Publications
Books
[B_1] Y. Liu, J. Liu, Z. Long, C. Zhu, Tensor Computation for Data Analysis, Springer, USA, 2022 (598 pages), ISBN: 978-3-030-74386-4 (ebook), ISBN: 978-3-030-74385-7 (hardcover), DOI: 10.1007/978-3-030-74386-4.
[B_2] C. Zhu, Y. Zhao, L. Yu and M. Tanimoto (Eds.), 3D-TV System with Depth-Image-Based Rendering: Architecture, Techniques and Challenges, Springer, USA, 2013 (490 pages), ISBN-10: 1441999639, ISBN-13: 978-1441999634.
[B_3] C. Zhu, Y. Li (Eds.), Advanced Video Communications over Wireless Networks, CRC PRESS, Taylor and Francis Group, LLC, USA, 2013 (512 pages), ISBN-10: 1439879982, ISBN-13: 978-1439879986.
[B_4] C. Zhu, Y. Li, and X. Niu (Eds.), Streaming Media Architectures, Techniques, and Applications: Recent Advances, IGI Global, USA, Nov. 2010 (482 pages), ISBN: 978-1-61692-831-5 (hardcover), ISBN: 978-1-61692-833-9 (ebook).
Book Chapters
[Bc_1] Y. Bi, Y. Lu, Z. Long, C. Zhu, and Y. Liu, “Tensor decompositions: computations, applications, and challenges,” in Tensors for Data Processing, Y. Liu (Eds.), Academic Press, 2022(ISBN: 9780128244470).
[Bc_2] Y. Zhao, C. Zhu, L. Yu and M. Tanimoto, “An Overview of 3DTV system using DIBR technique,” in 3DTV System with Depth-Image-Based Rendering: Architectures, Techniques and Challenges, C. Zhu, Y. Zhao, L. Yu, M. Tanimoto (Eds.), Springer, USA, 2013.
[Bc_3] Y. Zhao, C. Zhu, L. Yu, “Virtual View Synthesis and Artifact Reduction Techniques,” in 3DTV System with Depth-Image-Based Rendering: Architectures, Techniques and Challenges, C. Zhu, Y. Zhao, L. Yu, M. Tanimoto (Eds.), Springer, USA, 2013.
[Bc_4] W. Xiang, C. Zhu, C.K. Siew, Y. Xu, and M. Liu, “2-D Scalable Multiple Description Coding for Robust H.264/SVC Video Communications,” in Streaming Media Architectures, Techniques, and Applications: Recent Advances, C. Zhu, Y. Li, and X. Niu (Eds.), IGI Global, USA, Nov. 2010, ISBN: 978-1-61692-831-5 (hardcover), ISBN: 978-1-61692-833-9 (ebook).
[Bc_5] M. Liu and C. Zhu, “Multiple Description Coding with Application in Multimedia Watermarking,” in Handbook of Research on Secure Multimedia Distribution, S. Lian and Y. Zhang (Eds.), IGI Global, USA, Mar. 2009 (ISBN: 9781605662626).
Journal Papers
2024
[J_1] L. Zhou, M. Ye, X. Li, C. Zhu, Y. Liu, X. Li, “Disentanglement then reconstruction: Unsupervised domain adaptation by twice distribution alignments”, Expert Systems with Applications, vol. 237, Mar. 2024, doi: 10.1016/j.eswa.2023.121498.
2023
[J_2] H. Wang, M. Ye, X. Zhu, S. Li, X. Li, C. Zhu, “Compressed-SDR to HDR Video Reconstruction,” IEEE Transactions on Pattern Analysis and Machine Intelligence, Dec. 2023 (online early access), doi: 10.1109/TPAMI.2023.3346921.
[J_3] M. Yang, L. Zhang, D. Suzhang, C. Zhu, N. Zheng, “Misaligned RGB-Depth Boundary Identification and Correction for Depth Image Recovery,” IEEE Transactions on Broadcasting, Nov. 2023 (online early access), doi: 10.1109/TBC.2023.3332014.
[J_4] Z. Long, C. Zhu, P. Comon, Y. Ren, Y. Liu, “Feature Space Recovery for Efficient Incomplete Multi-View Clustering,” IEEE Transactions on Knowledge and Data Engineering, Nov. 2023 (online early access), doi: 10.1109/TKDE.2023.3333522.
[J_5] W. Tang, L. Qing, L. Li, Y. Wang, C. Zhu, “Progressive Graph Reasoning-Based Social Relation Recognition,” IEEE Transactions on Multimedia, Dec. 2023 (online early access), doi: 10.1109/TMM.2023.3344359.
[J_6] X. Lin, Y. Zhou, Y. Liu, C. Zhu, “Effective and Efficient Line Segment Detection for Visual Measurement Guided by Level Lines,” IEEE Transactions on Instrumentation and Measurement, vol. 72, pp. 1-12, 2023.
[J_7] X. Yang, M. Huang, L. Luo, H. Guo, C. Zhu, “Efficient Panoramic Video Coding for Immersive Metaverse Experience,” IEEE Network, Oct. 2023 (online early access), doi: 10.1109/MNET.2023.3319958.
[J_8] X. Cao, X. Zhang, C. Zhu, J. Liu, Y. Liu, “TS-RTPM-Net: Data-driven Tensor Sketching for Efficient CP Decomposition,” IEEE Transactions on Big Data, Aug. 2023 (online early access), doi: 10.1109/TBDATA.2023.3310254.
[J_9] Z. Long, C. Zhu, J. Chen, Z. Li, Y. Ren, Y. Liu, “Multi-view MERA Subspace Clustering,” IEEE Transactions on Multimedia, Aug. 2023 (online early access), doi: 10.1109/TMM.2023.3307239.
[J_10] X. Liu, Z. Chen, C. Zhu, Y. Liu, “GAPMSF-Net: Generalized Alternating Projection with Multi-stage Fusion Network for Snapshot Compressive Imaging,” IEEE Transactions on Computational Imaging, vol. 9, pp. 760-768, 2023.
[J_11] L. Feng, C. Zhu, Z. Long, J. Liu, Y. Liu, “Multiplex Transformed Tensor Decomposition for Multidimensional Image Recovery,” IEEE Transactions on Image Processing, vol. 32, pp. 3397-3412, 2023.
[J_12] Z. Zhang, Y. Liu, X. Cao, F. Wen, C. Zhu, “Scalable Deep Compressive Sensing,” Transactions on Machine Learning Research, Apr. 2023, doi: 10.48550/arXiv.2101.08024.
[J_13] H. Guo, C. Zhu, M. Ye, L. Luo, X. Yang, “Pre-encoding based temporal dependent rate–distortion optimization for HEVC,” Signal Processing: Image Communication, vol. 115, July 2023.
[J_14] X. Lin, Y. Zhou, Y. Liu, C. Zhu, “Level Line Guided Interest Point Detection,” IEEE Signal Processing Letters, vol. 30, pp. 863-867, 2023.
[J_15] B. Li, W. Cui, L. Zhang, C. Zhu, W. Wang, I. Tsang, J. T. Zhou, “DifFormer: Multi-Resolutional Differencing Transformer With Dynamic Ranging for Time Series Analysis,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 45, no. 11, pp. 13586-13598, Nov. 2023.
[J_16] Y. Lu, Y. Liu, Z. Long, Z. Chen, C. Zhu, “O-Minus Decomposition for Multi-view Tensor Subspace Clustering,” IEEE Transactions on Artificial Intelligence, pp. 1-14, July 2023 (online early access), doi: 10.1109/TAI.2023.3293479.
[J_17] H. Yang, X. Yang, K. Liu, G. Jeon, C. Zhu, “SCN: Self-Calibration Network for fast and accurate image super-resolution,” Expert Systems with Applications, vol. 226, Sep. 2023, doi: 10.1016/j.eswa.2023.120159.
[J_18] Y. Zhao, D. Luo, F. Wang, H. Gao, M. Ye, C. Zhu, “End-to-End Compression for Surveillance Video with Unsupervised Foreground-Background Separation,” IEEE Transactions on Broadcasting, vol. 69, no. 4, Dec. 2023.
[J_19] X. Lin, Y. Zhou, Y. Liu, C. Zhu, “A dedicated benchmark for contour-based corner detection evaluation,” Image and Vision Computing, vol. 136, Aug. 2023, doi: 10.1016/j.imavis.2023.104716.
[J_20] X. Lin, Y. Zhou, X. Zhang, Y. Liu, C. Zhu, “Illumination-insensitive Binary Descriptor for Visual Measurement Based on Local Inter-patch Invariance,” IEEE Transactions on Instrumentation and Measurement, vol. 72, 2023.
[J_21] Z. Zha, B. Wen, X. Yuan, J. Zhang, J. Zhou, Y. Lu, C. Zhu, “Nonlocal Structured Sparsity Regularization Modeling for Hyperspectral Image Denoising,” IEEE Transactions on Geoscience and Remote Sensing, vol. 61, pp. 1-16, 2023.
[J_22] D. Wang, X. Lu, Y. Sun, Q. Wang, W. Li, F. Dufaux, C. Zhu, “A Probability-Based Zero-Block Early Termination Algorithm for QSHVC,” IEEE Transactions on Broadcasting, vol. 69, no. 2, pp. 469-481, June 2023.
[J_23] L. She, M. Ye, S. Li, Y. Zhao, C. Zhu, H. Wang, “Single-image HDR reconstruction by dual learning the camera imaging process,” Engineering Applications of Artificial Intelligence, vol. 120, April 2023.
[J_24] Z. Zha, B. Wen, X. Yuan, J. Zhang, J. Zhou, X. Jiang, C. Zhu, “Multiple Complementary Priors for Multispectral Image Compressive Sensing Reconstruction,” IEEE Transactions on Cybernetics, pp. 1-14, Mar. 2023 (online early access), doi: 10.1109/TCYB.2023.3251730.
[J_25] G. Zhang, D. L. Lau, B. Xu, C. Zhu, K. Liu, “Circular fringe projection profilometry and 3D sensitivity analysis based on extended epipolar geometry,” Optics and Lasers in Engineering, vol. 162, Mar. 2023.
[J_26] X. Lin, Y. Zhou, Y. Liu, C. Zhu, “Illumination-insensitive Line Binary Descriptor Based on Hierarchical Band Difference,” IEEE Transactions on Circuits and Systems II: Express Briefs, vol. 70, no. 7, July 2023.
[J_27] H. Wang, M. Yang, C. Zhu, N. Zheng, “RGB-Guided Depth Map Recovery by Two-Stage Coarse-to-Fine Dense CRF Models,” IEEE Transactions on Image Processing, vol.32, pp. 1315-1328, 2023.
[J_28] Z. Zha, B. Wen, X. Yuan, S. Ravishankar, J. Zhou, C. Zhu, “Learning Nonlocal Sparse and Low-Rank Models for Image Compressive Sensing: Nonlocal sparse and low-rank modeling,” IEEE Signal Processing Magazine, vol. 40, no. 1, pp. 32-44, Jan. 2023.
