Jing Zhang

165 papers A* 31A 5B 3C 1Misc 5Journal 111Unranked 9
YearRankTypeTitle / Venue / Authors
2026 J jnl
A Generative Victim Model for Segmentation.
Int. J. Comput. Vis.
Aixuan Li, Jing Zhang, Jiawei Shi, Zhexiong Wan, Yiran Zhong, Yuchao Dai
2026 A* conf
Learning Spatial Decay for Vision Transformers.
AAAI
Yuxin Mao, Zhen Qin, Jinxing Zhou, Bin Fan, Jing Zhang, Yiran Zhong, Yuchao Dai
2026 J jnl
RnG: A Unified Transformer for Complete 3D Modeling from Partial Observations.
CoRR
Mochu Xiang, Zhelun Shen, Xuesong Li, Jiahui Ren, Jing Zhang, Chen Zhao, Shanshan Liu, Haocheng Feng, Jingdong Wang, Yuchao Dai
2026 A* conf
SteerMusic: Enhanced Musical Consistency for Zero-shot Text-Guided and Personalized Music Editing.
AAAI
Xinlei Niu, Kin Wai Cheuk, Jing Zhang, Naoki Murata, Chieh-Hsin Lai, Michele Mancusi, Woosung Choi, Giorgio Fabbro, Wei-Hsiang Liao, Charles Patrick Martin, Yuki Mitsufuji
2025 J jnl
All-in-One Weather-Degraded Image Restoration Via Adaptive Degradation-Aware Self-Prompting Model.
IEEE Trans. Multim.
Yuanbo Wen, Tao Gao, Ziqi Li, Jing Zhang, Kaihao Zhang, Ting Chen
2025 J jnl
Audio-Visual Segmentation with Semantics.
Int. J. Comput. Vis.
Jinxing Zhou, Xuyang Shen, Jianyuan Wang, Jiayi Zhang, Weixuan Sun, Jing Zhang, Stan Birchfield, Dan Guo, Lingpeng Kong, Meng Wang, Yiran Zhong
2025 J jnl
AutoRefiner: Improving Autoregressive Video Diffusion Models via Reflective Refinement Over the Stochastic Sampling Path.
CoRR
Zhengyang Yu, Akio Hayakawa, Masato Ishii, Qingtao Yu, Takashi Shibuya, Jing Zhang, Yuki Mitsufuji
2025 J jnl
Autoregressive Image Generation with Linear Complexity: A Spatial-Aware Decay Perspective.
CoRR
Yuxin Mao, Zhen Qin, Jinxing Zhou, Hui Deng, Xuyang Shen, Bin Fan, Jing Zhang, Yiran Zhong, Yuchao Dai
2025 J jnl
Beyond Video-to-SFX: Video to Audio Synthesis with Environmentally Aware Speech.
CoRR
Xinlei Niu, Jianbo Ma, Dylan Harper-Harris, Xiangyu Zhang, Charles Patrick Martin, Jing Zhang
2025 A* conf
Black Sheep in the Herd: Playing with Spuriously Correlated Attributes for Vision-Language Recognition.
ICLR
Xinyu Tian, Shu Zou, Zhaoyuan Yang, Mengqi He, Jing Zhang
2025 J jnl
Black Sheep in the Herd: Playing with Spuriously Correlated Attributes for Vision-Language Recognition.
CoRR
Xinyu Tian, Shu Zou, Zhaoyuan Yang, Mengqi He, Jing Zhang
2025 A* conf
Brain-Inspired Spiking Neural Networks for Energy-Efficient Object Detection.
CVPR
Ziqi Li, Tao Gao, Yisheng An, Ting Chen, Jing Zhang, Yuanbo Wen, Mengkun Liu, Qianxi Zhang
2025 J jnl
Contrastive Conditional Latent Diffusion for Audio-Visual Segmentation.
IEEE Trans. Image Process.
Yuxin Mao, Jing Zhang, Mochu Xiang, Yunqiu Lv, Dong Li, Yiran Zhong, Yuchao Dai
2025 J jnl
Generative Transformer for Accurate and Reliable Salient Object Detection.
IEEE Trans. Circuits Syst. Video Technol.
Yuxin Mao, Jing Zhang, Zhexiong Wan, Xinyu Tian, Aixuan Li, Yunqiu Lv, Yuchao Dai
2025 A* conf
Identifying and Mitigating Position Bias of Multi-image Vision-Language Models.
CVPR
Xinyu Tian, Shu Zou, Zhaoyuan Yang, Jing Zhang
2025 J jnl
Identifying and Mitigating Position Bias of Multi-image Vision-Language Models.
CoRR
Xinyu Tian, Shu Zou, Zhaoyuan Yang, Jing Zhang
2025 J jnl
Learning Spatial Decay for Vision Transformers.
