Shen, Chunhua

187 publications

ICCV 2025 Aether: Geometric-Aware Unified World Modeling Haoyi Zhu, Yifan Wang, Jianjun Zhou, Wenzheng Chang, Yang Zhou, Zizun Li, Junyi Chen, Chunhua Shen, Jiangmiao Pang, Tong He

ICLR 2025 Boltzmann-Aligned Inverse Folding Model as a Predictor of Mutational Effects on Protein-Protein Interactions Xiaoran Jiao, Weian Mao, Wengong Jin, Peiyuan Yang, Hao Chen, Chunhua Shen

NeurIPS 2025 DICEPTION: A Generalist Diffusion Model for Visual Perceptual Tasks Canyu Zhao, Yanlong Sun, Mingyu Liu, Huanyi Zheng, Muzhi Zhu, Zhiyue Zhao, Hao Chen, Tong He, Chunhua Shen

ICLR 2025 Depth Any Video with Scalable Synthetic Data Honghui Yang, Di Huang, Wei Yin, Chunhua Shen, Haifeng Liu, Xiaofei He, Binbin Lin, Wanli Ouyang, Tong He

ICCV 2025 Fine-Grained Abnormality Prompt Learning for Zero-Shot Anomaly Detection Jiawen Zhu, Yew-Soon Ong, Chunhua Shen, Guansong Pang

ICLR 2025 Framer: Interactive Frame Interpolation Wen Wang, Qiuyu Wang, Kecheng Zheng, Hao Ouyang, Zhekai Chen, Biao Gong, Hao Chen, Yujun Shen, Chunhua Shen

CVPR 2025 MovieBench: A Hierarchical Movie Level Dataset for Long Video Generation Weijia Wu, Mingyu Liu, Zeyu Zhu, Xi Xia, Haoen Feng, Wen Wang, Kevin Qinghong Lin, Chunhua Shen, Mike Zheng Shou

ICLR 2025 MovieDreamer: Hierarchical Generation for Coherent Long Visual Sequences Canyu Zhao, Mingyu Liu, Wen Wang, Weihua Chen, Fan Wang, Hao Chen, Bo Zhang, Chunhua Shen

NeurIPS 2025 Omni-R1: Reinforcement Learning for Omnimodal Reasoning via Two-System Collaboration Hao Zhong, Muzhi Zhu, Zongze Du, Zheng Huang, Canyu Zhao, Mingyu Liu, Wen Wang, Hao Chen, Chunhua Shen

ICCV 2025 POMATO: Marrying Pointmap Matching with Temporal Motions for Dynamic 3D Reconstruction Songyan Zhang, Yongtao Ge, Jinyuan Tian, Guangkai Xu, Hao Chen, Chen Lv, Chunhua Shen

ICLR 2025 PerturboLLaVA: Reducing Multimodal Hallucinations with Perturbative Visual Training Cong Chen, Mingyu Liu, Chenchen Jing, Yizhou Zhou, Fengyun Rao, Hao Chen, Bo Zhang, Chunhua Shen

ICML 2025 Physics Aware Neural Networks for Unsupervised Binding Energy Prediction Ke Liu, Hao Chen, Chunhua Shen

ICLR 2025 Revisiting Convolution Architecture in the Realm of DNA Foundation Models Yu Bo, Weian Mao, Yanjun Shao, Weiqiang Bai, Peng Ye, Xinzhu Ma, Junbo Zhao, Hao Chen, Chunhua Shen

ICCV 2025 SMSTracker: Tri-Path Score Mask Sigma Fusion for Multi-Modal Tracking Sixian Chan, Zedong Li, Wenhao Li, Shijian Lu, Chunhua Shen, Xiaoqin Zhang

IJCAI 2025 Seeing the Unseen: Composing Outliers for Compositional Zero-Shot Learning Chenchen Jing, Mingyu Liu, Hao Chen, Yuling Xi, Xingyuan Bu, Dong Gong, Chunhua Shen

CVPR 2025 SegAgent: Exploring Pixel Understanding Capabilities in MLLMs by Imitating Human Annotator Trajectories Muzhi Zhu, Yuzhuo Tian, Hao Chen, Chunluan Zhou, Qingpei Guo, Yang Liu, Ming Yang, Chunhua Shen

ICCV 2025 SurfaceSplat: Connecting Surface Reconstruction and Gaussian Splatting Zihui Gao, Jia-Wang Bian, Guosheng Lin, Hao Chen, Chunhua Shen

AAAI 2025 TG-LLaVA: Text Guided LLaVA via Learnable Latent Embeddings Dawei Yan, Pengcheng Li, Yang Li, Hao Chen, Qingguo Chen, Weihua Luo, Wei Dong, Qingsen Yan, Haokui Zhang, Chunhua Shen

ICCV 2025 Unified Open-World Segmentation with Multi-Modal Prompts Yang Liu, Yufei Yin, Chenchen Jing, Muzhi Zhu, Hao Chen, Yuling Xi, Bo Feng, Hao Wang, Shiyu Li, Chunhua Shen

