| 2026 | AAAI | ODYSSEY: Open-World Quadrupeds Exploration and Manipulation for Long-Horizon Tasks. | Kaijun Wang, Liqin Lu, Mingyu Liu, Jianuo Jiang, Zeju Li, Bolin Zhang, Wancai Zheng, Xinyi Yu, Hao Chen, Chunhua Shen |
| 2026 | ACL | Beyond Hard Masks: Progressive Token Evolution for Diffusion Language Models. | Linhao Zhong, Linyu Wu, Bozhen Fang, Tianjian Feng, Chenchen Jing, Wen Wang, Jiaheng Zhang, Hao Chen, Chunhua Shen |
| 2026 | ACL | Efficient Self-Evaluation for Diffusion Language Models via Sequence Regeneration. | Linhao Zhong, Linyu Wu, Wen Wang, Yuling Xi, Chenchen Jing, Jiaheng Zhang, Hao Chen, Chunhua Shen |
| 2026 | SIGGRAPH | AGILE: Hand-object Interaction Reconstruction from Video via Agentic Generation. | Jin-Chuan Shi, Binhong Ye, Tao Liu, Xiaoyang Liu, Yangjinhui Xu, Junzhe He, Zeju Li, Hao Chen, Chunhua Shen |
| 2025 | AAAI | 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 |
| 2025 | CVPR | 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 |
| 2025 | CVPR | 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 |
| 2025 | ICCV | SMStracker: Tri-Path Score Mask Sigma Fusion for Multi-Modal Tracking. | Sixian Chan, Zedong Li, Wenhao Li, Shijian Lu, Chunhua Shen, Xiaoqin Zhang |
| 2025 | ICCV | SurfaceSplat: Connecting Surface Reconstruction and Gaussian Splatting. | Zihui Gao, Jia-Wang Bian, Guosheng Lin, Hao Chen, Chunhua Shen |
| 2025 | ICCV | 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 |
| 2025 | ICCV | 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 |
| 2025 | ICCV | Fine-Grained Abnormality Prompt Learning for Zero-Shot Anomaly Detection. | Jiawen Zhu, Yew-Soon Ong, Chunhua Shen, Guansong Pang |
| 2025 | ICCV | 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 |
| 2025 | ICLR | Framer: Interactive Frame Interpolation. | Wen Wang, Qiuyu Wang, Kecheng Zheng, Hao Ouyang, Zhekai Chen, Biao Gong, Hao Chen, Yujun Shen, Chunhua Shen |
| 2025 | ICLR | 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 |
| 2025 | ICLR | PerturboLLaVA: Reducing Multimodal Hallucinations with Perturbative Visual Training. | Cong Chen, Mingyu Liu, Chenchen Jing, Yizhou Zhou, Fengyun Rao, Hao Chen, Bo Zhang, Chunhua Shen |
| 2025 | ICLR | 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 |
| 2025 | ICLR | 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 |
| 2025 | ICLR | 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 |
| 2025 | ICLR | MovieDreamer: Hierarchical Generation for Coherent Long Visual Sequences. | Canyu Zhao, Mingyu Liu, Wen Wang, Weihua Chen, Fan Wang, Hao Chen, Bo Zhang, Chunhua Shen |
| 2025 | ICML | Physics Aware Neural Networks for Unsupervised Binding Energy Prediction. | Ke Liu, Hao Cheng, Chunhua Shen |
| 2025 | IJCAI | Seeing the Unseen: Composing Outliers for Compositional Zero-Shot Learning. | Chenchen Jing, Mingyu Liu, Hao Chen, Yuling Xi, Xingyuan Bu, Dong Gong, Chunhua Shen |
| 2025 | SIGGRAPH | Generative Video Matting. | Yongtao Ge, Kangyang Xie, Guangkai Xu, Li Ke, Mingyu Liu, Longtao Huang, Hui Xue, Hao Chen, Chunhua Shen |
| 2024 | AAAI | Retrieval-Augmented Primitive Representations for Compositional Zero-Shot Learning. | Chenchen Jing, Yukun Li, Hao Chen, Chunhua Shen |
| 2024 | AAAI | PointAttN: You Only Need Attention for Point Cloud Completion. | Jun Wang, Ying Cui, Dongyan Guo, Junxia Li, Qingshan Liu, Chunhua Shen |
| 2024 | ACL | Enhanced Visual Instruction Tuning with Synthesized Image-Dialogue Data. | Yanda Li, Chi Zhang, Gang Yu, Wanqi Yang, Zhibin Wang, Bin Fu, Guosheng Lin, Chunhua Shen, Ling Chen, Yunchao Wei |
| 2024 | ACL | LoRAPrune: Structured Pruning Meets Low-Rank Parameter-Efficient Fine-Tuning. | Mingyang Zhang, Hao Chen, Chunhua Shen, Zhen Yang, Linlin Ou, Xinyi Yu, Bohan Zhuang |
| 2024 | CVPR | FreeCustom: Tuning-Free Customized Image Generation for Multi-Concept Composition. | Ganggui Ding, Canyu Zhao, Wen Wang, Zhen Yang, Zide Liu, Hao Chen, Chunhua Shen |
| 2024 | CVPR | 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 |
| 2024 | CVPR | Traffic Scene Parsing Through the TSP6K Dataset. | Peng-Tao Jiang, Yuqi Yang, Yang Cao, Qibin Hou, Ming-Ming Cheng, Chunhua Shen |
| 2024 | ECCV | FreeCompose: Generic Zero-Shot Image Composition with Diffusion Prior. | Zhekai Chen, Wen Wang, Zhen Yang, Zeqing Yuan, Hao Chen, Chunhua Shen |
| 2024 | ECCV | VisionLLaMA: A Unified LLaMA Backbone for Vision Tasks. | Xiangxiang Chu, Jianlin Su, Bo Zhang, Chunhua Shen |
| 2024 | ICLR | Object-Aware Inversion and Reassembly for Image Editing. | Zhen Yang, Ganggui Ding, Wen Wang, Hao Chen, Bohan Zhuang, Chunhua Shen |
| 2024 | ICLR | Matcher: Segment Anything with One Shot Using All-Purpose Feature Matching. | Yang Liu, Muzhi Zhu, Hengtao Li, Hao Chen, Xinlong Wang, Chunhua Shen |
