RECENT

  • F. Fan, Y. Zhao*, Y. Chen, N. Li, W. Jia, R. Wang, Local Texture Pattern Estimation for Image Detail Super-Resolution, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2025.

  • J. Jin, C. Zhao, R. Zhang, S. Shang, J. Xu, J. Zhang, S. Wang, Y. Zhao, S. Ding, W. Jia, Y. Wu, Diff-Palm: Realistic Palmprint Generation with Polynomial Creases and Intra-Class Variation Controllable Diffusion Models, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2025.

  • P. Zhao, J. Zhou, Y. Zhao, D. Guo, Y. Chen, Multimodal Class-aware Semantic Enhancement Network for Audio-Visual Video Parsing, AAAI Conference on Artificial Intelligence (AAAI), 2025.

  • S. Shang, C. Zhao, R. Zhang, J. Jin, J. Zhang, R. Guo, S. Ding, Y. Wu, Y. Zhao, W. Jia, PVTree: Realistic and Controllable Palm Vein Generation for Recognition Tasks, AAAI Conference on Artificial Intelligence (AAAI), 2025.

  • X. Yang, X. Chen, Y. Chen*, Y. Zhao, No-Reference Quality Assessment for Cartoon-Like Videos, IEEE International Conference on Multimedia and Expo (ICME), 2025.

  • S. Diao, Y. Zhao*, Y. Chen, W. Jia, R. Wang, Lightweight Multiplane Images Network for Real-Time Stereoscopic Conversion from Planar Video, IEEE International Conference on Multimedia and Expo (ICME), 2025.

  • Y. Zhao, H. Li, Z. Zhang, Y. Chen, Q. Liu, X. Zhang, Regional Traditional Painting Generation Based on Hierarchical and Controllable Disentanglement Model, IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), vol. 34, no. 8, pp.6913-6925, 2024.

  • P. Duan, Y. Zhao*, Y. Chen, W. Jia, Z. Zhang, R. Wang, Blind Video Bit-Depth Expansion, ACM International Conference on Multimedia (ACM MM), 2024, pp. 1-9.

  • S. Diao, Y. Zhao*, Y. Chen, W. Jia, Z. Zhang, R. Wang, Stereo Vision Conversion from Planar Videos Based on Temporal Multiplane Images, AAAI Conference on Artificial Intelligence (AAAI), 2024, pp.1519-1527.

  • J. Jin, L. Shen, R. Zhang, C. Zhao, G. Jin, J. Zhang,S. Ding, Y. Zhao*, W. Jia*, PCE-Palm: Palm Crease Energy based Two-stage Realistic Pseudo-palmprint Generation, AAAI Conference on Artificial Intelligence (AAAI), 2024.

  • Y. Ye, N. Zhang, Y. Zhao, H. Cao, R. Wang, “Deep Video Inverse Tone Mapping Based on Temporal Clues”, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024.

  • J. Wang, Y. Wei, Z. Zhang*, J. Fan, Y. Zhao*, Y. Yang, M. Wang, Progressive Stereo Image Dehazing Network via Cross-view Region Interaction, IEEE Transactions on Multimedia (TMM), vol. 26, pp. 7490-7502, 2024.

  • X. Liu, Y. Zhao*, K. Chi, Z. Zhang, Y. Chen, W. Jia, Toward Individual Tone Preference in Underwater Image Enhancement, IEEE Transactions on Geoscience and Remote Sensing (TGRS), vol. 62, pp. 1-11, 2024.

  • P. Pan, Y. Zhao*, Y. Chen, W. Jia, Z. Zhang, R. Wang, Cross-view Resolution and Frame Rate Joint Enhancement for Binocular Video, ACM International Conference on Multimedia (ACM MM), 2023.

  • S. Guo, Z. Chen, Y. Zhao, N. Zhang, X. Li, L. Duan, Toward Scalable Image Feature Compression: A Content-Adaptive and Diffusion-Based Approach, ACM International Conference on Multimedia (ACM MM), 2023.

  • B. Li, H. Zheng, Z. Zhang*, Y. Zhao*, Z. Zhao, H. Zhang, Dynamic Grouped Interaction Network for Low-Light Stereo Image Enhancement, ACM International Conference on Multimedia (ACM MM), 2023, pp. 2468-2476.

  • L. Shen, J. Jin, R. Zhang, H. Li, Y. Zhang, J. Zhang, S. Ding, Y. Zhao*, W. Jia, RPG-Palm: Realistic Pseudo-data Generation for Palmprint Recognition, International Conference on Computer Vision (ICCV), 2023.

  • N. Zhang, Y. Ye, Y. Zhao, R. Wang, Revisiting the Stack-Based Inverse Tone Mapping, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023.

  • H. Min, Y. Zhang, Y. Zhao*, W. Jia, Y. Lei, C. Fan, Hybrid Feature Enhancement Network for Few-Shot Semantic Segmentation, Pattern Recognition (PR), 2023.

