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Jing Zhang 0052

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affiliation: Australian National University, Research School of Engineering, Canberra, Australia
affiliation (former): Northwestern Polytechnical University, School of Electronics and Information, Xi'an, China

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Jing Zhang — disambiguation page
Jing Zhang 0001 — Renmin University, Department of Computer Science, Beijing, China (and 1 more)
Jing Zhang 0002 — Mount Sinai School of Medicine, New York, USA
Jing Zhang 0003 — Motorola Labs (and 1 more)
Jing Zhang 0005 — University of California, Irvine, CA, USA
Jing Zhang 0006 — Clark University, MA, USA
Jing Zhang 0007 — Shanghai Jiao-Tong University, China
Jing Zhang 0008 — Panasonic R&D (and 1 more)
Jing Zhang 0009 — Xi'an University of Technology, School of Computer Science and Engineering, China
Jing Zhang 0010 (aka: Jing Maria Zhang) — Georgia State University, Department of Mathematics and Statistics, Atlanta, GA, USA (and 1 more)

Jing Zhang 0011 — Mobile Technologies, Pittsburgh, PA, USA
Jing Zhang 0012 — Tsinghua University, Institute for Theoretical Computer Science, China
Jing Zhang 0013 — North Carolina Agricultural and Technical State University, Greensboro, NC, USA (and 3 more)
Jing Zhang 0014 — Hunan Institute of Science and Technology, College of Physics and Electronics, Yueyang, China (and 1 more)
Jing Zhang 0015 — Southeast University, Nanjing, China (and 3 more)
Jing Zhang 0017 — Beihang University, Beijing, China (and 1 more)
Jing Zhang 0018 — Beijing Union University, Basic Courses Department, China
Jing Zhang 0019 — Beihang University, Beijing Advanced Innovation Center for Biomedical Engineering, China (and 3 more)
Jing Zhang 0020 — Xi'an Jiaotong University, Frontier Institute of Science and Techonology, China (and 1 more)
Jing Zhang 0021 — Chinese Academy of Sciences, Institute of Remote Sensing and Digital Earth, Beijing, China
Jing Zhang 0022 — Guizhou University, School of Electrical Engineering, Guiyang, China (and 1 more)
Jing Zhang 0023 — Beijing University of Technology, Faculty of Information Technology, Signal and Information Processing Laboratory, China (and 1 more)
Jing Zhang 0024 — Anhui University, School of Computer Science and Technology, Hefei, China
Jing Zhang 0025 — Huazhong University of Science and Technology, School of Electronic Information and Communications, Wuhan, China (and 1 more)
Jing Zhang 0026 — Wuhan University, School of Mathematics and Statistics, China
Jing Zhang 0027 — University of Michigan, Department of Electrical Engineering and Computer Science, Ann Arbor, MI, USA
Jing Zhang 0028 — Dalian University of Technology, School of Computer Science and Technology, China
Jing Zhang 0029 — Gyeongsang National University, Department of Computer Science, Korea (and 1 more)
Jing Zhang 0030 — Boston University, Division of Systems Engineering, MA, USA
Jing Zhang 0031 — Southeast University, National Mobile Communications Research Laboratory, Nanjing, China
Jing Zhang 0032 — Changchun University of Science and Technology, College of Computer Science and Technology, China (and 1 more)
Jing Zhang 0033 — Beijing Normal University, State Key Laboratory of Cognitive Neuroscience and Learning / IDG/McGovern Institute for Brain Research, China
Jing Zhang 0034 — Harbin Engineering University, Computer Science and Technology, China (and 1 more)
Jing Zhang 0035 — Qingdao University of Science and Technology, School of Mathematics and Physics, China (and 1 more)
Jing Zhang 0036 — Tsinghua University, Department of Computer Science and Technology, Beijing, China
Jing Zhang 0037 — University of Sydney, School of Computer Science, Faculty of Engineering, UBTECH Sydney Artificial Intelligence Centre, NSW, Australia (and 4 more)
Jing Zhang 0038 — Tianjin University, School of Electrical and Information Engineering, China
Jing Zhang 0039 — Virginia Tech, Department of Computer Science, Blacksburg, VA, USA
Jing Zhang 0040 — Fujian University of Technology, College of Information Science and Engineering, Fujian Provincial Key Laboratory of Big Data Mining and Applications, Fuzhou, China
Jing Zhang 0041 — East China University of Science and Technology, Department of Computer Science and Engineering, Shanghai, China (and 1 more)
Jing Zhang 0042 — Tsinghua University, Department of Automation, Beijing, China
Jing Zhang 0043 — University of Electronic Science and Technology of China, School of Optoelectronic Information, MOEMIL Laboratory, Chengdu, China
Jing Zhang 0044 — University of California, San Diego, Department of Biomedical Informatics, CA, USA
Jing Zhang 0045 — Southwest Jiaotong University, School of Electrical Engineering, Chengdu, China
Jing Zhang 0046 — University of Electronic Science and Technology of China, School of Communication and Information Engineering, MOE Key Laboratory of Optical Fiber Sensing and Communications, Chengdu, China
Jing Zhang 0047 — Wuhan University, LIEMARS, China