CoRR
Yuxin Mao, Zhen Qin, Jinxing Zhou, Bin Fan, Jing Zhang, Yiran Zhong, Yuchao Dai
2025 J jnl
MSNet: Multi-Scale Network for Object Detection in Remote Sensing Images.
Pattern Recognit.
Tao Gao, Shilin Xia, Mengkun Liu, Jing Zhang, Ting Chen, Ziqi Li
2025 J jnl
More Thought, Less Accuracy? On the Dual Nature of Reasoning in Vision-Language Models.
CoRR
Xinyu Tian, Shu Zou, Zhaoyuan Yang, Mengqi He, Fabian Waschkowski, Lukas Wesemann, Peter H. Tu, Jing Zhang
2025 A* conf
Multi-axis Prompt and Multi-dimension Fusion Network for All-in-one Weather-degraded Image Restoration.
AAAI
Yuanbo Wen, Tao Gao, Jing Zhang, Ziqi Li, Ting Chen
2025 A* conf
Patch-level Sounding Object Tracking for Audio-Visual Question Answering.
AAAI
Zhangbin Li, Jinxing Zhou, Jing Zhang, Shengeng Tang, Kun Li, Dan Guo
2025 A* conf
Probability Density Geodesics in Image Diffusion Latent Space.
CVPR
Qingtao Yu, Jaskirat Singh, Zhaoyuan Yang, Peter Henry Tu, Jing Zhang, Hongdong Li, Richard I. Hartley, Dylan Campbell
2025 J jnl
Probability Density Geodesics in Image Diffusion Latent Space.
CoRR
Qingtao Yu, Jaskirat Singh, Zhaoyuan Yang, Peter Henry Tu, Jing Zhang, Hongdong Li, Richard I. Hartley, Dylan Campbell
2025 — conf
SimLabel: Consistency-Guided OOD Detection with Pretrained Vision-Language Models.
AI (1)
Shu Zou, Xinyu Tian, Qinyu Zhao, Zhaoyuan Yang, Jing Zhang
2025 J jnl
SimLabel: Consistency-Guided OOD Detection with Pretrained Vision-Language Models.
CoRR
Shu Zou, Xinyu Tian, Qinyu Zhao, Zhaoyuan Yang, Jing Zhang
2025 J jnl
SteerMusic: Enhanced Musical Consistency for Zero-shot Text-Guided and Personalized Music Editing.
CoRR
Xinlei Niu, Kin Wai Cheuk, Jing Zhang, Naoki Murata, Chieh-Hsin Lai, Michele Mancusi, Woosung Choi, Giorgio Fabbro, Wei-Hsiang Liao, Charles Patrick Martin, Yuki Mitsufuji
2025 J jnl
Structural Energy-Guided Sampling for View-Consistent Text-to-3D.
CoRR
Qing Zhang, Jinguang Tong, Jie Hong, Jing Zhang, Xuesong Li
2025 J jnl
The Meeseeks Mesh: Spatially Consistent 3D Adversarial Objects for BEV Detector.
CoRR
Aixuan Li, Mochu Xiang, Jing Zhang, Yuchao Dai
2025 J jnl
Unlocking Vision-Language Models for Video Anomaly Detection via Fine-Grained Prompting.
CoRR
Shu Zou, Xinyu Tian, Lukas Wesemann, Fabian Waschkowski, Zhaoyuan Yang, Jing Zhang
2024 J jnl
A Generative Victim Model for Segmentation.
CoRR
Aixuan Li, Jing Zhang, Jiawei Shi, Yiran Zhong, Yuchao Dai
2024 J jnl
A Self-Supplementary and Revised Network for Remote Sensing Object Detection.
IEEE Geosci. Remote. Sens. Lett.
Tao Gao, Zixiang Liu, Guiping Wu, Ziqi Li, Yuanbo Wen, Lidong Liu, Ting Chen, Jing Zhang
2024 J jnl
A novel dual-stage progressive enhancement network for single image deraining.
Eng. Appl. Artif. Intell.
Tao Gao, Yuanbo Wen, Jing Zhang, Ting Chen
2024 A* conf
Adversarial Purification with the Manifold Hypothesis.
AAAI
Zhaoyuan Yang, Zhiwei Xu, Jing Zhang, Richard I. Hartley, Peter H. Tu
2024 J jnl
All-in-one Weather-degraded Image Restoration via Adaptive Degradation-aware Self-prompting Model.
CoRR
Yuanbo Wen, Tao Gao, Ziqi Li, Jing Zhang, Kaihao Zhang, Ting Chen
2024 A* conf
ArGue: Attribute-Guided Prompt Tuning for Vision-Language Models.
CVPR
Xinyu Tian, Shu Zou, Zhaoyuan Yang, Jing Zhang
2024 A* conf
DreamSteerer: Enhancing Source Image Conditioned Editability using Personalized Diffusion Models.
