Conferences
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[1] Yulin Ren, Xin Li, Bingchen Li, Xingrui Wang, Mengxi Guo, Shijie Zhao, Li Zhang, Zhibo Chen， “MoE-DiffIR: Task-customized Diffusion Priors for Universal Compressed Image Restoration”，ECCV，2024
[2] Xin Li, Bingchen Li, Yeying Jin, Cuiling Lan, Hanxin Zhu, Yulin Ren, Zhibo Chen， “UCIP: A Universal Framework for Compressed Image Super-Resolution using Dynamic Prompt”，ECCV，2024
[3] Jinming Liu, Ruoyu Feng, Yunpeng Qi, Qiuyu Chen, Zhibo Chen，Wenjun Zeng, Xin Jin, “Rate-Distortion-Cognition Controllable Versatile Neural Image Compression”，ECCV，2024
[4] Henan Wang, Hanxin Zhu, Tianyu He, Runsen Feng, Jiajun Deng, Jiang Bian, Zhibo Chen， “End-to-End Rate-Distortion Optimized 3D Gaussian Representation”，ECCV，2024 [Paper]
[5] Bingchen Li, Xin Li, Hanxin Zhu, YEYING JIN, Ruoyu Feng, Zhizheng Zhang, Zhibo Chen， “SeD: Semantic-Aware Discriminator for Image Super-Resolution”，CVPR，2024 [Paper]
[6] Hanxin Zhu, Tianyu He, Xin Li, Bingchen Li, Zhibo Chen, "Is Vanilla MLP in Neural Radiance Field Enough for Few-shot View Synthesis?", CVPR, 2024 [Paper]
[7] Yiting Lu, Xin Li, Yajing Pei, Kun Yuan, Qizhi Xie, Yunpeng Qu, Ming Sun, Chao Zhou, Zhibo Chen， “KVQ: Kaleidoscope Video Quality Assessment for Short-form Videos”，CVPR, 2024 [Paper]
[8] Ruoyu Feng, Wenming Weng, Yanhui Wang, Yuhui Yuan, Jianmin Bao, Chong Luo, Zhibo Chen, Baining Guo, "CCEdit: Creative and Controllable Video Editing via Diffusion Models", CVPR, 2024 [Paper]
[9] Henan Wang， Xiaohan Pan， Zongyu Guo，Runsen Feng，Zhibo Chen, "Conditional Neural Video Coding with Spatial-Temporal Super-Resolution", Data Compression Conference 2024 [Paper]
[10] Zihao Yu, Fengbin Guan, Yiting Lu, Xin Li, Zhibo Chen, "Video Quality Assessment Based on Swin TransformerV2 and Coarse to Fine Strategy", Data Compression Conference 2024 [Paper]
[11] Hanxin Zhu, Tianyu He, Zhibo Chen, "CMC: Few-shot Novel View Synthesis via Cross-view Multiplane Consistency.", IEEE Virtual Reality, 2024. [Paper]
[12] Chen Hou, Guoqiang Wei, Zhibo Chen, “High-Fidelity Diffusion-based Image Editing”, AAAI 2024. [Paper]
2023
[1] Guangqi Xie, Xin Li, Xiaohan Pan, Zhibo Chen, "Diagnosis-oriented Medical Image Compression with Efficient Transfer Learning", IEEE VCIP 2023 (Best Paper Award) [Paper]
[2] Yunpeng Qi, Ruoyu Feng, Zhizheng Zhang, Zhibo Chen, "Image Coding for Machines based on Non-Uniform Importance Allocation", IEEE VCIP 2023
[3] Jinming Liu, Xin Jin, Ruoyu Feng, Zhibo Chen, Wenjun Zeng, "Composable Image Coding for Machine via Task-oriented Internal Adaptor and External Prior", IEEE VCIP 2023
[4] Xiqian Yu, Xin Li, Hanxin Zhu, Zhibo Chen, "Density-aware Swin Transformer for Compressed Point Cloud Geometry Artifacts Removal", IEEE VCIP 2023
[5] Zongyu Guo, Gergely Flamich, Jiajun He, Zhibo Chen, José Miguel Hernández-Lobato, "Compression with Bayesian Implicit Neural Representations", NeurIPS 2023 [Paper]
[6] Xin Li, Dongze Lian, Zhihe Lu, Jiawang Bai, Zhibo Chen, Xinchao Wang,"GraphAdapter: Tuning Vision-Language Models With Dual Knowledge Graph", NeurIPS 2023 [Paper]