Jing Zhang 0048 — Petrochina, Research Institute of Petroleum Exploration and Development, Sichuan Basin Research Center, Beijing, China
Jing Zhang 0049 — Northwestern Polytechnical University, School of Computer Science, Xi'an, China
Jing Zhang 0050 — Lamar University, Department of Computer Science, Beaumont, TX, USA
Jing Zhang 0051 — Sichuan University, College of Electrical Engineering and Information Technology, China
Jing Zhang 0053 — Duke University, Department of Radiology, Durham, NC, USA (and 1 more)
Jing Zhang 0054 — Xidian University, School of Telecommunications Engineering, State Key Laboratory of Integrated Services Networks, Xi'an, China (and 1 more)
Jing Zhang 0055 — University of Macau, Department of Portuguese, Taipa, Macau
Jing Zhang 0056 — University of Science and Technology Beijing, School of Computer and Communication Engineering, China
Jing Zhang 0057 — Xi'an University of Science and Technology, China (and 1 more)
Jing Zhang 0058 — Beijing Jiaotong University, Beijing Key Lab of Traffic Data Analysis and Mining, China
Jing Zhang 0059 — Shanghai Business School, Faculty of Business Information, China
Jing Zhang 0060 — Wuhan University, LISMARS, China
Jing Zhang 0061 — Zhengzhou University of Light Industry, School of Computer and Communication Engineering, China
Jing Zhang 0062 — Department of Computer Science, University of California, Irvine, CA, USA (and 1 more)
Jing Zhang 0063 — Capital Normal University, College of Resources Environment and Tourism, Beijing, China (and 1 more)
Jing Zhang 0064 — National University of Defense Technology, College of Liberal Arts and Sciences, Changsha, China
Jing Zhang 0065 — Nanjing University of Information Science and Technology, School of Computer and Software, China
Jing Zhang 0066 — Beijing Jiaotong University, Institute of Lightwave Technology, China
Jing Zhang 0067 — Beihang University, Department of Automation Science and Electrical Engineering, Beijing, China
Jing Zhang 0068 — Harbin Institute of Technology, School of Electrical Engineering and Automation, China
Jing Zhang 0069 — Beijing Jiaotong University, School of Electronic and Information Engineering, Frontiers Science Center for Smart High-speed Railway System, China
Jing Zhang 0070 — University of Science and Technology of China, School of Management, Hefei, China
Jing Zhang 0071 — University of Sangmyung, Department of Emotion Engineering, Seoul, South Korea
Jing Zhang 0072 — Chang'an University, College of Geology Engineering and Geomatics, Xi'an, China (and 1 more)
Jing Zhang 0073 — Harbin Engineering University, College of Information and Communication Engineering, China
Jing Zhang 0074 — Zhengzhou Preschool Education College, China
Jing Zhang 0075 — Jilin University of Architecture and Technology, Basic Science Department, Changchun, China
Jing Zhang 0076 — Southeast University, School of Cyber Sciences and Engineering, Nanjing, China
Jing Zhang 0077 — Hainan University, School of Information and Communication Engineering, Haikou, China
Jing Zhang 0078 — Anhui University of Finance and Economics, School of Finance, Bengbu, China (and 1 more)
Jing Zhang 0079 — Lanzhou University, School of Economic, China
Jing Zhang 0080 — Beijing University of Technology, Faculty of Architecture, Civil and Transportation Engineering, China (and 1 more)
Jing Zhang 0082 — Panzhihua University, School of Mathematics and Computer Science, China (and 1 more)
Jing Zhang 0083 — Harbin Engineering University, College of Computer Science and Technology, China (and 3 more)
Jing Zhang 0084 — Hebei University of Technology, School of Economics and Management, Tianjin, China
Jing Zhang 0085 — Nanjing University of Science and Technology, School of Automation, China
Jing Zhang 0086 — Normandie University, INSA Rouen, France
Jing Zhang 0087 — University of Michigan, Computer Science and Engineering, MI, USA
Jing Zhang 0088 — Wuhan University of Technology, Department of Computer Science, China

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2020 – today

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2024
[j21]
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Tao Gao, Yuanbo Wen, Jing Zhang, Ting Chen:
A novel dual-stage progressive enhancement network for single image deraining. Eng. Appl. Artif. Intell. 128: 107411 (2024)
[j20]
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Ge-Peng Ji, Jing Zhang, Dylan Campbell, Huan Xiong, Nick Barnes:
Rethinking Polyp Segmentation From An Out-of-distribution Perspective. Mach. Intell. Res. 21(4): 631-639 (2024)
[j19]
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Peipei Song, Wenyu Li, Peiyan Zhong, Jing Zhang, Piotr Koniusz, Feng Duan, Nick Barnes:
Synergizing triple attention with depth quality for RGB-D salient object detection. Neurocomputing 589: 127672 (2024)
[j18]
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Tao Gao, Zixiang Liu, Guiping Wu, Ziqi Li, Yuanbo Wen, Lidong Liu, Ting Chen, Jing Zhang:
A Self-Supplementary and Revised Network for Remote Sensing Object Detection. IEEE Geosci. Remote. Sens. Lett. 21: 1-5 (2024)