| 2024 | ICLR | De novo Protein Design Using Geometric Vector Field Networks. | Weian Mao, Muzhi Zhu, Zheng Sun, Shuaike Shen, Lin Yuanbo Wu, Hao Chen, Chunhua Shen |
| 2024 | ICML | On the Trajectory Regularity of ODE-based Diffusion Sampling. | Defang Chen, Zhenyu Zhou, Can Wang, Chunhua Shen, Siwei Lyu |
| 2024 | ICML | Floating Anchor Diffusion Model for Multi-motif Scaffolding. | Ke Liu, Weian Mao, Shuaike Shen, Xiaoran Jiao, Zheng Sun, Hao Cheng, Chunhua Shen |
| 2024 | ICML | Generative Active Learning for Long-tailed Instance Segmentation. | Muzhi Zhu, Chengxiang Fan, Hao Chen, Yang Liu, Weian Mao, Xiaogang Xu, Chunhua Shen |
| 2023 | AAAI | Point-Teaching: Weakly Semi-supervised Object Detection with Point Annotations. | Yongtao Ge, Qiang Zhou, Xinlong Wang, Chunhua Shen, Zhibin Wang, Hao Li |
| 2023 | AAAI | 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 |
| 2023 | CVPR | Learning Conditional Attributes for Compositional Zero-Shot Learning. | Qingsheng Wang, Lingqiao Liu, Chenchen Jing, Hao Chen, Guoqiang Liang, Peng Wang, Chunhua Shen |
| 2023 | CVPR | Images Speak in Images: A Generalist Painter for In-Context Visual Learning. | Xinlong Wang, Wen Wang, Yue Cao, Chunhua Shen, Tiejun Huang |
| 2023 | ICCV | 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 |
| 2023 | ICCV | 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 |
| 2023 | ICCV | SegGPT: Towards Segmenting Everything In Context. | Xinlong Wang, Xiaosong Zhang, Yue Cao, Wen Wang, Chunhua Shen, Tiejun Huang |
| 2023 | ICCV | DiffuMask: Synthesizing Images with Pixel-level Annotations for Semantic Segmentation Using Diffusion Models. | Weijia Wu, Yuzhong Zhao, Mike Zheng Shou, Hong Zhou, Chunhua Shen |
| 2023 | ICCV | FrozenRecon: Pose-free 3D Scene Reconstruction with Frozen Depth Models. | Guangkai Xu, Wei Yin, Hao Chen, Chunhua Shen, Kai Cheng, Feng Zhao |
| 2023 | ICCV | 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 |
| 2023 | ICCV | 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 |
| 2023 | ICCV | Generative Prompt Model for Weakly Supervised Object Localization. | Yuzhong Zhao, Qixiang Ye, Weijia Wu, Chunhua Shen, Fang Wan |
| 2023 | ICCV | 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 |
| 2023 | ICLR | Conditional Positional Encodings for Vision Transformers. | Xiangxiang Chu, Zhi Tian, Bo Zhang, Xinlong Wang, Chunhua Shen |
| 2023 | IJCAI | A Survey on Efficient Training of Transformers. | Bohan Zhuang, Jing Liu, Zizheng Pan, Haoyu He, Yuetian Weng, Chunhua Shen |
| 2023 | KDD | Deep Weakly-supervised Anomaly Detection. | Guansong Pang, Chunhua Shen, Huidong Jin, Anton van den Hengel |
| 2022 | CVPR | Boosting Robustness of Image Matting with Context Assembling and Strong Data Augmentation. | Yutong Dai, Brian L. Price, He Zhang, Chunhua Shen |
| 2022 | CVPR | Catching Both Gray and Black Swans: Open-set Supervised Anomaly Detection. | Choubo Ding, Guansong Pang, Chunhua Shen |
| 2022 | CVPR | RigidFlow: Self-Supervised Scene Flow Learning on Point Clouds by Local Rigidity Prior. | Ruibo Li, Chi Zhang, Guosheng Lin, Zhe Wang, Chunhua Shen |
| 2022 | CVPR | 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 |
| 2022 | CVPR | FreeSOLO: Learning to Segment Objects without Annotations. | Xinlong Wang, Zhiding Yu, Shalini De Mello, Jan Kautz, Anima Anandkumar, Chunhua Shen, Jos M. lvarez |
| 2022 | CVPR | TopFormer: Token Pyramid Transformer for Mobile Semantic Segmentation. | Wenqiang Zhang, Zilong Huang, Guozhong Luo, Tao Chen, Xinggang Wang, Wenyu Liu, Gang Yu, Chunhua Shen |
| 2022 | ECCV | Efficient Decoder-Free Object Detection with Transformers. | Peixian Chen, Mengdan Zhang, Yunhang Shen, Kekai Sheng, Yuting Gao, Xing Sun, Ke Li, Chunhua Shen |
| 2022 | ECCV | 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 |
| 2022 | ECCV | PointInst3D: Segmenting 3D Instances by Points. | Tong He, Wei Yin, Chunhua Shen, Anton van den Hengel |
| 2022 | ECCV | Poseur: Direct Human Pose Regression with Transformers. | Weian Mao, Yongtao Ge, Chunhua Shen, Zhi Tian, Xinlong Wang, Zhibin Wang, Anton van den Hengel |
| 2021 | AAAI | SA-BNN: State-Aware Binary Neural Network. | Chunlei Liu, Peng Chen, Bohan Zhuang, Chunhua Shen, Baochang Zhang, Wenrui Ding |
| 2021 | AAAI | Diverse Knowledge Distillation for End-to-End Person Search. | Xinyu Zhang, Xinlong Wang, Jia-Wang Bian, Chunhua Shen, Mingyu You |
| 2021 | CVPR | Learning To Recover 3D Scene Shape From a Single Image. | Wei Yin, Jianming Zhang, Oliver Wang, Simon Niklaus, Long Mai, Simon Chen, Chunhua Shen |
| 2021 | CVPR | AQD: Towards Accurate Quantized Object Detection. | Peng Chen, Jing Liu, Bohan Zhuang, Mingkui Tan, Chunhua Shen |