[7] Ruoyu Feng, Yixin Gao, Xin Jin, Runsen Feng, Zhibo Chen, "Semantically Structured Image Compression via Irregular Group-Based Decoupling", ICCV 2023 [Paper]
[8] Xin Li, Bingchen Li, Xin Jin, Cuiling Lan, Zhibo Chen, “Learning Distortion Invariant Representation for Image Restoration from A Causality Perspective”, CVPR 2023 [Paper]
[9] Shiqi Lin, Zhizheng Zhang, Zhipeng Huang, Yan Lu, Cuiling Lan, Zicheng Liu, Amey Parulkar, Viraj Navkal, Zhibo Chen, Deep Frequency Filtering for Domain Generalization, CVPR 2023 [Paper]
[10] Tao Yu, Zhihe Lu, Xin Jin, Zhibo Chen, and Xinchao Wang. "Task Residual for Tuning Vision-Language Models." CVPR 2023. [Paper]
[11] Runsen Feng, Zongyu Guo, Weiping Li, Zhibo Chen. "NVTC: Nonlinear Vector Transform Coding", CVPR 2023. [Paper]
[12] Zongyu Guo, Cuiling Lan, Zhizheng Zhang, Yan Lu, Zhibo Chen. "Versatile Neural Processes for Learning Implicit Neural Representations." In 11th International Conference on Learning Representations (ICLR), 2023. [Paper]
[13] Shiqi Lin, Zhizheng Zhang, Xin Li, Zhibo Chen, “SelectAugment: Hierarchical Deterministic Sample Selection for Data Augmentation”, AAAI 2023. [Paper]
[14] Guoqiang Wei, Zhizheng Zhang, Cuiling Lan, Yan Lu, and Zhibo Chen. "Active Token Mixer." AAAI (2023). [Paper]
2022
[1] Tao Yu and Zhizheng Zhang and Cuiling Lan and Yan Lu and Zhibo Chen, Mask-based Latent Reconstruction for Reinforcement Learning, Advances in Neural Information Processing Systems, 2022. [Paper]
[2] Guangqi Xie, Xin Li, Shiqi Lin, Li Zhang, Kai Zhang, Yue Li, Zhibo Chen, "Hierarchical Reinforcement Learning Based Video Semantic Coding for Segmentation", 2022 International Conference on Visual Communications and Image Processing (VCIP), 2022. [Paper]
[3] Fan, Xiaoshuai, Xin Li, and Zhibo Chen. "Learned Lossless JPEG Transcoding via Joint Lossy and Residual Compression." 2022 International Conference on Visual Communications and Image Processing (VCIP), 2022. [Paper]
[4] Wang, H., Zhu, H., & Chen, Z., Light Field Compression Based on Implicit Neural Representation. In 2022 Picture Coding Symposium (PCS) (pp. 223-227), 2022. [Paper]
[5] Jin, Xin and He, Tianyu and Shen, Xu and Wu, Songhua and Liu, Tongliang and Ye, Jingwen and Wang, Xinchao and Huang, Jianqiang and Chen, Zhibo and Hua, Xian-Sheng, Unleashing the Potential of Adaptation Models via Go-getting Domain Labels, Proceedings of the European conference on computer vision (ECCV) workshops, 2022. [Paper]
[6] Li Bingchen, Li Xin, Lu Yiting, Liu Sen, Feng Ruoyu, Chen Zhibo Hst: Hierarchical swin transformer for compressed image super-resolution //Proceedings of the European conference on computer vision (ECCV) workshops. 2022. [Paper] [Project]
[7] Ruoyu Feng, Xin Jin, Zongyu Guo, Runsen Feng, Yixin Gao, Tianyu He, Zhizheng Zhang, Simeng Sun, Zhibo Chen*, “Image Coding for Machines with Omnipotent Feature Learning”, ECCV 2022. [Paper] [Project]
[8] Jun Fu, Chen Hou, Wei Zhou, Jiahua Xu, Zhibo Chen*, “Adaptive Hypergraph Convolutional Network for No-Reference 360-degree Image Quality”, ACM MM 2022.