[j17]
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Yuanbo Wen, Tao Gao, Jing Zhang, Kaihao Zhang, Ting Chen:
From heavy rain removal to detail restoration: A faster and better network. Pattern Recognit. 148: 110205 (2024)
[j16]
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Aixuan Li, Yuxin Mao, Jing Zhang, Yuchao Dai:
Mutual Information Regularization for Weakly-Supervised RGB-D Salient Object Detection. IEEE Trans. Circuits Syst. Video Technol. 34(1): 397-410 (2024)
[j15]
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Tao Gao, Yuanbo Wen, Kaihao Zhang, Jing Zhang, Ting Chen, Lidong Liu, Wenhan Luo:
Frequency-Oriented Efficient Transformer for All-in-One Weather-Degraded Image Restoration. IEEE Trans. Circuits Syst. Video Technol. 34(3): 1886-1899 (2024)
[j14]
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Yunqiu Lv, Jing Zhang, Nick Barnes, Yuchao Dai:
Weakly-Supervised Contrastive Learning for Unsupervised Object Discovery. IEEE Trans. Image Process. 33: 2689-2702 (2024)
[c39]
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Nilakshan Kunananthaseelan, Jing Zhang, Mehrtash Harandi:
LaViP: Language-Grounded Visual Prompting. AAAI 2024: 2840-2848
[c38]
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Zhaoyuan Yang, Zhiwei Xu, Jing Zhang, Richard I. Hartley, Peter H. Tu:
Adversarial Purification with the Manifold Hypothesis. AAAI 2024: 16379-16387
[c37]
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Yuanbo Wen, Tao Gao, Ziqi Li, Jing Zhang, Ting Chen:
Encoder-Minimal and Decoder-Minimal Framework for Remote Sensing Image Dehazing. ICASSP 2024: 36-40
[c36]
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Xinlei Niu, Jing Zhang, Christian Walder, Charles Patrick Martin:
SoundLoCD: An Efficient Conditional Discrete Contrastive Latent Diffusion Model for Text-to-Sound Generation. ICASSP 2024: 261-265
[c35]
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  - conf/icassp/Wen0L0024
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Yuanbo Wen, Tao Gao, Ziqi Li, Jing Zhang, Ting Chen:
Multi-Dimension Queried and Interacting Network for Stereo Image Deraining. ICASSP 2024: 3225-3229
[c34]
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Zhaoyuan Yang, Zhengyang Yu, Zhiwei Xu, Jaskirat Singh, Jing Zhang, Dylan Campbell, Peter H. Tu, Richard Hartley:
IMPUS: Image Morphing with Perceptually-Uniform Sampling Using Diffusion Models. ICLR 2024
[c33]
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Xinlei Niu, Christian Walder, Jing Zhang, Charles Patrick Martin:
Latent Optimal Paths by Gumbel Propagation for Variational Bayesian Dynamic Programming. ICML 2024
[c32]
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Yuxin Mao, Xuyang Shen, Jing Zhang, Zhen Qin, Jinxing Zhou, Mochu Xiang, Yiran Zhong, Yuchao Dai:
TAVGBench: Benchmarking Text to Audible-Video Generation. ACM Multimedia 2024: 6607-6616
[i62]
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  - journals/corr/abs-2403-11150
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Jing Zhang, Liang Zheng, Dan Guo, Meng Wang:
Training A Small Emotional Vision Language Model for Visual Art Comprehension. CoRR abs/2403.11150 (2024)
[i61]
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  - journals/corr/abs-2403-14821
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Peipei Song, Jing Zhang, Piotr Koniusz, Nick Barnes:
Learning Gaussian Representation for Eye Fixation Prediction. CoRR abs/2403.14821 (2024)
[i60]
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  - journals/corr/abs-2404-14381
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Yuxin Mao, Xuyang Shen, Jing Zhang, Zhen Qin, Jinxing Zhou, Mochu Xiang, Yiran Zhong, Yuchao Dai:
TAVGBench: Benchmarking Text to Audible-Video Generation. CoRR abs/2404.14381 (2024)
[i59]
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  - journals/corr/abs-2404-15637
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Xinlei Niu, Jing Zhang, Charles Patrick Martin:
HybridVC: Efficient Voice Style Conversion with Text and Audio Prompts. CoRR abs/2404.15637 (2024)
[i58]
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  - journals/corr/abs-2405-15338
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Xinlei Niu, Jing Zhang, Christian Walder, Charles Patrick Martin:
SoundLoCD: An Efficient Conditional Discrete Contrastive Latent Diffusion Model for Text-to-Sound Generation. CoRR abs/2405.15338 (2024)
[i57]
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  - journals/corr/abs-2405-21022
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Zhen Qin, Yuxin Mao, Xuyang Shen, Dong Li, Jing Zhang, Yuchao Dai, Yiran Zhong:
You Only Scan Once: Efficient Multi-dimension Sequential Modeling with LightNet. CoRR abs/2405.21022 (2024)
[i56]
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  - journals/corr/abs-2410-02144
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Xinlei Niu, Jing Zhang, Charles Patrick Martin:
SoundMorpher: Perceptually-Uniform Sound Morphing with Diffusion Model. CoRR abs/2410.02144 (2024)
