NesT-NABind: a Nested Transformer for Nucleic Acid-Binding Site Prediction on Protein Surface - Xinyue Ma; Fenglei Li; Qianyu Chen; Shenghua Gao; Fang Bai (J. Chem. Inf. Model., 2025)

Feature Re-Representation and Reliable Pseudo Label Retraining for Cross-Domain Semantic Segmentation - Jing Li; Kang Zhou; Shenhan Qian; Wen Li; Lixin Duan; Shenghua Gao (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

DebSDF: Delving Into the Details and Bias of Neural Indoor Scene Reconstruction - Yuting Xiao; Jingwei Xu; Zehao Yu; Shenghua Gao (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

High-Level Feature Guided Decoding for Semantic Segmentation - Ye Huang; Di Kang; Shenghua Gao; Wen Li; Lixin Duan (IEEE Trans. Circuits Syst. Video Technol., 2024)

Anatomical Prior and Inter-Slice Consistency for Semi-Supervised Vertebral Structure Detection in 3D Ultrasound Volume - Hongye Zeng; Kang Zhou; Songhan Ge; Yuchong Gao; Jianhao Zhao; Shenghua Gao; Rui Zheng (IEEE J. Biomed. Health Informatics, 2024)

RoomDesigner: Encoding Anchor-latents for Style-consistent and Shape-compatible Indoor Scene Generation - Yiqun Zhao; Zibo Zhao; Jing Li; Sixun Dong; Shenghua Gao (International Conference on 3D Vision, 3DV 2024, Davos, Switzerland, March 18-21, 2024, 2024)

Towards Scalable 3D Anomaly Detection and Localization: A Benchmark via 3D Anomaly Synthesis and A Self-Supervised Learning Network - Wenqiao Li; Xiaohao Xu; Yao Gu; Bozhong Zheng; Shenghua Gao; Yingna Wu (IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2024, Seattle, WA, USA, June 16-22, 2024, 2024)

MeshSegmenter: Zero-Shot Mesh Semantic Segmentation via Texture Synthesis - Ziming Zhong; Yanyu Xu; Jing Li; Jiale Xu; Zhengxin Li; Chaohui Yu; Shenghua Gao (Computer Vision - ECCV 2024 - 18th European Conference, Milan, Italy, September 29-October 4, 2024, Proceedings, Part LXXVII, 2024)

HeroMaker: Human-centric Video Editing with Motion Priors - Shiyu Liu; Zibo Zhao; Yihao Zhi; Yiqun Zhao; Binbin Huang; Shuo Wang; Ruoyu Wang; Michael Xuan; Zhengxin Li; Shenghua Gao (Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024 - 1 November 2024, 2024)

GeoFormer: Learning Point Cloud Completion with Tri-Plane Integrated Transformer - Jinpeng Yu; Binbin Huang; Yuxuan Zhang; Huaxia Li; Xu Tang; Shenghua Gao (Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024 - 1 November 2024, 2024)

2D Gaussian Splatting for Geometrically Accurate Radiance Fields - Binbin Huang; Zehao Yu; Anpei Chen; Andreas Geiger; Shenghua Gao (ACM SIGGRAPH 2024 Conference Papers, SIGGRAPH 2024, Denver, CO, USA, 27 July 2024- 1 August 2024, 2024)

TSP-Transformer: Task-Specific Prompts Boosted Transformer for Holistic Scene Understanding - Shuo Wang; Jing Li; Zibo Zhao; Dongze Lian; Binbin Huang; Xiaomei Wang; Zhengxin Li; Shenghua Gao (IEEE/CVF Winter Conference on Applications of Computer Vision, WACV 2024, Waikoloa, HI, USA, January 3-8, 2024, 2024)

MLLM-Tool: A Multimodal Large Language Model For Tool Agent Learning - Chenyu Wang; Weixin Luo; Qianyu Chen; Haonan Mai; Jindi Guo; Sixun Dong; Xiaohua Xuan; Zhengxin Li; Lin Ma; Shenghua Gao (CoRR, 2024)

Bridging 3D Gaussian and Mesh for Freeview Video Rendering - Yuting Xiao; Xuan Wang; Jiafei Li; Hongrui Cai; Yanbo Fan; Nan Xue; Minghui Yang; Yujun Shen; Shenghua Gao (CoRR, 2024)

2D Gaussian Splatting for Geometrically Accurate Radiance Fields - Binbin Huang; Zehao Yu; Anpei Chen; Andreas Geiger; Shenghua Gao (CoRR, 2024)

InstantMesh: Efficient 3D Mesh Generation from a Single Image with Sparse-view Large Reconstruction Models - Jiale Xu; Weihao Cheng; Yiming Gao; Xintao Wang; Shenghua Gao; Ying Shan (CoRR, 2024)

3D StreetUnveiler with Semantic-Aware 2DGS - Jingwei Xu; Yikai Wang; Yiqun Zhao; Yanwei Fu; Shenghua Gao (CoRR, 2024)

FCA-RAC: First Cycle Annotated Repetitive Action Counting - Jiada Lu; Weiwei Zhou; Xiang Qian; Dongze Lian; Yanyu Xu; Weifeng Wang; Lina Cao; Shenghua Gao (CoRR, 2024)

MeshSegmenter: Zero-Shot Mesh Semantic Segmentation via Texture Synthesis - Ziming Zhong; Yanxu Xu; Jing Li; Jiale Xu; Zhengxin Li; Chaohui Yu; Shenghua Gao (CoRR, 2024)

Surfel-based Gaussian Inverse Rendering for Fast and Relightable Dynamic Human Reconstruction from Monocular Video - Yiqun Zhao; Chenming Wu; Binbin Huang; Yihao Zhi; Chen Zhao; Jingdong Wang; Shenghua Gao (CoRR, 2024)

GeoFormer: Learning Point Cloud Completion with Tri-Plane Integrated Transformer - Jinpeng Yu; Binbin Huang; Yuxuan Zhang; Huaxia Li; Xu Tang; Shenghua Gao (CoRR, 2024)

Space-time 2D Gaussian Splatting for Accurate Surface Reconstruction under Complex Dynamic Scenes - Shuo Wang; Binbin Huang; Ruoyu Wang; Shenghua Gao (CoRR, 2024)

CAD-MLLM: Unifying Multimodality-Conditioned CAD Generation With MLLM - Jingwei Xu; Chenyu Wang; Zibo Zhao; Wen Liu; Yi Ma; Shenghua Gao (CoRR, 2024)

Scaling Mesh Generation via Compressive Tokenization - Haohan Weng; Zibo Zhao; Biwen Lei; Xianghui Yang; Jian Liu; Zeqiang Lai; Zhuo Chen; Yuhong Liu; Jie Jiang; Chunchao Guo; Tong Zhang; Shenghua Gao; et al. (CoRR, 2024)

FreeSplatter: Pose-free Gaussian Splatting for Sparse-view 3D Reconstruction - Jiale Xu; Shenghua Gao; Ying Shan (CoRR, 2024)

Multi-Sensor Object Anomaly Detection: Unifying Appearance, Geometry, and Internal Properties - Wenqiao Li; Bozhong Zheng; Xiaohao Xu; Jinye Gan; Fading Lu; Xiang Li; Na Ni; Zheng Tian; Xiaonan Huang; Shenghua Gao; Yingna Wu (CoRR, 2024)