  • Y. Zhao, W. Jia, Y. Chen, R. Wang, Fast Blind Decontouring Network, IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), vol.33, no.2, pp.478-490, 2023.

  • Y. Zhao, Y. Ma, Y. Chen, W. Jia, R. Wang, X. Liu, Multi-frame Joint Enhancement for Early Interlaced Videos, IEEE Transactions on Image Processing (TIP), vol.31, pp.6282-6294, 2022. (Ranked 1st in the MSU Deinterlacer Benchmark)

  • Y. Zhao, W. Jia, R. Wang, Rethinking Deinterlacing for Early Interlaced Videos, IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), vol.32, no. 7, pp.4872-4878, 2022.

  • Y. Zhao, D. Ren, Y. Chen, W. Jia, R. Wang, X. Liu, Cartoon Image Processing: A Survey, International Journal of Computer Vision (IJCV), vol.130, pp.2733-2769, 2022.

  • Y. Chen, P. Zhao, M. Qi, Y. Zhao*, W. Jia, R. Wang, Audio Matters in Video Super-Resolution by Implicit Semantic Guidance, IEEE Transactions on Multimedia (TMM), vol.24, pp. 4128-4142, 2022.

  • N. Zhang, Y. Zhao, C. Wang, R. Wang, A Real-Time Semi-Supervised Deep Tone Mapping Network, IEEE Transactions on Multimedia (TMM), vol. 24, pp. 2815-2827, 2022.

  • D. Hou, Y. Du, K. Zhao, Y. Zhao*, Learning an Efficient Multimodal Depth Completion Model, European Conference on Computer Vision (ECCV) workshop, 2022. (Invited Paper, Champion in the MIPI2022 depth completion challenge)

  • N. Zhang, Y. Ye, Y. Zhao, R. Wang, Fast and Flexible Deep Stack-based Inverse Tone Mapping, CAAI Transactions on Intelligence Technology, 2022.

  • Y. Zhao, R. Wang, Y. Chen, W. Jia, X. Liu, W. Gao, Lighter but Efficient Bit-Depth Expansion Network, IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), vol. 31, no. 5, pp. 2063-2069, 2021.

  • Y. Chen, Y. Zhao, L. Cao, W. Jia, X. Liu, Learning Deep Blind Quality Assessment for Cartoon Images, IEEE Transactions on Neural Networks and Learning Systems (TNNLS), vol.34, no.9, pp.6650-6655, 2023.

  • W. Jia, W. Xia, B. Zhang, Y. Zhao, L. Fei, W. Kang, A Survey on Dorsal Hand Vein Biometrics, Pattern Recognition (PR), vol. 120, pp.108-122, 2021.

  • H. Zhu, Y. Zhao, R. Wang, LLISP: Low-Light Image Signal Processing Net via Two-Stage Network, IEEE Access, vol. 9, pp.16736-16745, 2021.

  • W. Jia, Q. Ren, Y. Zhao, S. Li, H. Min, Y. Chen, EEPNet: An efficient and effective convolutional neural network for palmprint recognition, Pattern Recognit. Lett., vol. 159, pp. 140-149, 2022.

  • W. Jia, W. Xia, Y. Zhao, H. Min, Y. Chen, 2D and 3D Palmprint and Palm Vein Recognition Based on Neural Architecture Search, Int. J. Autom. Comput., vol. 18, no. 3, pp.377-409, 2021.

  • W. Jia, J. Gao, W. Xia, Y. Zhao, H. Min, J. Lu, A Performance Evaluation of Classic Convolutional Neural Networks for 2D and 3D Palmprint and Palm Vein Recognition, Int. J. Autom. Comput., vol. 18, no. 1, pp.18-44, 2021.

PAST

  • Y. Chen, Y. Zhao, W. Jia, L. Cao, X. Liu, Adversarial-Learning-Based Image-to-Image Transformation A Survey, Neurocomputing, vol. 411, pp.468-486, 2020.

  • Y. Zhao, R. Wang, W. Jia, W. Zuo, X. Liu, W. Gao, Deep Reconstruction of Least Significant Bits for Bit-Depth Expansion, IEEE Transactions on Image Processing (TIP), vol. 28, no. 6, pp. 2847-2859, 2019.

  • Y. Chen, Y. Zhao, S. Li, W. Zuo, W. Jia, X. Liu, Blind Quality Assessment for Cartoon Images, IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), Accept, 2019.

  • W. Jia, Y. Zhao*, R. Wang, S. Li, H. Min, X. Liu, Are Recent SISR Techniques Suitable for IndustrialApplications at Low Magnification, IEEE Transactions on Industrial Electronics (TIE), vol.66, no. 12, pp.9828-9836, 2019.

  • H. Zhang, R. Wang, Y. Zhao, Multi-frame Pyramid Refinement Network for Video Frame Interpolation, IEEE Access, vol.7, pp.130610-130621, 2019.

  • Y. Zhao, R. Wang, W. Jia, J. Yang, W. Wang , W. Gao, Local patch encoding-based method for single image super-resolution, Information Sciences (INS), vol.433, pp.292-305, 2018.