| 2021 | CVPR | Learning Affinity-Aware Upsampling for Deep Image Matting. | Yutong Dai, Hao Lu, Chunhua Shen |
| 2021 | CVPR | Graph Attention Tracking. | Dongyan Guo, Yanyan Shao, Ying Cui, Zhenhua Wang, Liyan Zhang, Chunhua Shen |
| 2021 | CVPR | DyCo3D: Robust Instance Segmentation of 3D Point Clouds Through Dynamic Convolution. | Tong He, Chunhua Shen, Anton van den Hengel |
| 2021 | CVPR | 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 |
| 2021 | CVPR | Generic Perceptual Loss for Modeling Structured Output Dependencies. | Yifan Liu, Hao Chen, Yu Chen, Wei Yin, Chunhua Shen |
| 2021 | CVPR | FCPose: Fully Convolutional Multi-Person Pose Estimation With Dynamic Instance-Aware Convolutions. | Weian Mao, Zhi Tian, Xinlong Wang, Chunhua Shen |
| 2021 | CVPR | Feature Decomposition and Reconstruction Learning for Effective Facial Expression Recognition. | Delian Ruan, Yan Yan, Shenqi Lai, Zhenhua Chai, Chunhua Shen, Hanzi Wang |
| 2021 | CVPR | 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 |
| 2021 | CVPR | BoxInst: High-Performance Instance Segmentation With Box Annotations. | Zhi Tian, Chunhua Shen, Xinlong Wang, Hao Chen |
| 2021 | CVPR | End-to-End Video Instance Segmentation With Transformers. | Yuqing Wang, Zhaoliang Xu, Xinlong Wang, Chunhua Shen, Baoshan Cheng, Hao Shen, Huaxia Xia |
| 2021 | CVPR | Dense Contrastive Learning for Self-Supervised Visual Pre-Training. | Xinlong Wang, Rufeng Zhang, Chunhua Shen, Tao Kong, Lei Li |
| 2021 | CVPR | DoDNet: Learning To Segment Multi-Organ and Tumors From Multiple Partially Labeled Datasets. | Jianpeng Zhang, Yutong Xie, Yong Xia, Chunhua Shen |
| 2021 | ICCV | Meta Navigator: Search for a Good Adaptation Policy for Few-shot Learning. | Chi Zhang, Henghui Ding, Guosheng Lin, Ruibo Li, Changhu Wang, Chunhua Shen |
| 2021 | ICCV | FATNN: Fast and Accurate Ternary Neural Networks | Peng Chen, Bohan Zhuang, Chunhua Shen |
| 2021 | ICCV | Channel-wise Knowledge Distillation for Dense Prediction | Changyong Shu, Yifan Liu, Jianfei Gao, Zheng Yan, Chunhua Shen |
| 2021 | ICCV | Occluded Person Re-Identification with Single-scale Global Representations. | Cheng Yan, Guansong Pang, Jile Jiao, Xiao Bai, Xuetao Feng, Chunhua Shen |
| 2021 | ICCV | 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 |
| 2021 | ICCV | A Simple Baseline for Semi-supervised Semantic Segmentation with Strong Data Augmentation | Jianlong Yuan, Yifan Liu, Chunhua Shen, Zhibin Wang, Hao Li |
| 2021 | ICRA | FastFlowNet: A Lightweight Network for Fast Optical Flow Estimation. | Lingtong Kong, Chunhua Shen, Jie Yang |
| 2021 | KDD | Toward Deep Supervised Anomaly Detection: Reinforcement Learning from Partially Labeled Anomaly Data. | Guansong Pang, Anton van den Hengel, Chunhua Shen, Longbing Cao |
| 2021 | MICCAI | CoTr: Efficiently Bridging CNN and Transformer for 3D Medical Image Segmentation. | Yutong Xie, Jianpeng Zhang, Chunhua Shen, Yong Xia |
| 2020 | AAAI | 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 |
| 2020 | AAAI | Task-Aware Monocular Depth Estimation for 3D Object Detection. | Xinlong Wang, Wei Yin, Tao Kong, Yuning Jiang, Lei Li, Chunhua Shen |
| 2020 | CVPR | On the General Value of Evidence, and Bilingual Scene-Text Visual Question Answering. | Xinyu Wang, Yuliang Liu, Chunhua Shen, Chun Chet Ng, Canjie Luo, Lianwen Jin, Chee Seng Chan, Anton van den Hengel, Liangwei Wang |
| 2020 | CVPR | BlendMask: Top-Down Meets Bottom-Up for Instance Segmentation. | Hao Chen, Kunyang Sun, Zhi Tian, Chunhua Shen, Yongming Huang, Youliang Yan |
| 2020 | CVPR | ABCNet: Real-Time Scene Text Spotting With Adaptive Bezier-Curve Network. | Yuliang Liu, Hao Chen, Chunhua Shen, Tong He, Lianwen Jin, Liangwei Wang |
| 2020 | CVPR | Self-Trained Deep Ordinal Regression for End-to-End Video Anomaly Detection. | Guansong Pang, Cheng Yan, Chunhua Shen, Anton van den Hengel, Xiao Bai |
| 2020 | CVPR | REVERIE: Remote Embodied Visual Referring Expression in Real Indoor Environments. | Yuankai Qi, Qi Wu, Peter Anderson, Xin Wang, William Yang Wang, Chunhua Shen, Anton van den Hengel |
| 2020 | CVPR | NAS-FCOS: Fast Neural Architecture Search for Object Detection. | Ning Wang, Yang Gao, Hao Chen, Peng Wang, Zhi Tian, Chunhua Shen, Yanning Zhang |
| 2020 | CVPR | PolarMask: Single Shot Instance Segmentation With Polar Representation. | Enze Xie, Peize Sun, Xiaoge Song, Wenhai Wang, Xuebo Liu, Ding Liang, Chunhua Shen, Ping Luo |
| 2020 | CVPR | Context Prior for Scene Segmentation. | Changqian Yu, Jingbo Wang, Changxin Gao, Gang Yu, Chunhua Shen, Nong Sang |
| 2020 | CVPR | DeepEMD: Few-Shot Image Classification With Differentiable Earth Mover's Distance and Structured Classifiers. | Chi Zhang, Yujun Cai, Guosheng Lin, Chunhua Shen |
