| 2026 | AAAI | LongSplat: Online Generalizable 3D Gaussian Splatting from Long Sequence Images. | Guichen Huang, Ruoyu Wang, Xiangjun Gao, Che Sun, Yuwei Wu, Shenghua Gao, Yunde Jia |
| 2026 | AAAI | Seeing from Another Perspective: Evaluating Multi-View Understanding in MLLMs. | Chun-Hsiao Yeh, Chenyu Wang, Shengbang Tong, Ta Ying Cheng, Ruoyu Wang, Tianzhe Chu, Yuexiang Zhai, Yubei Chen, Shenghua Gao, Yi Ma |
| 2025 | CVPR | HERA: Hybrid Explicit Representation for Ultra-Realistic Head Avatars. | Hongrui Cai, Yuting Xiao, Xuan Wang, Jiafei Li, Yudong Guo, Yanbo Fan, Shenghua Gao, Juyong Zhang |
| 2025 | CVPR | 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 |
| 2025 | CVPR | 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, C. L. Philip Chen |
| 2025 | ICCV | FreeSplatter: Pose-free Gaussian Splatting for Sparse-view 3D Reconstruction. | Jiale Xu, Shenghua Gao, Ying Shan |
| 2025 | ICLR | 3D StreetUnveiler with Semantic-aware 2DGS - a simple baseline. | Jingwei Xu, Yikai Wang, Yiqun Zhao, Yanwei Fu, Shenghua Gao |
| 2025 | MICCAI | Intra- and Cross-View Enhancement for OCTA Imaging. | Jingbo Zeng, Bingyao Tan, Zaiwang Gu, Shenghua Gao, Leopold Schmetterer, Jun Cheng |
| 2025 | WACV | MLLM-Tool: A Multimodal Large Language Model for Tool Agent Learning. | Chenyu Wang, Weixin Luo, Sixun Dong, Xiaohua Xuan, Zhengxin Li, Lin Ma, Shenghua Gao |
| 2024 | CVPR | 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 |
| 2024 | ECCV | MeshSegmenter: Zero-Shot Mesh Semantic Segmentation via Texture Synthesis. | Ziming Zhong, Yanyu Xu, Jing Li, Jiale Xu, Zhengxin Li, Chaohui Yu, Shenghua Gao |
| 2024 | SIGGRAPH | 2D Gaussian Splatting for Geometrically Accurate Radiance Fields. | Binbin Huang, Zehao Yu, Anpei Chen, Andreas Geiger, Shenghua Gao |
| 2024 | WACV | 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 |
| 2023 | AAAI | Lifelong Person Re-identification via Knowledge Refreshing and Consolidation. | Chunlin Yu, Ye Shi, Zimo Liu, Shenghua Gao, Jingya Wang |
| 2023 | CVPR | PlaneDepth: Self-Supervised Depth Estimation via Orthogonal Planes. | Ruoyu Wang, Zehao Yu, Shenghua Gao |
| 2023 | CVPR | Weakly Supervised Video Representation Learning with Unaligned Text for Sequential Videos. | Sixun Dong, Huazhang Hu, Dongze Lian, Weixin Luo, Yicheng Qian, Shenghua Gao |
| 2023 | CVPR | 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 |
| 2023 | ICCV | LivelySpeaker: Towards Semantic-Aware Co-Speech Gesture Generation. | Yihao Zhi, Xiaodong Cun, Xuelin Chen, Xi Shen, Wen Guo, Shaoli Huang, Shenghua Gao |
| 2023 | IROS | 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 |
| 2022 | ACCV | HaViT: Hybrid-Attention Based Vision Transformer for Video Classification. | Li Li, Liansheng Zhuang, Shenghua Gao, Shafei Wang |
| 2022 | CVPR | DearKD: Data-Efficient Early Knowledge Distillation for Vision Transformers. | Xianing Chen, Qiong Cao, Yujie Zhong, Jing Zhang, Shenghua Gao, Dacheng Tao |
| 2022 | CVPR | TransRAC: Encoding Multi-scale Temporal Correlation with Transformers for Repetitive Action Counting. | Huazhang Hu, Sixun Dong, Yiqun Zhao, Dongze Lian, Zhengxin Li, Shenghua Gao |
| 2022 | CVPR | SVIP: Sequence VerIfication for Procedures in Videos. | Yicheng Qian, Weixin Luo, Dongze Lian, Xu Tang, Peilin Zhao, Shenghua Gao |
| 2022 | ECCV | UNIF: United Neural Implicit Functions for Clothed Human Reconstruction and Animation. | Shenhan Qian, Jiale Xu, Ziwei Liu, Liqian Ma, Shenghua Gao |
| 2022 | ICLR | AS-MLP: An Axial Shifted MLP Architecture for Vision. | Dongze Lian, Zehao Yu, Xing Sun, Shenghua Gao |