2023
[j13]
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Peter H. Tu, Zhaoyuan Yang, Richard I. Hartley, Zhiwei Xu, Jing Zhang, Yiwei Fu, Dylan Campbell, Jaskirat Singh, Tianyu Wang:
Probabilistic and semantic descriptions of image manifolds and their applications. Frontiers Comput. Sci. 5 (2023)
[j12]
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  - journals/iet-ipr/KongGCZ23
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Xiaolin Kong, Tao Gao, Ting Chen, Jing Zhang:
Progressive dilation dense residual fusion network for single-image deraining. IET Image Process. 17(14): 4102-4115 (2023)
[j11]
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  - journals/pami/FanZXCS23
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Deng-Ping Fan, Jing Zhang, Gang Xu, Ming-Ming Cheng, Ling Shao:
Salient Objects in Clutter. IEEE Trans. Pattern Anal. Mach. Intell. 45(2): 2344-2366 (2023)
[j10]
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Jing Zhang, Jianwen Xie, Nick Barnes, Ping Li:
An Energy-Based Prior for Generative Saliency. IEEE Trans. Pattern Anal. Mach. Intell. 45(11): 13100-13116 (2023)
[j9]
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Yunqiu Lv, Jing Zhang, Yuchao Dai, Aixuan Li, Nick Barnes, Deng-Ping Fan:
Toward Deeper Understanding of Camouflaged Object Detection. IEEE Trans. Circuits Syst. Video Technol. 33(7): 3462-3476 (2023)
[j8]
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  - journals/tgrs/0001L0W023
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Tao Gao, Zixiang Liu, Jing Zhang, Guiping Wu, Ting Chen:
A Task-Balanced Multiscale Adaptive Fusion Network for Object Detection in Remote Sensing Images. IEEE Trans. Geosci. Remote. Sens. 61: 1-15 (2023)
[j7]
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Tao Gao, Qianqian Niu, Jing Zhang, Ting Chen, Shaohui Mei, Ahmad Jubair:
Global to Local: A Scale-Aware Network for Remote Sensing Object Detection. IEEE Trans. Geosci. Remote. Sens. 61: 1-14 (2023)
[j6]
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Yuanbo Wen, Tao Gao, Jing Zhang, Ziqi Li, Ting Chen:
Encoder-Free Multiaxis Physics-Aware Fusion Network for Remote Sensing Image Dehazing. IEEE Trans. Geosci. Remote. Sens. 61: 1-15 (2023)
[j5]
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Yi Zhang, Jing Zhang, Wassim Hamidouche, Olivier Déforges:
Predictive Uncertainty Estimation for Camouflaged Object Detection. IEEE Trans. Image Process. 32: 3580-3591 (2023)
[c31]
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  - conf/cvpr/TianZXD23
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Xinyu Tian, Jing Zhang, Mochu Xiang, Yuchao Dai:
Modeling the Distributional Uncertainty for Salient Object Detection Models. CVPR 2023: 19660-19670
[c30]
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Yuxin Mao, Jing Zhang, Mochu Xiang, Yiran Zhong, Yuchao Dai:
Multimodal Variational Auto-encoder based Audio-Visual Segmentation. ICCV 2023: 954-965
[c29]
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Jiawei Liu, Changkun Ye, Shan Wang, Ruikai Cui, Jing Zhang, Kaihao Zhang, Nick Barnes:
Model Calibration in Dense Classification with Adaptive Label Perturbation. ICCV 2023: 1173-1184
[c28]
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Zhexiong Wan, Yuxin Mao, Jing Zhang, Yuchao Dai:
RPEFlow: Multimodal Fusion of RGB-PointCloud-Event for Joint Optical Flow and Scene Flow Estimation. ICCV 2023: 9996-10006
[c27]
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Ruikai Cui, Shi Qiu, Saeed Anwar, Jiawei Liu, Chaoyue Xing, Jing Zhang, Nick Barnes:
P2C: Self-Supervised Point Cloud Completion from Single Partial Clouds. ICCV 2023: 14305-14314
[i55]
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  - journals/corr/abs-2301-13190
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Jinxing Zhou, Xuyang Shen, Jianyuan Wang, Jiayi Zhang, Weixuan Sun, Jing Zhang, Stan Birchfield, Dan Guo, Lingpeng Kong, Meng Wang, Yiran Zhong:
Audio-Visual Segmentation with Semantics. CoRR abs/2301.13190 (2023)
[i54]
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Siyuan Yan, Jing Zhang, Nick Barnes:
Transmission-Guided Bayesian Generative Model for Smoke Segmentation. CoRR abs/2303.00900 (2023)
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Xinlei Niu, Christian Walder, Jing Zhang, Charles Patrick Martin:
Latent Optimal Paths by Gumbel Propagation for Variational Bayesian Dynamic Programming. CoRR abs/2306.02568 (2023)
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Aixuan Li, Yuxin Mao, Jing Zhang, Yuchao Dai:
Mutual Information Regularization for Weakly-supervised RGB-D Salient Object Detection. CoRR abs/2306.03630 (2023)
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Ge-Peng Ji, Jing Zhang, Dylan Campbell, Huan Xiong, Nick Barnes:
Rethinking Polyp Segmentation from an Out-of-Distribution Perspective. CoRR abs/2306.07792 (2023)
[i50]
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Peter H. Tu, Zhaoyuan Yang, Richard I. Hartley, Zhiwei Xu, Jing Zhang, Dylan Campbell, Jaskirat Singh, Tianyu Wang:
Probabilistic and Semantic Descriptions of Image Manifolds and Their Applications. CoRR abs/2307.02881 (2023)
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Yunqiu Lv, Jing Zhang, Nick Barnes, Yuchao Dai:
Weakly-supervised Contrastive Learning for Unsupervised Object Discovery. CoRR abs/2307.03376 (2023)
[i48]
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Aixuan Li, Jing Zhang, Yunqiu Lv, Tong Zhang, Yiran Zhong, Mingyi He, Yuchao Dai:
Joint Salient Object Detection and Camouflaged Object Detection via Uncertainty-aware Learning. CoRR abs/2307.04651 (2023)
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Mochu Xiang, Jing Zhang, Nick Barnes, Yuchao Dai:
Measuring and Modeling Uncertainty Degree for Monocular Depth Estimation. CoRR abs/2307.09929 (2023)
[i46]
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Jiawei Liu, Changkun Ye, Shan Wang, Ruikai Cui, Jing Zhang, Kaihao Zhang, Nick Barnes:
Model Calibration in Dense Classification with Adaptive Label Perturbation. CoRR abs/2307.13539 (2023)
[i45]
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  - journals/corr/abs-2307-14726
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Ruikai Cui, Shi Qiu, Saeed Anwar, Jiawei Liu, Chaoyue Xing, Jing Zhang, Nick Barnes:
P2C: Self-Supervised Point Cloud Completion from Single Partial Clouds. CoRR abs/2307.14726 (2023)
[i44]
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Mengqi He, Jing Zhang, Zhaoyuan Yang, Mingyi He, Nick Barnes, Yuchao Dai:
Transferable Attack for Semantic Segmentation. CoRR abs/2307.16572 (2023)
[i43]
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Yuxin Mao, Jing Zhang, Mochu Xiang, Yunqiu Lv, Yiran Zhong, Yuchao Dai:
Contrastive Conditional Latent Diffusion for Audio-visual Segmentation. CoRR abs/2307.16579 (2023)
[i42]
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Yuanbo Wen, Tao Gao, Ziqi Li, Jing Zhang, Ting Chen:
Multi-dimension Queried and Interacting Network for Stereo Image Deraining. CoRR abs/2309.10319 (2023)
[i41]
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Zhexiong Wan, Yuxin Mao, Jing Zhang, Yuchao Dai:
RPEFlow: Multimodal Fusion of RGB-PointCloud-Event for Joint Optical Flow and Scene Flow Estimation. CoRR abs/2309.15082 (2023)
[i40]
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Yuxin Mao, Jing Zhang, Mochu Xiang, Yiran Zhong, Yuchao Dai:
Multimodal Variational Auto-encoder based Audio-Visual Segmentation. CoRR abs/2310.08303 (2023)
[i39]
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Zhaoyuan Yang, Zhengyang Yu, Zhiwei Xu, Jaskirat Singh, Jing Zhang, Dylan Campbell, Peter H. Tu, Richard I. Hartley:
IMPUS: Image Morphing with Perceptually-Uniform Sampling Using Diffusion Models. CoRR abs/2311.06792 (2023)
[i38]
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Yuanbo Wen, Tao Gao, Ziqi Li, Jing Zhang, Ting Chen:
Encoder-minimal and Decoder-minimal Framework for Remote Sensing Image Dehazing. CoRR abs/2312.07849 (2023)
[i37]
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Nilakshan Kunananthaseelan, Jing Zhang, Mehrtash Harandi:
LaViP: Language-Grounded Visual Prompts. CoRR abs/2312.10945 (2023)
2022
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Jing Zhang, Deng-Ping Fan, Yuchao Dai, Saeed Anwar, Fatemeh Sadat Saleh, Sadegh Aliakbarian, Nick Barnes:
Uncertainty Inspired RGB-D Saliency Detection. IEEE Trans. Pattern Anal. Mach. Intell. 44(9): 5761-5779 (2022)
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Yunqiu Lv, Bowen Liu, Jing Zhang, Yuchao Dai, Aixuan Li, Tong Zhang:
Semi-supervised Active Salient Object Detection. Pattern Recognit. 123: 108364 (2022)
[j2]
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Yunqiu Xu, Xin Yu, Jing Zhang, Linchao Zhu, Dadong Wang:
Weakly Supervised RGB-D Salient Object Detection With Prediction Consistency Training and Active Scribble Boosting. IEEE Trans. Image Process. 31: 2148-2161 (2022)
[c26]
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Siyuan Yan, Jing Zhang, Nick Barnes:
Transmission-Guided Bayesian Generative Model for Smoke Segmentation. AAAI 2022: 3009-3017
[c25]
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Jing Zhang, Jianwen Xie, Zilong Zheng, Nick Barnes:
Energy-Based Generative Cooperative Saliency Prediction. AAAI 2022: 3280-3290
[c24]
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  - conf/accv/TianZD22
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Xinyu Tian, Jing Zhang, Yuchao Dai:
A General Divergence Modeling Strategy for Salient Object Detection. ACCV (7) 2022: 291-309
[c23]
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Ruikai Cui, Shi Qiu, Saeed Anwar, Jing Zhang, Nick Barnes:
Energy-Based Residual Latent Transport for Unsupervised Point Cloud Completion. BMVC 2022: 48
[c22]
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Jinxing Zhou, Jianyuan Wang, Jiayi Zhang, Weixuan Sun, Jing Zhang, Stan Birchfield, Dan Guo, Lingpeng Kong, Meng Wang, Yiran Zhong:
Audio-Visual Segmentation. ECCV (37) 2022: 386-403
[c21]