Lifelong Person Re-identification via Knowledge Refreshing and Consolidation - Chunlin Yu; Ye Shi; Zimo Liu; Shenghua Gao; Jingya Wang (Thirty-Seventh AAAI Conference on Artificial Intelligence, AAAI 2023, Thirty-Fifth Conference on Innovative Applications of Artificial Intelligence, IAAI 2023, Thirteenth Symposium on Educational Advances in Artificial Intelligence, EAAI 2023, Washington, DC, USA, February 7-14, 2023, 2023)

Weakly Supervised Video Representation Learning with Unaligned Text for Sequential Videos - Sixun Dong; Huazhang Hu; Dongze Lian; Weixin Luo; Yicheng Qian; Shenghua Gao (IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2023, Vancouver, BC, Canada, June 17-24, 2023, 2023)

Dream3D: Zero-Shot Text-to-3D Synthesis Using 3D Shape Prior and Text-to-Image Diffusion Models - Jiale Xu; Xintao Wang; Weihao Cheng; Yan-Pei Cao; Ying Shan; Xiaohu Qie; Shenghua Gao (IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2023, Vancouver, BC, Canada, June 17-24, 2023, 2023)

PlaneDepth: Self-Supervised Depth Estimation via Orthogonal Planes - Ruoyu Wang; Zehao Yu; Shenghua Gao (IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2023, Vancouver, BC, Canada, June 17-24, 2023, 2023)

LivelySpeaker: Towards Semantic-Aware Co-Speech Gesture Generation - Yihao Zhi; Xiaodong Cun; Xuelin Chen; Xi Shen; Wen Guo; Shaoli Huang; Shenghua Gao (IEEE/CVF International Conference on Computer Vision, ICCV 2023, Paris, France, October 1-6, 2023, 2023)

Revisiting Event-Based Video Frame Interpolation - Jiaben Chen; Yichen Zhu; Dongze Lian; Jiaqi Yang; Yifu Wang; Renrui Zhang; Xinhang Liu; Shenhan Qian; Laurent Kneip; Shenghua Gao (IROS, 2023)

Michelangelo: Conditional 3D Shape Generation based on Shape-Image-Text Aligned Latent Representation - Zibo Zhao; Wen Liu; Xin Chen; Xianfang Zeng; Rui Wang; Pei Cheng; Bin Fu; Tao Chen; Gang Yu; Shenghua Gao (Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, NeurIPS 2023, New Orleans, LA, USA, December 10 - 16, 2023, 2023)

P\(^2\)SDF for Neural Indoor Scene Reconstruction - Jing Li; Jinpeng Yu; Ruoyu Wang; Zhengxin Li; Zhengyu Zhang; Lina Cao; Shenghua Gao (CoRR, 2023)

HFGD: High-level Feature Guided Decoder for Semantic Segmentation - Ye Huang; Di Kang; Shenghua Gao; Wen Li; Lixin Duan (CoRR, 2023)

Weakly Supervised Video Representation Learning with Unaligned Text for Sequential Videos - Sixun Dong; Huazhang Hu; Dongze Lian; Weixin Luo; Yicheng Qian; Shenghua Gao (CoRR, 2023)

Omni-Line-of-Sight Imaging for Holistic Shape Reconstruction - Binbin Huang; Xingyue Peng; Siyuan Shen; Suan Xia; Ruiqian Li; Yanhua Yu; Yuehan Wang; Shenghua Gao; Wenzheng Chen; Shiying Li; Jingyi Yu (CoRR, 2023)

InstructP2P: Learning to Edit 3D Point Clouds with Text Instructions - Jiale Xu; Xintao Wang; Yan-Pei Cao; Weihao Cheng; Ying Shan; Shenghua Gao (CoRR, 2023)

Michelangelo: Conditional 3D Shape Generation based on Shape-Image-Text Aligned Latent Representation - Zibo Zhao; Wen Liu; Xin Chen; Xianfang Zeng; Rui Wang; Pei Cheng; Bin Fu; Tao Chen; Gang Yu; Shenghua Gao (CoRR, 2023)

Revisiting Event-based Video Frame Interpolation - Jiaben Chen; Yichen Zhu; Dongze Lian; Jiaqi Yang; Yifu Wang; Renrui Zhang; Xinhang Liu; Shenhan Qian; Laurent Kneip; Shenghua Gao (CoRR, 2023)

DebSDF: Delving into the Details and Bias of Neural Indoor Scene Reconstruction - Yuting Xiao; Jingwei Xu; Zehao Yu; Shenghua Gao (CoRR, 2023)

LivelySpeaker: Towards Semantic-Aware Co-Speech Gesture Generation - Yihao Zhi; Xiaodong Cun; Xuelin Chen; Xi Shen; Wen Guo; Shaoli Huang; Shenghua Gao (CoRR, 2023)

RoomDesigner: Encoding Anchor-latents for Style-consistent and Shape-compatible Indoor Scene Generation - Yiqun Zhao; Zibo Zhao; Jing Li; Sixun Dong; Shenghua Gao (CoRR, 2023)

TSP-Transformer: Task-Specific Prompts Boosted Transformer for Holistic Scene Understanding - Shuo Wang; Jing Li; Zibo Zhao; Dongze Lian; Binbin Huang; Xiaomei Wang; Zhengxin Li; Shenghua Gao (CoRR, 2023)

Towards Scalable 3D Anomaly Detection and Localization: A Benchmark via 3D Anomaly Synthesis and A Self-Supervised Learning Network - Wenqiao Li; Xiaohao Xu; Yao Gu; Bozhong Zheng; Shenghua Gao; Yingna Wu (CoRR, 2023)

Liquid Warping GAN With Attention: A Unified Framework for Human Image Synthesis - Wen Liu; Zhixin Piao; Zhi Tu; Wenhan Luo; Lin Ma; Shenghua Gao (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Spherical DNNs and Their Applications in 360^\circ\(°\) Images and Videos - Yanyu Xu; Ziheng Zhang; Shenghua Gao (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Future Frame Prediction Network for Video Anomaly Detection - Weixin Luo; Wen Liu; Dongze Lian; Shenghua Gao (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Locating and Counting Heads in Crowds With a Depth Prior - Dongze Lian; Xianing Chen; Jing Li; Weixin Luo; Shenghua Gao (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Proxy-Bridged Image Reconstruction Network for Anomaly Detection in Medical Images - Kang Zhou; Jing Li; Weixin Luo; Zhengxin Li; Jianlong Yang; Huazhu Fu; Jun Cheng; Jiang Liu; Shenghua Gao (IEEE Trans. Medical Imaging, 2022)

Chest X-Ray Diagnostic Quality Assessment: How Much Is Pixel-Wise Supervision Needed? - Junhao Hu; Chenyang Zhang; Kang Zhou; Shenghua Gao (IEEE Trans. Medical Imaging, 2022)

Domain Adversarial Reinforcement Learning for Partial Domain Adaptation - Jin Chen; Xinxiao Wu; Lixin Duan; Shenghua Gao (IEEE Trans. Neural Networks Learn. Syst., 2022)

Memorizing Structure-Texture Correspondence for Image Anomaly Detection - Kang Zhou; Jing Li; Yuting Xiao; Jianlong Yang; Jun Cheng; Wen Liu; Weixin Luo; Jiang Liu; Shenghua Gao (IEEE Trans. Neural Networks Learn. Syst., 2022)

Dual-Space NeRF: Learning Animatable Avatars and Scene Lighting in Separate Spaces - Yihao Zhi; Shenhan Qian; Xinhao Yan; Shenghua Gao (International Conference on 3D Vision, 3DV 2022, Prague, Czech Republic, September 12-16, 2022, 2022)