| 2020 | CVPR | Memory-Efficient Hierarchical Neural Architecture Search for Image Denoising. | Haokui Zhang, Ying Li, Hao Chen, Chunhua Shen |
| 2020 | CVPR | Mask Encoding for Single Shot Instance Segmentation. | Rufeng Zhang, Zhi Tian, Chunhua Shen, Mingyu You, Youliang Yan |
| 2020 | CVPR | Training Quantized Neural Networks With a Full-Precision Auxiliary Module. | Bohan Zhuang, Lingqiao Liu, Mingkui Tan, Chunhua Shen, Ian D. Reid |
| 2020 | ECCV | Learning and Memorizing Representative Prototypes for 3D Point Cloud Semantic and Instance Segmentation. | Tong He, Dong Gong, Zhi Tian, Chunhua Shen |
| 2020 | ECCV | Instance-Aware Embedding for Point Cloud Instance Segmentation. | Tong He, Yifan Liu, Chunhua Shen, Xinlong Wang, Changming Sun |
| 2020 | ECCV | Weighing Counts: Sequential Crowd Counting by Reinforcement Learning. | Liang Liu, Hao Lu, Hongwei Zou, Haipeng Xiong, Zhiguo Cao, Chunhua Shen |
| 2020 | ECCV | Efficient Semantic Video Segmentation with Per-Frame Inference. | Yifan Liu, Chunhua Shen, Changqian Yu, Jingdong Wang |
| 2020 | ECCV | Conditional Convolutions for Instance Segmentation. | Zhi Tian, Chunhua Shen, Hao Chen |
| 2020 | ECCV | 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 |
| 2020 | ECCV | SOLO: Segmenting Objects by Locations. | Xinlong Wang, Tao Kong, Chunhua Shen, Yuning Jiang, Lei Li |
| 2020 | ECCV | Soft Expert Reward Learning for Vision-and-Language Navigation. | Hu Wang, Qi Wu, Chunhua Shen |
| 2020 | ECCV | Scene Text Image Super-Resolution in the Wild. | Wenjia Wang, Enze Xie, Xuebo Liu, Wenhai Wang, Ding Liang, Chunhua Shen, Xiang Bai |
| 2020 | ECCV | Segmenting Transparent Objects in the Wild. | Enze Xie, Wenjia Wang, Wenhai Wang, Mingyu Ding, Chunhua Shen, Ping Luo |
| 2020 | ECCV | Representative Graph Neural Network. | Changqian Yu, Yifan Liu, Changxin Gao, Chunhua Shen, Nong Sang |
| 2020 | IJCAI | Unsupervised Representation Learning by Predicting Random Distances. | Hu Wang, Guansong Pang, Chunhua Shen, Congbo Ma |
| 2020 | MICCAI | Pairwise Relation Learning for Semi-supervised Gland Segmentation. | Yutong Xie, Jianpeng Zhang, Zhibin Liao, Johan Verjans, Chunhua Shen, Yong Xia |
| 2020 | WACV | Architecture Search of Dynamic Cells for Semantic Video Segmentation. | Vladimir Nekrasov, Hao Chen, Chunhua Shen, Ian D. Reid |
| 2020 | WACV | Template-Based Automatic Search of Compact Semantic Segmentation Architectures. | Vladimir Nekrasov, Chunhua Shen, Ian D. Reid |
| 2019 | AAAI | Show, Attend and Read: A Simple and Strong Baseline for Irregular Text Recognition. | Hui Li, Peng Wang, Chunhua Shen, Guyu Zhang |
| 2019 | CVPR | Neighbourhood Watch: Referring Expression Comprehension via Language-Guided Graph Attention Networks. | Peng Wang, Qi Wu, Jiewei Cao, Chunhua Shen, Lianli Gao, Anton van den Hengel |
| 2019 | CVPR | Visual Question Answering as Reading Comprehension. | Hui Li, Peng Wang, Chunhua Shen, Anton van den Hengel |
| 2019 | CVPR | Knowledge Adaptation for Efficient Semantic Segmentation. | Tong He, Chunhua Shen, Zhi Tian, Dong Gong, Changming Sun, Youliang Yan |
| 2019 | CVPR | Fast Neural Architecture Search of Compact Semantic Segmentation Models via Auxiliary Cells. | Vladimir Nekrasov, Hao Chen, Chunhua Shen, Ian D. Reid |
| 2019 | CVPR | Decoders Matter for Semantic Segmentation: Data-Dependent Decoding Enables Flexible Feature Aggregation. | Zhi Tian, Tong He, Chunhua Shen, Youliang Yan |
| 2019 | CVPR | Associatively Segmenting Instances and Semantics in Point Clouds. | Xinlong Wang, Shu Liu, Xiaoyong Shen, Chunhua Shen, Jiaya Jia |
| 2019 | CVPR | Attention-Guided Network for Ghost-Free High Dynamic Range Imaging. | Qingsen Yan, Dong Gong, Qinfeng Shi, Anton van den Hengel, Chunhua Shen, Ian D. Reid, Yanning Zhang |
| 2019 | CVPR | Mind Your Neighbours: Image Annotation With Metadata Neighbourhood Graph Co-Attention Networks. | Junjie Zhang, Qi Wu, Jian Zhang, Chunhua Shen, Jianfeng Lu |
| 2019 | CVPR | CANet: Class-Agnostic Segmentation Networks With Iterative Refinement and Attentive Few-Shot Learning. | Chi Zhang, Guosheng Lin, Fayao Liu, Rui Yao, Chunhua Shen |
| 2019 | CVPR | Structured Binary Neural Networks for Accurate Image Classification and Semantic Segmentation. | Bohan Zhuang, Chunhua Shen, Mingkui Tan, Lingqiao Liu, Ian D. Reid |
| 2019 | ICCV | Indices Matter: Learning to Index for Deep Image Matting. | Hao Lu, Yutong Dai, Chunhua Shen, Songcen Xu |
| 2019 | ICCV | FCOS: Fully Convolutional One-Stage Object Detection. | Zhi Tian, Chunhua Shen, Hao Chen, Tong He |
| 2019 | ICCV | Efficient and Accurate Arbitrary-Shaped Text Detection With Pixel Aggregation Network. | Wenhai Wang, Enze Xie, Xiaoge Song, Yuhang Zang, Wenjia Wang, Tong Lu, Gang Yu, Chunhua Shen |