[J_29] D. Wang, Y. Sun, W. Li, L. Xie, X. Lu, F. Dufaux, C. Zhu, “Hybrid Strategies for Efficient Intra Prediction in Spatial SHVC,” IEEE Transactions on Broadcasting, vol. 69, no. 2, pp. 455-468, June 2023.
2022
[J_30] H. Wang, M. Yang, X. Lan, C. Zhu, N. Zheng, “Depth Map Recovery Based on a Unified Depth Boundary Distortion Model,” IEEE Transactions on Image Processing, vol. 31, pp. 7020-7035, 2022.
[J_31] K. Liu, S. Ying, D. L. Lau, C. Zhu, B. Xu, “Symmetrical Epipolar Features Over Normalized Camera/Projector Calibration Matrices for Real-Time Structured Light Illumination,” IEEE Signal Processing Letters, vol. 29, pp. 2268-2272, 2022.
[J_32] H. Zhao, Y. Jiang, S. Wang, F. He, F. Ren, Z. Zhang, X. Yang, C. Zhu, J. Yue, Y. Li, Y. Liu, “Dysphagia diagnosis system with integrated speech analysis from throat vibration,” Expert Systems with Applications, vol. 204, Oct. 2022.
[J_33] D. Luo, M. Ye, S. Li, C. Zhu, X. Li, “Spatio-Temporal Detail Information Retrieval for Compressed Video Quality Enhancement,” IEEE Transactions on Multimedia, vol. 25, pp. 6808-6820, 2023.
[J_34] F. He, X. Hu, C. Zhu, Y. Li, Y. Liu, “Multi-Scale Spatial and Temporal Speech Associations to Swallowing for Dysphagia Screening,” IEEE/ACM Transactions on Audio, Speech, and Language Processing, vol. 30, pp. 2888-2899, 2022.
[J_35] G. Zhang, B. Xu, D. L. Lau, C. Zhu, K. Liu, “Correcting projector lens distortion in real time with a scale-offset model for structured light illumination,” Optics Express, vol. 30, no. 14, pp. 24507-24522, July 2022.
[J_36] Y. Zhang, C. Ren, C. Zhu, “Depth image super-resolution based on shape-adaptive non-local regression and non-local gradient regularization,” Journal of Computer Applications, vol. 42, no. 6, pp. 1941-1949, June 2022.
[J_37] H. Chen, L. Dong, H. Yang, X. He, C. Zhu, “Unsupervised Real-World Image Super-Resolution via Dual Synthetic-to-Realistic and Realistic-to-Synthetic Translations,” IEEE Signal Processing Letters, vol. 29, pp. 1282-1286, 2022.
[J_38] Z. Long, C. Zhu, J. Liu, P. Comon, Y. Liu, “Trainable Subspaces for Low Rank Tensor Completion: Model and Analysis,” IEEE Transactions on Signal Processing, vol. 70, pp. 2502-2517, 2022.
[J_39] Z. Jiang, X. Xu, L. Zhang, C. Zhang, C. S. Foo, C. Zhu, “MA-GANet: A Multi-Attention Generative Adversarial Network for Defocus Blur Detection,” IEEE Transactions on Image Processing, vol. 31, pp. 3494-3508, 2022.
[J_40] J. Liu, X. Song, Y. Zhou, X. Peng, Y. Zhang, P. Liu, D. Wu, C. Zhu, “Deep anomaly detection in packet payload,” Neurocomputing, vol. 485, pp. 205-218, May 2022.
[J_41] H. Chen, X. He, L. Qing, Y. Wu, C. Ren, R. E. Sheriff, C. Zhu, “Real-world single image super-resolution: A brief review,” Information Fusion, vol. 79, pp. 124-145, Mar. 2022.
[J_42] Z. Zha, B. Wen, X. Yuan, J. Zhou, C. Zhu, A. C. Kot, “Low-Rankness Guided Group Sparse Representation for Image Restoration,” IEEE Transactions on Neural Networks and Learning Systems, vol. 34, no. 10, pp. 7593-7607, Oct. 2023.
[J_43] X. Liu, H. Li, C. Zhu, “Joint Contrast Enhancement and Exposure Fusion for Real-World Image Dehazing,” IEEE Transactions on Multimedia, vol. 24, pp. 3934-3946, 2022.
[J_44] Y. Zhou, X. Song, Y. Zhang, F. Liu, C. Zhu, L. Liu, “Feature Encoding with Autoencoders for Weakly Supervised Anomaly Detection,” IEEE Transactions on Neural Networks and Learning Systems, vol. 24, pp. 3934-3946, June 2022.
[J_45] Z. Zha, X. Yuan, B. Wen, J. Zhang, C. Zhu, “Nonconvex Structural Sparsity Residual Constraint for Image Restoration,” IEEE Transactions on Cybernetics, vol. 52, no. 11, pp. 12440-12453, Nov. 2022.
[J_46] K. Fu, D. Fan, G. Ji, Q. Zhao, J. Shen, C. Zhu, “Siamese Network for RGB-D Salient Object Detection and Beyond,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 44, pp. 5541-5559, Sep. 2022.
[J_47] X. Xu, L. Zhang, LF. Cheong, Z. Li, C. Zhu, “Learning Clustering for Motion Segmentation,” IEEE Transactions on Circuits and Systems for Video Technology, vol. 32, no. 3, pp. 908-919, Mar. 2022.
[J_48] Z. Zha, B. Wen, X. Yuan, J. Zhou, C. Zhu and A. C. Kot, “A Hybrid Structural Sparsification Error Model for Image Restoration,” IEEE Transactions on Neural Networks and Learning Systems, vol. 33, no. 9, pp. 4451-4465, Sep. 2022.
2021
[J_49] C. Zhang, S. Li, Y. Mao, C. Zhu, X. Li, “Learning Various Length Dependence by Dual Recurrent Neural Networks,” Neurocomputing, vol. 466, pp. 1-15, Nov. 2021.
[J_50] J. Liu, C. Zhu, Z. Long, Y. Liu, “Tensor Regression,” Foundations and Trends in Machine Learning, vol. 14, No. 4, pp 379-565, Sep. 2021, doi: 10.1561/2200000087.
[J_51] Y. Min, M. Ye, L. Tian, Y. Jian, C. Zhu, S. Yang, “Unsupervised Feature Selection via Multi-step Markov Probability Relationship,” Neurocomputing, vol. 453, pp. 241-253, Sep. 2021.
[J_52] J. Xu, Y. Ren, G. Li, L. Pan, C. Zhu, Z. Xu, “Deep Embedded Multi-view Clustering with Collaborative Training,” Information Sciences, vol. 573, pp. 279-290, Sep. 2021.
[J_53] Y. Zhang, C. Ren, H. Chen, C. Zhu, K. Liu, “Single depth map super-resolution via joint non-local self-similarity modeling and local multi-directional gradient-guided regularization,” Signal Processing: Image Communication, vol. 97, Sep. 2021.
[J_54] Z. Zha, B. Wen, X. Yuan, T. Zhou, J. Zhou, C. Zhu, “Triply Complementary Priors for Image Restoration”, IEEE Transactions on Image Processing, vol. 30, pp. 5819-5834, 2021.
[J_55] Y. Zhang, H. Chen, C. Ren, C. Zhu, “Depth Map Super‐resolution via Shape-Adaptive Non-local Regression and Direction-based Local Smoothness,” Electronics Letters, vol. 57, no. 12, pp. 475-477, June 2021.
[J_56] Z. Zha, B. Wen, X. Yuan, J. Zhou, C. Zhu, “Image Restoration via Reconciliation of Group Sparsity and Low-Rank Models,” IEEE Transactions on Image Processing, vol. 30, pp. 5223-5238, 2021.
[J_57] J. Liu, C. Zhu, Z. Long, H. Huang, Y. Liu, “Low-rank tensor ring learning for multi-linear regression,” Pattern Recognition, vol. 113, May 2021.
[J_58] L. Zhou, M. Ye, D. Zhang, C. Zhu, L. Ji, “Prototype-Based Multisource Domain Adaptation,” IEEE Transactions on Neural Networks and Learning Systems, vol. 33, no. 10, pp. 5308-5320, Oct. 2021.
[J_59] Z. Long, C. Zhu, J. Liu, Y. Liu, “Bayesian Low Rank Tensor Ring for Image Recovery,” IEEE Transactions on Image Processing, vol. 30, pp. 3568-3580, 2021.
[J_60] K. Liu, X. Ran, J. Gong, J. Song, D. L. Lau, C. Zhu, B. Xu, “Extending epipolar geometry for real-time structured light illumination II: lossless accuracy,” Optics Letters, vol. 46, no. 4, pp. 837-840, Feb. 2021.
[J_61] Z. Zhang, Y. Liu, J. Liu, F. Wen, C. Zhu, “AMP-Net: Denoising based Deep Unfolding for Compressive Image Sensing,” IEEE Transactions on Image Processing, vol. 30, pp. 1487-1500, 2021.
2020
[J_62] J. Liu, C. Zhu, Y, Liu, “Smooth Compact Tensor Ring Regression,” IEEE Transactions on Knowledge and Data Engineering, Nov. 2020. DOI: 10.1109/TKDE.2020.3037131
[J_63] Z. Zha, X. Yuan, B. Wen, J. Zhou, C. Zhu, “Group Sparsity Residual Constraint with Non-Local Priors for Image Restoration,” IEEE Transactions on Image Processing, vol. 29, pp. 8960-8975, Sep. 2020.
[J_64] Z. Zha, X. Yuan, B. Wen, J. Zhang, J. Zhou, C. Zhu, “Image restoration using joint patch-group-based sparse representation,” IEEE Transactions on Image Processing, vol. 29, pp. 7735-7750, July 2020
[J_65] H. Guo, C. Zhu, M. Xu, S. Li, “Inter-Block Dependency-Based CTU Level Rate Control for HEVC,” IEEE Transactions on Broadcasting, vol. 66, no. 1, pp. 113-126, Mar. 2020.
[J_66] Z. Zha, X. Yuan, J. Zhou, C. Zhu, B. Wen, “Image Restoration via Simultaneous Nonlocal Self-Similarity Priors,” IEEE Transactions on Image Processing, vol. 29, pp. 8561-8576, Aug. 2020.
[J_67] H. Huang, Y. Liu, Z. Long, C. Zhu, “Robust Low-Rank Tensor Ring Completion,” IEEE Transactions on Computational Imaging, vol. 6, pp. 1117-1126, July 2020.
[J_68] Y. Liu, T. Liu, J. Liu, C. Zhu, “Smooth robust tensor principal component analysis for compressed sensing of dynamic MRI,” Pattern Recognition, vol. 102, June 2020.
[J_69] D. Wang, Y. Sun, C. Zhu, W. Li, F. Dufaux, “Fast Depth and Inter Mode Prediction for Quality Scalable High Efficiency Video Coding,” IEEE Transactions on Multimedia, vol. 22, no. 4, pp. 833-845, April 2020.