ICLR 2025 What Matters When Repurposing Diffusion Models for General Dense Perception Tasks? Guangkai Xu, Yongtao Ge, Mingyu Liu, Chengxiang Fan, Kangyang Xie, Zhiyue Zhao, Hao Chen, Chunhua Shen

NeurIPS 2024 A Simple Image Segmentation Framework via In-Context Examples Yang Liu, Chenchen Jing, Hengtao Li, Muzhi Zhu, Hao Chen, Xinlong Wang, Chunhua Shen

ICLR 2024 De Novo Protein Design Using Geometric Vector Field Networks Weian Mao, Muzhi Zhu, Zheng Sun, Shuaike Shen, Lin Yuanbo Wu, Hao Chen, Chunhua Shen

CVPR 2024 DiverGen: Improving Instance Segmentation by Learning Wider Data Distribution with More Diverse Generative Data Chengxiang Fan, Muzhi Zhu, Hao Chen, Yang Liu, Weijia Wu, Huaqi Zhang, Chunhua Shen

ICML 2024 Floating Anchor Diffusion Model for Multi-Motif Scaffolding Ke Liu, Weian Mao, Shuaike Shen, Xiaoran Jiao, Zheng Sun, Hao Chen, Chunhua Shen

ECCV 2024 FreeCompose: Generic Zero-Shot Image Composition with Diffusion Prior Zhekai Chen, Wen Wang, Zhen Yang, Zeqing Yuan, Hao Chen, Chunhua Shen

CVPR 2024 FreeCustom: Tuning-Free Customized Image Generation for Multi-Concept Composition Ganggui Ding, Canyu Zhao, Wen Wang, Zhen Yang, Zide Liu, Hao Chen, Chunhua Shen

ICML 2024 Generative Active Learning for Long-Tailed Instance Segmentation Muzhi Zhu, Chengxiang Fan, Hao Chen, Yang Liu, Weian Mao, Xiaogang Xu, Chunhua Shen

ICLR 2024 Matcher: Segment Anything with One Shot Using All-Purpose Feature Matching Yang Liu, Muzhi Zhu, Hengtao Li, Hao Chen, Xinlong Wang, Chunhua Shen

ICLR 2024 Object-Aware Inversion and Reassembly for Image Editing Zhen Yang, Ganggui Ding, Wen Wang, Hao Chen, Bohan Zhuang, Chunhua Shen

ICML 2024 On the Trajectory Regularity of ODE-Based Diffusion Sampling Defang Chen, Zhenyu Zhou, Can Wang, Chunhua Shen, Siwei Lyu

AAAI 2024 PointAttN: You Only Need Attention for Point Cloud Completion Jun Wang, Ying Cui, Dongyan Guo, Junxia Li, Qingshan Liu, Chunhua Shen

AAAI 2024 Retrieval-Augmented Primitive Representations for Compositional Zero-Shot Learning Chenchen Jing, Yukun Li, Hao Chen, Chunhua Shen

CVPR 2024 Traffic Scene Parsing Through the TSP6K Dataset Peng-Tao Jiang, Yuqi Yang, Yang Cao, Qibin Hou, Ming-Ming Cheng, Chunhua Shen

NeurIPS 2024 Unleashing the Potential of the Diffusion Model in Few-Shot Semantic Segmentation Muzhi Zhu, Yang Liu, Zekai Luo, Chenchen Jing, Hao Chen, Guangkai Xu, Xinlong Wang, Chunhua Shen

ECCV 2024 VisionLLaMA: A Unified Llama Backbone for Vision Tasks Xiangxiang Chu, Jianlin Su, Bo Zhang, Chunhua Shen

IJCAI 2023 A Survey on Efficient Training of Transformers Bohan Zhuang, Jing Liu, Zizheng Pan, Haoyu He, Yuetian Weng, Chunhua Shen

ICCV 2023 CTVIS: Consistent Training for Online Video Instance Segmentation Kaining Ying, Qing Zhong, Weian Mao, Zhenhua Wang, Hao Chen, Lin Yuanbo Wu, Yifan Liu, Chengxiang Fan, Yunzhi Zhuge, Chunhua Shen

ICLR 2023 Conditional Positional Encodings for Vision Transformers Xiangxiang Chu, Zhi Tian, Bo Zhang, Xinlong Wang, Chunhua Shen

NeurIPS 2023 DatasetDM: Synthesizing Data with Perception Annotations Using Diffusion Models Weijia Wu, Yuzhong Zhao, Hao Chen, Yuchao Gu, Rui Zhao, Yefei He, Hong Zhou, Mike Zheng Shou, Chunhua Shen

ICCV 2023 DiffuMask: Synthesizing Images with Pixel-Level Annotations for Semantic Segmentation Using Diffusion Models Weijia Wu, Yuzhong Zhao, Mike Zheng Shou, Hong Zhou, Chunhua Shen