NeurIPS
Zhengyang Yu, Zhaoyuan Yang, Jing Zhang
2024 J jnl
DreamSteerer: Enhancing Source Image Conditioned Editability using Personalized Diffusion Models.
CoRR
Zhengyang Yu, Zhaoyuan Yang, Jing Zhang
2024 Misc conf
Encoder-Minimal and Decoder-Minimal Framework for Remote Sensing Image Dehazing.
ICASSP
Yuanbo Wen, Tao Gao, Ziqi Li, Jing Zhang, Ting Chen
2024 J jnl
Frequency-Oriented Efficient Transformer for All-in-One Weather-Degraded Image Restoration.
IEEE Trans. Circuits Syst. Video Technol.
Tao Gao, Yuanbo Wen, Kaihao Zhang, Jing Zhang, Ting Chen, Lidong Liu, Wenhan Luo
2024 J jnl
From heavy rain removal to detail restoration: A faster and better network.
Pattern Recognit.
Yuanbo Wen, Tao Gao, Jing Zhang, Kaihao Zhang, Ting Chen
2024 J jnl
Generative Edge Detection with Stable Diffusion.
CoRR
Caixia Zhou, Yaping Huang, Mochu Xiang, Jiahui Ren, Haibin Ling, Jing Zhang
2024 A conf
HybridVC: Efficient Voice Style Conversion with Text and Audio Prompts.
INTERSPEECH
Xinlei Niu, Jing Zhang, Charles Patrick Martin
2024 J jnl
HybridVC: Efficient Voice Style Conversion with Text and Audio Prompts.
CoRR
Xinlei Niu, Jing Zhang, Charles Patrick Martin
2024 A* conf
IMPUS: Image Morphing with Perceptually-Uniform Sampling Using Diffusion Models.
ICLR
Zhaoyuan Yang, Zhengyang Yu, Zhiwei Xu, Jaskirat Singh, Jing Zhang, Dylan Campbell, Peter H. Tu, Richard Hartley
2024 A* conf
LaViP: Language-Grounded Visual Prompting.
AAAI
Nilakshan Kunananthaseelan, Jing Zhang, Mehrtash Harandi
2024 A* conf
Latent Optimal Paths by Gumbel Propagation for Variational Bayesian Dynamic Programming.
ICML
Xinlei Niu, Christian Walder, Jing Zhang, Charles Patrick Martin
2024 — conf
Latent-based Diffusion Model for Long-tailed Recognition.
CVPR Workshops
Pengxiao Han, Changkun Ye, Jieming Zhou, Jing Zhang, Jie Hong, Xuesong Li
2024 J jnl
Learning Gaussian Representation for Eye Fixation Prediction.
CoRR
Peipei Song, Jing Zhang, Piotr Koniusz, Nick Barnes
2024 J jnl
MOL-Mamba: Enhancing Molecular Representation with Structural & Electronic Insights.
CoRR
Jingjing Hu, Dan Guo, Zhan Si, Deguang Liu, Yunfeng Diao, Jing Zhang, Jinxing Zhou, Meng Wang
2024 J jnl
Measuring and Modeling Uncertainty Degree for Monocular Depth Estimation.
IEEE Trans. Circuits Syst. Video Technol.
Mochu Xiang, Jing Zhang, Nick Barnes, Yuchao Dai
2024 Misc conf
Multi-Dimension Queried and Interacting Network for Stereo Image Deraining.
ICASSP
Yuanbo Wen, Tao Gao, Ziqi Li, Jing Zhang, Ting Chen
2024 J jnl
Mutual Information Regularization for Weakly-Supervised RGB-D Salient Object Detection.
IEEE Trans. Circuits Syst. Video Technol.
Aixuan Li, Yuxin Mao, Jing Zhang, Yuchao Dai
2024 J jnl
Patch-level Sounding Object Tracking for Audio-Visual Question Answering.
CoRR
Zhangbin Li, Jinxing Zhou, Jing Zhang, Shengeng Tang, Kun Li, Dan Guo
2024 J jnl
Rethinking Polyp Segmentation From An Out-of-distribution Perspective.
Mach. Intell. Res.
Ge-Peng Ji, Jing Zhang, Dylan Campbell, Huan Xiong, Nick Barnes
2024 Misc conf
SoundLoCD: An Efficient Conditional Discrete Contrastive Latent Diffusion Model for Text-to-Sound Generation.
ICASSP
Xinlei Niu, Jing Zhang, Christian Walder, Charles Patrick Martin
2024 J jnl
SoundLoCD: An Efficient Conditional Discrete Contrastive Latent Diffusion Model for Text-to-Sound Generation.
CoRR
Xinlei Niu, Jing Zhang, Christian Walder, Charles Patrick Martin
2024 J jnl
SoundMorpher: Perceptually-Uniform Sound Morphing with Diffusion Model.