[J_70] Z. Zha, X. Yuan, B. Wen, J. Zhou, J. Zhang, C. Zhu, “A Benchmark for Sparse Coding: When Group Sparsity Meets Rank Minimization,” IEEE Transactions on Image Processing, vol. 29, pp. 5094-5109, Mar. 2020.
[J_71] K. Liu, J. Song, D. L. Lau, X. Zheng, C. Zhu, X. Yang “Divide and conquer: high-accuracy and real-time 3D reconstruction of static objects using multiple-phase-shifted structured light illumination,” Optics Express, vol. 28, no. 5, pp. 6995-7007, Mar. 2020.
[J_72] Y. Zhou, L. Tian, C. Zhu, X. Jin, Y. Sun, “Video Coding Optimization for Virtual Reality 360-Degree Source,” IEEE Journal of Selected Topics in Signal Processing, vol. 14, no. 1, pp. 118-129, Jan. 2020.
[J_73] Y. Liu, J. Liu, C. Zhu, “Low-Rank Tensor Train Coefficient Array Estimation for Tensor-on-Tensor Regression,” IEEE Transactions on Neural Networks and Learning Systems, vol. 31, no. 12, pp. 5402-5411, Dec. 2020.
[J_74] L. Feng, Y. Liu, L. Chen, X. Zhang, C. Zhu, “Robust Block Tensor Principal Component Analysis,” Signal Processing, vol. 166, Jan. 2020.
[J_75] H. Huang, Y. Liu, J. Liu, C. Zhu, “Provable Tensor Ring Completion,” Signal Processing, DOI: 10.1016/j.sigpro.2020.107486
[J_76] Y. Liu, Z. Long, H. Huang, C. Zhu, “Low CP Rank and Tucker Rank Tensor Completion for Estimating Missing Components in Image Data,” IEEE Transactions on Circuits and Systems for Video Technology, vol. 30, no. 4, pp. 944-954, April 2020.
2019
[J_77] L. Zhang, J. Liu, B. Zhang, D. Zhang, C. Zhu, “Deep Cascade Model based Face Recognition: When Deep-layered Learning Meets Small Data,” IEEE Transactions on Image Processing, vol. 29, pp. 1016-1029, Nov. 2019.
[J_78] C. Zhang, C. Zhu, X. Xu, “Revisiting image ordinal estimation: how to deal with ordinal relationship in deep learning?” Journal of Electronic Imaging, vol. 28, no. 1, Jan. 2019.
[J_79] L. Ali, C. Zhu, Z. Zhang, Y. Liu, “Automated Detection of Parkinson’s Disease Based on Multiple Types of Sustained Phonations using Linear Discriminant Analysis and Genetically Optimized Neural Network,” IEEE Journal of Translational Engineering in Health and Medicine, vol. 7, Oct. 2019.
[J_80] Z. Zha, X. Yuan, B. Wen, J. Zhou, J. Zhang, C. Zhu, “From Rank Estimation to Rank Approximation: Rank Residual Constraint for Image Restoration,” IEEE Transactions on Image Processing, vol. 29, pp. 3254-3269, Dec. 2019.
[J_81] K. Liu, J. Song, D. L. Lau, X. Zheng, C. Zhu, X. Yang “Reconstructing 3D point clouds in real time with look-up tables for structured light scanning along both horizontal and vertical directions,” Optics Letters, vol. 44, no. 24, pp. 6029-6032, Dec. 2019.
[J_82] L. Luo, T. Yang, C. Zhu, Z. Jin, S. Tang, “Joint Texture/Depth Power Allocation for 3D Video SoftCast,” IEEE Transactions on Multimedia, vol. 21, no. 12, pp. 2973-2984, Dec. 2019.
[J_83] L. Ali, C. Zhu, M. Zhou, Y. Liu, “Early diagnosis of Parkinson’s disease from multiple voice recordings by simultaneous sample and feature selection,” Expert Systems with Applications, vol. 137, pp. 22-28, Dec. 2019.
[J_84] T. Li, M. Xu, C. Zhu, R. Yang, Z. Wang, Z. Guan, “A Deep Learning Approach for Multi-Frame In-Loop Filter of HEVC,” IEEE Transactions on Image Processing, vol. 28, no. 11, pp. 5663-5678, Nov. 2019.
[J_85] X. Li, M. Ye, Y. Liu, C. Zhu, “Adaptive Deep Convolutional Neural Networks for Scene-Specific Object Detection,” IEEE Transactions on Circuits and Systems for Video Technology, vol. 29, no. 9, pp. 2538-2551, Sept. 2019.
[J_86] H. Guo, C. Zhu, S. Li, Y. Gao, “Optimal Bit Allocation at Frame Level for Rate Control in HEVC,” IEEE Transactions on Broadcasting, vol. 65, no. 2, pp. 270-281, July 2019.
[J_87] L. Ali, C. Zhu, N. A. Golilarz, A. Javeed, M. Zhou, Y. Liu, “Reliable Parkinson’s Disease Detection by Analyzing Handwritten Drawings: Construction of an Unbiased Cascaded Learning System Based on Feature Selection and Adaptive Boosting Model,” IEEE Access, vol. 7, pp. 116480-116489, July 2019.
[J_88] S. Li, W. Li, C. Cook, C. Zhu, Y. Gao, “A fully trainable network with RNN-based pooling,” Neurocomputing, vol. 338, pp. 72-82, April 2019.
[J_89] C. Duan, S. Wang, Q. Huang, T. Wen, C. Zhu, Y. Xu, “Feature Level MRI Fusion Based on 3D Dual Tree Compactly Supported Shearlet Transform,” Journal of Visual Communication and Image Representation, vol. 60, pp. 319-327, April 2019.
[J_90] M. Zhou, Y. Liu, Z. Long, L. Chen, C. Zhu, “Tensor Rank Learning in CP Decomposition via Convolutional Neural Network,” Signal Processing: Image Communication, vol. 73, pp. 12-21, April 2019.
[J_91] M. Yang, C. Zhu, X. Lan, N. Zheng, “Efficient Estimation of View Synthesis Distortion for Depth Coding Optimization,” IEEE Transactions on Multimedia, vol. 21, no. 4, pp. 863-874, April 2019.
[J_92] D. Wang, C. Zhu, Y. Sun, F. Dufaux, Y. Huang, “Efficient Multi-Strategy Intra Prediction for Quality Scalable High Efficiency Video Coding,” IEEE Transactions on Image Processing, vol. 28, no. 4, pp. 2063-2074, April. 2019.
[J_93] T. Yang, L. Luo, C. Zhu, S. Tang, “Block DCT based Optimization for Wireless SoftCast of Depth Map,” IEEE Access, vol. 7, pp. 29484-29494, Feb. 2019.
[J_94] Z. Long, Y. Liu, L. Chen, C. Zhu, “Low Rank Tensor Completion for Multiway Visual Data,” Signal Processing, vol. 155, pp. 301-316, Feb. 2019.
[J_95] Y. Liu, Z. Long, C. Zhu, “Image Completion Using Low Tensor Tree Rank and Total Variation Minimization,” IEEE Transactions on Multimedia, vol. 21, no. 2, pp. 338-350, Feb. 2019.
[J_96] Y. Gao, C. Zhu, S. Li, T. Yang, “Source Distortion Temporal Propagation Analysis for Random-Access Hierarchical Video Coding Optimization,” IEEE Transactions on Circuits and Systems for Video Technology, vol. 29, no. 2, pp. 546-559, Feb. 2019.
2018
[J_97] Y. Liu, L. Chen, C. Zhu, “Improved Robust Tensor Principal Component Analysis via Low Rank Core Matrix,” IEEE Journal of Selected Topics in Signal Processing, vol. 12, no. 6, pp. 1378-1389, Dec. 2018.
[J_98] C. Zhang, X. Xu, C. Zhu, “Image ordinal classification with deep multi-view learning,” Electronics Letters, vol. 54, no. 22, pp. 1280-1282, Nov. 2018.
[J_99] Y. Liu, C. Zhu, M. Mao, F. Song, F. Dufaux, X. Zhang, “Video Analytical Coding: When Video Coding Meets Video Analysis,” Signal Processing: Image Communication, vol. 67, pp. 48-57, Sept. 2018.
[J_100] C. Zhang, C. Zhu, X. Xu, Y. Liu, J. Xiao, T. Tillo, “Visual Aesthetic Understanding: Sample-Specific Aesthetic Classification and Deep Activation Map Visualization,” Signal Processing: Image Communication, vol. 67, pp. 12-21, Sept. 2018.
[J_101] S. Li, C. Zhu, M. Sun, “Hole Filling with Multiple Reference Views in DIBR View Synthesis,” IEEE Transactions on Multimedia, vol. 20, no. 8, pp. 1948-1959, Aug. 2018.
[J_102] Y. Liu, C. Zhu, M. Mao, “Light Field Image Compression Based on Quality Aware Pseudo-Temporal Sequence,” Electronics Letters, vol. 54, no. 8, pp. 500-501, April 2018.
[J_103] X. Lin, C. Zhu, Y. Liu, Q. Zhang, “Robust corner detection using altitude to chord ratio accumulation,” Multimedia Tools and Applications, vol 78, pp 177-195, Jan. 2018.
2017
[J_104] S. Wang, C. Wang, Q. Zhang, Y. Liu, C. Zhu, C. Duan, “Extended Smoothlets: An Efficient Multi-Resolution Adaptive Transform,” Journal of Visual Communication and Image Representation, vol. 50, pp. 178-185, Nov. 2017.
[J_105] X. Zhang, C. Zhu, H. Wu, Z. Liu, Y. Xu, “An Imbalance Compensation Framework for Background Subtraction,” IEEE Transactions on Multimedia, vol. 19, no. 11, pp. 2425-2438, Nov. 2017.
[J_106] S. Liang, T. Dresselaers, K. Louchami, C. Zhu, Y. Liu, U. Himmelreich, “Comparison of different compressed sensing algorithms for low SNR 19F MRI application – imaging of transplanted pancreatic islets and cells labeled with perfluorocarbons,” NMR in Biomedicine, vol. 30, no. 11, pp. 5122-5137, Nov. 2017.
[J_107] M. Yang, N. Zheng, C. Zhu, F. Wang, “A Novel Method of Minimizing View Synthesis Distortion based on Its Non-Monotonicity in 3D Video,” IEEE Transactions on Image Processing, vol. 26, no. 11, pp. 5122-5137, Nov. 2017.
[J_108] J. Bai, C.C. Chang，C. Zhu, “A Lossless Data Hiding Scheme Based on VQ Index Frequency,” Journal of Internet Technology, vol. 18, no. 6, pp. 1297-1310, Nov. 2017.