HaViT: Hybrid-Attention Based Vision Transformer for Video Classification - Li Li; Liansheng Zhuang; Shenghua Gao; Shafei Wang (Computer Vision - ACCV 2022 - 16th Asian Conference on Computer Vision, Macao, China, December 4-8, 2022, Proceedings, Part IV, 2022)

Cross-domain Trajectory Prediction with CTP-Net - Pingxuan Huang; Zhenhua Cui; Jing Li; Shenghua Gao; Bo Hu; Yanyan Fang (Artificial Intelligence - Second CAAI International Conference, CICAI 2022, Beijing, China, August 27-28, 2022, Revised Selected Papers, Part I, 2022)

DearKD: Data-Efficient Early Knowledge Distillation for Vision Transformers - Xianing Chen; Qiong Cao; Yujie Zhong; Jing Zhang; Shenghua Gao; Dacheng Tao (IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2022, New Orleans, LA, USA, June 18-24, 2022, 2022)

TransRAC: Encoding Multi-scale Temporal Correlation with Transformers for Repetitive Action Counting - Huazhang Hu; Sixun Dong; Yiqun Zhao; Dongze Lian; Zhengxin Li; Shenghua Gao (IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2022, New Orleans, LA, USA, June 18-24, 2022, 2022)

SVIP: Sequence VerIfication for Procedures in Videos - Yicheng Qian; Weixin Luo; Dongze Lian; Xu Tang; Peilin Zhao; Shenghua Gao (IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2022, New Orleans, LA, USA, June 18-24, 2022, 2022)

UNIF: United Neural Implicit Functions for Clothed Human Reconstruction and Animation - Shenhan Qian; Jiale Xu; Ziwei Liu; Liqian Ma; Shenghua Gao (Computer Vision - ECCV 2022 - 17th European Conference, Tel Aviv, Israel, October 23-27, 2022, Proceedings, Part III, 2022)

AS-MLP: An Axial Shifted MLP Architecture for Vision - Dongze Lian; Zehao Yu; Xing Sun; Shenghua Gao (The Tenth International Conference on Learning Representations, ICLR 2022, Virtual Event, April 25-29, 2022, 2022)

TaylorImNet for Fast 3D Shape Reconstruction Based on Implicit Surface Function - Yuting Xiao; Jiale Xu; Shenghua Gao (CoRR, 2022)

TransRAC: Encoding Multi-scale Temporal Correlation with Transformers for Repetitive Action Counting - Huazhang Hu; Sixun Dong; Yiqun Zhao; Dongze Lian; Zhengxin Li; Shenghua Gao (CoRR, 2022)

DearKD: Data-Efficient Early Knowledge Distillation for Vision Transformers - Xianing Chen; Qiong Cao; Yujie Zhong; Jing Zhang; Shenghua Gao; Dacheng Tao (CoRR, 2022)

PREF: Phasorial Embedding Fields for Compact Neural Representations - Binbin Huang; Xinhao Yan; Anpei Chen; Shenghua Gao; Jingyi Yu (CoRR, 2022)

UNIF: United Neural Implicit Functions for Clothed Human Reconstruction and Animation - Shenhan Qian; Jiale Xu; Ziwei Liu; Liqian Ma; Shenghua Gao (CoRR, 2022)

Dual-Space NeRF: Learning Animatable Avatars and Scene Lighting in Separate Spaces - Yihao Zhi; Shenhan Qian; Xinhao Yan; Shenghua Gao (CoRR, 2022)

PlaneDepth: Plane-Based Self-Supervised Monocular Depth Estimation - Ruoyu Wang; Zehao Yu; Shenghua Gao (CoRR, 2022)

Electrical Tunable Spintronic Neuron with Trainable Activation Function - Yue Xin; Kang Zhou; Xuanyao Fong; Yumeng Yang; Shenghua Gao; Zhifeng Zhu (CoRR, 2022)

Lifelong Person Re-Identification via Knowledge Refreshing and Consolidation - Chunlin Yu; Ye Shi; Zimo Liu; Shenghua Gao; Jingya Wang (CoRR, 2022)

Dream3D: Zero-Shot Text-to-3D Synthesis Using 3D Shape Prior and Text-to-Image Diffusion Models - Jiale Xu; Xintao Wang; Weihao Cheng; Yan-Pei Cao; Ying Shan; Xiaohu Qie; Shenghua Gao (CoRR, 2022)

VertMatch: A Semi-supervised Framework for Vertebral Structure Detection in 3D Ultrasound Volume - Hongye Zeng; Kang Zhou; Songhan Ge; Yuchong Gao; Jianhao Zhao; Shenghua Gao; Rui Zheng (CoRR, 2022)

Normal graph: Spatial temporal graph convolutional networks based prediction network for skeleton based video anomaly detection - Weixin Luo; Wen Liu; Shenghua Gao (Neurocomputing, 2021)

SUNNet: A novel framework for simultaneous human parsing and pose estimation - Yanyu Xu; Zhixin Piao; Ziheng Zhang; Wen Liu; Shenghua Gao (Neurocomputing, 2021)

Video Anomaly Detection with Sparse Coding Inspired Deep Neural Networks - Weixin Luo; Wen Liu; Dongze Lian; Jinhui Tang; Lixin Duan; Xi Peng; Shenghua Gao (IEEE Trans. Pattern Anal. Mach. Intell., 2021)

RGB-D-based gaze point estimation via multi-column CNNs and facial landmarks global optimization - Ziheng Zhang; Dongze Lian; Shenghua Gao (Vis. Comput., 2021)

Appearance-Motion Memory Consistency Network for Video Anomaly Detection - Ruichu Cai; Hao Zhang; Wen Liu; Shenghua Gao; Zhifeng Hao (Thirty-Fifth AAAI Conference on Artificial Intelligence, AAAI 2021, Thirty-Third Conference on Innovative Applications of Artificial Intelligence, IAAI 2021, The Eleventh Symposium on Educational Advances in Artificial Intelligence, EAAI 2021, Virtual Event, February 2-9, 2021, 2021)

KGDet: Keypoint-Guided Fashion Detection - Shenhan Qian; Dongze Lian; Binqiang Zhao; Tong Liu; Bohui Zhu; Hai Li; Shenghua Gao (Thirty-Fifth AAAI Conference on Artificial Intelligence, AAAI 2021, Thirty-Third Conference on Innovative Applications of Artificial Intelligence, IAAI 2021, The Eleventh Symposium on Educational Advances in Artificial Intelligence, EAAI 2021, Virtual Event, February 2-9, 2021, 2021)

Amodal Segmentation Based on Visible Region Segmentation and Shape Prior - Yuting Xiao; Yanyu Xu; Ziming Zhong; Weixin Luo; Jiawei Li; Shenghua Gao (Thirty-Fifth AAAI Conference on Artificial Intelligence, AAAI 2021, Thirty-Third Conference on Innovative Applications of Artificial Intelligence, IAAI 2021, The Eleventh Symposium on Educational Advances in Artificial Intelligence, EAAI 2021, Virtual Event, February 2-9, 2021, 2021)

MOS: A Low Latency and Lightweight Framework for Face Detection, Landmark Localization, and Head Pose Estimation - Yepeng Liu; Zaiwang Gu; Shenghua Gao; Dong Wang; Yusheng Zeng; Jun Cheng (32nd British Machine Vision Conference 2021, BMVC 2021, Online, November 22-25, 2021, 2021)