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Peipei Song, Jing Zhang, Piotr Koniusz, Nick Barnes:
Multi-Modal Transformer for RGB-D Salient Object Detection. ICIP 2022: 2466-2470
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Jiawei Liu, Jing Zhang, Nick Barnes:
Modeling Aleatoric Uncertainty for Camouflaged Object Detection. WACV 2022: 2613-2622
[c19]
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Weixuan Sun, Jing Zhang, Nick Barnes:
Inferring the Class Conditional Response Map for Weakly Supervised Semantic Segmentation. WACV 2022: 2653-2662
[i36]
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Jing Zhang, Jianwen Xie, Nick Barnes, Ping Li:
An Energy-Based Prior for Generative Saliency. CoRR abs/2204.08803 (2022)
[i35]
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Tao Gao, Yuanbo Wen, Jing Zhang, Kaihao Zhang, Ting Chen:
From Heavy Rain Removal to Detail Restoration: A Faster and Better Network. CoRR abs/2205.03553 (2022)
[i34]
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  - journals/corr/abs-2205-11333
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Yunqiu Lv, Jing Zhang, Yuchao Dai, Aixuan Li, Nick Barnes, Deng-Ping Fan:
Towards Deeper Understanding of Camouflaged Object Detection. CoRR abs/2205.11333 (2022)
[i33]
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  - journals/corr/abs-2207-05042
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Jinxing Zhou, Jianyuan Wang, Jiayi Zhang, Weixuan Sun, Jing Zhang, Stan Birchfield, Dan Guo, Lingpeng Kong, Meng Wang, Yiran Zhong:
Audio-Visual Segmentation. CoRR abs/2207.05042 (2022)
[i32]
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  - journals/corr/abs-2208-09668
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Jiawei Liu, Jing Zhang, Kaihao Zhang, Nick Barnes:
Generalised Co-Salient Object Detection. CoRR abs/2208.09668 (2022)
[i31]
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Zhaoyuan Yang, Zhiwei Xu, Jing Zhang, Richard I. Hartley, Peter H. Tu:
Adaptive Test-Time Defense with the Manifold Hypothesis. CoRR abs/2210.14404 (2022)
[i30]
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Ruikai Cui, Shi Qiu, Saeed Anwar, Jing Zhang, Nick Barnes:
Energy-Based Residual Latent Transport for Unsupervised Point Cloud Completion. CoRR abs/2211.06820 (2022)
2021
[j1]
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Jing Zhang, Yuchao Dai, Tong Zhang, Mehrtash Harandi, Nick Barnes, Richard Hartley:
Learning Saliency From Single Noisy Labelling: A Robust Model Fitting Perspective. IEEE Trans. Pattern Anal. Mach. Intell. 43(8): 2866-2873 (2021)
[c18]
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Aixuan Li, Jing Zhang, Yunqiu Lv, Bowen Liu, Tong Zhang, Yuchao Dai:
Uncertainty-Aware Joint Salient Object and Camouflaged Object Detection. CVPR 2021: 10071-10081
[c17]
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Yunqiu Lv, Jing Zhang, Yuchao Dai, Aixuan Li, Bowen Liu, Nick Barnes, Deng-Ping Fan:
Simultaneously Localize, Segment and Rank the Camouflaged Objects. CVPR 2021: 11591-11601
[c16]
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Wangbo Zhao, Jing Zhang, Long Li, Nick Barnes, Nian Liu, Junwei Han:
Weakly Supervised Video Salient Object Detection. CVPR 2021: 16826-16835
[c15]
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Jing Zhang, Deng-Ping Fan, Yuchao Dai, Xin Yu, Yiran Zhong, Nick Barnes, Ling Shao:
RGB-D Saliency Detection via Cascaded Mutual Information Minimization. ICCV 2021: 4318-4327
[c14]
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Jiawei Liu, Jing Zhang, Yicong Hong, Nick Barnes:
Learning structure-aware semantic segmentation with image-level supervision. IJCNN 2021: 1-8
[c13]
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Jing Zhang, Jianwen Xie, Nick Barnes, Ping Li:
Learning Generative Vision Transformer with Energy-Based Latent Space for Saliency Prediction. NeurIPS 2021: 15448-15463
[i29]
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Yunqiu Lyu, Jing Zhang, Yuchao Dai, Aixuan Li, Bowen Liu, Nick Barnes, Deng-Ping Fan:
Simultaneously Localize, Segment and Rank the Camouflaged Objects. CoRR abs/2103.04011 (2021)
[i28]
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Wangbo Zhao, Jing Zhang, Long Li, Nick Barnes, Nian Liu, Junwei Han:
Weakly Supervised Video Salient Object Detection. CoRR abs/2104.02391 (2021)
[i27]
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Aixuan Li, Jing Zhang, Yunqiu Lv, Bowen Liu, Tong Zhang, Yuchao Dai:
Uncertainty-aware Joint Salient Object and Camouflaged Object Detection. CoRR abs/2104.02628 (2021)
[i26]
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Jiawei Liu, Jing Zhang, Yicong Hong, Nick Barnes:
Learning structure-aware semantic segmentation with image-level supervision. CoRR abs/2104.07216 (2021)
[i25]
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  - journals/corr/abs-2104-10127
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Yuxin Mao, Jing Zhang, Zhexiong Wan, Yuchao Dai, Aixuan Li, Yunqiu Lv, Xinyu Tian, Deng-Ping Fan, Nick Barnes:
Transformer Transforms Salient Object Detection and Camouflaged Object Detection. CoRR abs/2104.10127 (2021)
[i24]
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Deng-Ping Fan, Jing Zhang, Gang Xu, Ming-Ming Cheng, Ling Shao:
Salient Objects in Clutter. CoRR abs/2105.03053 (2021)
[i23]
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Yi Zhang, Lu Zhang, Jing Zhang, Kang Wang, Wassim Hamidouche, Olivier Déforges:
SHD360: A Benchmark Dataset for Salient Human Detection in 360° Videos. CoRR abs/2105.11578 (2021)
[i22]
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Jiajun Zha, Yiran Zhong, Jing Zhang, Richard Hartley, Liang Zheng:
Invertible Attention. CoRR abs/2106.09003 (2021)
[i21]
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Jiawei Liu, Jing Zhang, Nick Barnes:
Confidence-Aware Learning for Camouflaged Object Detection. CoRR abs/2106.11641 (2021)
[i20]
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  - journals/corr/abs-2106-13217
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Jing Zhang, Yunqiu Lv, Mochu Xiang, Aixuan Li, Yuchao Dai, Yiran Zhong:
Depth-Guided Camouflaged Object Detection. CoRR abs/2106.13217 (2021)
[i19]
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  - journals/corr/abs-2106-13389
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Jing Zhang, Jianwen Xie, Zilong Zheng, Nick Barnes:
Energy-Based Generative Cooperative Saliency Prediction. CoRR abs/2106.13389 (2021)
[i18]
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  - journals/corr/abs-2109-07246
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Jing Zhang, Deng-Ping Fan, Yuchao Dai, Xin Yu, Yiran Zhong, Nick Barnes, Ling Shao:
RGB-D Saliency Detection via Cascaded Mutual Information Minimization. CoRR abs/2109.07246 (2021)
[i17]
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  - journals/corr/abs-2110-06427
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Jing Zhang, Yuchao Dai, Mochu Xiang, Deng-Ping Fan, Peyman Moghadam, Mingyi He, Christian Walder, Kaihao Zhang, Mehrtash Harandi, Nick Barnes:
Dense Uncertainty Estimation. CoRR abs/2110.06427 (2021)
[i16]
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  - journals/corr/abs-2110-14309
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Weixuan Sun, Jing Zhang, Nick Barnes:
Inferring the Class Conditional Response Map for Weakly Supervised Semantic Segmentation. CoRR abs/2110.14309 (2021)
[i15]
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  - journals/corr/abs-2111-11055
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Jing Zhang, Yuchao Dai, Mehrtash Harandi, Yiran Zhong, Nick Barnes, Richard Hartley:
Dense Uncertainty Estimation via an Ensemble-based Conditional Latent Variable Model. CoRR abs/2111.11055 (2021)
[i14]
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  - journals/corr/abs-2111-11827
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Xinyu Tian, Jing Zhang, Yuchao Dai:
A General Divergence Modeling Strategy for Salient Object Detection. CoRR abs/2111.11827 (2021)
[i13]
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  - journals/corr/abs-2112-02841
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Weixuan Sun, Jing Zhang, Zheyuan Liu, Yiran Zhong, Nick Barnes:
GETAM: Gradient-weighted Element-wise Transformer Attention Map for Weakly-supervised Semantic segmentation. CoRR abs/2112.02841 (2021)
[i12]
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  - journals/corr/abs-2112-13528
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Jing Zhang, Jianwen Xie, Nick Barnes, Ping Li:
Learning Generative Vision Transformer with Energy-Based Latent Space for Saliency Prediction. CoRR abs/2112.13528 (2021)
[i11]
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  - journals/corr/abs-2112-14019
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Jiawei Liu, Jing Zhang, Nick Barnes:
Semi-supervised Salient Object Detection with Effective Confidence Estimation. CoRR abs/2112.14019 (2021)
2020
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  - conf/accv/SunZB20
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Weixuan Sun, Jing Zhang, Nick Barnes:
3D Guided Weakly Supervised Semantic Segmentation. ACCV (1) 2020: 585-602
[c11]
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  - conf/cvpr/ZhangFDASZB20
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Jing Zhang, Deng-Ping Fan, Yuchao Dai, Saeed Anwar, Fatemeh Sadat Saleh, Tong Zhang, Nick Barnes:
UC-Net: Uncertainty Inspired RGB-D Saliency Detection via Conditional Variational Autoencoders. CVPR 2020: 8579-8588
[c10]
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Jing Zhang, Xin Yu, Aixuan Li, Peipei Song, Bowen Liu, Yuchao Dai:
Weakly-Supervised Salient Object Detection via Scribble Annotations. CVPR 2020: 12543-12552
[c9]
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  - conf/eccv/ZhangXB20
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Jing Zhang, Jianwen Xie, Nick Barnes:
Learning Noise-Aware Encoder-Decoder from Noisy Labels by Alternating Back-Propagation for Saliency Detection. ECCV (17) 2020: 349-366
