default search action
Jing Zhang 0052
Person information
- affiliation: Australian National University, Research School of Engineering, Canberra, Australia
- affiliation (former): Northwestern Polytechnical University, School of Electronics and Information, Xi'an, China
Other persons with the same name
- 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
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2024
- [j21]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]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]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]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]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]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]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]Yunqiu Lv, Jing Zhang, Nick Barnes, Yuchao Dai:
Weakly-Supervised Contrastive Learning for Unsupervised Object Discovery. IEEE Trans. Image Process. 33: 2689-2702 (2024) - [c40]Nilakshan Kunananthaseelan, Jing Zhang, Mehrtash Harandi:
LaViP: Language-Grounded Visual Prompting. AAAI 2024: 2840-2848 - [c39]Zhaoyuan Yang, Zhiwei Xu, Jing Zhang, Richard I. Hartley, Peter H. Tu:
Adversarial Purification with the Manifold Hypothesis. AAAI 2024: 16379-16387 - [c38]Jing Zhang, Liang Zheng, Meng Wang, Dan Guo:
Training A Small Emotional Vision Language Model for Visual Art Comprehension. ECCV (67) 2024: 397-413 - [c37]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]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]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]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]Xinlei Niu, Christian Walder, Jing Zhang, Charles Patrick Martin:
Latent Optimal Paths by Gumbel Propagation for Variational Bayesian Dynamic Programming. ICML 2024 - [c32]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]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]Peipei Song, Jing Zhang, Piotr Koniusz, Nick Barnes:
Learning Gaussian Representation for Eye Fixation Prediction. CoRR abs/2403.14821 (2024) - [i60]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]Xinlei Niu, Jing Zhang, Charles Patrick Martin:
HybridVC: Efficient Voice Style Conversion with Text and Audio Prompts. CoRR abs/2404.15637 (2024) - [i58]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]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]Xinlei Niu, Jing Zhang, Charles Patrick Martin:
SoundMorpher: Perceptually-Uniform Sound Morphing with Diffusion Model. CoRR abs/2410.02144 (2024) - 2023
- [j13]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]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]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]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]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]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]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]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]Yi Zhang, Jing Zhang, Wassim Hamidouche, Olivier Déforges:
Predictive Uncertainty Estimation for Camouflaged Object Detection. IEEE Trans. Image Process. 32: 3580-3591 (2023) - [c31]Xinyu Tian, Jing Zhang, Mochu Xiang, Yuchao Dai:
Modeling the Distributional Uncertainty for Salient Object Detection Models. CVPR 2023: 19660-19670 - [c30]Yuxin Mao, Jing Zhang, Mochu Xiang, Yiran Zhong, Yuchao Dai:
Multimodal Variational Auto-encoder based Audio-Visual Segmentation. ICCV 2023: 954-965 - [c29]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]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]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]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]Siyuan Yan, Jing Zhang, Nick Barnes:
Transmission-Guided Bayesian Generative Model for Smoke Segmentation. CoRR abs/2303.00900 (2023) - [i53]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) - [i52]Aixuan Li, Yuxin Mao, Jing Zhang, Yuchao Dai:
Mutual Information Regularization for Weakly-supervised RGB-D Salient Object Detection. CoRR abs/2306.03630 (2023) - [i51]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]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) - [i49]Yunqiu Lv, Jing Zhang, Nick Barnes, Yuchao Dai:
Weakly-supervised Contrastive Learning for Unsupervised Object Discovery. CoRR abs/2307.03376 (2023) - [i48]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) - [i47]Mochu Xiang, Jing Zhang, Nick Barnes, Yuchao Dai:
Measuring and Modeling Uncertainty Degree for Monocular Depth Estimation. CoRR abs/2307.09929 (2023) - [i46]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]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]Mengqi He, Jing Zhang, Zhaoyuan Yang, Mingyi He, Nick Barnes, Yuchao Dai:
Transferable Attack for Semantic Segmentation. CoRR abs/2307.16572 (2023) - [i43]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]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]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]Yuxin Mao, Jing Zhang, Mochu Xiang, Yiran Zhong, Yuchao Dai:
Multimodal Variational Auto-encoder based Audio-Visual Segmentation. CoRR abs/2310.08303 (2023) - [i39]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]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]Nilakshan Kunananthaseelan, Jing Zhang, Mehrtash Harandi:
LaViP: Language-Grounded Visual Prompts. CoRR abs/2312.10945 (2023) - 2022