Prior Based Human Completion - Zibo Zhao; Wen Liu; Yanyu Xu; Xianing Chen; Weixin Luo; Lei Jin; Bohui Zhu; Tong Liu; Binqiang Zhao; Shenghua Gao (IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2021, virtual, June 19-25, 2021, 2021)

Learning To Recommend Frame for Interactive Video Object Segmentation in the Wild - Zhaoyuan Yin; Jia Zheng; Weixin Luo; Shenhan Qian; Hanling Zhang; Shenghua Gao (IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2021, virtual, June 19-25, 2021, 2021)

Layout-Guided Novel View Synthesis From a Single Indoor Panorama - Jiale Xu; Jia Zheng; Yanyu Xu; Rui Tang; Shenghua Gao (IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2021, virtual, June 19-25, 2021, 2021)

Look Before You Leap: Learning Landmark Features for One-Stage Visual Grounding - Binbin Huang; Dongze Lian; Weixin Luo; Shenghua Gao (IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2021, virtual, June 19-25, 2021, 2021)

Speech Drives Templates: Co-Speech Gesture Synthesis with Learned Templates - Shenhan Qian; Zhi Tu; Yihao Zhi; Wen Liu; Shenghua Gao (2021 IEEE/CVF International Conference on Computer Vision, ICCV 2021, Montreal, QC, Canada, October 10-17, 2021, 2021)

Crowd Counting With Partial Annotations in an Image - Yanyu Xu; Ziming Zhong; Dongze Lian; Jing Li; Zhengxin Li; Xinxing Xu; Shenghua Gao (2021 IEEE/CVF International Conference on Computer Vision, ICCV 2021, Montreal, QC, Canada, October 10-17, 2021, 2021)

Accurate depth estimation from a hybrid event-RGB stereo setup - Yi-Fan Zuo; Li Cui; Xin Peng; Yanyu Xu; Shenghua Gao; Xia Wang; Laurent Kneip (IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2021, Prague, Czech Republic, September 27 - Oct. 1, 2021, 2021)

Memory-Assisted Dual-End Adaptation Network For Choroid Segmentation In Multi-Domain Optical Coherence Tomography - Zhenjie Chai; Jianlong Yang; Kang Zhou; Zhi Chen; Yitian Zhao; Shenghua Gao; Jiang Liu (18th IEEE International Symposium on Biomedical Imaging, ISBI 2021, Nice, France, April 13-16, 2021, 2021)

Partially-Supervised Learning for Vessel Segmentation in Ocular Images - Yanyu Xu; Xinxing Xu; Lei Jin; Shenghua Gao; Rick Siow Mong Goh; Daniel Shu Wei Ting; Yong Liu (Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27 - October 1, 2021, Proceedings, Part I, 2021)

Graph Convolutional Neural Network for Skeleton-based Video Abnormal Behavior Detection - Weixin Luo; Wen Liu; Shenghua Gao (Generalization with Deep Learning: For Improvement on Sensing Capability, 2021)

Learning to Recommend Frame for Interactive Video Object Segmentation in the Wild - Zhaoyuan Yin; Jia Zheng; Weixin Luo; Shenhan Qian; Hanling Zhang; Shenghua Gao (CoRR, 2021)

Layout-Guided Novel View Synthesis from a Single Indoor Panorama - Jiale Xu; Jia Zheng; Yanyu Xu; Rui Tang; Shenghua Gao (CoRR, 2021)

Look Before You Leap: Learning Landmark Features for One-Stage Visual Grounding - Binbin Huang; Dongze Lian; Weixin Luo; Shenghua Gao (CoRR, 2021)

AS-MLP: An Axial Shifted MLP Architecture for Vision - Dongze Lian; Zehao Yu; Xing Sun; Shenghua Gao (CoRR, 2021)

Speech Drives Templates: Co-Speech Gesture Synthesis with Learned Templates - Shenhan Qian; Zhi Tu; Yihao Zhi; Wen Liu; Shenghua Gao (CoRR, 2021)

OH-Former: Omni-Relational High-Order Transformer for Person Re-Identification - Xianing Chen; Jialang Xu; Jiale Xu; Shenghua Gao (CoRR, 2021)

Proxy-bridged Image Reconstruction Network for Anomaly Detection in Medical Images - Kang Zhou; Jing Li; Weixin Luo; Zhengxin Li; Jianlong Yang; Huazhu Fu; Jun Cheng; Jiang Liu; Shenghua Gao (CoRR, 2021)

MOS: A Low Latency and Lightweight Framework for Face Detection, Landmark Localization, and Head Pose Estimation - Yepeng Liu; Zaiwang Gu; Shenghua Gao; Dong Wang; Yusheng Zeng; Jun Cheng (CoRR, 2021)

CTP-Net For Cross-Domain Trajectory Prediction - Pingxuan Huang; Yanyan Fang; Bo Hu; Shenghua Gao; Jing Li (CoRR, 2021)

SVIP: Sequence VerIfication for Procedures in Videos - Yicheng Qian; Weixin Luo; Dongze Lian; Xu Tang; Peilin Zhao; Shenghua Gao (CoRR, 2021)

Multi-level feature fusion based Locality-Constrained Spatial Transformer network for video crowd counting - Yanyan Fang; Shenghua Gao; Jing Li; Weixin Luo; Linfang He; Bo Hu (Neurocomputing, 2020)

Visual Tracking With Multiview Trajectory Prediction - Minye Wu; Haibin Ling; Ning Bi; Shenghua Gao; Qiang Hu; Hao Sheng; Jingyi Yu (IEEE Trans. Image Process., 2020)

Noise Adaptation Generative Adversarial Network for Medical Image Analysis - Tianyang Zhang; Jun Cheng; Huazhu Fu; Zaiwang Gu; Yuting Xiao; Kang Zhou; Shenghua Gao; Rui Zheng; Jiang Liu (IEEE Trans. Medical Imaging, 2020)

Correction to "Noise Adaptation Generative Adversarial Network for Medical Image Analysis" - Tianyang Miller; Jun Cheng; Huazhu Fu; Zaiwang Gu; Yuting Xiao; Kang Zhou; Shenghua Gao; Ru Zheng; Jiang Liu (IEEE Trans. Medical Imaging, 2020)

Image saliency detection via multi-scale iterative CNN - Kun Huang; Shenghua Gao (Vis. Comput., 2020)

Geometric Structure Based and Regularized Depth Estimation From 360 Indoor Imagery - Lei Jin; Yanyu Xu; Jia Zheng; Junfei Zhang; Rui Tang; Shugong Xu; Jingyi Yu; Shenghua Gao (2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2020, Seattle, WA, USA, June 13-19, 2020, 2020)

Fast-MVSNet: Sparse-to-Dense Multi-View Stereo With Learned Propagation and Gauss-Newton Refinement - Zehao Yu; Shenghua Gao (2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2020, Seattle, WA, USA, June 13-19, 2020, 2020)

P\(^2\)Net: Patch-Match and Plane-Regularization for Unsupervised Indoor Depth Estimation - Zehao Yu; Lei Jin; Shenghua Gao (Computer Vision - ECCV 2020 - 16th European Conference, Glasgow, UK, August 23-28, 2020, Proceedings, Part XXIV, 2020)