CoRR
Xinlei Niu, Jing Zhang, Charles Patrick Martin
2024 J jnl
Synergizing triple attention with depth quality for RGB-D salient object detection.
Neurocomputing
Peipei Song, Wenyu Li, Peiyan Zhong, Jing Zhang, Piotr Koniusz, Feng Duan, Nick Barnes
2024 — conf
Syntax-Controllable Video Captioning with Tree-Structural Syntax Augmentation.
CVIPPR
Jiahui Sun, Peipei Song, Jing Zhang, Dan Guo
2024 A* conf
TAVGBench: Benchmarking Text to Audible-Video Generation.
ACM Multimedia
Yuxin Mao, Xuyang Shen, Jing Zhang, Zhen Qin, Jinxing Zhou, Mochu Xiang, Yiran Zhong, Yuchao Dai
2024 J jnl
TAVGBench: Benchmarking Text to Audible-Video Generation.
CoRR
Yuxin Mao, Xuyang Shen, Jing Zhang, Zhen Qin, Jinxing Zhou, Mochu Xiang, Yiran Zhong, Yuchao Dai
2024 Misc conf
Transferable Attacks for Semantic Segmentation.
ADC
Mengqi He, Jing Zhang, Xin Yu
2024 J jnl
Viewpoint Consistency in 3D Generation via Attention and CLIP Guidance.
CoRR
Qing Zhang, Zehao Chen, Jinguang Tong, Jing Zhang, Jie Hong, Xuesong Li
2024 J jnl
Weakly-Supervised Contrastive Learning for Unsupervised Object Discovery.
IEEE Trans. Image Process.
Yunqiu Lv, Jing Zhang, Nick Barnes, Yuchao Dai
2024 J jnl
You Only Scan Once: Efficient Multi-dimension Sequential Modeling with LightNet.
CoRR
Zhen Qin, Yuxin Mao, Xuyang Shen, Dong Li, Jing Zhang, Yuchao Dai, Yiran Zhong
2023 J jnl
A Task-Balanced Multiscale Adaptive Fusion Network for Object Detection in Remote Sensing Images.
IEEE Trans. Geosci. Remote. Sens.
Tao Gao, Zixiang Liu, Jing Zhang, Guiping Wu, Ting Chen
2023 J jnl
An Energy-Based Prior for Generative Saliency.
IEEE Trans. Pattern Anal. Mach. Intell.
Jing Zhang, Jianwen Xie, Nick Barnes, Ping Li
2023 J jnl
ArGue: Attribute-Guided Prompt Tuning for Vision-Language Models.
CoRR
Xinyu Tian, Shu Zou, Zhaoyuan Yang, Jing Zhang
2023 J jnl
Audio-Visual Segmentation with Semantics.
CoRR
Jinxing Zhou, Xuyang Shen, Jianyuan Wang, Jiayi Zhang, Weixuan Sun, Jing Zhang, Stan Birchfield, Dan Guo, Lingpeng Kong, Meng Wang, Yiran Zhong
2023 J jnl
Contrastive Conditional Latent Diffusion for Audio-visual Segmentation.
CoRR
Yuxin Mao, Jing Zhang, Mochu Xiang, Yunqiu Lv, Yiran Zhong, Yuchao Dai
2023 J jnl
Encoder-Free Multiaxis Physics-Aware Fusion Network for Remote Sensing Image Dehazing.
IEEE Trans. Geosci. Remote. Sens.
Yuanbo Wen, Tao Gao, Jing Zhang, Ziqi Li, Ting Chen
2023 J jnl
Encoder-minimal and Decoder-minimal Framework for Remote Sensing Image Dehazing.
CoRR
Yuanbo Wen, Tao Gao, Ziqi Li, Jing Zhang, Ting Chen
2023 J jnl
Global to Local: A Scale-Aware Network for Remote Sensing Object Detection.
IEEE Trans. Geosci. Remote. Sens.
Tao Gao, Qianqian Niu, Jing Zhang, Ting Chen, Shaohui Mei, Ahmad Jubair
2023 J jnl
IMPUS: Image Morphing with Perceptually-Uniform Sampling Using Diffusion Models.
CoRR
Zhaoyuan Yang, Zhengyang Yu, Zhiwei Xu, Jaskirat Singh, Jing Zhang, Dylan Campbell, Peter H. Tu, Richard I. Hartley
2023 J jnl
Joint Salient Object Detection and Camouflaged Object Detection via Uncertainty-aware Learning.
CoRR
Aixuan Li, Jing Zhang, Yunqiu Lv, Tong Zhang, Yiran Zhong, Mingyi He, Yuchao Dai
2023 J jnl
LaViP: Language-Grounded Visual Prompts.
CoRR
Nilakshan Kunananthaseelan, Jing Zhang, Mehrtash Harandi
2023 J jnl
Latent Optimal Paths by Gumbel Propagation for Variational Bayesian Dynamic Programming.