AAAI 2023 FoPro: Few-Shot Guided Robust Webly-Supervised Prototypical Learning Yulei Qin, Xingyu Chen, Chao Chen, Yunhang Shen, Bo Ren, Yun Gu, Jie Yang, Chunhua Shen

ICCV 2023 FrozenRecon: Pose-Free 3D Scene Reconstruction with Frozen Depth Models Guangkai Xu, Wei Yin, Hao Chen, Chunhua Shen, Kai Cheng, Feng Zhao

ICCV 2023 Generative Prompt Model for Weakly Supervised Object Localization Yuzhong Zhao, Qixiang Ye, Weijia Wu, Chunhua Shen, Fang Wan

CVPR 2023 Images Speak in Images: A Generalist Painter for In-Context Visual Learning Xinlong Wang, Wen Wang, Yue Cao, Chunhua Shen, Tiejun Huang

CVPR 2023 Learning Conditional Attributes for Compositional Zero-Shot Learning Qingsheng Wang, Lingqiao Liu, Chenchen Jing, Hao Chen, Guoqiang Liang, Peng Wang, Chunhua Shen

ICCV 2023 Metric3D: Towards Zero-Shot Metric 3D Prediction from a Single Image Wei Yin, Chi Zhang, Hao Chen, Zhipeng Cai, Gang Yu, Kaixuan Wang, Xiaozhi Chen, Chunhua Shen

AAAI 2023 Point-Teaching: Weakly Semi-Supervised Object Detection with Point Annotations Yongtao Ge, Qiang Zhou, Xinlong Wang, Chunhua Shen, Zhibin Wang, Hao Li

ICCV 2023 Robust Geometry-Preserving Depth Estimation Using Differentiable Rendering Chi Zhang, Wei Yin, Gang Yu, Zhibin Wang, Tao Chen, Bin Fu, Joey Tianyi Zhou, Chunhua Shen

ICCV 2023 SegGPT: Towards Segmenting Everything in Context Xinlong Wang, Xiaosong Zhang, Yue Cao, Wen Wang, Chunhua Shen, Tiejun Huang

ICCV 2023 SegPrompt: Boosting Open-World Segmentation via Category-Level Prompt Learning Muzhi Zhu, Hengtao Li, Hao Chen, Chengxiang Fan, Weian Mao, Chenchen Jing, Yifan Liu, Chunhua Shen

ICCV 2023 Zolly: Zoom Focal Length Correctly for Perspective-Distorted Human Mesh Reconstruction Wenjia Wang, Yongtao Ge, Haiyi Mei, Zhongang Cai, Qingping Sun, Yanjun Wang, Chunhua Shen, Lei Yang, Taku Komura

NeurIPS 2022 Adv-Attribute: Inconspicuous and Transferable Adversarial Attack on Face Recognition Shuai Jia, Bangjie Yin, Taiping Yao, Shouhong Ding, Chunhua Shen, Xiaokang Yang, Chao Ma

CVPR 2022 Boosting Robustness of Image Matting with Context Assembling and Strong Data Augmentation Yutong Dai, Brian Price, He Zhang, Chunhua Shen

CVPR 2022 Catching Both Gray and Black Swans: Open-Set Supervised Anomaly Detection Choubo Ding, Guansong Pang, Chunhua Shen

NeurIPS 2022 DENSE: Data-Free One-Shot Federated Learning Jie Zhang, Chen Chen, Bo Li, Lingjuan Lyu, Shuang Wu, Shouhong Ding, Chunhua Shen, Chao Wu

ECCV 2022 DisCo: Remedying Self-Supervised Learning on Lightweight Models with Distilled Contrastive Learning Yuting Gao, Jia-Xin Zhuang, Shaohui Lin, Hao Cheng, Xing Sun, Ke Li, Chunhua Shen

ECCV 2022 Efficient Decoder-Free Object Detection with Transformers Peixian Chen, Mengdan Zhang, Yunhang Shen, Kekai Sheng, Yuting Gao, Xing Sun, Ke Li, Chunhua Shen

CVPR 2022 FreeSOLO: Learning to Segment Objects Without Annotations Xinlong Wang, Zhiding Yu, Shalini De Mello, Jan Kautz, Anima Anandkumar, Chunhua Shen, Jose M. Alvarez

NeurIPS 2022 Fully Convolutional One-Stage 3D Object Detection on LiDAR Range Images Zhi Tian, Xiangxiang Chu, Xiaoming Wang, Xiaolin Wei, Chunhua Shen

NeurIPS 2022 Hierarchical Normalization for Robust Monocular Depth Estimation Chi Zhang, Wei Yin, Billzb Wang, Gang Yu, Bin Fu, Chunhua Shen

NeurIPS 2022 Multi-Dataset Training of Transformers for Robust Action Recognition Junwei Liang, Enwei Zhang, Jun Zhang, Chunhua Shen