Encoding Structure-Texture Relation with P-Net for Anomaly Detection in Retinal Images - Kang Zhou; Yuting Xiao; Jianlong Yang; Jun Cheng; Wen Liu; Weixin Luo; Zaiwang Gu; Jiang Liu; Shenghua Gao (Computer Vision - ECCV 2020 - 16th European Conference, Glasgow, UK, August 23-28, 2020, Proceedings, Part XX, 2020)

Structured3D: A Large Photo-Realistic Dataset for Structured 3D Modeling - Jia Zheng; Junfei Zhang; Jing Li; Rui Tang; Shenghua Gao; Zihan Zhou (Computer Vision - ECCV 2020 - 16th European Conference, Glasgow, UK, August 23-28, 2020, Proceedings, Part IX, 2020)

Towards Fast Adaptation of Neural Architectures with Meta Learning - Dongze Lian; Yin Zheng; Yintao Xu; Yanxiong Lu; Leyu Lin; Peilin Zhao; Junzhou Huang; Shenghua Gao (8th International Conference on Learning Representations, ICLR 2020, Addis Ababa, Ethiopia, April 26-30, 2020, 2020)

Sparse-Gan: Sparsity-Constrained Generative Adversarial Network for Anomaly Detection in Retinal OCT Image - Kang Zhou; Shenghua Gao; Jun Cheng; Zaiwang Gu; Huazhu Fu; Zhi Tu; Jianlong Yang; Yitian Zhao; Jiang Liu (17th IEEE International Symposium on Biomedical Imaging, ISBI 2020, Iowa City, IA, USA, April 3-7, 2020, 2020)

SUNet: A Lesion Regularized Model for Simultaneous Diabetic Retinopathy and Diabetic Macular Edema Grading - Zhi Tu; Shenghua Gao; Kang Zhou; Xianing Chen; Huazhu Fu; Zaiwang Gu; Jun Cheng; Zehao Yu; Jiang Liu (17th IEEE International Symposium on Biomedical Imaging, ISBI 2020, Iowa City, IA, USA, April 3-7, 2020, 2020)

Open-Set OCT Image Recognition with Synthetic Learning - Yuting Xiao; Shenghua Gao; Zhenjie Chai; Kang Zhou; Tianyang Zhang; Yitian Zhao; Jun Cheng; Jiang Liu (17th IEEE International Symposium on Biomedical Imaging, ISBI 2020, Iowa City, IA, USA, April 3-7, 2020, 2020)

Perceptual-Assisted Adversarial Adaptation for Choroid Segmentation in Optical Coherence Tomography - Zhenjie Chai; Kang Zhou; Jianlong Yang; Yuhui Ma; Zhi Chen; Shenghua Gao; Jiang Liu (17th IEEE International Symposium on Biomedical Imaging, ISBI 2020, Iowa City, IA, USA, April 3-7, 2020, 2020)

SIRI: Spatial Relation Induced Network For Spatial Description Resolution - Peiyao Wang; Weixin Luo; Yanyu Xu; Haojie Li; Shugong Xu; Jianyu Yang; Shenghua Gao (Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, NeurIPS 2020, December 6-12, 2020, virtual, 2020)

Fast-MVSNet: Sparse-to-Dense Multi-View Stereo With Learned Propagation and Gauss-Newton Refinement - Zehao Yu; Shenghua Gao (CoRR, 2020)

Learning to Parse Wireframes in Images of Man-Made Environments - Kun Huang; Yifan Wang; Zihan Zhou; Tianjiao Ding; Shenghua Gao; Yi Ma (CoRR, 2020)

P\(^2\)Net: Patch-match and Plane-regularization for Unsupervised Indoor Depth Estimation - Zehao Yu; Lei Jin; Shenghua Gao (CoRR, 2020)

Encoding Structure-Texture Relation with P-Net for Anomaly Detection in Retinal Images - Kang Zhou; Yuting Xiao; Jianlong Yang; Jun Cheng; Wen Liu; Weixin Luo; Zaiwang Gu; Jiang Liu; Shenghua Gao (CoRR, 2020)

SIRI: Spatial Relation Induced Network For Spatial Description Resolution - Peiyao Wang; Weixin Luo; Yanyu Xu; Haojie Li; Shugong Xu; Jianyu Yang; Shenghua Gao (CoRR, 2020)

Liquid Warping GAN with Attention: A Unified Framework for Human Image Synthesis - Wen Liu; Zhixin Piao; Zhi Tu; Wenhan Luo; Lin Ma; Shenghua Gao (CoRR, 2020)

Amodal Segmentation Based on Visible Region Segmentation and Shape Prior - Yuting Xiao; Yanyu Xu; Ziming Zhong; Weixin Luo; Jiawei Li; Shenghua Gao (CoRR, 2020)

Wireframe Parsing With Guidance of Distance Map - Kun Huang; Shenghua Gao (IEEE Access, 2019)

Utilizing Information Bottleneck to Evaluate the Capability of Deep Neural Networks for Image Classification - Hao Cheng; Dongze Lian; Shenghua Gao; Yanlin Geng (Entropy, 2019)

Personalized Saliency and Its Prediction - Yanyu Xu; Shenghua Gao; Junru Wu; Nianyi Li; Jingyi Yu (IEEE Trans. Pattern Anal. Mach. Intell., 2019)

CE-Net: Context Encoder Network for 2D Medical Image Segmentation - Zaiwang Gu; Jun Cheng; Huazhu Fu; Kang Zhou; Huaying Hao; Yitian Zhao; Tianyang Zhang; Shenghua Gao; Jiang Liu (IEEE Trans. Medical Imaging, 2019)

Multiview Multitask Gaze Estimation With Deep Convolutional Neural Networks - Dongze Lian; Lina Hu; Weixin Luo; Yanyu Xu; Lixin Duan; Jingyi Yu; Shenghua Gao (IEEE Trans. Neural Networks Learn. Syst., 2019)

RGBD Based Gaze Estimation via Multi-Task CNN - Dongze Lian; Ziheng Zhang; Weixin Luo; Lina Hu; Minye Wu; Zechao Li; Jingyi Yu; Shenghua Gao (The Thirty-Third AAAI Conference on Artificial Intelligence, AAAI 2019, The Thirty-First Innovative Applications of Artificial Intelligence Conference, IAAI 2019, The Ninth AAAI Symposium on Educational Advances in Artificial Intelligence, EAAI 2019, Honolulu, Hawaii, USA, January 27 - February 1, 2019, 2019)

Single-Image Piece-Wise Planar 3D Reconstruction via Associative Embedding - Zehao Yu; Jia Zheng; Dongze Lian; Zihan Zhou; Shenghua Gao (IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2019, Long Beach, CA, USA, June 16-20, 2019, 2019)

Density Map Regression Guided Detection Network for RGB-D Crowd Counting and Localization - Dongze Lian; Jing Li; Jia Zheng; Weixin Luo; Shenghua Gao (IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2019, Long Beach, CA, USA, June 16-20, 2019, 2019)

Local to Global Learning: Gradually Adding Classes for Training Deep Neural Networks - Hao Cheng; Dongze Lian; Bowen Deng; Shenghua Gao; Tao Tan; Yanlin Geng (IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2019, Long Beach, CA, USA, June 16-20, 2019, 2019)

PPGNet: Learning Point-Pair Graph for Line Segment Detection - Ziheng Zhang; Zhengxin Li; Ning Bi; Jia Zheng; Jinlei Wang; Kun Huang; Weixin Luo; Yanyu Xu; Shenghua Gao (IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2019, Long Beach, CA, USA, June 16-20, 2019, 2019)