[9] Xin Jin, Tianyu He, Xu Shen, Tongliang Liu, Xinchao Wang, Jianqiang Huang, Zhibo Chen*, Xian-Sheng Hua*, “Meta Clustering Learning for Large-scale Unsupervised Person Re-identification”, ACM MM 2022.
[10] Yiting lu, Jun Fu,Xin Li, Wei Zhou, Sen Liu, Xinxin Zhang, Wei Wu, Congfu Jia, Ying Liu, Zhibo Chen*, “RTN: Reinforced Transformer Network for Coronary CT Angiography Vessel-level Image Quality Assessment”, MICCAI 2022.
[11] Jin, Xin, Tianyu He, Kecheng Zheng, Zhiheng Yin, Xu Shen, Zhen Huang, Ruoyu Feng, Jianqiang Huang, Zhibo Chen*, and Xian-Sheng Hua*, “Cloth-Changing Person Re-identification from A Single Image with Gait Prediction and Regularization”, CVPR 2022. [Paper]
[12] Jianzhao Liu, Xin Li, Yanding Peng, Tao Yu, Zhibo Chen. Swiniqa: Learned swin distance for compressed image quality assessment[C]//Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. 2022: 1795-1799. [Paper] [Project]
2021
[1] Guoqiang Wei, Cuiling Lan, Wenjun Zeng, Zhizheng Zhang, Zhibo Chen*, “ToAlign: Task-Oriented Alignment for Unsupervised Domain Adaptation”, NeurIPS(Neural Information Processing Systems) 2021. [Paper]
[2] Tao Yu, Cuiling Lan, Wenjun Zeng, Mingxiao Feng, Zhizheng Zhang, Zhibo Chen*, “PlayVirtual: Augmenting Cycle-Consistent Virtual Trajectories for Reinforcement Learning”, NeurIPS(Neural Information Processing Systems) 2021. [Paper]
[3] Xin Jin, Cuiling Lan, Wenjun Zeng, Zhibo Chen*, “Re-energizing Domain Discriminator with Sample Relabeling for Adversarial Domain Adaptation”, ICCV(International Conference on Computer Vision) 2021. [Paper]
[4] Tianyu He, Xin Jin, Xu Shen, Jianqiang Huang, Zhibo Chen, Xian-Sheng Hua, “Dense Interaction Learning for Video-based Person Re-identification”, ICCV(International Conference on Computer Vision) 2021. [Paper]
[5] Xiaohan Pan, Zongyu Guo, Zhibo Chen*, “Analyzing Time Complexity of Practical Learned Image Compression Models”, VCIP 2021.
[6] Shiyu Huang, Ziyuan Luo, Jiahua Xu, Wei Zhou, Zhibo Chen*, “Perceptual Evaluation of Pre-processing for Video Transcoding”, VCIP 2021.
[7] Jun Fu, Chen Hou, Zhibo Chen*, “AutoDerain: Memory-efficient Neural Architecture Search for Image Deraining”, VCIP 2021.
[8] Jun Fu, Chen Hou, Zhibo Chen*, “360HRL: Hierarchical Reinforcement Learning Based Rate Adaptation for 360-Degree Video Streaming”, VCIP 2021.