| 2019 | ICCV | From Open Set to Closed Set: Counting Objects by Spatial Divide-and-Conquer. | Haipeng Xiong, Hao Lu, Chengxin Liu, Liang Liu, Zhiguo Cao, Chunhua Shen |
| 2019 | ICCV | Enforcing Geometric Constraints of Virtual Normal for Depth Prediction. | Wei Yin, Yifan Liu, Chunhua Shen, Youliang Yan |
| 2019 | ICCV | Exploiting Temporal Consistency for Real-Time Video Depth Estimation. | Haokui Zhang, Ying Li, Yuanzhouhan Cao, Yu Liu, Chunhua Shen, Youliang Yan |
| 2019 | ICCV | Self-Training With Progressive Augmentation for Unsupervised Cross-Domain Person Re-Identification. | Xinyu Zhang, Jiewei Cao, Chunhua Shen, Mingyu You |
| 2019 | IJCAI | Light-Weight Hybrid Convolutional Network for Liver Tumor Segmentation. | Jianpeng Zhang, Yutong Xie, Pingping Zhang, Hao Chen, Yong Xia, Chunhua Shen |
| 2019 | ICRA | Real-Time Joint Semantic Segmentation and Depth Estimation Using Asymmetric Annotations. | Vladimir Nekrasov, Thanuja Dharmasiri, Andrew Spek, Tom Drummond, Chunhua Shen, Ian D. Reid |
| 2019 | KDD | Deep Anomaly Detection with Deviation Networks. | Guansong Pang, Chunhua Shen, Anton van den Hengel |
| 2019 | MICCAI | Deep Segmentation-Emendation Model for Gland Instance Segmentation. | Yutong Xie, Hao Lu, Jianpeng Zhang, Chunhua Shen, Yong Xia |
| 2018 | AAAI | 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 |
| 2018 | AAAI | HCVRD: A Benchmark for Large-Scale Human-Centered Visual Relationship Detection. | Bohan Zhuang, Qi Wu, Chunhua Shen, Ian D. Reid, Anton van den Hengel |
| 2018 | ACCV | Deep Attention-Based Classification Network for Robust Depth Prediction. | Ruibo Li, Ke Xian, Chunhua Shen, Zhiguo Cao, Hao Lu, Lingxiao Hang |
| 2018 | ACCV | Coarse-to-Fine: A RNN-Based Hierarchical Attention Model for Vehicle Re-identification. | Xiu-Shen Wei, Chen-Lin Zhang, Lingqiao Liu, Chunhua Shen, Jianxin Wu |
| 2018 | BMVC | A Hybrid Probabilistic Model for Camera Relocalization. | Ming Cai, Chunhua Shen, Ian Reid |
| 2018 | BMVC | Light-Weight RefineNet for Real-Time Semantic Segmentation. | Vladimir Nekrasov, Chunhua Shen, Ian Reid |
| 2018 | CVPR | Visual Question Answering With Memory-Augmented Networks. | Chao Ma, Chunhua Shen, Anthony R. Dick, Qi Wu, Peng Wang, Anton van den Hengel, Ian D. Reid |
| 2018 | CVPR | FSRNet: End-to-End Learning Face Super-Resolution With Facial Priors. | Yu Chen, Ying Tai, Xiaoming Liu, Chunhua Shen, Jian Yang |
| 2018 | CVPR | An End-to-End TextSpotter With Explicit Alignment and Attention. | Tong He, Zhi Tian, Weilin Huang, Chunhua Shen, Yu Qiao, Changming Sun |
| 2018 | CVPR | Bootstrapping the Performance of Webly Supervised Semantic Segmentation. | Tong Shen, Guosheng Lin, Chunhua Shen, Ian D. Reid |
| 2018 | CVPR | VITAL: VIsual Tracking via Adversarial Learning. | Yibing Song, Chao Ma, Xiaohe Wu, Lijun Gong, Linchao Bao, Wangmeng Zuo, Chunhua Shen, Rynson W. H. Lau, Ming-Hsuan Yang |
| 2018 | CVPR | Repulsion Loss: Detecting Pedestrians in a Crowd. | Xinlong Wang, Tete Xiao, Yuning Jiang, Shuai Shao, Jian Sun, Chunhua Shen |
| 2018 | CVPR | Are You Talking to Me? Reasoned Visual Dialog Generation Through Adversarial Learning. | Qi Wu, Peng Wang, Chunhua Shen, Ian D. Reid, Anton van den Hengel |
| 2018 | CVPR | Monocular Relative Depth Perception With Web Stereo Data Supervision. | Ke Xian, Chunhua Shen, Zhiguo Cao, Hao Lu, Yang Xiao, Ruibo Li, Zhenbo Luo |
| 2018 | CVPR | Towards Effective Low-Bitwidth Convolutional Neural Networks. | Bohan Zhuang, Chunhua Shen, Mingkui Tan, Lingqiao Liu, Ian D. Reid |
| 2018 | CVPR | Parallel Attention: A Unified Framework for Visual Object Discovery Through Dialogs and Queries. | Bohan Zhuang, Qi Wu, Chunhua Shen, Ian D. Reid, Anton van den Hengel |
| 2018 | ECCV | Learning to Predict Crisp Boundaries. | Ruoxi Deng, Chunhua Shen, Shengjun Liu, Huibing Wang, Xinru Liu |
| 2018 | ECCV | Goal-Oriented Visual Question Generation via Intermediate Rewards. | Junjie Zhang, Qi Wu, Chunhua Shen, Jian Zhang, Jianfeng Lu, Anton van den Hengel |
| 2018 | ICASSP | Learning Deep Representations Using Convolutional Auto-Encoders with Symmetric Skip Connections. | Lian-Feng Dong, Yuan-Zhu Gan, Xiao-Jiao Mao, Yu-Bin Yang, Chunhua Shen |
| 2018 | ICML | Adversarial Learning with Local Coordinate Coding. | Jiezhang Cao, Yong Guo, Qingyao Wu, Chunhua Shen, Junzhou Huang, Mingkui Tan |
| 2018 | IJCAI | Salient Object Detection by Lossless Feature Reflection. | Pingping Zhang, Wei Liu, Huchuan Lu, Chunhua Shen |
| 2017 | BMVC | Weakly Supervised Semantic Segmentation Based on Co-segmentation. | Tong Shen, Guosheng Lin, Lingqiao Liu, Chunhua Shen, Ian Reid |