Hybrid Neural Network for Photoacoustic Imaging Reconstruction - Hengrong Lan; Kang Zhou; Changchun Yang; Jiang Liu; Shenghua Gao; Fei Gao (41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2019, Berlin, Germany, July 23-27, 2019, 2019)

Liquid Warping GAN: A Unified Framework for Human Motion Imitation, Appearance Transfer and Novel View Synthesis - Wen Liu; Zhixin Piao; Jie Min; Wenhan Luo; Lin Ma; Shenghua Gao (2019 IEEE/CVF International Conference on Computer Vision, ICCV 2019, Seoul, Korea (South), October 27 - November 2, 2019, 2019)

Locality-Constrained Spatial Transformer Network for Video Crowd Counting - Yanyan Fang; Biyun Zhan; Wandi Cai; Shenghua Gao; Bo Hu (IEEE International Conference on Multimedia and Expo, ICME 2019, Shanghai, China, July 8-12, 2019, 2019)

Margin Learning Embedded Prediction for Video Anomaly Detection with A Few Anomalies - Wen Liu; Weixin Luo; Zhengxin Li; Peilin Zhao; Shenghua Gao (Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, IJCAI 2019, Macao, China, August 10-16, 2019, 2019)

Ki-GAN: Knowledge Infusion Generative Adversarial Network for Photoacoustic Image Reconstruction In Vivo - Hengrong Lan; Kang Zhou; Changchun Yang; Jun Cheng; Jiang Liu; Shenghua Gao; Fei Gao (Medical Image Computing and Computer Assisted Intervention - MICCAI 2019 - 22nd International Conference, Shenzhen, China, October 13-17, 2019, Proceedings, Part I, 2019)

SkrGAN: Sketching-Rendering Unconditional Generative Adversarial Networks for Medical Image Synthesis - Tianyang Zhang; Huazhu Fu; Yitian Zhao; Jun Cheng; Mengjie Guo; Zaiwang Gu; Bing Yang; Yuting Xiao; Shenghua Gao; Jiang Liu (Medical Image Computing and Computer Assisted Intervention - MICCAI 2019 - 22nd International Conference, Shenzhen, China, October 13-17, 2019, Proceedings, Part IV, 2019)

Learning Semantics-aware Distance Map with Semantics Layering Network for Amodal Instance Segmentation - Ziheng Zhang; Anpei Chen; Ling Xie; Jingyi Yu; Shenghua Gao (Proceedings of the 27th ACM International Conference on Multimedia, MM 2019, Nice, France, October 21-25, 2019, 2019)

Single-Image Piece-wise Planar 3D Reconstruction via Associative Embedding - Zehao Yu; Jia Zheng; Dongze Lian; Zihan Zhou; Shenghua Gao (CoRR, 2019)

CE-Net: Context Encoder Network for 2D Medical Image Segmentation - Zaiwang Gu; Jun Cheng; Huazhu Fu; Kang Zhou; Huaying Hao; Yitian Zhao; Tianyang Zhang; Shenghua Gao; Jiang Liu (CoRR, 2019)

Generic Multiview Visual Tracking - Minye Wu; Haibin Ling; Ning Bi; Shenghua Gao; Hao Sheng; Jingyi Yu (CoRR, 2019)

PPGNet: Learning Point-Pair Graph for Line Segment Detection - Ziheng Zhang; Zhengxin Li; Ning Bi; Jia Zheng; Jinlei Wang; Kun Huang; Weixin Luo; Yanyu Xu; Shenghua Gao (CoRR, 2019)

Domain Adversarial Reinforcement Learning for Partial Domain Adaptation - Jin Chen; Xinxiao Wu; Lixin Duan; Shenghua Gao (CoRR, 2019)

Learning Semantics-aware Distance Map with Semantics Layering Network for Amodal Instance Segmentation - Ziheng Zhang; Anpei Chen; Ling Xie; Jingyi Yu; Shenghua Gao (CoRR, 2019)

Believe It or Not, We Know What You Are Looking at! - Dongze Lian; Zehao Yu; Shenghua Gao (CoRR, 2019)

Locality-constrained Spatial Transformer Network for Video Crowd Counting - Yanyan Fang; Biyun Zhan; Wandi Cai; Shenghua Gao; Bo Hu (CoRR, 2019)

Structured3D: A Large Photo-realistic Dataset for Structured 3D Modeling - Jia Zheng; Junfei Zhang; Jing Li; Rui Tang; Shenghua Gao; Zihan Zhou (CoRR, 2019)

SkrGAN: Sketching-rendering Unconditional Generative Adversarial Networks for Medical Image Synthesis - Tianyang Zhang; Huazhu Fu; Yitian Zhao; Jun Cheng; Mengjie Guo; Zaiwang Gu; Bing Yang; Yuting Xiao; Shenghua Gao; Jiang Liu (CoRR, 2019)

Liquid Warping GAN: A Unified Framework for Human Motion Imitation, Appearance Transfer and Novel View Synthesis - Wen Liu; Zhixin Piao; Jie Min; Wenhan Luo; Lin Ma; Shenghua Gao (CoRR, 2019)

Sparse-GAN: Sparsity-constrained Generative Adversarial Network for Anomaly Detection in Retinal OCT Image - Kang Zhou; Shenghua Gao; Jun Cheng; Zaiwang Gu; Huazhu Fu; Zhi Tu; Jianlong Yang; Yitian Zhao; Jiang Liu (CoRR, 2019)

BioNet: Infusing Biomarker Prior into Global-to-Local Network for Choroid Segmentation in Optical Coherence Tomography Images - Huihong Zhang; Jianlong Yang; Kang Zhou; Zhenjie Chai; Jun Cheng; Shenghua Gao; Jiang Liu (CoRR, 2019)

Deep Surface Light Fields - Anpei Chen; Minye Wu; Yingliang Zhang; Nianyi Li; Jie Lu; Shenghua Gao; Jingyi Yu (Proc. ACM Comput. Graph. Interact. Tech., 2018)

Body Structure Aware Deep Crowd Counting - Siyu Huang; Xi Li; Zhongfei Zhang; Fei Wu; Shenghua Gao; Rongrong Ji; Junwei Han (IEEE Trans. Image Process., 2018)

Believe It or Not, We Know What You Are Looking At! - Dongze Lian; Zehao Yu; Shenghua Gao (Computer Vision - ACCV 2018 - 14th Asian Conference on Computer Vision, Perth, Australia, December 2-6, 2018, Revised Selected Papers, Part III, 2018)

Learning to Parse Wireframes in Images of Man-Made Environments - Kun Huang; Yifan Wang; Zihan Zhou; Tianjiao Ding; Shenghua Gao; Yi Ma (2018 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2018, Salt Lake City, UT, USA, June 18-22, 2018, 2018)

Encoding Crowd Interaction With Deep Neural Network for Pedestrian Trajectory Prediction - Yanyu Xu; Zhixin Piao; Shenghua Gao (2018 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2018, Salt Lake City, UT, USA, June 18-22, 2018, 2018)

Gaze Prediction in Dynamic 360° Immersive Videos - Yanyu Xu; Yanbing Dong; Junru Wu; Zhengzhong Sun; Zhiru Shi; Jingyi Yu; Shenghua Gao (2018 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2018, Salt Lake City, UT, USA, June 18-22, 2018, 2018)

Future Frame Prediction for Anomaly Detection - A New Baseline - Wen Liu; Weixin Luo; Dongze Lian; Shenghua Gao (2018 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2018, Salt Lake City, UT, USA, June 18-22, 2018, 2018)