ECCV 2022 PointInst3D: Segmenting 3D Instances by Points Tong He, Wei Yin, Chunhua Shen, Anton van den Hengel

ECCV 2022 Poseur: Direct Human Pose Regression with Transformers Weian Mao, Yongtao Ge, Chunhua Shen, Zhi Tian, Xinlong Wang, Zhibin Wang, Anton van den Hengel

NeurIPS 2022 PyramidCLIP: Hierarchical Feature Alignment for Vision-Language Model Pretraining Yuting Gao, Jinfeng Liu, Zihan Xu, Jun Zhang, Ke Li, Rongrong Ji, Chunhua Shen

CVPR 2022 Retrieval Augmented Classification for Long-Tail Visual Recognition Alexander Long, Wei Yin, Thalaiyasingam Ajanthan, Vu Nguyen, Pulak Purkait, Ravi Garg, Alan Blair, Chunhua Shen, Anton van den Hengel

CVPR 2022 RigidFlow: Self-Supervised Scene Flow Learning on Point Clouds by Local Rigidity Prior Ruibo Li, Chi Zhang, Guosheng Lin, Zhe Wang, Chunhua Shen

NeurIPS 2022 SegViT: Semantic Segmentation with Plain Vision Transformers Bowen Zhang, Zhi Tian, Quan Tang, Xiangxiang Chu, Xiaolin Wei, Chunhua Shen, Yifan Liu

NeurIPS 2022 Text-Adaptive Multiple Visual Prototype Matching for Video-Text Retrieval Chengzhi Lin, Ancong Wu, Junwei Liang, Jun Zhang, Wenhang Ge, Wei-Shi Zheng, Chunhua Shen

CVPR 2022 TopFormer: Token Pyramid Transformer for Mobile Semantic Segmentation Wenqiang Zhang, Zilong Huang, Guozhong Luo, Tao Chen, Xinggang Wang, Wenyu Liu, Gang Yu, Chunhua Shen

ICCV 2021 A Simple Baseline for Semi-Supervised Semantic Segmentation with Strong Data Augmentation Jianlong Yuan, Yifan Liu, Chunhua Shen, Zhibin Wang, Hao Li

CVPR 2021 AQD: Towards Accurate Quantized Object Detection Peng Chen, Jing Liu, Bohan Zhuang, Mingkui Tan, Chunhua Shen

ICCV 2021 BV-Person: A Large-Scale Dataset for Bird-View Person Re-Identification Cheng Yan, Guansong Pang, Lei Wang, Jile Jiao, Xuetao Feng, Chunhua Shen, Jingjing Li

CVPR 2021 BoxInst: High-Performance Instance Segmentation with Box Annotations Zhi Tian, Chunhua Shen, Xinlong Wang, Hao Chen

ICCV 2021 Channel-Wise Knowledge Distillation for Dense Prediction Changyong Shu, Yifan Liu, Jianfei Gao, Zheng Yan, Chunhua Shen

CVPR 2021 Dense Contrastive Learning for Self-Supervised Visual Pre-Training Xinlong Wang, Rufeng Zhang, Chunhua Shen, Tao Kong, Lei Li

AAAI 2021 Diverse Knowledge Distillation for End-to-End Person Search Xinyu Zhang, Xinlong Wang, Jia-Wang Bian, Chunhua Shen, Mingyu You

CVPR 2021 DoDNet: Learning to Segment Multi-Organ and Tumors from Multiple Partially Labeled Datasets Jianpeng Zhang, Yutong Xie, Yong Xia, Chunhua Shen

CVPR 2021 DyCo3D: Robust Instance Segmentation of 3D Point Clouds Through Dynamic Convolution Tong He, Chunhua Shen, Anton van den Hengel

NeurIPS 2021 Dynamic Neural Representational Decoders for High-Resolution Semantic Segmentation Bowen Zhang, Yifan Liu, Zhi Tian, Chunhua Shen

CVPR 2021 End-to-End Video Instance Segmentation with Transformers Yuqing Wang, Zhaoliang Xu, Xinlong Wang, Chunhua Shen, Baoshan Cheng, Hao Shen, Huaxia Xia

ICCV 2021 FATNN: Fast and Accurate Ternary Neural Networks Peng Chen, Bohan Zhuang, Chunhua Shen

CVPR 2021 FCPose: Fully Convolutional Multi-Person Pose Estimation with Dynamic Instance-Aware Convolutions Weian Mao, Zhi Tian, Xinlong Wang, Chunhua Shen

CVPR 2021 Feature Decomposition and Reconstruction Learning for Effective Facial Expression Recognition Delian Ruan, Yan Yan, Shenqi Lai, Zhenhua Chai, Chunhua Shen, Hanzi Wang

CVPR 2021 Generic Perceptual Loss for Modeling Structured Output Dependencies Yifan Liu, Hao Chen, Yu Chen, Wei Yin, Chunhua Shen

CVPR 2021 Graph Attention Tracking Dongyan Guo, Yanyan Shao, Ying Cui, Zhenhua Wang, Liyan Zhang, Chunhua Shen