| 2021 | AAAI | Appearance-Motion Memory Consistency Network for Video Anomaly Detection. | Ruichu Cai, Hao Zhang, Wen Liu, Shenghua Gao, Zhifeng Hao |
| 2021 | AAAI | KGDet: Keypoint-Guided Fashion Detection. | Shenhan Qian, Dongze Lian, Binqiang Zhao, Tong Liu, Bohui Zhu, Hai Li, Shenghua Gao |
| 2021 | AAAI | Amodal Segmentation Based on Visible Region Segmentation and Shape Prior. | Yuting Xiao, Yanyu Xu, Ziming Zhong, Weixin Luo, Jiawei Li, Shenghua Gao |
| 2021 | BMVC | 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 |
| 2021 | CVPR | Look Before You Leap: Learning Landmark Features for One-Stage Visual Grounding. | Binbin Huang, Dongze Lian, Weixin Luo, Shenghua Gao |
| 2021 | CVPR | Layout-Guided Novel View Synthesis From a Single Indoor Panorama. | Jiale Xu, Jia Zheng, Yanyu Xu, Rui Tang, Shenghua Gao |
| 2021 | CVPR | Learning To Recommend Frame for Interactive Video Object Segmentation in the Wild. | Zhaoyuan Yin, Jia Zheng, Weixin Luo, Shenhan Qian, Hanling Zhang, Shenghua Gao |
| 2021 | CVPR | Prior Based Human Completion. | Zibo Zhao, Wen Liu, Yanyu Xu, Xianing Chen, Weixin Luo, Lei Jin, Bohui Zhu, Tong Liu, Binqiang Zhao, Shenghua Gao |
| 2021 | ICCV | Speech Drives Templates: Co-Speech Gesture Synthesis with Learned Templates. | Shenhan Qian, Zhi Tu, Yihao Zhi, Wen Liu, Shenghua Gao |
| 2021 | ICCV | Crowd Counting With Partial Annotations in an Image. | Yanyu Xu, Ziming Zhong, Dongze Lian, Jing Li, Zhengxin Li, Xinxing Xu, Shenghua Gao |
| 2021 | IROS | 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 |
| 2021 | MICCAI | 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 |
| 2020 | CVPR | 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 | CVPR | Fast-MVSNet: Sparse-to-Dense Multi-View Stereo With Learned Propagation and Gauss-Newton Refinement. | Zehao Yu, Shenghua Gao |
| 2020 | ECCV | P | Zehao Yu, Lei Jin, Shenghua Gao |
| 2020 | ECCV | Structured3D: A Large Photo-Realistic Dataset for Structured 3D Modeling. | Jia Zheng, Junfei Zhang, Jing Li, Rui Tang, Shenghua Gao, Zihan Zhou |
| 2020 | ECCV | 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 |
| 2020 | ICLR | 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 |
| 2019 | AAAI | RGBD Based Gaze Estimation via Multi-Task CNN. | Dongze Lian, Ziheng Zhang, Weixin Luo, Lina Hu, Minye Wu, Zechao Li, Jingyi Yu, Shenghua Gao |
| 2019 | CVPR | Local to Global Learning: Gradually Adding Classes for Training Deep Neural Networks. | Hao Cheng, Dongze Lian, Bowen Deng, Shenghua Gao, Tao Tan, Yanlin Geng |
| 2019 | CVPR | Density Map Regression Guided Detection Network for RGB-D Crowd Counting and Localization. | Dongze Lian, Jing Li, Jia Zheng, Weixin Luo, Shenghua Gao |
| 2019 | CVPR | Single-Image Piece-Wise Planar 3D Reconstruction via Associative Embedding. | Zehao Yu, Jia Zheng, Dongze Lian, Zihan Zhou, Shenghua Gao |
| 2019 | CVPR | 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 |
| 2019 | ICCV | 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 | IJCAI | Margin Learning Embedded Prediction for Video Anomaly Detection with A Few Anomalies. | Wen Liu, Weixin Luo, Zhengxin Li, Peilin Zhao, Shenghua Gao |
| 2019 | MICCAI | 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 |
| 2019 | MICCAI | 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 |
| 2018 | ACCV | Believe It or Not, We Know What You Are Looking At! | Dongze Lian, Zehao Yu, Shenghua Gao |
| 2018 | CVPR | Learning to Parse Wireframes in Images of Man-Made Environments. | Kun Huang, Yifan Wang, Zihan Zhou, Tianjiao Ding, Shenghua Gao, Yi Ma |