Face Aging With Identity-Preserved Conditional Generative Adversarial Networks - Zongwei Wang; Xu Tang; Weixin Luo; Shenghua Gao (2018 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2018, Salt Lake City, UT, USA, June 18-22, 2018, 2018)

Evaluating Capability of Deep Neural Networks for Image Classification via Information Plane - Hao Cheng; Dongze Lian; Shenghua Gao; Yanlin Geng (Computer Vision - ECCV 2018 - 15th European Conference, Munich, Germany, September 8-14, 2018, Proceedings, Part XI, 2018)

Saliency Detection in 360 ^\circ \(°\) Videos - Ziheng Zhang; Yanyu Xu; Jingyi Yu; Shenghua Gao (Computer Vision - ECCV 2018 - 15th European Conference, Munich, Germany, September 8-14, 2018, Proceedings, Part VII, 2018)

Multi-Cell Multi-Task Convolutional Neural Networks for Diabetic Retinopathy Grading - Kang Zhou; Zaiwang Gu; Wen Liu; Weixin Luo; Jun Cheng; Shenghua Gao; Jiang Liu (40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2018, Honolulu, HI, USA, July 18-21, 2018, 2018)

Fundus Image Quality-Guided Diabetic Retinopathy Grading - Kang Zhou; Zaiwang Gu; Annan Li; Jun Cheng; Shenghua Gao; Jiang Liu (Computational Pathology and Ophthalmic Medical Image Analysis - First International Workshop, COMPAY 2018, and 5th International Workshop, OMIA 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16-20, 2018, Proceedings, 2018)

Multi-Cell Multi-Task Convolutional Neural Networks for Diabetic Retinopathy Grading Kang - Kang Zhou; Zaiwang Gu; Wen Liu; Weixin Luo; Jun Cheng; Shenghua Gao; Jiang Liu (CoRR, 2018)

Deep Surface Light Fields - Anpei Chen; Minye Wu; Yingliang Zhang; Nianyi Li; Jie Lu; Shenghua Gao; Jingyi Yu (CoRR, 2018)

Label Information Guided Graph Construction for Semi-Supervised Learning - Liansheng Zhuang; Zihan Zhou; Shenghua Gao; Jingwen Yin; Zhouchen Lin; Yi Ma (IEEE Trans. Image Process., 2017)

Improving Training of Deep Neural Networks via Singular Value Bounding - Kui Jia; Dacheng Tao; Shenghua Gao; Xiangmin Xu (2017 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2017, Honolulu, HI, USA, July 21-26, 2017, 2017)

A Revisit of Sparse Coding Based Anomaly Detection in Stacked RNN Framework - Weixin Luo; Wen Liu; Shenghua Gao (IEEE International Conference on Computer Vision, ICCV 2017, Venice, Italy, October 22-29, 2017, 2017)

Remembering history with convolutional LSTM for anomaly detection - Weixin Luo; Wen Liu; Shenghua Gao (2017 IEEE International Conference on Multimedia and Expo, ICME 2017, Hong Kong, China, July 10-14, 2017, 2017)

Locality Constrained Deep Supervised Hashing for Image Retrieval - Hao Zhu; Shenghua Gao (Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, IJCAI 2017, Melbourne, Australia, August 19-25, 2017, 2017)

Beyond Universal Saliency: Personalized Saliency Prediction with Multi-task CNN - Yanyu Xu; Nianyi Li; Junru Wu; Jingyi Yu; Shenghua Gao (Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, IJCAI 2017, Melbourne, Australia, August 19-25, 2017, 2017)

Personalized Saliency and its Prediction - Yanyu Xu; Junru Wu; Nianyi Li; Shenghua Gao; Jingyi Yu (CoRR, 2017)

Future Frame Prediction for Anomaly Detection - A New Baseline - Wen Liu; Weixin Luo; Dongze Lian; Shenghua Gao (CoRR, 2017)

ROML: A Robust Feature Correspondence Approach for Matching Objects in A Set of Images - Kui Jia; Tsung-Han Chan; Zinan Zeng; Shenghua Gao; Gang Wang; Tianzhu Zhang; Yi Ma (Int. J. Comput. Vis., 2016)

DEFEATnet - A Deep Conventional Image Representation for Image Classification - Shenghua Gao; Lixin Duan; Ivor W. Tsang (IEEE Trans. Circuits Syst. Video Technol., 2016)

Patch-Set-Based Representation for Alignment-Free Image Set Classification - Shenghua Gao; Zinan Zeng; Kui Jia; Tsung-Han Chan; Jinhui Tang (IEEE Trans. Circuits Syst. Video Technol., 2016)

Cold-Start Heterogeneous-Device Wireless Localization - Vincent W. Zheng; Hong Cao; Shenghua Gao; Aditi Adhikari; Miao Lin; Kevin Chen-Chuan Chang (Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, February 12-17, 2016, Phoenix, Arizona, USA, 2016)

Single-Image Crowd Counting via Multi-Column Convolutional Neural Network - Yingying Zhang; Desen Zhou; Siqin Chen; Shenghua Gao; Yi Ma (2016 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2016, Las Vegas, NV, USA, June 27-30, 2016, 2016)

Progressively Parsing Interactional Objects for Fine Grained Action Detection - Bingbing Ni; Xiaokang Yang; Shenghua Gao (2016 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2016, Las Vegas, NV, USA, June 27-30, 2016, 2016)

Bi-Level Multi-column Convolutional Neural Networks for Facial Landmark Point Detection - Yanyu Xu; Shenghua Gao (Computer Vision - ECCV 2016 Workshops - Amsterdam, The Netherlands, October 8-10 and 15-16, 2016, Proceedings, Part II, 2016)

Image compression via multiple learned geometric dictionaries - Danlan Huang; Xiaoming Tao; Mai Xu; Shenghua Gao; Jianhua Lu (2016 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2016, Washington, DC, USA, December 7-9, 2016, 2016)

Neither Global Nor Local: Regularized Patch-Based Representation for Single Sample Per Person Face Recognition - Shenghua Gao; Kui Jia; Liansheng Zhuang; Yi Ma (Int. J. Comput. Vis., 2015)

Laplacian Auto-Encoders: An explicit learning of nonlinear data manifold - Kui Jia; Lin Sun; Shenghua Gao; Zhan Song; Bertram E. Shi (Neurocomputing, 2015)

Single Sample Face Recognition via Learning Deep Supervised Autoencoders - Shenghua Gao; Yuting Zhang; Kui Jia; Jiwen Lu; Yingying Zhang (IEEE Trans. Inf. Forensics Secur., 2015)

Constructing a Nonnegative Low-Rank and Sparse Graph With Data-Adaptive Features - Liansheng Zhuang; Shenghua Gao; Jinhui Tang; Jingjing Wang; Zhouchen Lin; Yi Ma; Nenghai Yu (IEEE Trans. Image Process., 2015)

PCANet: A Simple Deep Learning Baseline for Image Classification? - Tsung-Han Chan; Kui Jia; Shenghua Gao; Jiwen Lu; Zinan Zeng; Yi Ma (IEEE Trans. Image Process., 2015)

RGB-D Object Recognition via Incorporating Latent Data Structure and Prior Knowledge - Jinhui Tang; Lu Jin; Zechao Li; Shenghua Gao (IEEE Trans. Multim., 2015)

Generalized Multiple Kernel Learning With Data-Dependent Priors - Qi Mao; Ivor W. Tsang; Shenghua Gao; Li Wang (IEEE Trans. Neural Networks Learn. Syst., 2015)