| 2017 | CVPR | From Motion Blur to Motion Flow: A Deep Learning Solution for Removing Heterogeneous Motion Blur. | Dong Gong, Jie Yang, Lingqiao Liu, Yanning Zhang, Ian D. Reid, Chunhua Shen, Anton van den Hengel, Qinfeng Shi |
| 2017 | CVPR | Sequential Person Recognition in Photo Albums with a Recurrent Network. | Yao Li, Guosheng Lin, Bohan Zhuang, Lingqiao Liu, Chunhua Shen, Anton van den Hengel |
| 2017 | CVPR | RefineNet: Multi-path Refinement Networks for High-Resolution Semantic Segmentation. | Guosheng Lin, Anton Milan, Chunhua Shen, Ian D. Reid |
| 2017 | CVPR | Multi-attention Network for One Shot Learning. | Peng Wang, Lingqiao Liu, Chunhua Shen, Zi Huang, Anton van den Hengel, Heng Tao Shen |
| 2017 | CVPR | The VQA-Machine: Learning How to Use Existing Vision Algorithms to Answer New Questions. | Peng Wang, Qi Wu, Chunhua Shen, Anton van den Hengel |
| 2017 | CVPR | Attend in Groups: A Weakly-Supervised Deep Learning Framework for Learning from Web Data. | Bohan Zhuang, Lingqiao Liu, Yao Li, Chunhua Shen, Ian D. Reid |
| 2017 | ICCV | Adversarial PoseNet: A Structure-Aware Convolutional Network for Human Pose Estimation. | Yu Chen, Chunhua Shen, Xiu-Shen Wei, Lingqiao Liu, Jian Yang |
| 2017 | ICCV | Semi-Global Weighted Least Squares in Image Filtering. | Wei Liu, Xiaogang Chen, Chunhua Shen, Zhi Liu, Jie Yang |
| 2017 | ICCV | Towards End-to-End Text Spotting with Convolutional Recurrent Neural Networks. | Hui Li, Peng Wang, Chunhua Shen |
| 2017 | ICCV | When Unsupervised Domain Adaptation Meets Tensor Representations. | Hao Lu, Lei Zhang, Zhiguo Cao, Wei Wei, Ke Xian, Chunhua Shen, Anton van den Hengel |
| 2017 | ICCV | Towards Context-Aware Interaction Recognition for Visual Relationship Detection. | Bohan Zhuang, Lingqiao Liu, Chunhua Shen, Ian D. Reid |
| 2017 | IJCAI | Learning Multi-level Region Consistency with Dense Multi-label Networks for Semantic Segmentation. | Tong Shen, Guosheng Lin, Chunhua Shen, Ian D. Reid |
| 2017 | IJCAI | Explicit Knowledge-based Reasoning for Visual Question Answering. | Peng Wang, Qi Wu, Chunhua Shen, Anthony R. Dick, Anton van den Hengel |
| 2017 | IJCAI | 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 |
| 2017 | ICRA | Deep learning features at scale for visual place recognition. | Zetao Chen, Adam Jacobson, Niko Snderhauf, Ben Upcroft, Lingqiao Liu, Chunhua Shen, Ian D. Reid, Michael Milford |
| 2016 | CVPR | Efficient Piecewise Training of Deep Structured Models for Semantic Segmentation. | Guosheng Lin, Chunhua Shen, Anton van den Hengel, Ian D. Reid |
| 2016 | CVPR | Less is More: Zero-Shot Learning from Online Textual Documents with Noise Suppression. | Ruizhi Qiao, Lingqiao Liu, Chunhua Shen, Anton van den Hengel |
| 2016 | CVPR | 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 |
| 2016 | CVPR | What Value Do Explicit High Level Concepts Have in Vision to Language Problems? | Qi Wu, Chunhua Shen, Lingqiao Liu, Anthony R. Dick, Anton van den Hengel |
| 2016 | CVPR | Ask Me Anything: Free-Form Visual Question Answering Based on Knowledge from External Sources. | Qi Wu, Peng Wang, Chunhua Shen, Anthony R. Dick, Anton van den Hengel |
| 2016 | CVPR | Fast Training of Triplet-Based Deep Binary Embedding Networks. | Bohan Zhuang, Guosheng Lin, Chunhua Shen, Ian D. Reid |
| 2016 | DICTA | SLNSW-UTS: A Historical Image Dataset for Image Multi-Labeling and Retrieval. | Junjie Zhang, Jian Zhang, Jianfeng Lu, Chunhua Shen, Kate Curr, Robin Phua, Richard Neville, Elise Edmonds |
| 2016 | ECCV | Image Co-localization by Mimicking a Good Detector's Confidence Score Distribution. | Yao Li, Lingqiao Liu, Chunhua Shen, Anton van den Hengel |
| 2016 | ECCV | Cluster Sparsity Field for Hyperspectral Imagery Denoising. | Lei Zhang, Wei Wei, Yanning Zhang, Chunhua Shen, Anton van den Hengel, Qinfeng Shi |
| 2015 | CVPR | Mid-level deep pattern mining. | Yao Li, Lingqiao Liu, Chunhua Shen, Anton van den Hengel |
| 2015 | CVPR | 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 |
| 2015 | CVPR | The treasure beneath convolutional layers: Cross-convolutional-layer pooling for image classification. | Lingqiao Liu, Chunhua Shen, Anton van den Hengel |
| 2015 | CVPR | Deep convolutional neural fields for depth estimation from a single image. | Fayao Liu, Chunhua Shen, Guosheng Lin |
| 2015 | CVPR | Sequence searching with deep-learnt depth for condition- and viewpoint-invariant route-based place recognition. | Michael Milford, Stephanie M. Lowry, Niko Snderhauf, Sareh Shirazi, Edward Pepperell, Ben Upcroft, Chunhua Shen, Guosheng Lin, Fayao Liu, Cesar Cadena, Ian D. Reid |
| 2015 | CVPR | Learning to rank in person re-identification with metric ensembles. | Sakrapee Paisitkriangkrai, Chunhua Shen, Anton van den Hengel |