CoRR
Xinlei Niu, Christian Walder, Jing Zhang, Charles Patrick Martin
2023 J jnl
Measuring and Modeling Uncertainty Degree for Monocular Depth Estimation.
CoRR
Mochu Xiang, Jing Zhang, Nick Barnes, Yuchao Dai
2023 A* conf
Model Calibration in Dense Classification with Adaptive Label Perturbation.
ICCV
Jiawei Liu, Changkun Ye, Shan Wang, Ruikai Cui, Jing Zhang, Kaihao Zhang, Nick Barnes
2023 J jnl
Model Calibration in Dense Classification with Adaptive Label Perturbation.
CoRR
Jiawei Liu, Changkun Ye, Shan Wang, Ruikai Cui, Jing Zhang, Kaihao Zhang, Nick Barnes
2023 A* conf
Modeling the Distributional Uncertainty for Salient Object Detection Models.
CVPR
Xinyu Tian, Jing Zhang, Mochu Xiang, Yuchao Dai
2023 J jnl
Multi-dimension Queried and Interacting Network for Stereo Image Deraining.
CoRR
Yuanbo Wen, Tao Gao, Ziqi Li, Jing Zhang, Ting Chen
2023 A* conf
Multimodal Variational Auto-encoder based Audio-Visual Segmentation.
ICCV
Yuxin Mao, Jing Zhang, Mochu Xiang, Yiran Zhong, Yuchao Dai
2023 J jnl
Multimodal Variational Auto-encoder based Audio-Visual Segmentation.
CoRR
Yuxin Mao, Jing Zhang, Mochu Xiang, Yiran Zhong, Yuchao Dai
2023 J jnl
Mutual Information Regularization for Weakly-supervised RGB-D Salient Object Detection.
CoRR
Aixuan Li, Yuxin Mao, Jing Zhang, Yuchao Dai
2023 A* conf
P2C: Self-Supervised Point Cloud Completion from Single Partial Clouds.
ICCV
Ruikai Cui, Shi Qiu, Saeed Anwar, Jiawei Liu, Chaoyue Xing, Jing Zhang, Nick Barnes
2023 J jnl
P2C: Self-Supervised Point Cloud Completion from Single Partial Clouds.
CoRR
Ruikai Cui, Shi Qiu, Saeed Anwar, Jiawei Liu, Chaoyue Xing, Jing Zhang, Nick Barnes
2023 J jnl
Predictive Uncertainty Estimation for Camouflaged Object Detection.
IEEE Trans. Image Process.
Yi Zhang, Jing Zhang, Wassim Hamidouche, Olivier Déforges
2023 J jnl
Probabilistic and Semantic Descriptions of Image Manifolds and Their Applications.
CoRR
Peter H. Tu, Zhaoyuan Yang, Richard I. Hartley, Zhiwei Xu, Jing Zhang, Dylan Campbell, Jaskirat Singh, Tianyu Wang
2023 J jnl
Probabilistic and semantic descriptions of image manifolds and their applications.
Frontiers Comput. Sci.
Peter H. Tu, Zhaoyuan Yang, Richard I. Hartley, Zhiwei Xu, Jing Zhang, Yiwei Fu, Dylan Campbell, Jaskirat Singh, Tianyu Wang
2023 J jnl
Progressive dilation dense residual fusion network for single-image deraining.
IET Image Process.
Xiaolin Kong, Tao Gao, Ting Chen, Jing Zhang
2023 A* conf
RPEFlow: Multimodal Fusion of RGB-PointCloud-Event for Joint Optical Flow and Scene Flow Estimation.
ICCV
Zhexiong Wan, Yuxin Mao, Jing Zhang, Yuchao Dai
2023 J jnl
RPEFlow: Multimodal Fusion of RGB-PointCloud-Event for Joint Optical Flow and Scene Flow Estimation.
CoRR
Zhexiong Wan, Yuxin Mao, Jing Zhang, Yuchao Dai
2023 J jnl
Rethinking Polyp Segmentation from an Out-of-Distribution Perspective.
CoRR
Ge-Peng Ji, Jing Zhang, Dylan Campbell, Huan Xiong, Nick Barnes
2023 J jnl
Salient Objects in Clutter.
IEEE Trans. Pattern Anal. Mach. Intell.
Deng-Ping Fan, Jing Zhang, Gang Xu, Ming-Ming Cheng, Ling Shao
2023 J jnl
Toward Deeper Understanding of Camouflaged Object Detection.
IEEE Trans. Circuits Syst. Video Technol.
Yunqiu Lv, Jing Zhang, Yuchao Dai, Aixuan Li, Nick Barnes, Deng-Ping Fan
2023 J jnl
Transferable Attack for Semantic Segmentation.
CoRR
Mengqi He, Jing Zhang, Zhaoyuan Yang, Mingyi He, Nick Barnes, Yuchao Dai
2023 J jnl
Transmission-Guided Bayesian Generative Model for Smoke Segmentation.