[9] Zongyu Guo, Zhizheng Zhang, Runsen Feng, Zhibo Chen*, “Soft then Hard: Rethinking the Quantization in Neural Image Compression”, ICML(Internaltioanl Conference on Machine Learning) 2021. [Paper]
[10] Jiahua Xu, Jing Li, XingGuang Zhou, Wei Zhou, Baichao Wang, Zhibo Chen, “Perceptual Quality Assessment of Internet Videos”, ACM International Conference on Multimedia 2021.
[11] Zhizheng Zhang, Cuiling Lan, Wenjun Zeng, Zhibo Chen*, Shih-Fu Chang, “Uncertainty-Aware Few-Shot Image Classification”, IJCAI 2021. [Paper]
[12] Wei Zhou, Zhou Wang, Zhibo Chen, “Image Super-Resolution Quality Assessment: Structural Fidelity Versus Statistical Naturalness”, QoMEX 2021.
[13] Tianyu He, Xu Shen, Jianqiang Huang, Zhibo Chen, Xian-Sheng Hua, “Partial Person Re-identification with Part-Part Correspondence Learning”, CVPR 2021. [Paper]
[14] Guoqiang Wei, Cuiling Lan, Wenjun Zeng, Zhibo Chen*, “MetaAlign: Coordinating Domain Alignment and Classification for Unsupervised Domain Adaptation”, CVPR 2021. [Paper]
[15] Xin Li, Xin Jin, Tao Yu, Simeng Sun, Yingxue Pang, Zhizheng Zhang, Zhibo Chen*, “Learning Omni-Frequency Region-adaptive Representations for Real Image Super-Resolution”, AAAI 2021. [Paper]
[16] Wei Zhou, Zhibo Chen*, “Deep Multi-Scale Features Learning for Distorted Image Quality Assessment”, ISCAS 2021. [Paper]
[17] Zongyu Guo, Jun Fu, Runsen Feng, Zhibo Chen*, “Accelerate Neural Image Compression with Channel-Adaptive Arithmetic Coding”, ISCAS 2021. [Paper]
2020
[1] Wei Zhou, Zhibo Chen*, “Deep Local and Global Spatiotemporal Feature Aggregation for Blind Video Quality Assessment”, VCIP 2020.
[2] Xin Li, Xin Jin, Jianxin Lin, Sen Liu, Yaojun Wu, Tao Yu, Wei Zhou, Zhibo Chen*, “Learning Disentangled Feature Representation for Hybrid-distorted Image Restoration”, In The European Conference on Computer Vision (ECCV), 2020. [Paper]
[3] Jianzhao Liu, Jianxin Lin, Xin Li, Wei Zhou, Sen Liu, Zhibo Chen*, “LIRA: Lifelong Image Restoration from Unknown Blended Distortions”, In The European Conference on Computer Vision (ECCV), 2020. [Paper]
[4] Jianxin Lin, Yingxue Pang, Yingce Xia, Zhibo Chen*, Jiebo Luo, “TuiGAN: Learning Versatile Image-to-Image Translation with Two Unpaired Images”, In The European Conference on Computer Vision (ECCV), 2020. [Paper]
[5] Xin Jin, Cuiling Lan, Wenjun Zeng, Zhibo Chen*, “Global Distance-distributions Separation for Unsupervised Person Re-identification”, In The European Conference on Computer Vision (ECCV), 2020. [Paper]
[6] Zongyu Guo#, Yaojun Wu#, Runsen Feng, Zhizheng Zhang, Zhibo Chen*, “3-D Context Entropy Model for Improved Practical Image Compression”, In The IEEE Conference on Computer Vision and Pattern Recognition Workshop(CVPRW), 2020.
[7] Runsen Feng, Yaojun Wu, Zongyu Guo, Zhizheng Zhang, Zhibo Chen*, “Learned Video Compression with Feature-level Residuals”, In The IEEE Conference on Computer Vision and Pattern Recognition Workshop(CVPRW), 2020.
[8] Xin Li#, Simeng Sun#, Zhizheng Zhang, Zhibo Chen*, “Multi-scale Grouped Dense Network for VVC Intra Coding”, In The IEEE Conference on Computer Vision and Pattern Recognition Workshop(CVPRW), 2020.