| 2015 | CVPR | Supervised Discrete Hashing. | Fumin Shen, Chunhua Shen, Wei Liu, Heng Tao Shen |
| 2015 | CVPR | 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 |
| 2015 | CVPR | Efficient SDP inference for fully-connected CRFs based on low-rank decomposition. | Peng Wang, Chunhua Shen, Anton van den Hengel |
| 2015 | ICCV | Hyperspectral Compressive Sensing Using Manifold-Structured Sparsity Prior. | Lei Zhang, Wei Wei, Yanning Zhang, Fei Li, Chunhua Shen, Qinfeng Shi |
| 2014 | CVPR | Fast Supervised Hashing with Decision Trees for High-Dimensional Data. | Guosheng Lin, Chunhua Shen, Qinfeng Shi, Anton van den Hengel, David Suter |
| 2014 | ECCV | Optimizing Ranking Measures for Compact Binary Code Learning. | Guosheng Lin, Chunhua Shen, Jianxin Wu |
| 2014 | ECCV | Strengthening the Effectiveness of Pedestrian Detection with Spatially Pooled Features. | Sakrapee Paisitkriangkrai, Chunhua Shen, Anton van den Hengel |
| 2013 | CVPR | Learning Compact Binary Codes for Visual Tracking. | Xi Li, Chunhua Shen, Anthony R. Dick, Anton van den Hengel |
| 2013 | CVPR | Inductive Hashing on Manifolds. | Fumin Shen, Chunhua Shen, Qinfeng Shi, Anton van den Hengel, Zhenmin Tang |
| 2013 | CVPR | A Fast Semidefinite Approach to Solving Binary Quadratic Problems. | Peng Wang, Chunhua Shen, Anton van den Hengel |
| 2013 | CVPR | Bilinear Programming for Human Activity Recognition with Unknown MRF Graphs. | Zhenhua Wang, Qinfeng Shi, Chunhua Shen, Anton van den Hengel |
| 2013 | CVPR | Part-Based Visual Tracking with Online Latent Structural Learning. | Rui Yao, Qinfeng Shi, Chunhua Shen, Yanning Zhang, Anton van den Hengel |
| 2013 | ICCV | Dictionary Learning and Sparse Coding on Grassmann Manifolds: An Extrinsic Solution. | Mehrtash Tafazzoli Harandi, Conrad Sanderson, Chunhua Shen, Brian C. Lovell |
| 2013 | ICCV | Contextual Hypergraph Modeling for Salient Object Detection. | Xi Li, Yao Li, Chunhua Shen, Anthony R. Dick, Anton van den Hengel |
| 2013 | ICCV | A General Two-Step Approach to Learning-Based Hashing. | Guosheng Lin, Chunhua Shen, David Suter, Anton van den Hengel |
| 2013 | ICCV | Efficient Pedestrian Detection by Directly Optimizing the Partial Area under the ROC Curve. | Sakrapee Paisitkriangkrai, Chunhua Shen, Anton van den Hengel |
| 2013 | ICIP | Approximate constraint generation for efficient structured boosting. | Guosheng Lin, Chunhua Shen, Anton van den Hengel |
| 2013 | ICIP | Leveraging surrounding context for scene text detection. | Yao Li, Chunhua Shen, Wenjing Jia, Anton van den Hengel |
| 2013 | ICIP | Extended depth-of-field via focus stacking and graph cuts. | Chao Zhang, John W. Bastian, Chunhua Shen, Anton van den Hengel, Tingzhi Shen |
| 2013 | ICML | Learning Hash Functions Using Column Generation. | Xi Li, Guosheng Lin, Chunhua Shen, Anton van den Hengel, Anthony R. Dick |
| 2012 | ACCV | Fast Training of Effective Multi-class Boosting Using Coordinate Descent Optimization. | Guosheng Lin, Chunhua Shen, Anton van den Hengel, David Suter |
| 2012 | CVPR | 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 |
| 2012 | CVPR | Sharing features in multi-class boosting via group sparsity. | Sakrapee Paisitkriangkrai, Chunhua Shen, Anton van den Hengel |
| 2012 | ECCV | Robust Tracking with Weighted Online Structured Learning. | Rui Yao, Qinfeng Shi, Chunhua Shen, Yanning Zhang, Anton van den Hengel |
| 2012 | ICML | Is margin preserved after random projection?. | Qinfeng Shi, Chunhua Shen, Rhys Hill, Anton van den Hengel |
| 2011 | AAAI | Efficiently Learning a Distance Metric for Large Margin Nearest Neighbor Classification. | Kyoungup Park, Chunhua Shen, Zhihui Hao, Junae Kim |
| 2011 | CVPR | Real-time visual tracking using compressive sensing. | Hanxi Li, Chunhua Shen, Qinfeng Shi |
| 2011 | CVPR | A generalized probabilistic framework for compact codebook creation. | Lingqiao Liu, Lei Wang, Chunhua Shen |
| 2011 | CVPR | A direct formulation for totally-corrective multi-class boosting. | Chunhua Shen, Zhihui Hao |
| 2011 | CVPR | A scalable dual approach to semidefinite metric learning. | Chunhua Shen, Junae Kim, Lei Wang |
| 2011 | CVPR | Is face recognition really a Compressive Sensing problem? | Qinfeng Shi, Anders P. Eriksson, Anton van den Hengel, Chunhua Shen |
| 2011 | DICTA | Laplacian Margin Distribution Boosting for Learning from Sparsely Labeled Data. | Tao Wang, Xuming He, Chunhua Shen, Nick Barnes |
| 2011 | DICTA | On the Optimality of Sequential Forward Feature Selection Using Class Separability Measure. | Lei Wang, Chunhua Shen, Richard I. Hartley |
| 2011 | ICCV | Graph mode-based contextual kernels for robust SVM tracking. | Xi Li, Anthony R. Dick, Hanzi Wang, Chunhua Shen, Anton van den Hengel |