| 2018 | CVPR | Future Frame Prediction for Anomaly Detection - A New Baseline. | Wen Liu, Weixin Luo, Dongze Lian, Shenghua Gao |
| 2018 | CVPR | Face Aging With Identity-Preserved Conditional Generative Adversarial Networks. | Zongwei Wang, Xu Tang, Weixin Luo, Shenghua Gao |
| 2018 | CVPR | Gaze Prediction in Dynamic 360° Immersive Videos. | Yanyu Xu, Yanbing Dong, Junru Wu, Zhengzhong Sun, Zhiru Shi, Jingyi Yu, Shenghua Gao |
| 2018 | CVPR | Encoding Crowd Interaction With Deep Neural Network for Pedestrian Trajectory Prediction. | Yanyu Xu, Zhixin Piao, Shenghua Gao |
| 2018 | ECCV | Evaluating Capability of Deep Neural Networks for Image Classification via Information Plane. | Hao Cheng, Dongze Lian, Shenghua Gao, Yanlin Geng |
| 2018 | ECCV | Saliency Detection in 360 ^\circ ∘ Videos. | Ziheng Zhang, Yanyu Xu, Jingyi Yu, Shenghua Gao |
| 2018 | MICCAI | Fundus Image Quality-Guided Diabetic Retinopathy Grading. | Kang Zhou, Zaiwang Gu, Annan Li, Jun Cheng, Shenghua Gao, Jiang Liu |
| 2017 | CVPR | Improving Training of Deep Neural Networks via Singular Value Bounding. | Kui Jia, Dacheng Tao, Shenghua Gao, Xiangmin Xu |
| 2017 | ICCV | A Revisit of Sparse Coding Based Anomaly Detection in Stacked RNN Framework. | Weixin Luo, Wen Liu, Shenghua Gao |
| 2017 | IJCAI | Beyond Universal Saliency: Personalized Saliency Prediction with Multi-task CNN. | Yanyu Xu, Nianyi Li, Junru Wu, Jingyi Yu, Shenghua Gao |
| 2017 | IJCAI | Locality Constrained Deep Supervised Hashing for Image Retrieval. | Hao Zhu, Shenghua Gao |
| 2016 | AAAI | Cold-Start Heterogeneous-Device Wireless Localization. | Vincent W. Zheng, Hong Cao, Shenghua Gao, Aditi Adhikari, Miao Lin, Kevin Chen-Chuan Chang |
| 2016 | CVPR | Progressively Parsing Interactional Objects for Fine Grained Action Detection. | Bingbing Ni, Xiaokang Yang, Shenghua Gao |
| 2016 | CVPR | Single-Image Crowd Counting via Multi-Column Convolutional Neural Network. | Yingying Zhang, Desen Zhou, Siqin Chen, Shenghua Gao, Yi Ma |
| 2016 | ECCV | Bi-Level Multi-column Convolutional Neural Networks for Facial Landmark Point Detection. | Yanyu Xu, Shenghua Gao |
| 2014 | ACCV | Unsupervised Feature Learning for RGB-D Image Classification. | I-Hong Jhuo, Shenghua Gao, Liansheng Zhuang, D. T. Lee, Yi Ma |
| 2014 | ECCV | Efficient Sparsity Estimation via Marginal-Lasso Coding. | Tzu-Yi Hung, Jiwen Lu, Yap-Peng Tan, Shenghua Gao |
| 2014 | ISM | Hand-Crafted Features or Machine Learnt Features? Together They Improve RGB-D Object Recognition. | Lu Jin, Shenghua Gao, Zechao Li, Jinhui Tang |
| 2013 | CVPR | Learning by Associating Ambiguously Labeled Images. | Zinan Zeng, Shijie Xiao, Kui Jia, Tsung-Han Chan, Shenghua Gao, Dong Xu, Yi Ma |
| 2012 | ECCV | Learning Class-to-Image Distance via Large Margin and L1-Norm Regularization. | Zhengxiang Wang, Shenghua Gao, Liang-Tien Chia |
| 2011 | CVPR | Multi-layer group sparse coding - For concurrent image classification and annotation. | Shenghua Gao, Liang-Tien Chia, Ivor Wai-Hung Tsang |
| 2010 | CVPR | Local features are not lonely - Laplacian sparse coding for image classification. | Shenghua Gao, Ivor Wai-Hung Tsang, Liang-Tien Chia, Peilin Zhao |
| 2010 | ECCV | Kernel Sparse Representation for Image Classification and Face Recognition. | Shenghua Gao, Ivor Wai-Hung Tsang, Liang-Tien Chia |
| 2010 | MMM | Discovering Class-Specific Informative Patches and Its Application in Landmark Charaterization. | Shenghua Gao, Xiangang Cheng, Liang-Tien Chia |
| 2009 | ICIP | Concept model-based unsupervised web image re-ranking. | Shenghua Gao, Xiangang Cheng, Huan Wang, Liang-Tien Chia |