CVPR 2021 HCRF-Flow: Scene Flow from Point Clouds with Continuous High-Order CRFs and Position-Aware Flow Embedding Ruibo Li, Guosheng Lin, Tong He, Fayao Liu, Chunhua Shen

CVPR 2021 Learning Affinity-Aware Upsampling for Deep Image Matting Yutong Dai, Hao Lu, Chunhua Shen

CVPR 2021 Learning Spatial-Semantic Relationship for Facial Attribute Recognition with Limited Labeled Data Ying Shu, Yan Yan, Si Chen, Jing-Hao Xue, Chunhua Shen, Hanzi Wang

CVPR 2021 Learning to Recover 3D Scene Shape from a Single Image Wei Yin, Jianming Zhang, Oliver Wang, Simon Niklaus, Long Mai, Simon Chen, Chunhua Shen

ICCV 2021 Meta Navigator: Search for a Good Adaptation Policy for Few-Shot Learning Chi Zhang, Henghui Ding, Guosheng Lin, Ruibo Li, Changhu Wang, Chunhua Shen

ICCV 2021 Occluded Person Re-Identification with Single-Scale Global Representations Cheng Yan, Guansong Pang, Jile Jiao, Xiao Bai, Xuetao Feng, Chunhua Shen

AAAI 2021 SA-BNN: State-Aware Binary Neural Network Chunlei Liu, Peng Chen, Bohan Zhuang, Chunhua Shen, Baochang Zhang, Wenrui Ding

NeurIPS 2021 Twins: Revisiting the Design of Spatial Attention in Vision Transformers Xiangxiang Chu, Zhi Tian, Yuqing Wang, Bo Zhang, Haibing Ren, Xiaolin Wei, Huaxia Xia, Chunhua Shen

ECCV 2020 AE TextSpotter: Learning Visual and Linguistic Representation for Ambiguous Text Spotting Wenhai Wang, Xuebo Liu, Xiaozhong Ji, Enze Xie, Ding Liang, ZhiBo Yang, Tong Lu, Chunhua Shen, Ping Luo

WACV 2020 Architecture Search of Dynamic Cells for Semantic Video Segmentation Vladimir Nekrasov, Hao Chen, Chunhua Shen, Ian Reid

ECCV 2020 Conditional Convolutions for Instance Segmentation Zhi Tian, Chunhua Shen, Hao Chen

ECCV 2020 Efficient Semantic Video Segmentation with Per-Frame Inference Yifan Liu, Chunhua Shen, Changqian Yu, Jingdong Wang

ECCV 2020 Instance-Aware Embedding for Point Cloud Instance Segmentation Tong He, Yifan Liu, Chunhua Shen, Xinlong Wang, Changming Sun

ECCV 2020 Learning and Memorizing Representative Prototypes for 3D Point Cloud Semantic and Instance Segmentation Tong He, Dong Gong, Zhi Tian, Chunhua Shen

ECCV 2020 Representative Graph Neural Network Changqian Yu, Yifan Liu, Changxin Gao, Chunhua Shen, Nong Sang

ECCV 2020 SOLO: Segmenting Objects by Locations Xinlong Wang, Tao Kong, Chunhua Shen, Yuning Jiang, Lei Li

NeurIPS 2020 SOLOv2: Dynamic and Fast Instance Segmentation Xinlong Wang, Rufeng Zhang, Tao Kong, Lei Li, Chunhua Shen

ECCV 2020 Scene Text Image Super-Resolution in the Wild Wenjia Wang, Enze Xie, Xuebo Liu, Wenhai Wang, Ding Liang, Chunhua Shen, Xiang Bai

ECCV 2020 Segmenting Transparent Objects in the Wild Enze Xie, Wenjia Wang, Wenhai Wang, Mingyu Ding, Chunhua Shen, Ping Luo

ECCV 2020 Soft Expert Reward Learning for Vision-and-Language Navigation Hu Wang, Qi Wu, Chunhua Shen

AAAI 2020 Task-Aware Monocular Depth Estimation for 3D Object Detection Xinlong Wang, Wei Yin, Tao Kong, Yuning Jiang, Lei Li, Chunhua Shen

WACV 2020 Template-Based Automatic Search of Compact Semantic Segmentation Architectures Vladimir Nekrasov, Chunhua Shen, Ian Reid

IJCAI 2020 Unsupervised Representation Learning by Predicting Random Distances Hu Wang, Guansong Pang, Chunhua Shen, Congbo Ma

AAAI 2020 V-PROM: A Benchmark for Visual Reasoning Using Visual Progressive Matrices Damien Teney, Peng Wang, Jiewei Cao, Lingqiao Liu, Chunhua Shen, Anton van den Hengel

ECCV 2020 Weighing Counts: Sequential Crowd Counting by Reinforcement Learning Liang Liu, Hao Lu, Hongwei Zou, Haipeng Xiong, Zhiguo Cao, Chunhua Shen