| 2010 | ACCV | Totally-Corrective Multi-class Boosting. | Zhihui Hao, Chunhua Shen, Nick Barnes, Bo Wang |
| 2010 | ACCV | Face Detection with Effective Feature Extraction. | Sakrapee Paisitkriangkrai, Chunhua Shen, Jian Zhang |
| 2010 | ACCV | Asymmetric Totally-Corrective Boosting for Real-Time Object Detection. | Peng Wang, Chunhua Shen, Nick Barnes, Hong Zheng, Zhang Ren |
| 2010 | ACCV | Pyramid Center-Symmetric Local Binary/Trinary Patterns for Effective Pedestrian Detection. | Yongbin Zheng, Chunhua Shen, Richard I. Hartley, Xinsheng Huang |
| 2010 | CVPR | Rapid face recognition using hashing. | Qinfeng Shi, Hanxi Li, Chunhua Shen |
| 2010 | DICTA | Robust Face Recognition via Accurate Face Alignment and Sparse Representation. | Hanxi Li, Peng Wang, Chunhua Shen |
| 2010 | ECCV | LACBoost and FisherBoost: Optimally Building Cascade Classifiers. | Chunhua Shen, Peng Wang, Hanxi Li |
| 2010 | ICIP | Training a multi-exit cascade with linear asymmetric classification for efficient object detection. | Peng Wang, Chunhua Shen, Hong Zheng, Zhang Ren |
| 2010 | ICIP | Improved human detection and classification in thermal images. | Weihong Wang, Jian Zhang, Chunhua Shen |
| 2010 | ICIP | Pedestrian Detection Using Center-Symmetric Local Binary Patterns. | Yongbin Zheng, Chunhua Shen, Xinsheng Huang |
| 2010 | MICCAI | Hippocampal Shape Classification Using Redundancy Constrained Feature Selection. | Luping Zhou, Lei Wang, Chunhua Shen, Nick Barnes |
| 2009 | ACCV | A Scalable Algorithm for Learning a Mahalanobis Distance Metric. | Junae Kim, Chunhua Shen, Lei Wang |
| 2009 | ACCV | A Variant of the Trace Quotient Formulation for Dimensionality Reduction. | Peng Wang, Chunhua Shen, Hong Zheng, Zhang Ren |
| 2009 | CVPR | Efficiently training a better visual detector with sparse eigenvectors. | Sakrapee Paisitkriangkrai, Chunhua Shen, Jian Zhang |
| 2009 | DICTA | Smooth Approximation of L_infinity-Norm for Multi-view Geometry. | Yuchao Dai, Hongdong Li, Mingyi He, Chunhua Shen |
| 2009 | DICTA | A Two-Layer Night-Time Vehicle Detector. | Weihong Wang, Chunhua Shen, Jian Zhang, Sakrapee Paisitkriangkrai |
| 2008 | DICTA | Learning Cascaded Reduced-Set SVMs Using Linear Programming. | Junae Kim, Chunhua Shen, Lei Wang |
| 2008 | DICTA | Boosting the Minimum Margin: LPBoost vs. AdaBoost. | Hanxi Li, Chunhua Shen |
| 2008 | DICTA | Multi-view Human Motion Capture with an Improved Deformation Skin Model. | Yifan Lu, Lei Wang, Richard I. Hartley, Hongdong Li, Chunhua Shen |
| 2008 | DICTA | Self-Calibrating Cameras Using Semidefinite Programming. | Chunhua Shen, Hongdong Li, Michael J. Brooks |
| 2008 | ECCV | A Fast Algorithm for Creating a Compact and Discriminative Visual Codebook. | Lei Wang, Luping Zhou, Chunhua Shen |
| 2008 | ICIP | Face detection from few training examples. | Chunhua Shen, Sakrapee Paisitkriangkrai, Jian Zhang |
| 2008 | ISCAS | An experimental study on pedestrian classification using local features. | Sakrapee Paisitkriangkrai, Chunhua Shen, Jian Zhang |
| 2007 | ACCV | A Convex Programming Approach to the Trace Quotient Problem. | Chunhua Shen, Hongdong Li, Michael J. Brooks |
| 2007 | CVPR | Kernel-based Tracking from a Probabilistic Viewpoint. | Quang Anh Nguyen, Antonio Robles-Kelly, Chunhua Shen |
| 2007 | DICTA | Color Image Labelling Using Linear Programming. | Hongdong Li, Chunhua Shen, Zhiying Wen |
| 2007 | DICTA | An Experimental Evaluation of Local Features for Pedestrian Classification. | Sakrapee Paisitkriangkrai, Chunhua Shen, Jian Zhang |
| 2007 | DICTA | Feature Extraction Using Sequential Semidefinite Programming. | Chunhua Shen, Hongdong Li, Michael J. Brooks |
| 2007 | ICIP | Object-Respecting Color Image Segmentation. | Hongdong Li, Chunhua Shen |
| 2006 | AVSS | An LMI Approach for Reliable PTZ Camera Self-Calibration. | Hongdong Li, Chunhua Shen |
| 2006 | AVSS | Enhanced Kernel-Based Tracking for Monochromatic and Thermographic Video. | Quang Anh Nguyen, Antonio Robles-Kelly, Chunhua Shen |
| 2006 | AVSS | Classification-Based Likelihood Functions for Bayesian Tracking. | Chunhua Shen, Hongdong Li, Michael J. Brooks |
| 2005 | ICCV | Fast Global Kernel Density Mode Seeking with Application to Localisation and Tracking. | Chunhua Shen, Michael J. Brooks, Anton van den Hengel |
| 2005 | ICIP | Augmented particle filtering for efficient visual tracking. | Chunhua Shen, Michael J. Brooks, Anton van den Hengel |
| 2005 | ICIP | Visual tracking via efficient kernel discriminant subspace learning. | Chunhua Shen, Anton van den Hengel, Michael J. Brooks |
| 2003 | DICTA | Probabilistic Multiple Cue Integration for Particle Filter Based Tracking. | Chunhua Shen, Anton van den Hengel, Anthony R. Dick |