Partially Common-Semantic Pursuit for RGB-D Object Recognition - Lu Jin; Zechao Li; Xiangbo Shu; Shenghua Gao; Jinhui Tang (Proceedings of the 23rd Annual ACM Conference on Multimedia Conference, MM '15, Brisbane, Australia, October 26 - 30, 2015, 2015)

Design of global emergency communication system based on geosynchronous TDRSS - Dandan Fan; Benjin Li; Li Gang Fei; Shenghua Gao; Xiaohan Jin (International Conference on Wireless Communications & Signal Processing, WCSP 2015, Nanjing, China, October 15-17, 2015, 2015)

Discovering joint audio-visual codewords for video event detection - I-Hong Jhuo; Guangnan Ye; Shenghua Gao; Dong Liu; Yu-Gang Jiang; D. T. Lee; Shih-Fu Chang (Mach. Vis. Appl., 2014)

Region-Based Saliency Detection and Its Application in Object Recognition - Zhixiang Ren; Shenghua Gao; Liang-Tien Chia; Ivor Wai-Hung Tsang (IEEE Trans. Circuits Syst. Video Technol., 2014)

Learning Category-Specific Dictionary and Shared Dictionary for Fine-Grained Image Categorization - Shenghua Gao; Ivor Wai-Hung Tsang; Yi Ma (IEEE Trans. Image Process., 2014)

Concurrent Single-Label Image Classification and Annotation via Efficient Multi-Layer Group Sparse Coding - Shenghua Gao; Liang-Tien Chia; Ivor Wai-Hung Tsang; Zhixiang Ren (IEEE Trans. Multim., 2014)

Unsupervised Feature Learning for RGB-D Image Classification - I-Hong Jhuo; Shenghua Gao; Liansheng Zhuang; D. T. Lee; Yi Ma (Computer Vision - ACCV 2014 - 12th Asian Conference on Computer Vision, Singapore, Singapore, November 1-5, 2014, Revised Selected Papers, Part I, 2014)

Efficient Sparsity Estimation via Marginal-Lasso Coding - Tzu-Yi Hung; Jiwen Lu; Yap-Peng Tan; Shenghua Gao (Computer Vision - ECCV 2014 - 13th European Conference, Zurich, Switzerland, September 6-12, 2014, Proceedings, Part IV, 2014)

Hand-Crafted Features or Machine Learnt Features? Together They Improve RGB-D Object Recognition - Lu Jin; Shenghua Gao; Zechao Li; Jinhui Tang (2014 IEEE International Symposium on Multimedia, ISM 2014, Taichung, Taiwan, December 10-12, 2014, 2014)

PCANet: A Simple Deep Learning Baseline for Image Classification? - Tsung-Han Chan; Kui Jia; Shenghua Gao; Jiwen Lu; Zinan Zeng; Yi Ma (CoRR, 2014)

Constructing a Non-Negative Low Rank and Sparse Graph with Data-Adaptive Features - Liansheng Zhuang; Shenghua Gao; Jinhui Tang; Jingjing Wang; Zhouchen Lin; Yi Ma (CoRR, 2014)

Laplacian Sparse Coding, Hypergraph Laplacian Sparse Coding, and Applications - Shenghua Gao; Ivor Wai-Hung Tsang; Liang-Tien Chia (IEEE Trans. Pattern Anal. Mach. Intell., 2013)

Sparse Representation With Kernels - Shenghua Gao; Ivor Wai-Hung Tsang; Liang-Tien Chia (IEEE Trans. Image Process., 2013)

Objective-Guided Image Annotation - Qi Mao; Ivor Wai-Hung Tsang; Shenghua Gao (IEEE Trans. Image Process., 2013)

Regularized Feature Reconstruction for Spatio-Temporal Saliency Detection - Zhixiang Ren; Shenghua Gao; Liang-Tien Chia; Deepu Rajan (IEEE Trans. Image Process., 2013)

Learning by Associating Ambiguously Labeled Images - Zinan Zeng; Shijie Xiao; Kui Jia; Tsung-Han Chan; Shenghua Gao; Dong Xu; Yi Ma (2013 IEEE Conference on Computer Vision and Pattern Recognition, Portland, OR, USA, June 23-28, 2013, 2013)

Background subtraction via coherent trajectory decomposition - Zhixiang Ren; Liang-Tien Chia; Deepu Rajan; Shenghua Gao (ACM Multimedia Conference, MM '13, Barcelona, Spain, October 21-25, 2013, 2013)

Improving sparse coding with graph, kernel, and structure - Shenghua Gao (Nanyang Technological University, Singapore, 2012)

Learning Class-to-Image Distance via Large Margin and L1-Norm Regularization - Zhengxiang Wang; Shenghua Gao; Liang-Tien Chia (Computer Vision - ECCV 2012 - 12th European Conference on Computer Vision, Florence, Italy, October 7-13, 2012, Proceedings, Part II, 2012)

Spatiotemporal Saliency Detection via Sparse Representation - Zhixiang Ren; Shenghua Gao; Deepu Rajan; Liang-Tien Chia; Yun Huang (Proceedings of the 2012 IEEE International Conference on Multimedia and Expo, ICME 2012, Melbourne, Australia, July 9-13, 2012, 2012)

Multi-layer group sparse coding - For concurrent image classification and annotation - Shenghua Gao; Liang-Tien Chia; Ivor Wai-Hung Tsang (The 24th IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2011, Colorado Springs, CO, USA, 20-25 June 2011, 2011)

Web image concept annotation with better understanding of tags and visual features - Shenghua Gao; Liang-Tien Chia; Xiangang Cheng (J. Vis. Commun. Image Represent., 2010)

Local features are not lonely - Laplacian sparse coding for image classification - Shenghua Gao; Ivor Wai-Hung Tsang; Liang-Tien Chia; Peilin Zhao (The Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2010, San Francisco, CA, USA, 13-18 June 2010, 2010)

Kernel Sparse Representation for Image Classification and Face Recognition - Shenghua Gao; Ivor Wai-Hung Tsang; Liang-Tien Chia (Computer Vision - ECCV 2010, 11th European Conference on Computer Vision, Heraklion, Crete, Greece, September 5-11, 2010, Proceedings, Part IV, 2010)

Wikipedia-assisted concept thesaurus for better web media understanding - Huan Wang; Liang-Tien Chia; Shenghua Gao (Proceedings of the 11th ACM SIGMM International Conference on Multimedia Information Retrieval, MIR 2010, Philadelphia, Pennsylvania, USA, March 29-31, 2010, 2010)

Automatic image tagging via category label and web data - Shenghua Gao; Zhengxiang Wang; Liang-Tien Chia; Ivor Wai-Hung Tsang (Proceedings of the 18th International Conference on Multimedia 2010, Firenze, Italy, October 25-29, 2010, 2010)

Discovering Class-Specific Informative Patches and Its Application in Landmark Charaterization - Shenghua Gao; Xiangang Cheng; Liang-Tien Chia (Advances in Multimedia Modeling, 16th International Multimedia Modeling Conference, MMM 2010, Chongqing, China, January 6-8, 2010. Proceedings, 2010)

Concept model-based unsupervised web image re-ranking - Shenghua Gao; Xiangang Cheng; Huan Wang; Liang-Tien Chia (Proceedings of the International Conference on Image Processing, ICIP 2009, 7-10 November 2009, Cairo, Egypt, 2009)