IJCAI 2019 Light-Weight Hybrid Convolutional Network for Liver Tumor Segmentation Jianpeng Zhang, Yutong Xie, Pingping Zhang, Hao Chen, Yong Xia, Chunhua Shen

NeurIPS 2019 Multi-Marginal Wasserstein GAN Jiezhang Cao, Langyuan Mo, Yifan Zhang, Kui Jia, Chunhua Shen, Mingkui Tan

AAAI 2019 Show, Attend and Read: A Simple and Strong Baseline for Irregular Text Recognition Hui Li, Peng Wang, Chunhua Shen, Guyu Zhang

NeurIPS 2019 Unsupervised Scale-Consistent Depth and Ego-Motion Learning from Monocular Video Jiawang Bian, Zhichao Li, Naiyan Wang, Huangying Zhan, Chunhua Shen, Ming-Ming Cheng, Ian Reid

ICML 2018 Adversarial Learning with Local Coordinate Coding Jiezhang Cao, Yong Guo, Qingyao Wu, Chunhua Shen, Junzhou Huang, Mingkui Tan

ECCV 2018 Goal-Oriented Visual Question Generation via Intermediate Rewards Junjie Zhang, Qi Wu, Chunhua Shen, Jian Zhang, Jianfeng Lu, Anton van den Hengel

AAAI 2018 HCVRD: A Benchmark for Large-Scale Human-Centered Visual Relationship Detection Bohan Zhuang, Qi Wu, Chunhua Shen, Ian D. Reid, Anton van den Hengel

AAAI 2018 Kill Two Birds with One Stone: Weakly-Supervised Neural Network for Image Annotation and Tag Refinement Junjie Zhang, Qi Wu, Jian Zhang, Chunhua Shen, Jianfeng Lu

ECCV 2018 Learning to Predict Crisp Boundaries Ruoxi Deng, Chunhua Shen, Shengjun Liu, Huibing Wang, Xinru Liu

IJCAI 2018 Salient Object Detection by Lossless Feature Reflection Pingping Zhang, Wei Liu, Huchuan Lu, Chunhua Shen

ICCV 2017 Adversarial PoseNet: A Structure-Aware Convolutional Network for Human Pose Estimation Yu Chen, Chunhua Shen, Xiu-Shen Wei, Lingqiao Liu, Jian Yang

CVPR 2017 Attend in Groups: A Weakly-Supervised Deep Learning Framework for Learning from Web Data Bohan Zhuang, Lingqiao Liu, Yao Li, Chunhua Shen, Ian Reid

IJCAI 2017 Deep Descriptor Transforming for Image Co-Localization Xiu-Shen Wei, Chen-Lin Zhang, Yao Li, Chen-Wei Xie, Jianxin Wu, Chunhua Shen, Zhi-Hua Zhou

IJCAI 2017 Explicit Knowledge-Based Reasoning for Visual Question Answering Peng Wang, Qi Wu, Chunhua Shen, Anthony R. Dick, Anton van den Hengel

CVPR 2017 From Motion Blur to Motion Flow: A Deep Learning Solution for Removing Heterogeneous Motion Blur Dong Gong, Jie Yang, Lingqiao Liu, Yanning Zhang, Ian Reid, Chunhua Shen, Anton van den Hengel, Qinfeng Shi

IJCAI 2017 Learning Multi-Level Region Consistency with Dense Multi-Label Networks for Semantic Segmentation Tong Shen, Guosheng Lin, Chunhua Shen, Ian D. Reid

CVPR 2017 Multi-Attention Network for One Shot Learning Peng Wang, Lingqiao Liu, Chunhua Shen, Zi Huang, Anton van den Hengel, Heng Tao Shen

CVPR 2017 RefineNet: Multi-Path Refinement Networks for High-Resolution Semantic Segmentation Guosheng Lin, Anton Milan, Chunhua Shen, Ian Reid

CVPR 2017 Sequential Person Recognition in Photo Albums with a Recurrent Network Yao Li, Guosheng Lin, Bohan Zhuang, Lingqiao Liu, Chunhua Shen, Anton van den Hengel

CVPR 2017 The VQA-Machine: Learning How to Use Existing Vision Algorithms to Answer New Questions Peng Wang, Qi Wu, Chunhua Shen, Anton van den Hengel

ICCV 2017 Towards Context-Aware Interaction Recognition for Visual Relationship Detection Bohan Zhuang, Lingqiao Liu, Chunhua Shen, Ian Reid

ICCV 2017 Towards End-to-End Text Spotting with Convolutional Recurrent Neural Networks Hui Li, Peng Wang, Chunhua Shen

ICCV 2017 When Unsupervised Domain Adaptation Meets Tensor Representations Hao Lu, Lei Zhang, Zhiguo Cao, Wei Wei, Ke Xian, Chunhua Shen, Anton van den Hengel