CoRR
Siyuan Yan, Jing Zhang, Nick Barnes
2023 J jnl
Weakly-supervised Contrastive Learning for Unsupervised Object Discovery.
CoRR
Yunqiu Lv, Jing Zhang, Nick Barnes, Yuchao Dai
2022 — conf
A General Divergence Modeling Strategy for Salient Object Detection.
ACCV (7)
Xinyu Tian, Jing Zhang, Yuchao Dai
2022 J jnl
Adaptive Test-Time Defense with the Manifold Hypothesis.
CoRR
Zhaoyuan Yang, Zhiwei Xu, Jing Zhang, Richard I. Hartley, Peter H. Tu
2022 J jnl
An Energy-Based Prior for Generative Saliency.
CoRR
Jing Zhang, Jianwen Xie, Nick Barnes, Ping Li
2022 — conf
Audio-Visual Segmentation.
ECCV (37)
Jinxing Zhou, Jianyuan Wang, Jiayi Zhang, Weixuan Sun, Jing Zhang, Stan Birchfield, Dan Guo, Lingpeng Kong, Meng Wang, Yiran Zhong
2022 J jnl
Audio-Visual Segmentation.
CoRR
Jinxing Zhou, Jianyuan Wang, Jiayi Zhang, Weixuan Sun, Jing Zhang, Stan Birchfield, Dan Guo, Lingpeng Kong, Meng Wang, Yiran Zhong
2022 A* conf
Energy-Based Generative Cooperative Saliency Prediction.
AAAI
Jing Zhang, Jianwen Xie, Zilong Zheng, Nick Barnes
2022 A conf
Energy-Based Residual Latent Transport for Unsupervised Point Cloud Completion.
BMVC
Ruikai Cui, Shi Qiu, Saeed Anwar, Jing Zhang, Nick Barnes
2022 J jnl
Energy-Based Residual Latent Transport for Unsupervised Point Cloud Completion.
CoRR
Ruikai Cui, Shi Qiu, Saeed Anwar, Jing Zhang, Nick Barnes
2022 J jnl
From Heavy Rain Removal to Detail Restoration: A Faster and Better Network.
CoRR
Tao Gao, Yuanbo Wen, Jing Zhang, Kaihao Zhang, Ting Chen
2022 J jnl
Generalised Co-Salient Object Detection.
CoRR
Jiawei Liu, Jing Zhang, Kaihao Zhang, Nick Barnes
2022 A conf
Inferring the Class Conditional Response Map for Weakly Supervised Semantic Segmentation.
WACV
Weixuan Sun, Jing Zhang, Nick Barnes
2022 A conf
Modeling Aleatoric Uncertainty for Camouflaged Object Detection.
WACV
Jiawei Liu, Jing Zhang, Nick Barnes
2022 B conf
Multi-Modal Transformer for RGB-D Salient Object Detection.
ICIP
Peipei Song, Jing Zhang, Piotr Koniusz, Nick Barnes
2022 J jnl
Semi-supervised Active Salient Object Detection.
Pattern Recognit.
Yunqiu Lv, Bowen Liu, Jing Zhang, Yuchao Dai, Aixuan Li, Tong Zhang
2022 J jnl
Towards Deeper Understanding of Camouflaged Object Detection.
CoRR
Yunqiu Lv, Jing Zhang, Yuchao Dai, Aixuan Li, Nick Barnes, Deng-Ping Fan
2022 A* conf
Transmission-Guided Bayesian Generative Model for Smoke Segmentation.
AAAI
Siyuan Yan, Jing Zhang, Nick Barnes
2022 J jnl
Uncertainty Inspired RGB-D Saliency Detection.
IEEE Trans. Pattern Anal. Mach. Intell.
Jing Zhang, Deng-Ping Fan, Yuchao Dai, Saeed Anwar, Fatemeh Sadat Saleh, Sadegh Aliakbarian, Nick Barnes
2022 J jnl
Weakly Supervised RGB-D Salient Object Detection With Prediction Consistency Training and Active Scribble Boosting.
IEEE Trans. Image Process.
Yunqiu Xu, Xin Yu, Jing Zhang, Linchao Zhu, Dadong Wang
2021 J jnl
A General Divergence Modeling Strategy for Salient Object Detection.
CoRR
Xinyu Tian, Jing Zhang, Yuchao Dai
2021 J jnl
Confidence-Aware Learning for Camouflaged Object Detection.
CoRR
Jiawei Liu, Jing Zhang, Nick Barnes
2021 J jnl
Dense Uncertainty Estimation via an Ensemble-based Conditional Latent Variable Model.
CoRR
Jing Zhang, Yuchao Dai, Mehrtash Harandi, Yiran Zhong, Nick Barnes, Richard Hartley
2021 J jnl
Dense Uncertainty Estimation.