[i10]
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  - journals/corr/abs-2003-07685
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Jing Zhang, Xin Yu, Aixuan Li, Peipei Song, Bowen Liu, Yuchao Dai:
Weakly-Supervised Salient Object Detection via Scribble Annotations. CoRR abs/2003.07685 (2020)
[i9]
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  - journals/corr/abs-2004-05763
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Jing Zhang, Deng-Ping Fan, Yuchao Dai, Saeed Anwar, Fatemeh Sadat Saleh, Tong Zhang, Nick Barnes:
UC-Net: Uncertainty Inspired RGB-D Saliency Detection via Conditional Variational Autoencoders. CoRR abs/2004.05763 (2020)
[i8]
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  - journals/corr/abs-2007-12211
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Jing Zhang, Jianwen Xie, Nick Barnes:
Learning Noise-Aware Encoder-Decoder from Noisy Labels by Alternating Back-Propagation for Saliency Detection. CoRR abs/2007.12211 (2020)
[i7]
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  - journals/corr/abs-2009-03075
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Jing Zhang, Deng-Ping Fan, Yuchao Dai, Saeed Anwar, Fatemeh Sadat Saleh, Sadegh Aliakbarian, Nick Barnes:
Uncertainty Inspired RGB-D Saliency Detection. CoRR abs/2009.03075 (2020)
[i6]
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  - journals/corr/abs-2012-00242
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Weixuan Sun, Jing Zhang, Nick Barnes:
3D Guided Weakly Supervised Semantic Segmentation. CoRR abs/2012.00242 (2020)
[i5]
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  - journals/corr/abs-2012-06020
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Jing Zhang, Yuchao Dai, Xin Yu, Mehrtash Harandi, Nick Barnes, Richard I. Hartley:
Uncertainty-Aware Deep Calibrated Salient Object Detection. CoRR abs/2012.06020 (2020)

2010 – 2019

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2019
[c8]
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Hongguang Zhang, Jing Zhang, Piotr Koniusz:
Few-Shot Learning via Saliency-Guided Hallucination of Samples. CVPR 2019: 2770-2779
[i4]
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  - journals/corr/abs-1904-03472
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Hongguang Zhang, Jing Zhang, Piotr Koniusz:
Few-Shot Learning via Saliency-guided Hallucination of Samples. CoRR abs/1904.03472 (2019)
2018
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Jing Zhang, Tong Zhang, Yuchao Dai, Mehrtash Harandi, Richard I. Hartley:
Deep Unsupervised Saliency Detection: A Multiple Noisy Labeling Perspective. CVPR 2018: 9029-9038
[i3]
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  - journals/corr/abs-1803-10910
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Jing Zhang, Tong Zhang, Yuchao Dai, Mehrtash Harandi, Richard I. Hartley:
Deep Unsupervised Saliency Detection: A Multiple Noisy Labeling Perspective. CoRR abs/1803.10910 (2018)
2017
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  - conf/apsipa/ZhangDPH17
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Jing Zhang, Yuchao Dai, Fatih Porikli, Mingyi He:
Multi-scale salient object detection with pyramid spatial pooling. APSIPA 2017: 1286-1291
[c5]
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  - conf/dicta/ZhangDLH17
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Jing Zhang, Yuchao Dai, Bo Li, Mingyi He:
Attention to the Scale: Deep Multi-Scale Salient Object Detection. DICTA 2017: 1-7
[c4]
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Jing Zhang, Bo Li, Yuchao Dai, Fatih Porikli, Mingyi He:
Integrated deep and shallow networks for salient object detection. ICIP 2017: 1537-1541
[c3]
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  - conf/wacv/ZhangDP17
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Jing Zhang, Yuchao Dai, Fatih Porikli:
Deep Salient Object Detection by Integrating Multi-level Cues. WACV 2017: 1-10
[i2]
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Jing Zhang, Bo Li, Yuchao Dai, Fatih Porikli, Mingyi He:
Integrated Deep and Shallow Networks for Salient Object Detection. CoRR abs/1706.00530 (2017)
[i1]
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  - journals/corr/abs-1708-04366
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Jing Zhang, Yuchao Dai, Fatih Porikli, Mingyi He:
Deep Edge-Aware Saliency Detection. CoRR abs/1708.04366 (2017)
2016
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  - conf/igarss/HeLZZW16
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Mingyi He, Xiaohui Li, Yifan Zhang, Jing Zhang, Weigang Wang:
Hyperspectral image classification based on deep stacking network. IGARSS 2016: 3286-3289
2014
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  - conf/chinasip/ZhangHD14
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Jing Zhang, Mingyi He, Yuchao Dai:
Modified affinity propagation clustering. ChinaSIP 2014: 505-509

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