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ORCIDYongbing Zhang 0002
Person information
- affiliation: Harbin Institute of Technology, School of Computer Science and Technology, Shenzhen, China
- affiliation (2016-2017): University of California, Berkeley, CA, USA
- affiliation (2010-2020): Tsinghua University, Tsinghua Shenzhen International Graduate School, China
- affiliation (PhD 2010): Harbin Institute of Technology, China
Other persons with the same name
- Yongbing Zhang (aka: Yong-bing Zhang) — disambiguation page
- Yongbing Zhang 0001
![[0000-0002-1320-3734]](https://dblp.org/img/orcid-mark.12x12.png "0000-0002-1320-3734")
— University of Tsukuba, Faculty of Engineering, Information and Systems, Japan (and 1 more) - Yongbing Zhang 0003 — Lanzhou University of Technology, School of Computers and Communication, China (and 1 more)
- Yongbing Zhang 0004 — Kunming University of Science and Technology, Faculty of Information Engineering and Automation, Chenggong, Yunnan, China
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2020 – today
- 2025
[j54]Bin Chen, Xuanyu Zhang, Shuai Liu, Yongbing Zhang, Jian Zhang:
Self-supervised Scalable Deep Compressed Sensing. Int. J. Comput. Vis. 133(2): 688-723 (2025)- [j53]Yiyang Lin, Yifeng Wang, Zijie Fang, Zexin Li, Xianchao Guan, Danling Jiang, Yongbing Zhang:
A Multi-Perspective Self-Supervised Generative Adversarial Network for FS to FFPE Stain Transfer. IEEE Trans. Medical Imaging 44(2): 774-788 (2025) - [c92]Xianchao Guan, Yifeng Wang, Ye Zhang, Zheng Zhang, Yongbing Zhang:
OT-StainNet: Optimal Transport Driven Semantic Matching for Weakly Paired H&E-to-IHC Stain Transfer. AAAI 2025: 3194-3202 - [c91]Jinpeng Wang, Niu Lian, Jun Li, Yuting Wang, Yan Feng, Bin Chen, Yongbing Zhang, Shu-Tao Xia:
Efficient Self-Supervised Video Hashing with Selective State Spaces. AAAI 2025: 7753-7761 - [c90]Ye Zhang, Zijie Fang, Yifeng Wang, Lingbo Zhang, Xianchao Guan, Yongbing Zhang:
Category Prompt Mamba Network for Nuclei Segmentation and Classification. AAAI 2025: 10284-10292 - [i34]Jiuyang Dong, Junjun Jiang, Kui Jiang, Jiahan Li, Yongbing Zhang:
Fast and Accurate Gigapixel Pathological Image Classification with Hierarchical Distillation Multi-Instance Learning. CoRR abs/2502.21130 (2025) - [i33]Ye Zhang, Zijie Fang, Yifeng Wang, Lingbo Zhang, Xianchao Guan, Yongbing Zhang:
Category Prompt Mamba Network for Nuclei Segmentation and Classification. CoRR abs/2503.10422 (2025) - 2024
- [j52]Marc Aubreville, Nikolas Stathonikos, Taryn A. Donovan, Robert Klopfleisch, Jonas Ammeling, Jonathan Ganz, Frauke Wilm, Mitko Veta, Samir Jabari, Markus Eckstein, Jonas Annuscheit, Christian Krumnow, Engin Bozaba, Sercan Çayir, Hongyan Gu, Xiang Anthony Chen, Mostafa Jahanifar, Adam Shephard, Satoshi Kondo, Satoshi Kasai, Sujatha Kotte, VG Saipradeep, Maxime W. Lafarge, Viktor H. Koelzer, Ziyue Wang, Yongbing Zhang, Sen Yang, Xiyue Wang, Katharina Breininger, Christof A. Bertram:
Domain generalization across tumor types, laboratories, and species - Insights from the 2022 edition of the Mitosis Domain Generalization Challenge. Medical Image Anal. 94: 103155 (2024) - [j51]Linghan Cai, Lijiang Chen, Jianhao Huang, Yifeng Wang, Yongbing Zhang:
Know your orientation: A viewpoint-aware framework for polyp segmentation. Medical Image Anal. 97: 103288 (2024) - [j50]Xiaochen Feng, Hao Sha, Yongbing Zhang, Yaoquan Su, Shuai Liu, Yuan Jiang, Shangguo Hou, Sanyang Han, Xiangyang Ji:
Reliable deep learning in anomalous diffusion against out-of-distribution dynamics. Nat. Comput. Sci. 4(10): 761-772 (2024) - [j49]Xiaochen Feng, Hao Sha, Yongbing Zhang, Yaoquan Su, Shuai Liu, Yuan Jiang, Shangguo Hou, Sanyang Han, Xiangyang Ji:
Publisher Correction: Reliable deep learning in anomalous diffusion against out-of-distribution dynamics. Nat. Comput. Sci. 4(11): 877 (2024) - [j48]Zhuchen Shao, Liuxi Dai, Yifeng Wang, Haoqian Wang, Yongbing Zhang:
AugDiff: Diffusion-Based Feature Augmentation for Multiple Instance Learning in Whole Slide Image. IEEE Trans. Artif. Intell. 5(12): 6617-6628 (2024) - [j47]Weiqi Li, Bin Chen, Shuai Liu, Shijie Zhao, Bowen Du, Yongbing Zhang, Jian Zhang:
D3C2-Net: Dual-Domain Deep Convolutional Coding Network for Compressive Sensing. IEEE Trans. Circuits Syst. Video Technol. 34(10): 9341-9355 (2024) - [j46]Xuanyu Zhang, Bin Chen, Wenzhen Zou, Shuai Liu, Yongbing Zhang, Ruiqin Xiong, Jian Zhang:
Progressive Content-Aware Coded Hyperspectral Snapshot Compressive Imaging. IEEE Trans. Circuits Syst. Video Technol. 34(11): 10817-10830 (2024) - [j45]Xianchao Guan, Yifeng Wang, Yiyang Lin, Xi Li, Yongbing Zhang:
Unsupervised Multi-Domain Progressive Stain Transfer Guided by Style Encoding Dictionary. IEEE Trans. Image Process. 33: 767-779 (2024) - [c89]Zijie Fang, Yifeng Wang, Ye Zhang, Zhi Wang, Jian Zhang, Xiangyang Ji, Yongbing Zhang:
MamMIL: Multiple Instance Learning for Whole Slide Images with State Space Models. BIBM 2024: 3200-3205 - [c88]Jiahan Li, Jiuyang Dong, Shenjin Huang, Xi Li, Junjun Jiang, Xiaopeng Fan, Yongbing Zhang:
Virtual Immunohistochemistry Staining for Histological Images Assisted by Weakly-supervised Learning. CVPR 2024: 11259-11268 - [c87]Yueheng Li, Xianchao Guan, Yifeng Wang, Yongbing Zhang:
Exploiting Supervision Information in Weakly Paired Images for IHC Virtual Staining. MICCAI (4) 2024: 113-122 - [c86]Ziyue Wang, Ye Zhang, Yifeng Wang, Linghan Cai, Yongbing Zhang:
Dynamic Pseudo Label Optimization in Point-Supervised Nuclei Segmentation. MICCAI (8) 2024: 220-230 - [c85]Songhan Jiang, Zhengyu Gan, Linghan Cai, Yifeng Wang, Yongbing Zhang:
Multimodal Cross-Task Interaction for Survival Analysis in Whole Slide Pathological Images. MICCAI (4) 2024: 329-339 - [c84]Ye Zhang, Ziyue Wang, Yifeng Wang, Hao Bian, Linghan Cai, Hengrui Li, Lingbo Zhang, Yongbing Zhang:
Boundary-aware Contrastive Learning for Semi-supervised Nuclei Instance Segmentation. MIDL 2024: 1851-1861 - [c83]Xuanyu Zhang, Jiarui Meng, Runyi Li, Zhipei Xu, Yongbing Zhang, Jian Zhang:
GS-Hider: Hiding Messages into 3D Gaussian Splatting. NeurIPS 2024 - [d1]Yongbing Zhang, Xianchao Guan, Yifeng Wang, Yiyang Lin, Xi Li:
glomeruli segmentation. IEEE DataPort, 2024
- [i32]Ye Zhang, Linghan Cai, Ziyue Wang, Yongbing Zhang:
SEINE: Structure Encoding and Interaction Network for Nuclei Instance Segmentation. CoRR abs/2401.09773 (2024) - [i31]Ye Zhang, Ziyue Wang, Yifeng Wang, Hao Bian, Linghan Cai, Hengrui Li, Lingbo Zhang, Yongbing Zhang:
Boundary-aware Contrastive Learning for Semi-supervised Nuclei Instance Segmentation. CoRR abs/2402.04756 (2024) - [i30]Zijie Fang, Yifeng Wang, Zhi Wang, Jian Zhang, Xiangyang Ji, Yongbing Zhang:
MamMIL: Multiple Instance Learning for Whole Slide Images with State Space Models. CoRR abs/2403.05160 (2024) - [i29]Ye Zhang, Yifeng Wang, Zijie Fang, Hao Bian, Linghan Cai, Ziyue Wang, Yongbing Zhang:
DAWN: Domain-Adaptive Weakly Supervised Nuclei Segmentation via Cross-Task Interactions. CoRR abs/2404.14956 (2024) - [i28]Xuanyu Zhang, Jiarui Meng, Runyi Li, Zhipei Xu, Yongbing Zhang, Jian Zhang:
GS-Hider: Hiding Messages into 3D Gaussian Splatting. CoRR abs/2405.15118 (2024) - [i27]Runyi Li, Xuanyu Zhang, Zhipei Xu, Yongbing Zhang, Jian Zhang:
Protect-Your-IP: Scalable Source-Tracing and Attribution against Personalized Generation. CoRR abs/2405.16596 (2024) - [i26]Ziyue Wang, Ye Zhang, Yifeng Wang, Linghan Cai, Yongbing Zhang:
Dynamic Pseudo Label Optimization in Point-Supervised Nuclei Segmentation. CoRR abs/2406.16427 (2024) - [i25]Songhan Jiang, Zhengyu Gan, Linghan Cai, Yifeng Wang, Yongbing Zhang:
Multimodal Cross-Task Interaction for Survival Analysis in Whole Slide Pathological Images. CoRR abs/2406.17225 (2024) - [i24]Jinpeng Wang, Niu Lian, Jun Li, Yuting Wang, Yan Feng, Bin Chen, Yongbing Zhang, Shu-Tao Xia:
Efficient Self-Supervised Video Hashing with Selective State Spaces. CoRR abs/2412.14518 (2024) - [i23]Zijie Fang, Yifeng Wang, Peizhang Xie, Zhi Wang, Yongbing Zhang:
HisynSeg: Weakly-Supervised Histopathological Image Segmentation via Image-Mixing Synthesis and Consistency Regularization. CoRR abs/2412.20924 (2024) - 2023
- [j44]Jian Zhang, Bin Chen, Ruiqin Xiong, Yongbing Zhang:
Physics-Inspired Compressive Sensing: Beyond deep unrolling. IEEE Signal Process. Mag. 40(1): 58-72 (2023) - [j43]Yang Chen, Zhuchen Shao, Hao Bian, Zijie Fang, Yifeng Wang, Yuanhao Cai, Haoqian Wang, GuoJun Liu, Xi Li, Yongbing Zhang:
dMIL-Transformer: Multiple Instance Learning Via Integrating Morphological and Spatial Information for Lymph Node Metastasis Classification. IEEE J. Biomed. Health Informatics 27(9): 4433-4443 (2023) - [c82]Zijie Fang, Yang Chen, Yifeng Wang, Zhi Wang, Xiangyang Ji, Yongbing Zhang:
Weakly-Supervised Semantic Segmentation for Histopathology Images Based on Dataset Synthesis and Feature Consistency Constraint. AAAI 2023: 606-613 - [c81]Zhuchen Shao, Yang Chen, Hao Bian, Jian Zhang, Guojun Liu, Yongbing Zhang:
HVTSurv: Hierarchical Vision Transformer for Patient-Level Survival Prediction from Whole Slide Image. AAAI 2023: 2209-2217 - [c80]Zhuchen Shao, Yifeng Wang, Yang Chen, Hao Bian, Shaohui Liu, Haoqian Wang, Yongbing Zhang:
LNPL-MIL: Learning from Noisy Pseudo Labels for Promoting Multiple Instance Learning in Whole Slide Image. ICCV 2023: 21438 - [c79]Jiale Zhang, Yulun Zhang, Jinjin Gu, Yongbing Zhang, Linghe Kong, Xin Yuan:
Accurate Image Restoration with Attention Retractable Transformer. ICLR 2023 - [c78]Zexin Li, Yiyang Lin, Yifeng Wang, Zijie Fang, Hao Bian, Runze Hu, Xiu Li, Yongbing Zhang:
ST-MKSC: The FF-FFPE Stain Transfer Based on Multiple Key Structure Constraint. ISBI 2023: 1-5 - [c77]Yiyang Lin, Yifeng Wang, Yang Chen, Zirui Zhu, Zijie Fang, Miaorun Lin, Zexin Li, Yongbing Zhang:
Unpaired H&E to PR Stain Transfer with Self-Supervised Auxiliary Segmentation. ISBI 2023: 1-5 - [c76]Xianchao Guan, Yifeng Wang, Yiyang Lin, Yongbing Zhang:
Data Augmentation Based on DiscrimDiff for Histopathology Image Classification. DALI@MICCAI 2023: 53-62 - [i22]Simon Graham, Quoc Dang Vu, Mostafa Jahanifar, Martin Weigert, Uwe Schmidt, Wenhua Zhang, Jun Zhang, Sen Yang, Jinxi Xiang, Xiyue Wang, Josef Lorenz Rumberger, Elias Baumann, Peter Hirsch, Lihao Liu, Chenyang Hong, Angelica I. Avilés-Rivero, Ayushi Jain, Heeyoung Ahn, Yiyu Hong, Hussam Azzuni, Min Xu, Mohammad Yaqub, Marie-Claire Blache, Benoît Piégu, Bertrand Vernay, Tim Scherr, Moritz Böhland, Katharina Löffler, Jiachen Li, Weiqin Ying, Chixin Wang, Dagmar Kainmueller, Carola-Bibiane Schönlieb, Shuolin Liu, Dhairya Talsania, Yughender Meda, Prakash Mishra, Muhammad Ridzuan, Oliver Neumann, Marcel P. Schilling, Markus Reischl, Ralf Mikut, Banban Huang, Hsiang-Chin Chien, Ching-Ping Wang, Chia-Yen Lee, Hong-Kun Lin, Zaiyi Liu, Xipeng Pan, Chu Han, Jijun Cheng, Muhammad Dawood, Srijay Deshpande, Raja Muhammad Saad Bashir, Adam Shephard, Pedro Costa, João D. Nunes, Aurélio Campilho, Jaime S. Cardoso, Hrishikesh P. S, Densen Puthussery, Devika R. G, Jiji C V, Ye Zhang, Zijie Fang, Zhifan Lin, Yongbing Zhang, Chunhui Lin, Liukun Zhang, Lijian Mao, Min Wu, Thi Tuong Vi Vo, Soo-Hyung Kim, Taebum Lee, Satoshi Kondo, Satoshi Kasai, Pranay Dumbhare, Vedant Phuse, Yash Dubey, Ankush Jamthikar, Trinh Thi Le Vuong, Jin Tae Kwak, Dorsa Ziaei, Hyun Jung, Tianyi Miao, David R. J. Snead, Shan-E-Ahmed Raza, Fayyaz Minhas, Nasir M. Rajpoot:
CoNIC Challenge: Pushing the Frontiers of Nuclear Detection, Segmentation, Classification and Counting. CoRR abs/2303.06274 (2023) - [i21]Zhuchen Shao, Liuxi Dai, Yifeng Wang, Haoqian Wang, Yongbing Zhang:
AugDiff: Diffusion based Feature Augmentation for Multiple Instance Learning in Whole Slide Image. CoRR abs/2303.06371 (2023) - [i20]Xuanyu Zhang, Bin Chen, Wenzhen Zou, Shuai Liu, Yongbing Zhang, Ruiqin Xiong, Jian Zhang:
Progressive Content-aware Coded Hyperspectral Compressive Imaging. CoRR abs/2303.09773 (2023) - [i19]Chuang Zhu, Shengjie Liu, Feng Xu, Zekuan Yu, Arpit Aggarwal, Germán Corredor, Anant Madabhushi, Qixun Qu, Hongwei Fan, Fangda Li, Yueheng Li, Xianchao Guan, Yongbing Zhang, Vivek Kumar Singh, Farhan Akram, Md. Mostafa Kamal Sarker, Zhongyue Shi, Mulan Jin:
Breast Cancer Immunohistochemical Image Generation: a Benchmark Dataset and Challenge Review. CoRR abs/2305.03546 (2023) - [i18]Zhuchen Shao, Yang Chen, Hao Bian, Jian Zhang, Guojun Liu, Yongbing Zhang:
HVTSurv: Hierarchical Vision Transformer for Patient-Level Survival Prediction from Whole Slide Image. CoRR abs/2306.17373 (2023) - [i17]Bin Chen, Xuanyu Zhang, Shuai Liu, Yongbing Zhang, Jian Zhang:
Self-Supervised Scalable Deep Compressed Sensing. CoRR abs/2308.13777 (2023) - [i16]Marc Aubreville, Nikolas Stathonikos, Taryn A. Donovan, Robert Klopfleisch, Jonathan Ganz, Jonas Ammeling, Frauke Wilm, Mitko Veta, Samir Jabari, Markus Eckstein, Jonas Annuscheit, Christian Krumnow, Engin Bozaba, Sercan Cayir, Hongyan Gu, Xiang 'Anthony' Chen, Mostafa Jahanifar, Adam Shephard, Satoshi Kondo, Satoshi Kasai, Sujatha Kotte, VG Saipradeep, Maxime W. Lafarge, Viktor H. Koelzer, Ziyue Wang, Yongbing Zhang, Sen Yang, Xiyue Wang, Katharina Breininger, Christof A. Bertram:
Domain generalization across tumor types, laboratories, and species - insights from the 2022 edition of the Mitosis Domain Generalization Challenge. CoRR abs/2309.15589 (2023) - [i15]Zijie Fang, Yihan Liu, Yifeng Wang, Xiangyang Zhang, Yang Chen, Changjing Cai, Yiyang Lin, Ying Han, Zhi Wang, Shan Zeng, Hong Shen, Jun Tan, Yongbing Zhang:
Deep Learning Predicts Biomarker Status and Discovers Related Histomorphology Characteristics for Low-Grade Glioma. CoRR abs/2310.07464 (2023) - 2022
- [j42]Yang Liu, Lijin Lian, Ersi Zhang, Lulu Xu, Chufan Xiao, Xiaoyun Zhong, Fang Li, Bin Jiang, Yuhan Dong, Lan Ma, Qiming Huang, Ming Xu, Yongbing Zhang, Dongmei Yu, Chenggang Yan, Peiwu Qin:
Mixed-UNet: Refined class activation mapping for weakly-supervised semantic segmentation with multi-scale inference. Frontiers Comput. Sci. 4 (2022) - [j41]Jingfen Xie, Jian Zhang, Yongbing Zhang, Xiangyang Ji:
PUERT: Probabilistic Under-Sampling and Explicable Reconstruction Network for CS-MRI. IEEE J. Sel. Top. Signal Process. 16(4): 737-749 (2022) - [j40]Jian Zhang, Zhenyu Zhang, Jingfen Xie, Yongbing Zhang:
High-Throughput Deep Unfolding Network for Compressive Sensing MRI. IEEE J. Sel. Top. Signal Process. 16(4): 750-761 (2022) - [c75]Yiyang Lin, Bowei Zeng, Yifeng Wang, Yang Chen, Zijie Fang, Jian Zhang, Xiangyang Ji, Haoqian Wang, Yongbing Zhang:
Unpaired Multi-Domain Stain Transfer for Kidney Histopathological Images. AAAI 2022: 1630-1637 - [c74]Xuanyu Zhang, Yongbing Zhang, Ruiqin Xiong, Qilin Sun, Jian Zhang:
HerosNet: Hyperspectral Explicable Reconstruction and Optimal Sampling Deep Network for Snapshot Compressive Imaging. CVPR 2022: 17511-17520 - [c73]Hao Bian, Zhuchen Shao, Yang Chen, Yifeng Wang, Haoqian Wang, Jian Zhang, Yongbing Zhang:
Multiple Instance Learning with Mixed Supervision in Gleason Grading. MICCAI (8) 2022: 204-213 - [c72]Bowei Zeng, Yiyang Lin, Yifeng Wang, Yang Chen, Jiuyang Dong, Xi Li, Yongbing Zhang:
Semi-supervised PR Virtual Staining for Breast Histopathological Images. MICCAI (2) 2022: 232-241 - [c71]Ziyue Wang, Yang Chen, Zijie Fang, Hao Bian, Yongbing Zhang:
Multi-task RetinaNet for Mitosis Detection. MIDOG/DRAC@MICCAI 2022: 234-240 - [c70]Zheng Chen, Yulun Zhang, Jinjin Gu, Yongbing Zhang, Linghe Kong, Xin Yuan:
Cross Aggregation Transformer for Image Restoration. NeurIPS 2022 - [c69]Ziyue Wang, Zijie Fang, Yang Chen, Zexi Yang, Xinhao Liu, Yongbing Zhang:
Semi-Supervised Cell Instance Segmentation for Multi-Modality Microscope Images. Cell Segmentation Challenge @ NeurIPS 2022: 1-11 - [i14]Chu Han, Xipeng Pan, Lixu Yan, Huan Lin, Bingbing Li, Su Yao, Shanshan Lv, Zhenwei Shi, Jinhai Mai, Jiatai Lin, Bingchao Zhao, Zeyan Xu, Zhizhen Wang, Yumeng Wang, Yuan Zhang, Huihui Wang, Chao Zhu, Chunhui Lin, Lijian Mao, Min Wu, Luwen Duan, Jingsong Zhu, Dong Hu, Zijie Fang, Yang Chen, Yongbing Zhang, Yi Li, Yiwen Zou, Yiduo Yu, Xiaomeng Li, Haiming Li, Yanfen Cui, Guoqiang Han, Yan Xu, Jun Xu, Huihua Yang, Chunming Li, Zhenbing Liu, Cheng Lu, Xin Chen, Changhong Liang, Qingling Zhang, Zaiyi Liu:
WSSS4LUAD: Grand Challenge on Weakly-supervised Tissue Semantic Segmentation for Lung Adenocarcinoma. CoRR abs/2204.06455 (2022) - [i13]Jingfen Xie, Jian Zhang, Yongbing Zhang, Xiangyang Ji:
PUERT: Probabilistic Under-sampling and Explicable Reconstruction Network for CS-MRI. CoRR abs/2204.11189 (2022) - [i12]Yang Liu, Ersi Zhang, Lulu Xu, Chufan Xiao, Xiaoyun Zhong, Lijin Lian, Fang Li, Bin Jiang, Yuhan Dong, Lan Ma, Qiming Huang, Ming Xu, Yongbing Zhang, Dongmei Yu, Chenggang Yan, Peiwu Qin:
Mixed-UNet: Refined Class Activation Mapping for Weakly-Supervised Semantic Segmentation with Multi-scale Inference. CoRR abs/2205.04227 (2022) - [i11]Hao Bian, Zhuchen Shao, Yang Chen, Yifeng Wang, Haoqian Wang, Jian Zhang, Yongbing Zhang:
Multiple Instance Learning with Mixed Supervision in Gleason Grading. CoRR abs/2206.12798 (2022) - [i10]Yang Chen, Ziyue Wang, Zijie Fang, Hao Bian, Yongbing Zhang:
Multi tasks RetinaNet for mitosis detection. CoRR abs/2208.12657 (2022) - [i9]Jiale Zhang, Yulun Zhang, Jinjin Gu, Yongbing Zhang, Linghe Kong, Xin Yuan:
Accurate Image Restoration with Attention Retractable Transformer. CoRR abs/2210.01427 (2022) - [i8]Zheng Chen, Yulun Zhang, Jinjin Gu, Yongbing Zhang, Linghe Kong, Xin Yuan:
Cross Aggregation Transformer for Image Restoration. CoRR abs/2211.13654 (2022) - 2021
- [j39]Xu Chen, Bowen Li, Shaowei Jiang, Terrance Zhang, Xu Zhang, Peiwu Qin, Xi Yuan, Yongbing Zhang, Guoan Zheng, Xiangyang Ji:
Accelerated Phase Shifting for Structured Illumination Microscopy Based on Deep Learning. IEEE Trans. Computational Imaging 7: 700-712 (2021) - [j38]Chenggang Yan, Zhisheng Li, Yongbing Zhang, Yutao Liu, Xiangyang Ji, Yong-Dong Zhang:
Depth Image Denoising Using Nuclear Norm and Learning Graph Model. ACM Trans. Multim. Comput. Commun. Appl. 16(4): 122:1-122:17 (2021) - [j37]Chenggang Yan, Tong Teng, Yutao Liu, Yongbing Zhang, Haoqian Wang, Xiangyang Ji:
Precise No-Reference Image Quality Evaluation Based on Distortion Identification. ACM Trans. Multim. Comput. Commun. Appl. 17(3s): 110:1-110:21 (2021) - [c68]Zhuchen Shao, Hao Bian, Yang Chen, Yifeng Wang, Jian Zhang, Xiangyang Ji, Yongbing Zhang:
TransMIL: Transformer based Correlated Multiple Instance Learning for Whole Slide Image Classification. NeurIPS 2021: 2136-2147 - [c67]Xinye Jiang, Zhenyu Liu, Yongbing Zhang, Xiangyang Ji:
A Distortion Propagation Oriented CU-tree Algorithm for x265. VCIP 2021: 1-5 - [i7]Zhuchen Shao, Hao Bian, Yang Chen, Yifeng Wang, Jian Zhang, Xiangyang Ji, Yongbing Zhang:
TransMIL: Transformer based Correlated Multiple Instance Learning for Whole Slide Image Classication. CoRR abs/2106.00908 (2021) - [i6]Xuanyu Zhang, Yongbing Zhang, Ruiqin Xiong, Qilin Sun, Jian Zhang:
HerosNet: Hyperspectral Explicable Reconstruction and Optimal Sampling Deep Network for Snapshot Compressive Imaging. CoRR abs/2112.06238 (2021) - 2020
- [j36]Jiangpeng Yan, Shou Chen, Yongbing Zhang, Xiu Li:
Neural Architecture Search for compressed sensing Magnetic Resonance image reconstruction. Comput. Medical Imaging Graph. 85: 101784 (2020) - [j35]Shun Qin, Yongbing Zhang, Haoqian Wang, Wai Kin Chan:
Simple accurate model-based phase diversity phase retrieval algorithm for wavefront sensing in high-resolution optical imaging systems. IET Image Process. 14(17): 4513-4519 (2020) - [j34]Yongbing Zhang, Lixin Chen, Chenggang Yan, Peiwu Qin, Xiangyang Ji, Qionghai Dai:
Weighted Convolutional Motion-Compensated Frame Rate Up-Conversion Using Deep Residual Network. IEEE Trans. Circuits Syst. Video Technol. 30(1): 11-22 (2020) - [j33]Yongbing Zhang, Yihui Feng, Xianming Liu, Deming Zhai, Xiangyang Ji, Haoqian Wang, Qionghai Dai:
Color-Guided Depth Image Recovery With Adaptive Data Fidelity and Transferred Graph Laplacian Regularization. IEEE Trans. Circuits Syst. Video Technol. 30(2): 320-333 (2020) - [j32]Yutao Liu, Ke Gu, Yongbing Zhang, Xiu Li, Guangtao Zhai, Debin Zhao, Wen Gao:
Unsupervised Blind Image Quality Evaluation via Statistical Measurements of Structure, Naturalness, and Perception. IEEE Trans. Circuits Syst. Video Technol. 30(4): 929-943 (2020) - [j31]Yongbing Zhang, Siyuan Liu, Chao Dong, Xinfeng Zhang, Yuan Yuan:
Multiple Cycle-in-Cycle Generative Adversarial Networks for Unsupervised Image Super-Resolution. IEEE Trans. Image Process. 29: 1101-1112 (2020) - [j30]Chenggang Yan, Yunbin Tu, Xingzheng Wang, Yongbing Zhang, Xinhong Hao, Yongdong Zhang, Qionghai Dai:
STAT: Spatial-Temporal Attention Mechanism for Video Captioning. IEEE Trans. Multim. 22(1): 229-241 (2020) - [j29]Chenggang Yan, Yunbin Tu, Xingzheng Wang, Yongbing Zhang, Xinhong Hao, Yongdong Zhang, Qionghai Dai:
Corrections to "STAT: Spatial-Temporal Attention Mechanism for Video Captioning". IEEE Trans. Multim. 22(3): 830 (2020) - [j28]Yutao Liu, Ke Gu, Xiu Li, Yongbing Zhang:
Blind Image Quality Assessment by Natural Scene Statistics and Perceptual Characteristics. ACM Trans. Multim. Comput. Commun. Appl. 16(3): 91:1-91:91 (2020) - [c66]Xiu Li, Jiuyang Dong, Bowen Li, Yi Zhang, Yongbing Zhang, Ashok Veeraraghavan, Xiangyang Ji:
Fast confocal microscopy imaging based on deep learning. ICCP 2020: 1-12 - [c65]Hao Zhang, Haoqian Wang, Yongbing Zhang, Yanbin Peng:
DP2 Block: An Improved Multi-Scale Block for Pulmonary Nodule Detection. ISBI Workshops 2020: 1-4 - [i5]Jiangpeng Yan, Shuo Chen, Xiu Li, Yongbing Zhang:
Neural Architecture Search for Compressed Sensing Magnetic Resonance Image Reconstruction. CoRR abs/2002.09625 (2020) - [i4]Chenggang Yan, Zhisheng Li, Yongbing Zhang, Yutao Liu, Xiangyang Ji, Yongdong Zhang:
Depth image denoising using nuclear norm and learning graph model. CoRR abs/2008.03741 (2020)
2010 – 2019
- 2019
- [j27]Yongbing Zhang, Ze Cui, Xiangyang Ji, Haoqian Wang, Qionghai Dai:
3D Fourier Ptychographic Microscopy Based on the Beam Propagation Method and Time-Reversal Scheme. IEEE Access 7: 129402-129410 (2019) - [j26]Hangfan Liu, Ruiqin Xiong, Xiaopeng Fan, Debin Zhao, Yongbing Zhang, Wen Gao:
CG-Cast: Scalable Wireless Image SoftCast Using Compressive Gradient. IEEE Trans. Circuits Syst. Video Technol. 29(6): 1832-1843 (2019) - [j25]Yongbing Zhang, Yulun Zhang, Jian Zhang, Dong Xu, Yun Fu, Yisen Wang, Xiangyang Ji, Qionghai Dai:
Collaborative Representation Cascade for Single-Image Super-Resolution. IEEE Trans. Syst. Man Cybern. Syst. 49(5): 845-860 (2019) - [c64]Yuhao Xiao, Dingding Xu, Guijin Wang, Xiaowei Hu, Yongbing Zhang, Xiangyang Ji, Li Zhang:
Confidence Map Based 3D Cost Aggregation with Multiple Minimum Spanning Trees for Stereo Matching. ACPR (1) 2019: 355-365 - [c63]Tao Dai, Jianrui Cai, Yongbing Zhang, Shu-Tao Xia, Lei Zhang:
Second-Order Attention Network for Single Image Super-Resolution. CVPR 2019: 11065-11074 - [c62]Xiu Li, Guichun Duan, Zhouxia Wang, Jimmy S. J. Ren, Yongbing Zhang, Jiawei Zhang, Kaixiang Song:
Recovering Extremely Degraded Faces by Joint Super-Resolution and Facial Composite. ICTAI 2019: 524-530 - [c61]Meng Li, Haoqian Wang, Yongbing Zhang, Yi Yang:
A Deconvolutional Bottom-up Deep Network for multi-person pose estimation. IST 2019: 1-5 - [c60]Jingjing Li, Xinfeng Zhang, Yongbing Zhang, Haoqian Wang, Fang Yang:
Face Liveness Detection Based On Multiple Feature Descriptors. TAAI 2019: 1-5 - [i3]Minghao Yin, Xiu Li, Yongbing Zhang, Shiqi Wang:
On the Mathematical Understanding of ResNet with Feynman Path Integral. CoRR abs/1904.07568 (2019) - [i2]Yongbing Zhang, Yangzhe Liu, Xiu Li, Shaowei Jiang, Krishna Dixit, Xinfeng Zhang, Xiangyang Ji:
PgNN: Physics-guided Neural Network for Fourier Ptychographic Microscopy. CoRR abs/1909.08869 (2019) - 2018
- [j24]Tao Dai, Ke Gu, Li Niu, Yongbing Zhang, Weizhi Lu, Shu-Tao Xia:
Referenceless quality metric of multiply-distorted images based on structural degradation. Neurocomputing 290: 185-195 (2018) - [j23]Haoqian Wang, Bing Yan, Xingzheng Wang, Yongbing Zhang, Yi Yang:
Accurate saliency detection based on depth feature of 3D images. Multim. Tools Appl. 77(12): 14655-14672 (2018) - [j22]Yongbing Zhang, Lulu Sun, Chenggang Yan, Xiangyang Ji, Qionghai Dai:
Adaptive Residual Networks for High-Quality Image Restoration. IEEE Trans. Image Process. 27(7): 3150-3163 (2018) - [j21]Yongbing Zhang, Tao Shen, Xiangyang Ji, Yun Zhang, Ruiqin Xiong, Qionghai Dai:
Residual Highway Convolutional Neural Networks for in-loop Filtering in HEVC. IEEE Trans. Image Process. 27(8): 3827-3841 (2018) - [c59]Tao Dai, Yongbing Zhang, Li Dong, Lida Li, Xin-Ji Liu, Shu-Tao Xia:
Content-Aware Bilateral Filtering. BigMM 2018: 1-6 - [c58]Yuan Yuan, Siyuan Liu, Jiawei Zhang, Yongbing Zhang, Chao Dong, Liang Lin:
Unsupervised Image Super-Resolution Using Cycle-in-Cycle Generative Adversarial Networks. CVPR Workshops 2018: 701-710 - [c57]Minghao Yin, Yongbing Zhang, Xiu Li, Shiqi Wang:
When Deep Fool Meets Deep Prior: Adversarial Attack on Super-Resolution Network. ACM Multimedia 2018: 1930-1938 - [c56]Lulu Sun, Yongbing Zhang, Xingzheng Wang, Haoqian Wang, Qionghai Dai:
Fast, Robust, and Accurate Image Denoising via Very Deeply Cascaded Residual Networks. MMSP 2018: 1-6 - [c55]Lulu Sun, Yongbing Zhang, Chenggang Yan, Xiangyang Ji, Xinhong Hao, Yongdong Zhang, Qionghai Dai:
Image Denoising with Local Dense and Adaptive Global Residual Networks. PCM (1) 2018: 27-37 - [c54]Haoqian Wang, Shuhao Zhang, Xingzheng Wang, Yongbing Zhang:
Sparse-Region Net: Local-Enhanced Facial Depthmap Reconstruction from a Single Face Image. PCM (2) 2018: 663-673 - [i1]Yuan Yuan, Siyuan Liu, Jiawei Zhang, Yongbing Zhang, Chao Dong, Liang Lin:
Unsupervised Image Super-Resolution using Cycle-in-Cycle Generative Adversarial Networks. CoRR abs/1809.00437 (2018) - 2017
- [j20]Yongbing Zhang, Huijin Lv, Yebin Liu, Haoqian Wang, Xingzheng Wang, Qian Huang, Xinguang Xiang, Qionghai Dai:
Light-Field Depth Estimation via Epipolar Plane Image Analysis and Locally Linear Embedding. IEEE Trans. Circuits Syst. Video Technol. 27(4): 739-747 (2017) - [j19]Hongwei Qin, Xiu Li, Yangang Wang, Yongbing Zhang, Qionghai Dai:
Depth Estimation by Parameter Transfer With a Lightweight Model for Single Still Images. IEEE Trans. Circuits Syst. Video Technol. 27(4): 748-759 (2017) - [j18]Long Xu, Jia Li, Weisi Lin, Yongbing Zhang, Lin Ma, Yuming Fang, Yihua Yan:
Multi-Task Rank Learning for Image Quality Assessment. IEEE Trans. Circuits Syst. Video Technol. 27(9): 1833-1843 (2017) - [j17]Hangfan Liu, Ruiqin Xiong, Xinfeng Zhang, Yongbing Zhang, Siwei Ma, Wen Gao:
Nonlocal Gradient Sparsity Regularization for Image Restoration. IEEE Trans. Circuits Syst. Video Technol. 27(9): 1909-1921 (2017) - [j16]Chen Zhao, Jian Zhang, Siwei Ma, Xiaopeng Fan, Yongbing Zhang, Wen Gao:
Reducing Image Compression Artifacts by Structural Sparse Representation and Quantization Constraint Prior. IEEE Trans. Circuits Syst. Video Technol. 27(10): 2057-2071 (2017) - [c53]Tao Dai, Ke Gu, Zhiya Xu, Qingtao Tang, Haoyi Liang, Yongbing Zhang, Shu-Tao Xia:
Blind quality assessment of multiply-distorted images based on structural degradation. ICIP 2017: 171-175 - [c52]Tao Dai, Ke Gu, Qingtao Tang, Kwok-Wai Hung, Yongbing Zhang, Weizhi Lu, Shu-Tao Xia:
Foveated nonlocal dual denoising. ICIP 2017: 1881-1885 - [c51]Bing Yan, Haoqian Wang, Xingzheng Wang, Yongbing Zhang:
An accurate saliency prediction method based on generative adversarial networks. ICIP 2017: 2339-2343 - [c50]Yihui Feng, Xianming Liu, Yongbing Zhang, Qionghai Dai:
Single depth image super-resolution and denoising based on sparse graphs via structure tensor. ICIP 2017: 4063-4067 - 2016
- [j15]Long Xu, Jia Li, Weisi Lin, Yun Zhang, Yongbing Zhang, Yihua Yan:
Pairwise comparison and rank learning for image quality assessment. Displays 44: 21-26 (2016) - [j14]Yongbing Zhang, Long Xu, Xiangyang Ji, Qionghai Dai:
A Polynomial Approximation Motion Estimation Model for Motion-Compensated Frame Interpolation. IEEE Trans. Circuits Syst. Video Technol. 26(8): 1421-1432 (2016) - [j13]Jian Zhang, Ruiqin Xiong, Chen Zhao, Yongbing Zhang, Siwei Ma, Wen Gao:
CONCOLOR: Constrained Non-Convex Low-Rank Model for Image Deblocking. IEEE Trans. Image Process. 25(3): 1246-1259 (2016) - [j12]Yun Zhang, Xiaoxiang Yang, Xiangkai Liu, Yongbing Zhang, Gangyi Jiang, Sam Kwong:
High-Efficiency 3D Depth Coding Based on Perceptual Quality of Synthesized Video. IEEE Trans. Image Process. 25(12): 5877-5891 (2016) - [j11]Yongbing Zhang, Yulun Zhang, Jian Zhang, Qionghai Dai:
CCR: Clustering and Collaborative Representation for Fast Single Image Super-Resolution. IEEE Trans. Multim. 18(3): 405-417 (2016) - [j10]Long Xu, Weisi Lin, Lin Ma, Yongbing Zhang, Yuming Fang, King Ngi Ngan, Songnan Li, Yihua Yan:
Free-Energy Principle Inspired Video Quality Metric and Its Use in Video Coding. IEEE Trans. Multim. 18(4): 590-602 (2016) - [c49]Rongqun Lin, Yongbing Zhang, Haoqian Wang, Xingzheng Wang, Qionghai Dai:
Deep Convolutional Neural Network for Decompressed Video Enhancement. DCC 2016: 617 - [c48]Pengming Song, Weixin Jiang, Yongbing Zhang, Qionghai Dai:
Fourier ptychographic reconstruction using weighted replacement in the fourier domain. ICIP 2016: 3171-3175 - [c47]Weixin Jiang, Yongbing Zhang, Qionghai Dai:
Parameterized reconstruction based Fourier Ptychography. ICME 2016: 1-6 - [c46]Lulu Sun, Yongbing Zhang, Wangpeng An, Jingtao Fan, Jian Zhang, Haoqian Wang, Qionghai Dai:
Fast and Accurate Image Denoising via a Deep Convolutional-Pairs Network. PCM (1) 2016: 191-200 - [c45]Bing Yan, Haoqian Wang, Xingzheng Wang, Yongbing Zhang:
Depth Feature Based Accurate Saliency Detection for 3D Images. PDCAT 2016: 173-176 - [c44]Yihui Feng, Yongbing Zhang, Yulun Zhang, Tao Shen, Qionghai Dai:
Single image super-resolution via projective dictionary learning with anchored neighborhood regression. VCIP 2016: 1-4 - [c43]Tao Shen, Yulun Zhang, Yongbing Zhang, Xingzheng Wang, Haoqian Wang, Qionghai Dai:
Decompressed video enhancement via accurate regression prior. VCIP 2016: 1-4 - 2015
- [c42]Long Xu, Jia Li, Weisi Lin, Yongbing Zhang, Lin Ma, Yuming Fang, Yun Zhang, Yihua Yan:
Multi-task rank learning for image quality assessment. ICASSP 2015: 1339-1343 - [c41]Hongbo Ao, Yongbing Zhang, Qionghai Dai:
Image colorization using hybrid domain transform. ICASSP 2015: 1593-1597 - [c40]Jian Zhang, Siwei Ma, Yongbing Zhang, Wen Gao:
Image deblocking using group-based sparse representation and quantization constraint prior. ICIP 2015: 306-310 - [c39]Yulun Zhang, Kaiyu Gu, Yongbing Zhang, Jian Zhang, Qionghai Dai:
Image super-resolution based on dictionary learning and anchored neighborhood regression with mutual incoherence. ICIP 2015: 591-595 - [c38]Huijin Lv, Kaiyu Gu, Yongbing Zhang, Qionghai Dai:
Light field depth estimation exploiting linear structure in EPI. ICME Workshops 2015: 1-6 - [c37]Yulun Zhang, Yongbing Zhang, Qionghai Dai:
Single depth image super resolution via a dual sparsity model. ICME Workshops 2015: 1-6 - [c36]Yulun Zhang, Yongbing Zhang, Jian Zhang, Haoqian Wang, Qionghai Dai:
Single Image Super-Resolution via Iterative Collaborative Representation. PCM (2) 2015: 63-73 - [c35]Rongqun Lin, Yongbing Zhang, Haoqian Wang, Xingzheng Wang, Qionghai Dai:
Depth Map Upsampling via Progressive Manner Based on Probability Maximization. PCM (2) 2015: 84-93 - [c34]Zhenyuan Guo, Haoqian Wang, Kai Li, Yongbing Zhang, Xingzheng Wang, Qionghai Dai:
A Novel Edit Propagation Algorithm via L0 Gradient Minimization. PCM (1) 2015: 402-410 - [c33]Hongbo Ao, Yongbing Zhang, Adrián Jarabo, Belén Masiá, Yebin Liu, Diego Gutierrez, Qionghai Dai:
Light Field Editing Based on Reparameterization. PCM (1) 2015: 601-610 - [c32]Judong Wu, Haoqian Wang, Xingzheng Wang, Yongbing Zhang:
A novel light field super-resolution framework based on hybrid imaging system. VCIP 2015: 1-4 - [c31]Chenxue Xu, Xingzheng Wang, Haoqian Wang, Yongbing Zhang:
Accurate image specular highlight removal based on light field imaging. VCIP 2015: 1-4 - [c30]Yulun Zhang, Yongbing Zhang, Jian Zhang, Haoqian Wang, Xingzheng Wang, Qionghai Dai:
Adaptive local nonparametric regression for fast single image super-resolution. VCIP 2015: 1-4 - 2014
- [j9]Yongbing Zhang, Jian Zhang, Qionghai Dai:
Texture aided depth frame interpolation. Signal Process. Image Commun. 29(8): 864-874 (2014) - [c29]Xiu Li, Hongwei Qin, Yangang Wang, Yongbing Zhang, Qionghai Dai:
DEPT: Depth Estimation by Parameter Transfer for Single Still Images. ACCV (2) 2014: 45-58 - [c28]Haoqian Wang, Bowen Deng, Kai Li, Yongbing Zhang, Lei Zhang:
Automatic foreground extraction in video. ICASSP 2014: 6553-6557 - [c27]Haoqian Wang, Chengli Du, Xingzheng Wang, Yongbing Zhang, Lei Zhang:
Fast Disparity Estimation and Mode Decision for Multi-view Video Coding. ICMB 2014: 195-199 - [c26]Huijin Lv, Yongbing Zhang, Kai Li, Xingzheng Wang, Huiming Xuan, Qionghai Dai:
Synthesis-guided depth super resolution. VCIP 2014: 125-128 - [c25]Haoqian Wang, Xin Yuan, Xingzheng Wang, Yongbing Zhang, Qionghai Dai:
Real-time air quality estimation based on color image processing. VCIP 2014: 326-329 - [c24]Yangguang Li, Lei Zhang, Yongbing Zhang, Huiming Xuan, Qionghai Dai:
Depth map super-resolution via iterative joint-trilateral-upsampling. VCIP 2014: 386-389 - 2013
- [j8]Yongbing Zhang, Haoqian Wang, Debin Zhao:
Up-sampling oriented frame rate reduction. Signal Process. Image Commun. 28(3): 254-266 (2013) - [j7]Yongbing Zhang, Xiangyang Ji, Haoqian Wang, Qionghai Dai:
Stereo Interleaving Video Coding With Content Adaptive Image Subsampling. IEEE Trans. Circuits Syst. Video Technol. 23(7): 1097-1108 (2013) - [c23]Haoqian Wang, Yushi Tian, Yongbing Zhang:
A novel depth propagation algorithm with color guided motion estimation. VCIP 2013: 1-5 - [c22]Haoqian Wang, Mian Wu, Yongbing Zhang, Lei Zhang:
Effective stereo matching using reliable points based graph cut. VCIP 2013: 1-6 - 2012
- [j6]Yongbing Zhang, Debin Zhao, Hongbin Liu, Yongpeng Li, Siwei Ma, Wen Gao:
Side information generation with auto regressive model for low-delay distributed video coding. J. Vis. Commun. Image Represent. 23(1): 229-236 (2012) - [j5]Yongbing Zhang, Xinguang Xiang, Debin Zhao, Siwei Ma, Wen Gao:
Packet Video Error Concealment With Auto Regressive Model. IEEE Trans. Circuits Syst. Video Technol. 22(1): 12-27 (2012) - [c21]Yongbing Zhang, Xiangyang Ji, Haoqian Wang, Lei Zhang, Qionghai Dai:
Content Adaptive Subsampling for Stereo Interleaving Video Coding. DCC 2012: 179-188 - [c20]Changjun Fu, Xiangyang Ji, Yongbing Zhang, Qionghai Dai:
A Single Frame Super-Resolution Method Based on Matrix Completion. DCC 2012: 297-306 - [c19]Changjun Fu, Xiangyang Ji, Yongbing Zhang, Qionghai Dai:
Packet Video Error Concealment Based on Compressed Sensing and Regularized Least Squares. DCC 2012: 394 - [c18]Qiong Liu, Yongbing Zhang, Xiangyang Ji, Qionghai Dai:
Geometric mapping assisted multi-view depth video coding. ICASSP 2012: 1453-1456 - [c17]Qionghai Dai, Changjun Fu, Xiangyang Ji, Yongbing Zhang:
Robust joint reconstruction in compressed multi-view imaging. PCS 2012: 13-16 - 2011
- [j4]Yongbing Zhang, Debin Zhao, Jian Zhang, Ruiqin Xiong, Wen Gao:
Interpolation-Dependent Image Downsampling. IEEE Trans. Image Process. 20(11): 3291-3296 (2011) - [c16]Yongbing Zhang, Haoqian Wang, Debin Zhao:
Up-sampling Dependent Frame Rate Reduction for Low Bit-Rate Video Coding. DCC 2011: 489 - [c15]Qian Ma, Yongbing Zhang, Qiong Liu, Xiangyang Ji, Qionghai Dai:
Enhanced rate-distortion optimization for stereo interleaving video coding. IC3D 2011: 1-4 - [c14]Xiangyang Ji, Yongbing Zhang, Lu Yu, Gwo Giun Lee:
Stereoscopic video coding in AVS. VCIP 2011: 1-4 - 2010
- [j3]Yongbing Zhang, Debin Zhao, Xiangyang Ji, Ronggang Wang, Wen Gao:
Corrections to "A Spatio-Temporal Auto Regressive Model for Frame Rate Up-Conversion" [Sep 09 1289-1301]. IEEE Trans. Circuits Syst. Video Technol. 20(1): 161 (2010) - [j2]Yongbing Zhang, Debin Zhao, Siwei Ma, Ronggang Wang, Wen Gao:
A Motion-Aligned Auto-Regressive Model for Frame Rate Up Conversion. IEEE Trans. Image Process. 19(5): 1248-1258 (2010) - [c13]Yongbing Zhang, Xinguang Xiang, Siwei Ma, Debin Zhao, Wen Gao:
Auto Regressive Model and Weighted Least Squares Based Packet Video Error Concealment. DCC 2010: 455-464 - [c12]Yongbing Zhang, Li Zhang, Siwei Ma, Debin Zhao, Wen Gao:
Context-adaptive pixel based prediction for intra frame encoding. ICASSP 2010: 898-901 - [c11]Yongbing Zhang, Jian Zhang, Ruiqin Xiong, Debin Zhao, Siwei Ma:
Low bit-rate image coding via interpolation oriented adaptive down-sampling. VCIP 2010: 77441C
2000 – 2009
- 2009
- [j1]Yongbing Zhang, Debin Zhao, Xiangyang Ji, Ronggang Wang, Wen Gao:
A Spatio-Temporal Auto Regressive Model for Frame Rate Upconversion. IEEE Trans. Circuits Syst. Video Technol. 19(9): 1289-1301 (2009) - [c10]Xianming Liu, Debin Zhao, Yongbing Zhang, Siwei Ma, Qingming Huang, Wen Gao:
Joint learning for side information and correlation model based on linear regression model in distributed video coding. ICIP 2009: 2937-2940 - [c9]Jian Zhang, Siwei Ma, Yongbing Zhang, Debin Zhao:
Fast and Effective Interpolation Using Median Filter. PCM 2009: 1174-1184 - [c8]Xinfeng Zhang, Siwei Ma, Yongbing Zhang, Li Zhang, Wen Gao:
Nonlocal Edge-Directed Interpolation. PCM 2009: 1197-1207 - [c7]Xianming Liu, Yongbing Zhang, Yongpeng Li, Hongbin Liu, Siwei Ma, Debin Zhao:
Local adaptive learning and fusion for side information interpolation in distributed video coding. PCS 2009: 1-4 - [c6]Xinguang Xiang, Yongbing Zhang, Debin Zhao, Siwei Ma, Wen Gao:
A high efficient error concealment scheme based on auto-regressive model for video coding. PCS 2009: 1-4 - [c5]Yongbing Zhang, Debin Zhao, Siwei Ma, Ronggang Wang, Wen Gao:
An auto-regressive model for checkboard splitting based Wyner-Ziv coding. PCS 2009: 1-4 - 2008
- [c4]Erli Zhang, Debin Zhao, Yongbing Zhang, Hongbin Liu, Siwei Ma, Ronggang Wang:
A JND Guided Foveation Video Coding. PCM 2008: 31-39 - [c3]Jianhua Chen, Yongbing Zhang, Luhong Liang, Siwei Ma, Ronggang Wang, Wen Gao:
A No-Reference Blocking Artifacts Metric Using Selective Gradient and Plainness Measures. PCM 2008: 894-897 - 2007
- [c2]Yongbing Zhang, Debin Zhao, Xiangyang Ji, Ronggang Wang, Xilin Chen:
A Spatio-Temporal Autoregressive Frame Rate Up Conversion Scheme. ICIP (1) 2007: 441-444 - 2006
- [c1]Yongbing Zhang, Xiangyang Ji, Debin Zhao, Wen Gao:
Video Coding by Texture Analysis and Synthesis Using Graph Cut. PCM 2006: 582-589
Coauthor Index
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