[J_109] X. Lin, C. Zhu, Q. Zhang, and Y. Liu, “Geometric mesh corner detection using triangle principle,” Electronics Letters, vol. 53, no. 20, pp. 1354-1356, Sept. 2017.
[J_110] X. Lin, C. Zhu, Q. Zhang, X. Huang, Y. Liu, “Efficient and Robust Corner Detectors Based on Second Order Difference of Contour,” IEEE Signal Processing Letters, vol. 24, no. 9, pp. 1393-1397, Sept. 2017.
[J_111] Y. Gao, C. Zhu, S. Li, T. Yang, “Temporally Dependent Rate-Distortion Optimization for Low-Delay Hierarchical Video Coding,” IEEE Transactions on Image Processing, vol. 26, no. 9, pp. 4457-4470, Sept. 2017.
[J_112] X. Zhang, C. Zhu, S. Wang, Y. Liu, M. Ye, “A Bayesian Approach to Camouflaged Moving Object Detection,” IEEE Transactions on Circuits and Systems for Video Technology, vol. 27, no. 9, pp. 2001-2013, Sept. 2017.
[J_113] J. Liu, Y. Xu, S. Wang, C. Zhu, “Complex Wavelet-Domain Image Watermarking Algorithm Using L1-norm Function-Based Quantization,” Circuits, Systems, and Signal Processing, vol. 37, pp. 1268-1286, July 2017.
[J_114] Y. Liu, S. Wu, X. Huang, B. Chen, C. Zhu, “Hybrid CS-DMRI: Periodic Time-Variant Subsampling and Omnidirectional Total Variation Based Reconstruction,” IEEE Transactions on Medical Imaging, vol. 36, no. 10, pp. 2148-2159, June 2017.
[J_115] Y. Zhang, Y. Wang, C. Zhu, Y. Lin, J. Zheng, “Optimization of depth modeling modes in 3D-HEVC depth intra coding,” Journal of Real-Time Image Processing, vol. 13, no. 1, pp. 85-100, Mar. 2017.
[J_116] J. Bai, C.C. Chang, T.S. Nguyen, C. Zhu, Y. Liu, “A High Payload Steganographic Algorithm Based on Edge Detection,” Displays, vol. 46, pp. 42-51, Jan. 2017.
2016
[J_117] C. Zhu, S. Li, J. Zheng, Y. Gao, L. Yu, “Texture-Aware Depth Prediction in 3D Video Coding,” IEEE Transactions on Broadcasting, vol. 62, no. 2, pp. 482-486, June 2016.
[J_118] C. Zhu, S. Li, “Depth Image Based View Synthesis: New Insights and Perspectives on Hole Generation and Filling,” IEEE Transactions on Broadcasting, vol. 62, no. 1, pp. 82-93, Mar. 2016
[J_119] S. Li, C. Zhu, Y.B. Gao, Y.M. Zhou, F. Dufaux, M.T. Sun, “Lagrangian Multiplier Adaptation for Rate-Distortion Optimization with Inter-frame Dependency,” IEEE Transactions on Circuits and Systems for Video Technology, vol. 26, no. 1, pp. 117-129, Jan. 2016.
1994 - 2015
[J_120] J. Cheng, H. Liu, F. Wang, H. Li, C. Zhu, “Silhouette Analysis for Human Action Recognition Based on Supervised Temporal t-SNE and Incremental Learning,” IEEE Transactions on Image Processing, vol. 24, no. 10, pp. 3203-3217, Oct. 2015.
[J_121] M. Fu, P. Xu, X. Li, Q. Liu, M. Ye, C. Zhu, “Fast Crowd Density Estimation with Convolutional Neural Networks,” Engineering Applications of Artificial Intelligence, vol. 43, pp. 81-88, Aug. 2015.
[J_122] L. Dong, Y. Fang, W. Lin, C. Deng, C. Zhu, H.S. Seah, “Exploiting Entropy Masking in Perceptual Graphic Rendering,” Signal Processing: Image Communication, vol. 33, pp. 1-13, April 2015.
[J_123] J. Lei, S. Li, C. Zhu, M.-T. Sun, C. Hou, “Depth Coding Based on Depth-Texture Motion and Structure Similarities,” IEEE Transactions on Circuits and Systems for Video Technology, vol. 25, no. 2, pp. 275-286, Feb. 2015.
[J_124] J. Xiao, M. Hannuksela, T. Tillo, M. Gabbouj, C. Zhu, Y. Zhao, “Scalable Bit Allocation between Texture and Depth Views for 3D Video Streaming over Heterogeneous Networks,” IEEE Transactions on Circuits and Systems for Video Technology, vol. 25, no. 1, pp. 139-152, Jan. 2015.
[J_125] Y. Wang, C. Zhu, J. Zhang, Y. Jian, “Convolutional Virtual Electric Field for Image Segmentation Using Active Contours,” PLoS ONE, vol. 10, no. 9, pp. 1-12, Oct. 2014.
[J_126] Y. Xu, C. Zhu, L. Yu, “Multipath Routing of Multiple Description Coded Images in Wireless Networks,” Journal of Computer Science and Technology, vol. 29, no. 4, pp. 576-588, July 2014.
[J_127] L. Wang, H. Chen, Z. Liu, C. Zhu, “A Robust Elastic Net Approach for Feature Learning,” Journal of Visual Communication and Image Representation, vol. 25, no. 2, pp. 313-321, Feb. 2014.
[J_128] S. Li, J. Lei, C. Zhu, L. Yu, C. Hou, “Pixel-Based Inter Prediction in Coded Texture Assisted Depth Coding,” IEEE Signal Processing Letters, vol. 21, no. 1, pp. 74-78, Jan. 2014.
[J_129] Y. Xu, C. Zhu, “End-to-End Rate-Distortion Optimized Description Generation for H.264 Multiple Description Video Coding,” IEEE Transactions on Circuits and Systems for Video Technology, vol. 23, no. 9, pp. 1523-1536, Sept. 2013.
[J_130] L. Qin, C. Zhu, Y. Zhao, H. Bai, H. Tian, “Generalized Gradient Vector Flow for Snakes: New Observations, Analysis and Improvement,” IEEE Transactions on Circuits and Systems for Video Technology, vol. 23, no. 5, pp. 883-897, May 2013.
[J_131] Y. Xu, C. Zhu, “Multi-description Multipath Video Streaming in Wireless Ad Hoc Networks,” Signal Processing: Image Communication, vol. 27, no. 8, pp. 836–848, Sept. 2012.
[J_132] Y. Xu, C. Zhu, W. Zeng, X. Li, “Multiple Description Coded Video Streaming in Peer-to-Peer Networks,” Signal Processing: Image Communication, Special Issue on Advances in 2D/3D Video Streaming over P2P, vol. 27, no. 5, pp. 412-429, May 2012.
[J_133] Y. Li, Z. Lu, C. Zhu, X. Niu, “Robust Image Hashing based on Random Gabor Filtering and Dithered Lattice Vector Quantization,” IEEE Transactions on Image Processing, vol. 21, no. 4, pp. 1963-1980, April 2012.
[J_134] M. Liu, H. Seah, C. Zhu, W. Lin, F. Tian, “Reducing Location Map In Prediction-Based Difference Expansion For Reversible Image Data Embedding,” Signal Processing, vol. 92, no. 3, pp. 819-828, Mar. 2012.
[J_135] Y. Zhao, L. Yu, Z. Chen, C. Zhu, “Video Quality Assessment Based on Measuring Perceptual Noise from Spatial and Temporal Perspectives,” IEEE Transactions on Circuits and Systems for Video Technology, vol. 21, no. 12, pp. 1890-1902, Dec. 2011.
[J_136] Y. Zhao, C. Zhu, Z. Chen, L. Yu, “Depth No-Synthesis-Error Model for View Synthesis in 3-D Video,” IEEE Transactions on Image Processing, vol. 20, no. 8, pp. 2221-2228, Aug. 2011.
[J_137] B. Xiong, X. Fan, C. Zhu, X. Jing, Q. Peng, “Face Region Based Conversational Video Coding,” IEEE Transactions on Circuits and Systems for Video Technology, vol. 21, no. 7, pp. 917-931, July 2011.
[J_138] Y. Xu, C. Zhu, X. Li, and W. Zeng, “Multiple Description Coding Based Video Streaming in Peer-to-Peer Networks,” IEEE ComSoc MMTC E-Letter, Special Issue on Media Coding in Social/P2P Network Paradigm, vol. 6, no. 7, pp. 49-52, July 2011.
[J_139] Y. Zhao, C. Zhu, Z. Chen, D. Tian, L. Yu, “Boundary Artifact Reduction in View Synthesis of 3D Video: From Perspective of Texture-Depth Alignment,” IEEE Transactions on Broadcasting, vol. 57, no. 2, pp. 510-522, June 2011.
[J_140] S. Wei, Y. Zhao, C. Zhu, C. Xu, Z. Zhu, “Frame Fusion for Video Copy Detection,” IEEE Transactions on Circuits and Systems for Video Technology, vol. 21, no. 1, pp. 15-28, Jan. 2011.
[J_141] Y. Zhao, Z. Chen, C. Zhu, Y. Tan, L. Yu, “Binocular Just-Noticeable-Difference Model for Stereoscopic Images,” IEEE Signal Processing Letters, vol. 18, no. 1, pp. 19-22, Jan. 2011.
[J_142] Y. Zhang, C. Zhu, “Adaptive Coset Partition for Distributed Video Coding,” Signal Processing, vol. 90, no. 8, pp. 2480-2486, Aug. 2010.
[J_143] K. Yap, K. Wu, C. Zhu, “Knowledge Propagation in Collaborative Tagging for Image Retrieval,” Journal of Signal Processing Systems, vol. 59, no. 2, pp. 163-175, May 2010.
[J_144] H. Bai, Y. Zhao, C. Zhu, A. Wang, “Multiple Description Video Coding Using Joint Frame Duplication/Interpolation,” Computing and Informatics, vol. 29, no. 6, pp. 1267-1282, 2010.
[J_145] W. Xiang, C. Zhu, C. Siew, Y. Xu, and M. Liu, “Forward error correction-Based 2-D Layered Multiple Description Coding for Error-Resilient H.264 SVC Video Transmission,” IEEE Transactions on Circuits and Systems for Video Technology, vol. 19, no. 12, pp. 1730-1738, Dec. 2009.
[J_146] Q. Peng, L. Zhang, T. Yang, J.X. Chen, and C. Zhu, “Key-Frame Reference Selection for Non-Feedback Video Communication,” The Journal of China Universities of Posts and Telecommunications, vol. 16, no. 5, pp. 92-102, Oct. 2009.
[J_147] C. Lin, Y. Zhao, C. Zhu, “Two-Stage Multiple Description Image Coding Using TCQ,” International Journal of Wavelets, Multiresolution and Information Processing, vol. 7, no. 5, pp. 665-673, Sept. 2009.