[9] Xin Jin, Cuiling Lan*, Wenjun Zeng, Zhibo Chen*, Li Zhang, “Style Normalization and Restitution for Generalizable Person Re-identification”, In The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020.
[10] Zhizheng Zhang, Cuiling Lan*, Wenjun Zeng, Zhibo Chen*, “Multi-Granularity Reference-Aided Attentive Feature Aggregation for Video-based Person Re-identification”, In The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020.
[11] Zhizheng Zhang, Cuiling Lan*, Wenjun Zeng, Zhibo Chen*, “Relation-aware Global Attention for Person Re-identification”, In The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020.
[12] Jun Shi, Zhibo Chen*, “Reinforced Bit Allocation Under Task-Driven Semantic Distortion Metrics”, IEEE ISCAS 2020. [Paper]
[13] Yaojun Wu, Tianyu He, Zhibo Chen, “Memorize, Then Recall: a Generative Framework for Low Bit-Rate Surveillance Video Compression”, IEEE ISCAS 2020. [Paper]
[14] Jianxin Lin, Yijun Wang, Zhibo Chen*, Tianyu He, “Learning to Transfer: Unsupervised Domain Translation via Meta-Learning”, AAAI 2020. [Paper]
[15] Tao Yu, Zongyu Guo, Xin Jin, Shilin Wu, Zhibo Chen*, Weiping Li, Zhizheng Zhang, Sen Liu, “Region Normalization for Image Inpainting”, AAAI 2020. [Paper]
[16] Xin Jin, Cuiling Lan*, Wenjun Zeng, Guoqiang Wei, Zhibo Chen*, “Semantics-Aligned Representation Learning for Person Re-identification”, AAAI 2020. [Paper]
[17] Xin Jin, Cuiling Lan*, Wenjun Zeng, Zhibo Chen*, “Uncertainty-aware Multi-shot Knowledge Distillation for Image-based Object Re-identification”, AAAI 2020. [Paper]
2019
[1] Tianyu He#, Simeng Sun#, Zongyu Guo, Zhibo Chen*, "Beyond Coding: Detection-driven Image Compression with Semantically Structured Bit-stream", The 34th Picture Coding Symposium (PCS), 2019. [Paper]
[2] Zongyu Guo#, Zhizheng Zhang#, Zhibo Chen*, "Deep Scalable Image Compression via Hierarchical Feature Decorrelation", The 34th Picture Coding Symposium (PCS), 2019. [Paper]
[3] Jiahua Xu, Ziyuan Luo, Wei Zhou, Wenyuan Zhang, Zhibo Chen*, “Quality Assessment of Stereoscopic 360-degree Images from Multi-viewports”, The 34th Picture Coding Symposium (PCS): 2019. [Paper]
[4] Ziyuan Luo#, Wei Zhou#, Likun Shi, and Zhibo Chen*, "No-Reference Light Field Image Quality Assessment Based on Micro-Lens Image", The 34th Picture Coding Symposium (PCS), 2019. [Paper]
[5] Sen Liu, Shuxin Zhao, Yingxue Pang and Zhibo Chen, "Human Machine Joint Decision Making in Distorted Surveillance Scenario", The 2th China Symposium on Cognitive Computing and Hybrid Intelligence, 2019. [Paper] (Best Paper Award)
[6] Zongyu Guo, Zhibo Chen*, Tao Yu, Jiale Chen, Sen Liu, "Progressive Image Inpainting with Full-Resolution Residual Network". In ACM Multimedia Conference, 2019. [Paper] [Project]
[7] Tianyu He, Yingce Xia, Jianxin Lin, Xu Tan, Di He, Tao Qin, Zhibo Chen*. "Deliberation Learning for Image-to-Image Translation". In International Joint Conference on Artificial Intelligence (IJCAI), 2019. [Paper]
[8] Jianxin Lin, Yingce Xia, Yijun Wang, Tao Qin, Zhibo Chen*, "Image-to-Image Translation with Multi-Path Consistency Regularization", In International Joint Conference on Artificial Intelligence (IJCAI), 2019. [Paper]