  • H. Min, W. Jia, Y. Zhao, W. Zuo, H. Ling, Y. Luo, LATE A Level Set Method Based on Local Approximation of Taylor Expansion for Segmenting Intensity Inhomogeneous Images, IEEE Transactions on Image Processing (TIP), vol.27, no.10, pp.5016-5031, 2018.

  • H. Min, W. Jia, X. Wang, Y. Zhao, Y. Luo, A polynomial piecewise constant approximation method based on dual constraint relaxation for segmenting images with intensity inhomogeneity, Pattern Recognition (PR), vol. 73, pp. 15-32, 2018.

  • H. Min, J. Lu, W. Jia, Y. Zhao, Y. Luo, An effective local regional model based on salient fitting for image segmentation, Neurocomputing, vol.311, pp.245-259, 2018.

  • Y. Zhao, R. Wang, W. Jia, W. Wang, W. Gao, Iterative projection reconstruction for fast and efficient image upsampling, Neurocomputing，vol.226, pp.200-211, 2017.

  • W. Jia, Zhang, J. Lu, Y. Zhu, Y. Zhao, Based on Complete Direction Representation, IEEE Transactions on Image Processing (TIP), vol.26, pp. 4483-4498, 2017.

  • Y. Zhao, R. Wang, W. Wang, W. Gao, Multilevel modified finite radon transform network for image upsampling, IEEE Transactions on Circuits and System for Video Technology (TCSVT), vol. 26, no.12, pp. 2189-2199, 2016.

  • Y. Zhao, R. Wang, W. Wang, W. Gao, High resolution local structure constrained image upsampling, IEEE Transactions on Image Processing (TIP), vol.24, no.11, pp.4394-4407, Nov. 2015.

  • H. Min, W. Jia, X. Wang, R. Hu, Y. Zhao, et al., An Intensity Texture model based level set method for image segmentation, Pattern Recognition (PR), vol. 48, pp. 1547-1562, 2015.

  • W. Jia, R. Hu, Y. Lei, Y. Zhao, J. Gui, Histogram of oriented lines for palmprint recognition, IEEE Transactions on Systems, Man, and Cybernetics Systems (TSMC), vol.44, no.3, pp. 385-395, 2014.

  • Y. Zhao, W. Jia, R. Hu, H. Min, Completed robust local binary pattern for texture classification, Neurocomputing, vol. 106, no.15, pp. 68-76, 2013.

  • Y. Zhao, D. Huang, W. Jia, Completed local binary count for rotation invariant texture classification, IEEE Transaction on Image Processing (TIP), vol.21, pp. 4492-4497, 2012.

  • X. Liu, S. Lin, K. Chi, Z. Tao, Y. Zhao, Boths: Super Lightweight Network-Enabled Underwater Image Enhancement, IEEE Geoscience and Remote Sensing Letters, vol. 20, pp. 1-5, 2023.

  • C. Ding, Z. Zhao, Y. Zhao, PsSR: Hybrid Path Selection Mechanism for Efficient Image Super-Resolution, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2025.

  • Y. Wei, Z. Zhang, Z. Zhao, Y. Zhao, R. Hong, Y. Yang, M. Wang, High-Fidelity Stereoscopic Image Rain Removal with Texture Integrity and Disparity Consistency, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2025.

  • W. Jia, Z. Zhang, Y. Zhao, H. Min, S. Li, Biometrics 2.0 for the Security of Smart Cities, Machine Intelligence Research, vol.21, no. 6, pp. 1121-1144, 2024.

  • N. Li, K. Huang, Q. Wu, Y. Zhao, Integrating pseudo labeling with contrastive clustering for transformer-based semi-supervised action recognition, Applied Intelligence, vol. 54. No. 22, pp. 11177-11195, 2024.

  • Z. Ji, H. Zheng, Z. Zhang, Q. Ye, Y. Zhao, M. Xu, Multi-Scale Interaction Network for Low-Light Stereo Image Enhancement, IEEE Transactions on Consumer Electronics, vol. 70, no. 1, pp. 3626-3634, 2023.

  • R. Hu, W. Jia, Y. Zhao, J. Gui, Perceptually motivated morphological strategies for shape retrieval, Pattern Recognition (PR), vol. 45, pp. 3222-3230, 2012.

  • H. Zhang, Y. Zhao, R. Wang, A Flexible Recurrent Residual Pyramid Network for Video Frame Interpolation, European Conference on Computer Vision (ECCV), 2020.

  • X. Liu, Y. Zhao, Y. Chen, W. Jia, R. Wang, X. Liu, Estimated Exposure Guided Reconstruction Model for Low-Light Image Enhancement, Chinese Conference on Pattern Recognition and Computer Vision, 2020.

  • N. Zhang, R. Wang, Y. Zhao, Deep tone mapping network in HSV color space, VCIP, 2019.

  • Y. Zhou, R. Wang, Y. Zhao, A night-time outdoor data set for low-light enhancement, VCIP, pp.507-510, 2020.

  • …

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