[J_148] C. Zhu, B. Xiong, “Transform-Exempted Calculation of Sum of Absolute Hadamard Transformed Differences,” IEEE Transactions on Circuits and Systems for Video Technology, vol. 19, no. 8, pp. 1183-1188, Aug. 2009.
[J_149] B. Xiong, C. Zhu, “Efficient Block Matching Motion Estimation Using Multi-level Intra- and Inter-Subblock Features Subblock-Based SATD,” IEEE Transactions on Circuits and Systems for Video Technology, vol. 19, no. 7, pp. 1039-1043, July 2009.
[J_150] M. Liu, C. Zhu, “M-Description Lattice Vector Quantization: Index Assignment and Analysis,” IEEE Transactions on Signal Processing, vol. 57, no. 6, pp. 2258-2274, June 2009.
[J_151] C. Zhu, M. Liu, “Multiple Description Video Coding Based on Hierarchical B Pictures,” IEEE Transactions on Circuits and Systems for Video Technology, vol. 19, no. 4, pp. 511-521, April 2009.
[J_152] M. Liu, C. Zhu, “Enhancing Two-Stage Multiple Description Scalar Quantization,” IEEE Signal Processing Letters, vol. 16, no. 4, pp. 253-256, April 2009.
[J_153] Y. Zhang, C. Zhu, K. Yap, “A Joint Source-Channel Video Coding Scheme Based on Distributed Source Coding,” IEEE Transactions on Multimedia, vol. 10, no. 8, pp. 1648-1656, Dec. 2008.
[J_154] Z. Zhang, C. Zhu, Y. Zhao, “Two-Description Image Coding with Steganography,” IEEE Signal Processing Letters, vol. 15, pp. 887-890, 2008.
[J_155] C. Lin, Y. Zhao, C. Zhu, “Two-Stage Diversity-Based Multiple Description Image Coding,” IEEE Signal Processing Letters, vol. 15, pp. 837-840, 2008.
[J_156] M. Liu, C. Zhu, “Index Assignment for 3-Description Lattice Vector Quantization Based on A2 Lattice,” Signal Processing, vol. 88, no. 11, pp. 2754-2763, Nov. 2008.
[J_157] B. Xiong, C. Zhu, “A New Multiplication-Free Block Matching Criterion,” IEEE Transactions on Circuits and Systems for Video Technology, vol. 18, no. 10, pp. 1441-1446, Oct. 2008.
[J_158] H. Bai, C. Zhu, Y. Zhao, “Optimized Multiple Description Lattice Vector Quantization for Wavelet Image Coding,” IEEE Transactions on Circuits and Systems for Video Technology, vol. 17, no. 7, pp. 912-917, July 2007.
[J_159] B. Xiong, C. Zhu, C. Charoansak and W. Yu, “An FPGA Prototyping of Gabor-wavelets Transform for Motion Detection,” International Journal of Computer Sciences and Engineering Systems, vol. 1, no. 1, pp. 65-70, Jan. 2007.
[J_160] X. Yang, C. Zhu, Z.G. Li, X. Lin, N. Ling, “An Unequal Packet Loss Resilience Scheme for Video over the Internet,” IEEE Transactions on Multimedia, vol. 7, no. 4, pp. 753-765, Aug. 2005.
[J_161] C. Zhu, W. Qi, W. Ser, “Predictive Fine Granularity Successive Elimination for Fast Optimal Block Matching Motion Estimation,” IEEE Transactions on Image Processing, vol. 14, no. 2, pp. 213-221, Feb. 2005.
[J_162] C. Zhu, X. Lin, L. Chau, L.M. Po, “Enhanced Hexagonal Search for Fast Block Motion Estimation,” IEEE Transactions on Circuits and Systems for Video Technology, vol. 14, no. 10, pp. 1210-1214, Oct. 2004.
[J_163] C. Zhu, X. Lin, L.P. Chau, H. Ang and C. Ong, “Efficient Inner Search For Faster Diamond Search,” Signal Processing, vol. 84, no. 3, pp. 527-533, Mar. 2004.
[J_164] Z.G. Li, C. Zhu, N. Ling, X.K. Yang, G. Feng, S. Wu, F. Pan, “A Unified Architecture for Real Time Video Coding Systems,” IEEE Transactions on Circuits and Systems for Video Technology, vol. 13, no. 6, pp. 472-487, June 2003.
[J_165] L. Chau, C. Zhu, “A fast octagon based search algorithm for motion estimation,” Signal Processing, vol. 83, no. 3, pp. 671-675, Mar. 2003.
[J_166] X. Jing, C. Zhu, L.P. Chau, “Smooth constrained motion estimation for video coding,” Signal Processing, vol. 83, no. 3, pp. 677-680, Mar. 2003.
[J_167] X.K. Yang, C. Zhu, Z. G. Li, X. Lin, G. Feng, S. Wu and N. Ling, “Unequal Loss Protection for Robust Transmission of Motion Compensated Video over the Internet,” Signal Processing: Image Communication, vol. 18, no. 3, pp. 157-167, Mar. 2003.
[J_168] Z.G. Li, X. Lin, C. Zhu, X.K. Yang and G. Feng, “A Congestion Control Strategy for Multipoint Videoconferencing,” IEEE Transactions on Circuits and Systems for Video Technology, vol. 12, no. 11, pp. 1025-1029, Nov. 2002.
[J_169] C. Zhu, “A New Subsampling-Based Predictive Vector Quantization for Image Coding,” Signal Processing: Image Communication, vol. 17, no. 6, pp. 477-484, July 2002.
[J_170] C. Zhu, X. Lin, L.P. Chau, “Hexagon-Based Search Pattern for Fast Block Motion Estimation,” IEEE Transactions on Circuits and Systems for Video Technology, vol. 12, no. 5, pp. 349-355, May 2002.
[J_171] C. Zhu, L.M. Po, Y. Hua, “Optimized Feature Map Finite-State Vector Quantization for Image Coding,” IEE Proceedings – Vision, Image and Signal Processing, vol. 147, no. 3, pp. 266-270, June 2000.
[J_172] C. Zhu, Y. Hua, “Image Vector Quantization with Minimax distortion,” IEEE Signal Processing Letters, vol. 6, no. 2, pp. 25-27, Feb. 1999.
[J_173] C. Zhu, L.M. Po, “Minimax Partial Distortion Competitive Learning for Optimal Codebook Design,” IEEE Transactions on Image Processing, vol. 7, no. 10, pp. 1400-1409, Oct. 1998.
[J_174] C. Zhu, L.M. Po, “Partial distortion sensitive competitive learning algorithm for optimal codebook design,” Electronics Letters (IEE), vol. 32, no. 19, pp. 1757-1758, Sept. 1996.
[J_175] C. Zhu, L.H. Li, T.J. Wang, Z.Y. He, “Partial-distortion-weighted fuzzy competitive learning algorithm for vector quantization,” Electronics Letters (IEE), vol. 30, no. 6, pp. 505-506, Mar. 1994.
Conference Papers
2024
[C_1] D. Wang, Y. Deng, W. Li, X. Lu, F. Dufaux, B. Hang, C. Zhu, “Fast Intra mode prediction algorithms for SCBs in VVC SCC,” IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2024), Seoul, Korea, Apr. 2024.
2023
[C_2] X. Chen, J. Xu, Y. Ren, X. Pu, C. Zhu, X. Zhu, Z. Hao, L. He, “Federated Deep Multi-View Clustering with Global Self-Supervision,” Proceedings of the 31st ACM International Conference on Multimedia (ACM MM 2023), Ottawa, Canada, Oct. 2023.
[C_3] A. Li, L. Zhang, Y. Liu, C. Zhu, “Feature Modulation Transformer: Cross-Refinement of Global Representation via High-Frequency Prior for Image Super-Resolution,” IEEE International Conference on Computer Vision (ICCV 2023), Paris, France, Oct. 2023.
[C_4] Z. Li, C. Zhu, Z. Long, Y. Liu, “Optimal Low-Rank Tensor Tree Completion,” 25th IEEE International Workshop on Multimedia Signal Processing (MMSP 2023), Poitiers, France, Sep. 2023.
[C_5] Z. Yan, J. Xu, H. He, S. Li, R. Yang, M. Xu, C. Zhu, “Predicting the Invariance behind Residuals: A Novel GAN Inversion Method for Image Editing and Detail Retaining,” 25th IEEE International Workshop on Multimedia Signal Processing (MMSP 2023), Poitiers, France, Sep. 2023.
[C_6] H. Guo, C. Zhu, Y. Liu, X. Yang, L. Luo, “Lagrange multiplier adaptation at CTU-level for VVC low-delay hierarchical coding,” IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB 2023), Beijing, China, June 2023.
[C_7] J. Hou, H. Guo, Y. Liu, L. Feng, X. Yang, L. Luo, C. Zhu, “Latitude-Guided Temporally Dependent Rate-Distortion Optimization For Panoramic Video Coding,” IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB 2023), Beijing, China, June 2023.
[C_8] J. Wu, B. Cheng, L. Luo, C. Zhu, H. Guo, “Efficient Video SoftCast For Intelligent Reflective Surfaces Assisted Symbiotic Radio Network,” IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB 2023), Beijing, China, June 2023.
[C_9] D. Wang, X. Lu, F. Dufaux, Q. Wang, W. Li, B. Hang, C. Zhu, “A Probability-Based All-Zero Block Early Termination Algorithm For QSHVC,” IEEE International Conference on Image Processing (ICIP 2023), Kuala Lumpur, Malaysia, Oct. 2023.
[C_10] D. Wang, L. Chen, X. Lu, F. Dufaux, W. Li, C. Zhu, “Fast Learning-Based Split Type Prediction Algorithm For VVC,” IEEE International Conference on Image Processing (ICIP 2023), Kuala Lumpur, Malaysia, Oct. 2023.
[C_11] J. Zhang, K. Yap, L. Chau, C. Zhu, “Nonlocal Low-Rank Residual Modeling For Image Compressive Sensing Reconstruction,” IEEE International Conference on Image Processing (ICIP 2023), Kuala Lumpur, Malaysia, Oct. 2023.
[C_12] X. Lin, Y. Zhou, X. Zhang, Y. Liu, C. Zhu, “Efficient and Effective Multi-Camera Pose Estimation with Weighted M-Estimate Sample Consensus,” IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Rhodes Island, Greece, June 2023, doi: 10.1109/ICASSP49357.2023.10096791.
[C_13] X. Lin, Y. Zhou, Y. Liu, C. Zhu, “Level-Line Guided Edge Drawing for Robust Line Segment Detection,” IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Rhodes Island, Greece, June 2023, doi: 10.1109/ICASSP49357.2023.10096818.
[C_14] Z. Zha, B. Wen, X. Yuan, J. Zhou, C. Zhu, “Hyperspectral Image Denoising via Nonlocal Rank Residual Modeling,” IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Rhodes Island, Greece, June 2023, doi: 10.1109/ICASSP49357.2023.10096242.