CoRR
Jing Zhang, Yuchao Dai, Mochu Xiang, Deng-Ping Fan, Peyman Moghadam, Mingyi He, Christian Walder, Kaihao Zhang, Mehrtash Harandi, Nick Barnes
2021 J jnl
Depth-Guided Camouflaged Object Detection.
CoRR
Jing Zhang, Yunqiu Lv, Mochu Xiang, Aixuan Li, Yuchao Dai, Yiran Zhong
2021 J jnl
Energy-Based Generative Cooperative Saliency Prediction.
CoRR
Jing Zhang, Jianwen Xie, Zilong Zheng, Nick Barnes
2021 J jnl
GETAM: Gradient-weighted Element-wise Transformer Attention Map for Weakly-supervised Semantic segmentation.
CoRR
Weixuan Sun, Jing Zhang, Zheyuan Liu, Yiran Zhong, Nick Barnes
2021 J jnl
Inferring the Class Conditional Response Map for Weakly Supervised Semantic Segmentation.
CoRR
Weixuan Sun, Jing Zhang, Nick Barnes
2021 J jnl
Invertible Attention.
CoRR
Jiajun Zha, Yiran Zhong, Jing Zhang, Richard Hartley, Liang Zheng
2021 A* conf
Learning Generative Vision Transformer with Energy-Based Latent Space for Saliency Prediction.
NeurIPS
Jing Zhang, Jianwen Xie, Nick Barnes, Ping Li
2021 J jnl
Learning Generative Vision Transformer with Energy-Based Latent Space for Saliency Prediction.
CoRR
Jing Zhang, Jianwen Xie, Nick Barnes, Ping Li
2021 J jnl
Learning Saliency From Single Noisy Labelling: A Robust Model Fitting Perspective.
IEEE Trans. Pattern Anal. Mach. Intell.
Jing Zhang, Yuchao Dai, Tong Zhang, Mehrtash Harandi, Nick Barnes, Richard Hartley
2021 B conf
Learning structure-aware semantic segmentation with image-level supervision.
IJCNN
Jiawei Liu, Jing Zhang, Yicong Hong, Nick Barnes
2021 J jnl
Learning structure-aware semantic segmentation with image-level supervision.
CoRR
Jiawei Liu, Jing Zhang, Yicong Hong, Nick Barnes
2021 A* conf
RGB-D Saliency Detection via Cascaded Mutual Information Minimization.
ICCV
Jing Zhang, Deng-Ping Fan, Yuchao Dai, Xin Yu, Yiran Zhong, Nick Barnes, Ling Shao
2021 J jnl
RGB-D Saliency Detection via Cascaded Mutual Information Minimization.
CoRR
Jing Zhang, Deng-Ping Fan, Yuchao Dai, Xin Yu, Yiran Zhong, Nick Barnes, Ling Shao
2021 J jnl
SHD360: A Benchmark Dataset for Salient Human Detection in 360° Videos.
CoRR
Yi Zhang, Lu Zhang, Jing Zhang, Kang Wang, Wassim Hamidouche, Olivier Déforges
2021 J jnl
Salient Objects in Clutter.
CoRR
Deng-Ping Fan, Jing Zhang, Gang Xu, Ming-Ming Cheng, Ling Shao
2021 J jnl
Semi-supervised Salient Object Detection with Effective Confidence Estimation.
CoRR
Jiawei Liu, Jing Zhang, Nick Barnes
2021 A* conf
Simultaneously Localize, Segment and Rank the Camouflaged Objects.
CVPR
Yunqiu Lv, Jing Zhang, Yuchao Dai, Aixuan Li, Bowen Liu, Nick Barnes, Deng-Ping Fan
2021 J jnl
Simultaneously Localize, Segment and Rank the Camouflaged Objects.
CoRR
Yunqiu Lyu, Jing Zhang, Yuchao Dai, Aixuan Li, Bowen Liu, Nick Barnes, Deng-Ping Fan
2021 J jnl
Transformer Transforms Salient Object Detection and Camouflaged Object Detection.
CoRR
Yuxin Mao, Jing Zhang, Zhexiong Wan, Yuchao Dai, Aixuan Li, Yunqiu Lv, Xinyu Tian, Deng-Ping Fan, Nick Barnes
2021 A* conf
Uncertainty-Aware Joint Salient Object and Camouflaged Object Detection.
CVPR
Aixuan Li, Jing Zhang, Yunqiu Lv, Bowen Liu, Tong Zhang, Yuchao Dai
2021 J jnl
Uncertainty-aware Joint Salient Object and Camouflaged Object Detection.
CoRR
Aixuan Li, Jing Zhang, Yunqiu Lv, Bowen Liu, Tong Zhang, Yuchao Dai
2021 A* conf
Weakly Supervised Video Salient Object Detection.