CVPR 2016 Ask Me Anything: Free-Form Visual Question Answering Based on Knowledge from External Sources Qi Wu, Peng Wang, Chunhua Shen, Anthony Dick, Anton van den Hengel

ECCV 2016 Cluster Sparsity Field for Hyperspectral Imagery Denoising Lei Zhang, Wei Wei, Yanning Zhang, Chunhua Shen, Anton van den Hengel, Qinfeng Shi

CVPR 2016 Efficient Piecewise Training of Deep Structured Models for Semantic Segmentation Guosheng Lin, Chunhua Shen, Anton van den Hengel, Ian Reid

CVPR 2016 Fast Training of Triplet-Based Deep Binary Embedding Networks Bohan Zhuang, Guosheng Lin, Chunhua Shen, Ian Reid

ECCV 2016 Image Co-Localization by Mimicking a Good Detector's Confidence Score Distribution Yao Li, Lingqiao Liu, Chunhua Shen, Anton van den Hengel

NeurIPS 2016 Image Restoration Using Very Deep Convolutional Encoder-Decoder Networks with Symmetric Skip Connections Xiaojiao Mao, Chunhua Shen, Yu-Bin Yang

CVPR 2016 Less Is More: Zero-Shot Learning from Online Textual Documents with Noise Suppression Ruizhi Qiao, Lingqiao Liu, Chunhua Shen, Anton van den Hengel

CVPR 2016 What Value Do Explicit High Level Concepts Have in Vision to Language Problems? Qi Wu, Chunhua Shen, Lingqiao Liu, Anthony Dick, Anton van den Hengel

CVPR 2016 What's Wrong with That Object? Identifying Images of Unusual Objects by Modelling the Detection Score Distribution Peng Wang, Lingqiao Liu, Chunhua Shen, Zi Huang, Anton van den Hengel, Heng Tao Shen

CVPR 2015 Deep Convolutional Neural Fields for Depth Estimation from a Single Image Fayao Liu, Chunhua Shen, Guosheng Lin

NeurIPS 2015 Deeply Learning the Messages in Message Passing Inference Guosheng Lin, Chunhua Shen, Ian Reid, Anton van den Hengel

CVPR 2015 Depth and Surface Normal Estimation from Monocular Images Using Regression on Deep Features and Hierarchical CRFs Bo Li, Chunhua Shen, Yuchao Dai, Anton van den Hengel, Mingyi He

CVPR 2015 Efficient SDP Inference for Fully-Connected CRFs Based on Low-Rank Decomposition Peng Wang, Chunhua Shen, Anton van den Hengel

ICCV 2015 Hyperspectral Compressive Sensing Using Manifold-Structured Sparsity Prior Lei Zhang, Wei Wei, Yanning Zhang, Fei Li, Chunhua Shen, Qinfeng Shi

CVPR 2015 Learning Graph Structure for Multi-Label Image Classification via Clique Generation Mingkui Tan, Qinfeng Shi, Anton van den Hengel, Chunhua Shen, Junbin Gao, Fuyuan Hu, Zhen Zhang

CVPR 2015 Learning to Rank in Person Re-Identification with Metric Ensembles Sakrapee Paisitkriangkrai, Chunhua Shen, Anton van den Hengel

CVPR 2015 Mid-Level Deep Pattern Mining Yao Li, Lingqiao Liu, Chunhua Shen, Anton van den Hengel

CVPRW 2015 Sequence Searching with Deep-Learnt Depth for Condition- and Viewpoint-Invariant Route-Based Place Recognition Michael Milford, Stephanie M. Lowry, Niko Sünderhauf, Sareh Shirazi, Edward Pepperell, Ben Upcroft, Chunhua Shen, Guosheng Lin, Fayao Liu, Cesar Cadena, Ian D. Reid

CVPR 2015 Supervised Discrete Hashing Fumin Shen, Chunhua Shen, Wei Liu, Heng Tao Shen

CVPR 2015 The Treasure Beneath Convolutional Layers: Cross-Convolutional-Layer Pooling for Image Classification Lingqiao Liu, Chunhua Shen, Anton van den Hengel

NeurIPS 2014 Encoding High Dimensional Local Features by Sparse Coding Based Fisher Vectors Lingqiao Liu, Chunhua Shen, Lei Wang, Anton van den Hengel, Chao Wang

CVPR 2014 Fast Supervised Hashing with Decision Trees for High-Dimensional Data Guosheng Lin, Chunhua Shen, Qinfeng Shi, Anton van den Hengel, David Suter

ECCV 2014 Optimizing Ranking Measures for Compact Binary Code Learning Guosheng Lin, Chunhua Shen, Jianxin Wu

ECCV 2014 Strengthening the Effectiveness of Pedestrian Detection with Spatially Pooled Features Sakrapee Paisitkriangkrai, Chunhua Shen, Anton van den Hengel

CVPR 2013 A Fast Semidefinite Approach to Solving Binary Quadratic Problems Peng Wang, Chunhua Shen, Anton van den Hengel