[C_15] D. Wang, Y. Sun, W. Li, L. Xie, X. Lu, F. Dufaux, C. Zhu, “A Novel Mode Selection-Based Fast Intra Prediction Algorithm for Spatial SHVC,” IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Rhodes Island, Greece, June 2023, doi: 10.1109/ICASSP49357.2023.10096913.
[C_16] J. Liu, Q. Tao, C. Zhu, Y. Liu, J. A. K. Suykens, “Tensorized LSSVMS for Multitask Regression,” IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Rhodes Island, Greece, June 2023, doi: 10.1109/ICASSP49357.2023.10094580.
[C_17] Z. Long, C. Zhu, P. Comon, Y. Liu, “Feature Space Recovery for Incomplete Multi-View Clustering,” IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Rhodes Island, Greece, June 2023, doi: 10.1109/ICASSP49357.2023.10095489.
2022
[C_18] F. Liu, C. Zeng, L. Zhang, Y. Zhou, Q. Mu, Y. Zhang, L. Zhang, C. Zhu, “FedTADBench: Federated Time-series Anomaly Detection Benchmark,” IEEE International Conference on High Performance Computing & Communications (HPCC 2022), Chengdu, China, Mar. 2022. Best Paper Award
[C_19] Y. Gao, S. Li, C. Zhu, “Light Field Integral Image Coding Optimization under 2D Hierarchical Coding Structure,” IEEE International Conference on Image Processing (ICIP 2022), Bordeaux, France, Oct. 2022, doi: 10.1109/ICIP46576.2022.9897421.
[C_20] X. Lin, Y. Zhou, Y. Liu, C. Zhu, “Long-term Visual Localization Using Illumination Insensitive Descriptors,” IEEE 24th International Workshop on Multimedia Signal Processing (MMSP), Shanghai, China, Sep. 2022. Best Demo Award
[C_21] H. Wang, M. Ye, X. Zhu, S. Li, C. Zhu, X. Li, “KUNet: Imaging Knowledge-Inspired Single HDR Image Reconstruction,” International Joint Conferences on Artificial Intelligence Organization(IJCAI 2022), Vienna, Austria, July 2022, doi: 10.24963/ijcai.2022/196.
[C_22] H. Qin, Z. Jiang, Y. Wang, H. Guo, C. Zhu, D. Ding, Z. Liu, “Temporally Dependent Rate-Distortion Optimization for AV1 Encoder,” IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB), Bilbao, Spain, June 2022.
[C_23] Z. Zha, B. Wen, X. Yuan, J. Zhou, C. Zhu, “Simultaneous Nonlocal Low-Rank And Deep Priors For Poisson Denoising,” IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Singapore, Singapore, May 2022.
[C_24] S. Thabet, E. Osei-Mensah, L. Luo, C. Zhu, “Joint Power and Bandwidth Allocation for 3D Video SoftCast,” Proceedings of the 6th International Conference on Digital Signal Processing (ICDSP), New York, USA, Feb. 2022.
2021
[C_25] L. Feng, C. Zhu, and Y. Liu, “Multi-mode Tensor Singular Value Decomposition for Low-Rank Image Recovery,” International Conference on Image and Graphics (ICIG 2021), Haikou, China, Aug. 2021, doi: 10.1007/978-3-030-87358-5_19.
[C_26] Z. Zha, B. Wen, X. Yuan, J. Zhou, C. Zhu, “Low-Rank Regularized Joint Sparsity for Image Denoising,” IEEE International Conference on Image Processing (ICIP 2021), Anchorage, Alaska, USA, Sep. 2021.
[C_27] Q. He, W. Wu, L. Luo, C. Zhu and H. Guo. “Random Forest based Fast CU Partition for VVC Intra Coding.” IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB 2021), Chengdu, China, Aug. 2021.
[C_28] L. Ali, C. Zhu, H. Zhao, Z. Zhang, Y. Liu, “An Integrated System for Unbiased Parkinson’s Disease Detection from Handwritten Drawings,” Euro-China Conference on Intelligent Data Analysis and Applications (ECC 2021), Hangzhou, China, May 2021.
[C_29] S. Wang, Y. Jiang, H. Zhao, X. Yang, Z. Zhang, C. Zhu, Y. Li, Y. Liu, “Smart Dysphagia Detection System with Adaptive Boosting Analysis of Throat Signals,” IEEE International Symposium on Circuits and Systems (ISCAS 2021), Daegu, Korea, May 2021.
[C_30] Z. Zhang, Y. Jiang, X. Cao, X. Yang, C. Zhu, Y. Li, Y. Liu, “Deep Learning Based Gait Analysis for Contactless Dementia Detection System from Video Camera,” IEEE International Symposium on Circuits and Systems (ISCAS 2021), Daegu, Korea, May 2021.
[C_31] L. Feng, S. Wang, C. Zhu, Y. Liu, “Recent Advances on Robust Tensor Principal Component Analysis,” IJCAI-PRICAI 2020 workshop on Tensor Network Representations in Machine Learning, Yokohama, Japan, Jan. 2021.
2020
[C_32] Z. Zha, X. Yuan, T. Zhou, J. Zhou, B. Wen, C. Zhu, “The Power of Triply Complementary Priors For Image Compressive Sensing,” IEEE International Conference on Image Processing (ICIP 2020), Virtual Conference, Oct. 2020.
[C_33] Z. Jiang, X. Xun, C. Zhang, C. Zhu, “MultiANet: A Multi-Attention Network for Defocus Blur Detection,” IEEE 22nd International Workshop on Multimedia Signal Processing(MMSP), Tampere, Finland, Sep. 2020.
[C_34] S. Li, L. Zheng, C. Zhu, Y. Gao, “Bidirectional Independently Recurrent Neural Network for Skeleton-based Hand Gesture Recognition,” IEEE International Symposium on Circuits and Systems (ISCAS), Seville, Spain, Oct. 2020.
[C_35] H. Guo, C. Zhu, Y. Liu, M. Ye, L. Luo, “Temporal dependency based Lagrange multiplier adaptation for HEVC,” IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB), Paris, France, Oct. 2020.
[C_36] Z. Zha, B. Wen, X. Yuan, J. Zhou, C. Zhu, “Reconciliation of Group Sparsity and Low-rank models for Image Restoration,” IEEE International Conference on Multimedia and Expo (ICME), London, UK, July 2020. Best Paper Runner Up Award
[C_37] M. Zhou, J. Wu, Y. Liu, S. Liu, C. Zhu, “DaST: Data-free Substitute Training for Adversarial Attacks,” IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Seattle, USA, June 2020.
[C_38] F. Zhang, X. Zhu, H. Dai, M. Ye, C. Zhu, “Distribution-Aware Coordinate Representation for Human Pose Estimation,” IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Seattle, USA, June 2020.
[C_39] Z. Zha, X. Yuan, J. Zhou, C. Zhu, B. Wen, “A Hybrid Structural Sparse Error Model for Image Deblocking,” IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), May 2020.
2019
[C_40] L. Zheng, S. Li, C. Zhu, Y. Gao, “Application of IndRNN for human activity recognition: the Sussex-Huawei locomotion-transportation challenge,” the 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and the 2019 ACM International Symposium (UbiComp2019), London, UK, Sept. 2019.
[C_41] Y. Liu, H. Guo, C. Zhu, Y. Liu, “Spherical Position Dependent Rate-Distortion Optimization for 360-Degree Video Coding,” Asia-Pacific Signal and Information Processing Association (APSIPA), Lanzhou, China, Nov. 2019.
[C_42] J. Feng, S. Li, Y. Sui, L. Meng, C. Zhu, “Integrating Action-aware Features for Saliency Prediction via Weakly Supervised Learning,” Asia-Pacific Signal and Information Processing Association (APSIPA), Lanzhou, China, Nov. 2019.
[C_43] L. Meng, S. Li, J. Feng, Y. Liu, C. Zhu, “Multiple Context Aggregation Network for Saliency Prediction,” China Symposium on Cognitive Computing and Hybrid Intelligence (CCHI), Xi’an, China, Sept. 2019.
[C_44] Z. Zha, X. Yuan, B. Wen, J. Zhang, J. Zhou, C. Zhu, “Simultaneous Nonlocal Self-Similarity Prior for Image Denoising,” IEEE International Conference on Image Processing (ICIP), Taipei, China, Sept. 2019.
[C_45] Z. Zha, B. Wen, J. Zhang, J. Zhou, C. Zhu, “A Comparative Study for the Nuclear Norms Minimization Methods,” IEEE International Conference on Image Processing (ICIP), Taipei, China, Sept. 2019.
[C_46] Y. Tang, X. Zhang, C. Zhu, “A Pruning Method based on Feature Abstraction Capability of Filters,” International Conference on Image and Graphics (ICIG), Beijing, China, Aug. 2019.
[C_47] D. Wang, Y. Sun, W. Li, C. Zhu, F. Dufaux, “Fast Inter Mode Predictions for SHVC,” IEEE International Conference on Multimedia and Expo (ICME), Shanghai, China, July 2019.
[C_48] C. Zhang, S. Liu, X. Xu, C. Zhu, “C3AE: Exploring the Limits of Compact Model for Age Estimation,” IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Long Beach, USA, June 2019.
[C_49] H. Guo, C. Zhu, M. Xu, S. Li, “Temporal dependency based CTU-level bit allocation for rate control,” IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB), Jeju, South Korea, June 2019.
[C_50] S. Wang, D. Hu, S. Li, C. Zhu, C. Duan, “Residual Multismoothlets,” IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB), Jeju, South Korea, June 2019.
2018
[C_51] Z. Zha, X. Yuan, B. Wen, J. Zhou, C. Zhu, “Joint Patch-Group Based Sparse Representation for Image Inpainting,” Asian Conference on Machine Learning (ACML), Beijing, China, Nov. 2018.
[C_52] L. Chen, Y. Liu, C. Zhu, “Robust Tensor Principal Component Analysis in All Modes,” IEEE International Conference on Multimedia and Expo (ICME), San Diego, USA, July 2018.
[C_53] C. Zhang, C. Zhu, J. Xiao, X. Xu, Y. Liu, “Image Ordinal Classification and Understanding: Grid Dropout with Masking Label,” IEEE International Conference on Multimedia and Expo (ICME), San Diego, USA, July 2018.
[C_54] S. Li, W. Q. Li, C. Cook, C. Zhu, Y. B. Gao, “Indenpendently recurrent neural network (IndRNN): building a longer and deeper RNN,” IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Salt Lake City, USA, June 2018.
[C_55] M. Mao, C. Zhu, Y. Liu, Y. Lin, J. Zheng, “Commutative Mode-Dependent Transform for Video Intra Coding,” IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB), Valencia, Spain, June 2018.
[C_56] S. Song, Y. Lin, H. Guo, C. Zhu, J. Zheng, Y. Gao, “Improved Template-Matching-based FRUC Method in Inter-Frame Video Coding,” IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB), Valencia, Spain, June 2018. Best Student Paper Award
2017
[C_57] X. Cao, C. Zhu, M. Yang, Y. Lin, J. Zheng, “A New Intra Prediction Method Based on Consistent Luminance Changes,” Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC), Kuala Lumpur, Malaysia, Dec. 2017.