CVPR
Wangbo Zhao, Jing Zhang, Long Li, Nick Barnes, Nian Liu, Junwei Han
2021 J jnl
Weakly Supervised Video Salient Object Detection.
CoRR
Wangbo Zhao, Jing Zhang, Long Li, Nick Barnes, Nian Liu, Junwei Han
2020 — conf
3D Guided Weakly Supervised Semantic Segmentation.
ACCV (1)
Weixuan Sun, Jing Zhang, Nick Barnes
2020 J jnl
3D Guided Weakly Supervised Semantic Segmentation.
CoRR
Weixuan Sun, Jing Zhang, Nick Barnes
2020 — conf
Learning Noise-Aware Encoder-Decoder from Noisy Labels by Alternating Back-Propagation for Saliency Detection.
ECCV (17)
Jing Zhang, Jianwen Xie, Nick Barnes
2020 J jnl
Learning Noise-Aware Encoder-Decoder from Noisy Labels by Alternating Back-Propagation for Saliency Detection.
CoRR
Jing Zhang, Jianwen Xie, Nick Barnes
2020 A* conf
UC-Net: Uncertainty Inspired RGB-D Saliency Detection via Conditional Variational Autoencoders.
CVPR
Jing Zhang, Deng-Ping Fan, Yuchao Dai, Saeed Anwar, Fatemeh Sadat Saleh, Tong Zhang, Nick Barnes
2020 J jnl
UC-Net: Uncertainty Inspired RGB-D Saliency Detection via Conditional Variational Autoencoders.
CoRR
Jing Zhang, Deng-Ping Fan, Yuchao Dai, Saeed Anwar, Fatemeh Sadat Saleh, Tong Zhang, Nick Barnes
2020 J jnl
Uncertainty Inspired RGB-D Saliency Detection.
CoRR
Jing Zhang, Deng-Ping Fan, Yuchao Dai, Saeed Anwar, Fatemeh Sadat Saleh, Sadegh Aliakbarian, Nick Barnes
2020 J jnl
Uncertainty-Aware Deep Calibrated Salient Object Detection.
CoRR
Jing Zhang, Yuchao Dai, Xin Yu, Mehrtash Harandi, Nick Barnes, Richard I. Hartley
2020 A* conf
Weakly-Supervised Salient Object Detection via Scribble Annotations.
CVPR
Jing Zhang, Xin Yu, Aixuan Li, Peipei Song, Bowen Liu, Yuchao Dai
2020 J jnl
Weakly-Supervised Salient Object Detection via Scribble Annotations.
CoRR
Jing Zhang, Xin Yu, Aixuan Li, Peipei Song, Bowen Liu, Yuchao Dai
2019 A* conf
Few-Shot Learning via Saliency-Guided Hallucination of Samples.
CVPR
Hongguang Zhang, Jing Zhang, Piotr Koniusz
2019 J jnl
Few-Shot Learning via Saliency-guided Hallucination of Samples.
CoRR
Hongguang Zhang, Jing Zhang, Piotr Koniusz
2018 A* conf
Deep Unsupervised Saliency Detection: A Multiple Noisy Labeling Perspective.
CVPR
Jing Zhang, Tong Zhang, Yuchao Dai, Mehrtash Harandi, Richard I. Hartley
2018 J jnl
Deep Unsupervised Saliency Detection: A Multiple Noisy Labeling Perspective.
CoRR
Jing Zhang, Tong Zhang, Yuchao Dai, Mehrtash Harandi, Richard I. Hartley
2017 Misc conf
Attention to the Scale: Deep Multi-Scale Salient Object Detection.
DICTA
Jing Zhang, Yuchao Dai, Bo Li, Mingyi He
2017 J jnl
Deep Edge-Aware Saliency Detection.
CoRR
Jing Zhang, Yuchao Dai, Fatih Porikli, Mingyi He
2017 A conf
Deep Salient Object Detection by Integrating Multi-level Cues.
WACV
Jing Zhang, Yuchao Dai, Fatih Porikli
2017 J jnl
Integrated Deep and Shallow Networks for Salient Object Detection.
CoRR
Jing Zhang, Bo Li, Yuchao Dai, Fatih Porikli, Mingyi He
2017 B conf
Integrated deep and shallow networks for salient object detection.
ICIP
Jing Zhang, Bo Li, Yuchao Dai, Fatih Porikli, Mingyi He
2017 — conf
Multi-scale salient object detection with pyramid spatial pooling.
APSIPA
Jing Zhang, Yuchao Dai, Fatih Porikli, Mingyi He
2016 C conf
Hyperspectral image classification based on deep stacking network.
IGARSS
Mingyi He, Xiaohui Li, Yifan Zhang, Jing Zhang, Weigang Wang
2014 — conf
Modified affinity propagation clustering.
ChinaSIP
Jing Zhang, Mingyi He, Yuchao Dai