[9] Likun Shi, Shengyang Zhao, Zhibo Chen*, "BELIF: Blind Quality Evaluator of Light Field Image with Tensor Structure Variation Index", In IEEE International Conference on Image Processing (ICIP), 2019. [Paper] [Project]
[10] Chaowei Shan, Zhizheng Zhang, Zhibo Chen*, “A Coarse-to-Fine Framework for Learned Color Enhancement with Non-Local Attention”, In IEEE International Conference on Image Processing (ICIP), 2019. [Paper]
[11] Xin Jin, Zhibo Chen*, Jianxin Lin, Zhikai Chen, Wei Zhou. Unsupervised single image deraining with self-supervised constraints[C]//2019 IEEE International Conference on Image Processing (ICIP). IEEE, 2019: 2761-2765. [Paper] [Project]
[12] Xin Jin, Zhibo Chen*, Jianxin Lin, Wei Zhou, Jiale Chen, Chaowei Shan "AI-GAN: Signal De-interference via Asynchronous Interactive Generative Adversarial Network", In IEEE International Conference on Multimedia and Expo Workshop (ICMEW), 2019. [Paper]
[13] Jianxin Lin#, Tiankuang Zhou#, Zhibo Chen, "DeepIR: A Deep Semantics Driven Framework for Image Retargeting", In IEEE International Conference on Multimedia and Expo Workshop (ICMEW), 2019. [Paper] [Project]
[14] Salah Addin Mohammed, Ya Zhou, Zhibo Chen, Houqiang Li, "Objective Quality Assessment Method for Stereoscopic Image Retargeting", In IEEE International Conference on Multimedia and Expo Workshop (ICMEW), 2019. [Paper]
[15] Sen Liu#, Jianxin Lin#, Zhibo Chen, "Distribution Discrepancy Maximization for Image Privacy Preserving", In IEEE International Conference on Multimedia and Expo Workshop (ICMEW), 2019. [Paper]
[16] Sen Liu, Zongyu Guo, Jiale Chen, Tao Yu, Zhibo Chen, "Interleaved Zooming Network for Image Inpainting", In IEEE International Conference on Multimedia and Expo Workshop (ICMEW), 2019. [Paper]
[17] Jun Fu, Xiaoming Chen, Zhizheng Zhang, Shilin Wu, Zhibo Chen, "360SRL: A sequential Reinforcement Learning Approach for ABR tile-based 360 video streaming", In IEEE International Conference on Multimedia and Expo (ICME), 2019.
[18] Zhizheng Zhang, Zhibo Chen*, Jianxin Lin, Weiping Li, "Learned Scalable Image Compression with Bidirectional Context Disentanglement Network", In IEEE International Conference on Multimedia and Expo (ICME), 2019. [Paper]
[19] Zhizheng Zhang, Cuiling Lan*, Wenjun Zeng, Zhibo Chen*, "Densely Semantically Aligned Person Re-identification." In The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019. [Paper]
[20] Zhen Chen, Jianxin Lin, Sen Liu, Zhibo Chen*, Weiping Li, Jin Zhao, Wei Yan*, “Exploiting Weight-Level Sparsity in Channel Pruning with Low-Rank Approximation”, IEEE International Symposium on Circuits and Systems (ISCAS), 2019. [Paper]
[21] Shuxin Zhao#, Jiahua Xu#, Yongquan Hu, Wei Zhou, Sen Liu, Zhibo Chen*, "How do you Perceive Differently from an AI — A Database for Semantic Distortion Measurement", IEEE International Symposium on Circuits and Systems (ISCAS), 2019. [Paper]
[22] Jun Shi, Changsheng Gao, Zhibo Chen*, "Asymmetric-Kernel CNN Based Fast CTU Partition for HEVC Intra Coding", IEEE International Symposium on Circuits and Systems (ISCAS), 2019. [Paper]