ICCV 2013 A General Two-Step Approach to Learning-Based Hashing Guosheng Lin, Chunhua Shen, David Suter, Anton van den Hengel

CVPR 2013 Bilinear Programming for Human Activity Recognition with Unknown MRF Graphs Zhenhua Wang, Qinfeng Shi, Chunhua Shen, Anton van den Hengel

ICCV 2013 Contextual Hypergraph Modeling for Salient Object Detection Xi Li, Yao Li, Chunhua Shen, Anthony Dick, Anton Van Den Hengel

ICCV 2013 Dictionary Learning and Sparse Coding on Grassmann Manifolds: An Extrinsic Solution Mehrtash Harandi, Conrad Sanderson, Chunhua Shen, Brian C. Lovell

ICCV 2013 Efficient Pedestrian Detection by Directly Optimizing the Partial Area Under the ROC Curve Sakrapee Paisitkriangkrai, Chunhua Shen, Anton Van Den Hengel

CVPR 2013 Inductive Hashing on Manifolds Fumin Shen, Chunhua Shen, Qinfeng Shi, Anton van den Hengel, Zhenmin Tang

CVPR 2013 Learning Compact Binary Codes for Visual Tracking Xi Li, Chunhua Shen, Anthony Dick, Anton van den Hengel

ICML 2013 Learning Hash Functions Using Column Generation Xi Li, Guosheng Lin, Chunhua Shen, Anton Hengel, Anthony Dick

CVPR 2013 Part-Based Visual Tracking with Online Latent Structural Learning Rui Yao, Qinfeng Shi, Chunhua Shen, Yanning Zhang, Anton van den Hengel

ICML 2012 Is Margin Preserved After Random Projection? Qinfeng Shi, Chunhua Shen, Rhys Hill, Anton van den Hengel

CVPR 2012 Non-Sparse Linear Representations for Visual Tracking with Online Reservoir Metric Learning Xi Li, Chunhua Shen, Qinfeng Shi, Anthony R. Dick, Anton van den Hengel

JMLR 2012 Positive Semidefinite Metric Learning Using Boosting-like Algorithms Chunhua Shen, Junae Kim, Lei Wang, Anton van den Hengel

ECCV 2012 Robust Tracking with Weighted Online Structured Learning Rui Yao, Qinfeng Shi, Chunhua Shen, Yanning Zhang, Anton van den Hengel

CVPR 2012 Sharing Features in Multi-Class Boosting via Group Sparsity Sakrapee Paisitkriangkrai, Chunhua Shen, Anton van den Hengel

CVPR 2011 A Direct Formulation for Totally-Corrective Multi-Class Boosting Chunhua Shen, Zhihui Hao

CVPR 2011 A Generalized Probabilistic Framework for Compact Codebook Creation Lingqiao Liu, Lei Wang, Chunhua Shen

CVPR 2011 A Scalable Dual Approach to Semidefinite Metric Learning Chunhua Shen, Junae Kim, Lei Wang

AAAI 2011 Efficiently Learning a Distance Metric for Large Margin Nearest Neighbor Classification Kyoungup Park, Chunhua Shen, Zhihui Hao, Junae Kim

ICCV 2011 Graph Mode-Based Contextual Kernels for Robust SVM Tracking Xi Li, Anthony R. Dick, Hanzi Wang, Chunhua Shen, Anton van den Hengel

CVPR 2011 Is Face Recognition Really a Compressive Sensing Problem? Qinfeng Shi, Anders P. Eriksson, Anton van den Hengel, Chunhua Shen

CVPR 2011 Real-Time Visual Tracking Using Compressive Sensing Hanxi Li, Chunhua Shen, Qinfeng Shi

ECCV 2010 LACBoost and FisherBoost: Optimally Building Cascade Classifiers Chunhua Shen, Peng Wang, Hanxi Li

CVPR 2010 Rapid Face Recognition Using Hashing Qinfeng Shi, Hanxi Li, Chunhua Shen

CVPR 2009 Efficiently Training a Better Visual Detector with Sparse Eigenvectors Sakrapee Paisitkriangkrai, Chunhua Shen, Jian Zhang

NeurIPS 2009 Positive Semidefinite Metric Learning with Boosting Chunhua Shen, Junae Kim, Lei Wang, Anton Hengel

ECCV 2008 A Fast Algorithm for Creating a Compact and Discriminative Visual Codebook Lei Wang, Luping Zhou, Chunhua Shen

NeurIPS 2008 PSDBoost: Matrix-Generation Linear Programming for Positive Semidefinite Matrices Learning Chunhua Shen, Alan Welsh, Lei Wang

CVPR 2007 Kernel-Based Tracking from a Probabilistic Viewpoint Quang Anh Nguyen, Antonio Robles-Kelly, Chunhua Shen

ICCV 2005 Fast Global Kernel Density Mode Seeking with Application to Localisation and Tracking Chunhua Shen, Michael J. Brooks, Anton van den Hengel