- [j4]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) - [j3]Yunqiu Lv, Bowen Liu, Jing Zhang, Yuchao Dai, Aixuan Li, Tong Zhang:
Semi-supervised Active Salient Object Detection. Pattern Recognit. 123: 108364 (2022) - [j2]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]Siyuan Yan, Jing Zhang, Nick Barnes:
Transmission-Guided Bayesian Generative Model for Smoke Segmentation. AAAI 2022: 3009-3017 - [c25]Jing Zhang, Jianwen Xie, Zilong Zheng, Nick Barnes:
Energy-Based Generative Cooperative Saliency Prediction. AAAI 2022: 3280-3290 - [c24]Xinyu Tian, Jing Zhang, Yuchao Dai:
A General Divergence Modeling Strategy for Salient Object Detection. ACCV (7) 2022: 291-309 - [c23]Ruikai Cui, Shi Qiu, Saeed Anwar, Jing Zhang, Nick Barnes:
Energy-Based Residual Latent Transport for Unsupervised Point Cloud Completion. BMVC 2022: 48 - [c22]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]Peipei Song, Jing Zhang, Piotr Koniusz, Nick Barnes:
Multi-Modal Transformer for RGB-D Salient Object Detection. ICIP 2022: 2466-2470 - [c20]Jiawei Liu, Jing Zhang, Nick Barnes:
Modeling Aleatoric Uncertainty for Camouflaged Object Detection. WACV 2022: 2613-2622 - [c19]Weixuan Sun, Jing Zhang, Nick Barnes:
Inferring the Class Conditional Response Map for Weakly Supervised Semantic Segmentation. WACV 2022: 2653-2662 - [i36]Jing Zhang, Jianwen Xie, Nick Barnes, Ping Li:
An Energy-Based Prior for Generative Saliency. CoRR abs/2204.08803 (2022) - [i35]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]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]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]Jiawei Liu, Jing Zhang, Kaihao Zhang, Nick Barnes:
Generalised Co-Salient Object Detection. CoRR abs/2208.09668 (2022) - [i31]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]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]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]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]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]Wangbo Zhao, Jing Zhang, Long Li, Nick Barnes, Nian Liu, Junwei Han:
Weakly Supervised Video Salient Object Detection. CVPR 2021: 16826-16835 - [c15]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]Jiawei Liu, Jing Zhang, Yicong Hong, Nick Barnes:
Learning structure-aware semantic segmentation with image-level supervision. IJCNN 2021: 1-8 - [c13]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]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]Wangbo Zhao, Jing Zhang, Long Li, Nick Barnes, Nian Liu, Junwei Han:
Weakly Supervised Video Salient Object Detection. CoRR abs/2104.02391 (2021) - [i27]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]Jiawei Liu, Jing Zhang, Yicong Hong, Nick Barnes:
Learning structure-aware semantic segmentation with image-level supervision. CoRR abs/2104.07216 (2021) - [i25]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]Deng-Ping Fan, Jing Zhang, Gang Xu, Ming-Ming Cheng, Ling Shao:
Salient Objects in Clutter. CoRR abs/2105.03053 (2021) - [i23]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]Jiajun Zha, Yiran Zhong, Jing Zhang, Richard Hartley, Liang Zheng:
Invertible Attention. CoRR abs/2106.09003 (2021) - [i21]Jiawei Liu, Jing Zhang, Nick Barnes:
Confidence-Aware Learning for Camouflaged Object Detection. CoRR abs/2106.11641 (2021) - [i20]Jing Zhang, Yunqiu Lv, Mochu Xiang, Aixuan Li, Yuchao Dai, Yiran Zhong:
Depth-Guided Camouflaged Object Detection. CoRR abs/2106.13217 (2021) - [i19]Jing Zhang, Jianwen Xie, Zilong Zheng, Nick Barnes:
Energy-Based Generative Cooperative Saliency Prediction. CoRR abs/2106.13389 (2021) - [i18]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]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]Weixuan Sun, Jing Zhang, Nick Barnes:
Inferring the Class Conditional Response Map for Weakly Supervised Semantic Segmentation. CoRR abs/2110.14309 (2021) - [i15]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]Xinyu Tian, Jing Zhang, Yuchao Dai:
A General Divergence Modeling Strategy for Salient Object Detection. CoRR abs/2111.11827 (2021) - [i13]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]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]Jiawei Liu, Jing Zhang, Nick Barnes:
Semi-supervised Salient Object Detection with Effective Confidence Estimation. CoRR abs/2112.14019 (2021) - 2020
- [c12]Weixuan Sun, Jing Zhang, Nick Barnes:
3D Guided Weakly Supervised Semantic Segmentation. ACCV (1) 2020: 585-602 - [c11]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]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]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]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]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]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]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]Weixuan Sun, Jing Zhang, Nick Barnes:
3D Guided Weakly Supervised Semantic Segmentation. CoRR abs/2012.00242 (2020) - [i5]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
- 2019
- [c8]Hongguang Zhang, Jing Zhang, Piotr Koniusz:
Few-Shot Learning via Saliency-Guided Hallucination of Samples. CVPR 2019: 2770-2779 - [i4]Hongguang Zhang, Jing Zhang, Piotr Koniusz:
Few-Shot Learning via Saliency-guided Hallucination of Samples. CoRR abs/1904.03472 (2019) - 2018
- [c7]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]