[C_58] C. Zhang, C. Zhu, Y. Liu, H. Wen, Z. Wang, “Image ordinal estimation: classification and regression benefit each other,” Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC), Kuala Lumpur, Malaysia, Dec. 2017.
[C_59] C. Duan, Y. Shen, Y. Zhang, S. Wang, C. Zhu, M. Yang, “Enhancing Wedgelet-based Depth Modeling in 3D-HEVC,” Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC), Kuala Lumpur, Malaysia, Dec. 2017.
[C_60] H. Guo, C. Zhu, Y. Gao, S. Song, “A Frame-Level Rate Control Scheme for Low Delay Video Coding in HEVC,” IEEE International Workshop on Multimedia Signal Processing (MMSP), London-Luton, UK, Oct. 2017.
[C_61] X. Lin, C. Zhu, Q. Zhang, Y. Liu, M. Wang, “Learning Based 3D Keypoint Detection with Local and Global Attributes in Multi-Scale Space,” IEEE International Workshop on Multimedia Signal Processing (MMSP), London-Luton, UK, Oct. 2017.
[C_62] Y. Liu, C. Zhu, M. Mao, F. Song, F. Dufaux, X. Zhang, “Analytical Distortion Aware Video Coding for Computer Based Video Analysis,” IEEE International Workshop on Multimedia Signal Processing (MMSP), London-Luton, UK, Oct. 2017.
[C_63] X. Lin, C. Zhu, Q. Zhang, Y. Liu, “Robust Corner Detector Using Altitude to Chord Ratio Accumulation,” China National Conference on Multimedia (CNCM), Nanjing, China, Sept. 2017.
[C_64] Y. Zhou, H. Wang, L. Tian, C. Zhu, “Temporal Corelation based Hierarchical Quantization Parameter Determination for HEVC Video Coding,” IEEE International Conference on Image Processing (ICIP), Beijing, China, Sept. 2017.
[C_65] Z. Wang, C. Zhu, Z. Xia, Q. Guo, Y. Liu, “Towards Thinner Convolutional Neural Networks Through Gradually Global Pruning,” IEEE International Conference on Image Processing (ICIP), Beijing, China, Sept. 2017.
[C_66] Q. Guo, C. Zhu, Z. Xia, Z. Wang, Y. Liu, “Attribute-controlled Face Photo Synthesis from Simple Line Drawing,” IEEE International Conference on Image Processing (ICIP), Beijing, China, Sept. 2017.
[C_67] H. Liu, C. Zhu, “Status-Aware Projection Metric Learning for Kinship Verification,” IEEE International Conference on Multimedia and Expo (ICME), Hong Kong, July 2017.
[C_68] X. Li, M. Ye, Y. Liu, C. Zhu, “Memory-based Pedestrian Detection Through Sequence Learning,” IEEE International Conference on Multimedia and Expo (ICME), Hong Kong, July 2017. Best Student Paper Award
[C_69] F. Song, C. Zhu, Y. Liu, Y. Zhou, Y. Liu, “A New GOP Level Bit Allocation Method for HEVC Rate Control,” IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB), Cagliari, Italy, June 2017.
[C_70] L. Chen, Y. Liu, C. Zhu, “Iterative Block Tensor Singular Value Thresholding for Extraction of Low Rank Component of Image Data,” IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), New Orleans, USA, Mar. 2017.
2016
[C_71] Y. Gao, C. Zhu, S. Li, T. Yang, “Layer-Based Temporal Dependent Rate-Distortion Optimization in Random-Access Hierarchical Video Coding,” IEEE International Workshop on Multimedia Signal Processing (MMSP), Montreal, Canada, Sept. 2016.
[C_72] X. Lin, C. Zhu, Q. Zhang, Y. Liu, “3D Interest Point Detection Based on Geometric Measures and Sparse Refinement,” IEEE International Workshop on Multimedia Signal Processing (MMSP), Montreal, Canada, Sept. 2016.
[C_73] L. Xu, C. Zhu, Y. Zhou, Y. Wang, Y. Gao, “Introducing GOP-Level Quantization Parameter Offset in High Efficiency Video Coding” IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB), Nara, Japan, June 2016.
[C_74] Y. Gao, C. Zhu, S. Li, “Hierarchical Temporal Dependent Rate-Distortion Optimization for Low-Delay Coding,” IEEE International Symposium on Circuits and Systems (ISCAS), Montreal, Canada, May 2016.
1993 - 2015(Selected)
[C_75] J. Song, X. Wang, Y. Wang, C. Zhu, “Down-/Up-Sampling Based Depth Coding by Utilizing Interview Correlation,” IEEE International Workshop on Multimedia Signal Processing (MMSP), Xiamen, China, Oct. 2015.
[C_76] S. Ma, Y. Wang, C. Zhu, Y.B. Lin, J.H. Zheng, “Reducing Wedgelet Lookup Table Size with Down-Sampling for Depth Map Coding in 3D-HEVC,” IEEE International Workshop on Multimedia Signal Processing (MMSP), Xiamen, China, Oct. 2015.
[C_77] Y. Zhang, C. Zhu, Y. Lin, J. Zheng, and Y. Wang, “An Efficient Partition Scheme for Depth-based Block Partitioning in 3D-HEVC,” 16th Pacific-Rim Conference on Multimedia (PCM), Gwangju, Korea Sept. 2015.
[C_78] L. Yu, J. Xiao, T. Tillo, C. Zhu, “Statistical Approach For Motion Estimation Skipping (SAMEK),” IEEE International Conference on Image Processing (ICIP), Quebec, Canada, Sept. 2015.
[C_79] J. Bai, C. Chang, C. Zhu, “A Reversible Data hiding Scheme Using Ordered Cluster-based VQ Index Tables for Complex Images,” Proceedings of the 8th International Conference on Image and Graphics (ICIG), Tianjin, China, Aug. 2015
[C_80] X. Zhang, C. Zhu, “Camouflage modeling for moving object detection,” IEEE China Summit & International Conference on Signal and Information Processing (ChinaSIP), Chengdu, China, July 2015.
[C_81] Y. Zhang, C. Zhu, Y. Lin, J. Zheng, X. Wang, “Simplified Reference Pixel Selection For Constant Partition Value Coding In 3D-HEVC,” IEEE China Summit & International Conference on Signal and Information Processing (ChinaSIP), Chengdu, China, July 2015.
[C_82] S. Li, C. Zhu, Y. Gao, Y. Zhou, F. Dufaux, M. Sun, “Inter-frame Dependent Rate-Distortion Optimization Using Lagrangian Multiplier Adaption,” IEEE International Conference on Multimedia and Expo (ICME), Torino, Italy, June 2015.
[C_83] X. Wang, C. Zhu, S. Li, J. Xiao and T. Tillo, “Depth filter design by jointly utilizing spatial-temporal depth and texture information,” IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB), Ghent, Belgium, June 2015.
[C_84] M. Yang, C. Zhu, X. Lan, and N. Zheng, “Parameter-Free View Synthesis Distortion Model with Application to Depth Video Coding,” IEEE International Symposium on Circuits and Systems (ISCAS), Lisbon, Portugal, May 2015.
[C_85] X. Wang, C. Zhu, J. H. Zheng, Y. B. Lin, Y. H. Zhang, “3D-Spatial-Texture Bilateral Filter for Depth-based 3D Video,” Pacific-Rim Conference on Multimedia (PCM), Kuching, Malaysia, Dec. 2014.
[C_86] S. Ma, Y. Lin, C. Zhu, J. Zheng, L. Yu, X. Wang, “Improved Segment-wise DC Coding for HEVC Intra Prediction of Depth Maps,” Asia-Pacific Signal and Information Processing Association (APSIPA) Annual Summit and Conference (ASC), Chiang Mai, Thailand, Dec. 2014.
[C_87] W. Hong, Y. Zhao, L. Yu, C. Zhu, “Detection Model of Luster Effect in Binocular Rivalry,” International Conference on Digital Signal Processing (DSP), Hong Kong, Aug. 2014.
[C_88] C. Zhu, S. Li, “Multiple Reference Views for Hole Reduction in DIBR View Synthesis,” IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB), Beijing, China, June 2014. Best Paper Award
[C_89] C. Zhu, S. Li, “A New Perspective on Hole Generation and Filling in DIBR based View Synthesis,” International Conference on Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP), Beijing, China, Oct. 2013. Best Paper Award
[C_90] S. Li, C. Zhu, J. Lei, “Depth-Texture Cooperative Clustering and Alignment for High Efficiency Depth Intra Coding,” IEEE China Summit & International Conference on Signal and Information Processing (ChinaSIP), Beijing, China, July 2013.
[C_91] L. Dong, W. Lin, C. Deng, C. Zhu, H.S. Seah, “To exploit uncertainty masking for adaptive image rendering,” IEEE International Symposium on Circuits and Systems (ISCAS), Beijing, China, May 2013.
[C_92] T. Yang, C. Zhu, X. Fan, Q. Peng, “Source Distortion Temporal Propagation Model for Motion Compensated Video Coding Optimization,” IEEE International Conference on Multimedia and Expo (ICME), Melbourne, Australia, July 2012.
[C_93] Y. Zhang, C. Zhu, “Multiple Description Wyner-Ziv Video Coding Based on Decoder Multi-Resolution Motion Refinement,” IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB), Seoul, Korea, June 2012.
[C_94] Z. Hung, C. Zhu, G. Yang, Y. Tan, “Video Organization: Near-Duplicate Video Clustering” IEEE International Symposium on Circuits and Systems (ISCAS), Seoul, Korea, May 2012.
[C_95] L. Qin, C. Zhu, Y. Zhao, H. Bai, “Component-Normalized Generalized Gradient Vector Flow for Snakes,” Pacific-Rim Conference on Multimedia (PCM), Sydney, Australia, Dec. 2011.
[C_96] Z. Li, K. Yap and C. Zhu, “A Soft Relevance Method for Content-based Scene Categorization in the BoW Framework,” International Conference on Information, Communications and Signal Processing (ICICS), Singapore, Dec. 2011.
[C_97] Y. Xu, and C. Zhu, “Multiple Description Coded Video Streaming with Multipath Transport in Wireless Ad Hoc Networks,” International ICST Conference on Mobile Multimedia Communications (MobiMedia), Cagliari, Italy, Sept. 2011. Student Paper Award
[C_98] L. Dong, W. Lin, C. Zhu, H. S. Seah, “Selective Rendering with Graphical Saliency Model,” IEEE IVMSP (Image, Video, and Multidimensional Signal Processing Technical Committee) Workshop: Perception and Visual Signal Analysis, Ithaca, New York, USA, June 2011.
[C_99] L. Dong, W. Lin, C. Zhu, H. S. Seah, “Joint Visual Attention and Rendering Complexity based Sample Rate Estimation in Selective Rendering,” IEEE International Symposium on Consumer Electronics (ISCE), Singapore, June 2011.
[C_100] Y. Zhang, C. Zhu, “Quantizer Design for Correlation Noise in Distributed Video Coding,” IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB), Nuremberg, Germany, June 2011.
[C_101] Y. Zhao, Z. Chen, D. Tian, C. Zhu, L. Yu, “Suppressing Texture-Depth Misalignment for Boundary Noise Removal in View Synthesis,” Picture Coding Symposium (PCS), Nagoya, Japan, Dec. 2010.
[C_102] Z. Li, C. Zhu, “Motion Codevector Based Search for Fast Motion Estimation,” International Conference on Communications, Circuits and Systems (ICCCAS), Chengdu, China, July 2010.
[C_103] Y. Xu, C. Zhu, “Joint Multiple Description Coding and Network Coding for Wireless Image Multicast,” International Conference on Image and Graphics (ICIG), Xi’an, China, Sept. 2009.
[C_104] Q. Zhang, Q. Peng, J.X. Chen, C. Zhu, “Video Transmission Channel Distortion Estimation Model for H.264/AVC Based on Channel Simulation,” International Conference on Multimedia and Ubiquitous Engineering (ICMUE), Qingdao, China, June 2009.
[C_105] H. Bai, Y. Zhao, C. Zhu, “Priority Encoding Transmission Based Multiple Description Video Coding over Packet Loss Network,” IEEE Data Compression Conference (DCC), Snowbird, UT, USA, Mar. 2008.
[C_106] D. Fernandes, C. Zhu, “Overlapped Block Motion Compensation Using Modified Sigmoid Window,” International Conference on Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP), Kaoshiung, Taiwan, Nov. 2007.
[C_107] Y. Zhang, C. Zhu, “Full Search of Side-Information in Distributed Video Coding,” International Conference on Image and Graphics (ICIG), Chengdu, China, Aug. 2007.
[C_108] M. Liu, C. Zhu, “Multiple Description Video Coding Using Hierarchical B Pictures,” IEEE International Conference on Multimedia and Expo (ICME), Beijing, China, July 2007.
[C_109] H. Bai, Y. Zhao, C. Zhu, “Multiple Description Video Coding Using Adaptive Temporal Sub-sampling,” IEEE International Conference on Multimedia and Expo (ICME), Beijing, China, July 2007.
[C_110] H. Bai, Y. Zhao, C. Zhu, “Multiple Description Shifted Lattice Vector Quantization for Progressive Wavelet Image Coding,” International Conference on Image Processing (ICIP), Atlanta, USA, Oct. 2006.
[C_111] Y. Zhang, C. Zhu, “Distributed Video Coding Based On Adaptive Binning,” IEEE International Symposium on Circuits and Systems (ISCAS), Kos, Greece, May 2006.
[C_112] M. Liu, C. Zhu, X. Wu, “Index assignment Design for Three-Description Lattice Vector Quantization,” IEEE International Symposium on Circuits and Systems (ISCAS), Kos, Greece, May 2006.
[C_113] H. Bai, Y. Zhao, C. Zhu, “Optimized Multiple Description Image Coding Using Lattice Vector Quantization,” IEEE International Symposium on Circuits and Systems (ISCAS), Kobe, Japan, May 2005.
[C_114] L. Zhang, A. Makur, C. Zhu, “Design of 2-channel linear phase filter bank: A lifting approach,” IEEE International Symposium on Circuits and Systems (ISCAS), Kobe, Japan, May 2005.
[C_115] F. Pan, X. Lin, S. Rahardja, K. Lim, Z.G. Li, D. Wu, S. Wu, C. Zhu, W. Ye, Z. Liang, “Fast Intra Mode Decision Algorithm for H.264/AVC Video Coding,” International Conference on Image Processing (ICIP), Singapore, Oct. 2004.
[C_116] C. Zhu, Y. Gao, L.P. Chau, “Reducing Drift for FGS Coding Based on Multiframe Motion Compensation,” IEEE International conference on Acoustics, Speech & Signal Processing (ICASSP), Montreal, Canada, May 2004.
[C_117] C. Zhu, W. Qi, W. Ser, “A New Successive Elimination Algorithm For Fast Block Matching In Motion Estimation,” IEEE International Symposium on Circuits and Systems (ISCAS), Vancouver, Canada, May 2004.
[C_118] C. Zhu, X. Lin, L.P. Chau, “An Enhanced Hexagonal Search Algorithm for Block Motion Estimation,” IEEE International Symposium on Circuits and Systems (ISCAS), Bangkok, Thailand, May 2003.
[C_119] X.K. Yang, C. Zhu, Z.G. Li, X. Lin, N. Ling, “Unequal Packet Loss Resilience For MPEG-4 Video Over The Internet,” IEEE International Symposium on Circuits and Systems (ISCAS), Bangkok, Thailand, May 2003.
[C_120] X. Jing, C. Zhu, L.P. Chau, “Smooth Constrained Block Matching Criterion For Motion Estimation,” IEEE International conference on Acoustics, Speech & Signal Processing (ICASSP), Hong Kong, April 2003.
[C_121] X. Yang, N. Ling, C. Zhu, Z. Li, “An MPEG-4 FGS-Based Statistical Multiplexer,” Third International Workshop on Digital and Computational Video (DCV), Nov. 2002
[C_122] Z.G Li, C. Zhu, F. Pan, X.K. Yang, G. Feng, S. Wu, N. Ling, “A router based unequal error control scheme for video over the Internet,” International Conference on Image Processing (ICIP), USA, Sept. 2002.
[C_123] X. Yang, C. Zhu, Z.G. Li, G. Feng, S. Wu, N. Ling, “Unequal Error Protection for Motion Compensated Video Streaming over the Internet,” International Conference on Image Processing (ICIP), USA, Sept. 2002.
[C_124] X.K. Yang, C. Zhu, Z.G. Li, G. Feng, S. Wu, N. Ling, “A Degressive Error Protection Algorithm for MPEG-4 FGS Video Streaming,” International Conference on Image Processing (ICIP), New York, USA, Sept. 2002.
[C_125] Z.G. Li, N. Ling, C. Zhu, X.K. Yang, G. Feng, S. Wu, F. Pan, “Adaptive unequal error control for video over the Internet,” IEEE International Conference on Multimedia and Expo (ICME), Lausanne, Switzerland, Aug. 2002.
[C_126] D. Wu, K.P. Lim, R. Yu, F. Pan, C. Zhu, “Wireless Video Communication on Embedded System,” International Conference on Signal Processing (ICSP), Beijing, China, Aug. 2002.
[C_127] Z.G. Li, C. Zhu, F. Pan, G. Feng, X. Yang, S. Wu, N. Ling, “A Novel Joint Rate Control Scheme for the Coding of Multiple Real Time Video Programs,” International Conference on Distributed Computing Systems Workshops (ICDCS), Austria, July 2002.
[C_128] Z.G. Li, N. Ling, C. Zhu, X.K. Yang, G. Feng, S. Wu, F. Pan, “Packetization algorithms for MPEG-4 fine granularity scalability over the Internet,” Workshop and Exhibition on MPEG-4, USA, June 2002.
[C_129] C. Zhu, X. Lin, L.-P. Chau, “An Optimized Diamond Search Algorithm for Block Motion Estimation,” IEEE International Symposium on Circuits and Systems (ISCAS), Arizona, USA, May 2002.
[C_130] Z.G. Li, X. Lin, C. Zhu, F. Pan, “A Novel Rate Control Scheme for Video over the Internet,” IEEE International conference on Acoustics, Speech & Signal Processing (ICASSP), Orlando, USA, May 2002.
[C_131] Z.G. Li, C. Zhu, X.K. Yang, G. Feng and S. Wu, “An architecture for real time fine granularity scalability scheme,” Invited Paper for The 3rd International Conference on Information, Communications & Signal Processing (ICICSP), Singapore, Oct. 2001.
[C_132] C. Zhu, X. Lin, L.P. Chau, K.P. Lim, H. Ang, C.Y. Ong, “A novel hexagon-based search algorithm for fast block motion estimation,” IEEE International conference on Acoustics, Speech & Signal Processing (ICASSP), Salt Lake City, Utah, USA, May 2001.
[C_133] S. Yao, C. Zhu, “Design of Signal-Adapted Wavelet Filter Bank Using Evolutionary Programming,” International Conference on Image and Graphics (ICIG), Tianjin, China, Aug. 2000.
[C_134] C. Zhu, “A Comparative Study on Partial Distortion Based Competitive Learning Algorithms for Optimal Codebook Design,” International Conference on Signal Processing Applications & Technology (ICSPAT), Orlando, USA, Nov. 1999.
[C_135] C. Zhu, Y. Hua, “Vector Quantization with Minimax Distortion for Image Coding,” IEEE International Conference on Image Processing (ICIP), Kobe, Japan, Oct. 1999.
[C_136] C. Zhu, Y. Hua, “Optimized feature map finite state vector quantization for image coding,” Second Australian Workshop on Signal Processing Applications, Brisbane, Australia, Dec. 1997.
[C_137] C. Zhu, L. Xu, “A comparison of several vector quantization algorithms for image coding,” International Conference on Neural Networks and Signal Processing (ICNNSP), Nanjing, Dec. 1995.
[C_138] C. Zhu, L. Xu, “Gaussian mixture and the EM algorithm for vector quantization of images,” International Conference on Neural Information Processing (ICONIP), Beijing, Nov. 1995.
[C_139] C. Zhu, J. Wang, T. Wang, “Analysis of Learning Vector Quantization algorithms for pattern classification,” IEEE International conference on Acoustics, Speech & Signal Processing (ICASSP), USA, May 1995.
[C_140] J. Wang, C. Zhu, C. Wu, Z.Y. He, “Neural network approaches to fast and low rate vector quantization,” International Symposium on Circuit and System (ISCAS), Seattle, Washington, USA, April 1995.
[C_141] C. Zhu, L.H. Li, Z.Y. He, J. Wang, “A new competitive learning algorithm for vector quantization,” IEEE International conference on Acoustics, Speech and Signal Processing (ICASSP), Australia, April 1994.
[C_142] C. Guan, C. Zhu, Y. Chen, Z.Y. He, “Performance comparison of several speech recognition methods,” International Symposium on Speech, Image Processing & Neural Networks (ISSIPNN), Hong Kong, April 1994.
[C_143] Z. He, C. Wu, J. Wang, C. Zhu, “A new vector quantization algorithm based on simulated annealing,” International Symposium on Speech, Image Processing & Neural Networks (ISSIPNN), Hong Kong, April 1994.
[C_144] C. Zhu, J. Wang, L.H. Li, Z.Y. He, “A new neural network-based algorithm for vector quantization,” International Conference on Signal Processing Applications & Technology (ICSPAT), Santa Clara, USA, Sept. 1993.