| 2025 | WACV | Learning Semi-Supervised Medical Image Segmentation from Spatial Registration. | Qianying Liu, Paul Henderson, Xiao Gu, Hang Dai, Fani Deligianni |
| 2024 | ICRA | Improving Radial Imbalances with Hybrid Voxelization and RadialMix for LiDAR 3D Semantic Segmentation. | Jiale Li, Hang Dai, Yu Wang, Guangzhi Cao, Chun Luo, Yong Ding |
| 2023 | AAAI | High-Resolution Iterative Feedback Network for Camouflaged Object Detection. | Xiaobin Hu, Shuo Wang, Xuebin Qin, Hang Dai, Wenqi Ren, Donghao Luo, Ying Tai, Ling Shao |
| 2023 | CVPR | Feature Shrinkage Pyramid for Camouflaged Object Detection with Transformers. | Zhou Huang, Hang Dai, Tian-Zhu Xiang, Shuo Wang, Huai-Xin Chen, Jie Qin, Huan Xiong |
| 2023 | CVPR | MSeg3D: Multi-Modal 3D Semantic Segmentation for Autonomous Driving. | Jiale Li, Hang Dai, Hao Han, Yong Ding |
| 2023 | ICRA | CEAFFOD: Cross-Ensemble Attention-based Feature Fusion Architecture Towards a Robust and Real-time UAV-based Object Detection in Complex Scenarios. | Ahmed Elhagry, Hang Dai, Abdulmotaleb El Saddik, Wail Gueaieb, Giulia De Masi |
| 2023 | IROS | Pseudo-Stereo++: Cycled Generative Pseudo-Stereo for Monocular 3D Object Detection in Autonomous Driving. | Ahmed Elhagry, Hang Dai, Abdulmotaleb El Saddik |
| 2022 | ACCV | Convolutional Point Transformer. | Chaitanya Kaul, Joshua Mitton, Hang Dai, Roderick Murray-Smith |
| 2022 | CVPR | Pseudo-Stereo for Monocular 3D Object Detection in Autonomous Driving. | Yi-Nan Chen, Hang Dai, Yong Ding |
| 2022 | ECCV | Cross-Modality Knowledge Distillation Network for Monocular 3D Object Detection. | Yu Hong, Hang Dai, Yong Ding |
| 2022 | ECCV | Self-Distillation for Robust LiDAR Semantic Segmentation in Autonomous Driving. | Jiale Li, Hang Dai, Yong Ding |
| 2022 | ECCV | Highly Accurate Dichotomous Image Segmentation. | Xuebin Qin, Hang Dai, Xiaobin Hu, Deng-Ping Fan, Ling Shao, Luc Van Gool |
| 2021 | CVPR | M3DSSD: Monocular 3D Single Stage Object Detector. | Shujie Luo, Hang Dai, Ling Shao, Yong Ding |
| 2020 | ECCV | Commands for Autonomous Vehicles by Progressively Stacking Visual-Linguistic Representations. | Hang Dai, Shujie Luo, Yong Ding, Ling Shao |
| 2020 | ECCV | C4AV: Learning Cross-Modal Representations from Transformers. | Shujie Luo, Hang Dai, Ling Shao, Yong Ding |
| 2020 | ICPR | Penalizing Small Errors Using an Adaptive Logarithmic Loss. | Chaitanya Kaul, Nick E. Pears, Hang Dai, Roderick Murray-Smith, Suresh Manandhar |
| 2019 | ICCV | PointAE: Point Auto-Encoder for 3D Statistical Shape and Texture Modelling. | Hang Dai, Ling Shao |
| 2019 | MICCAI | ET-Net: A Generic Edge-aTtention Guidance Network for Medical Image Segmentation. | Zhijie Zhang, Huazhu Fu, Hang Dai, Jianbing Shen, Yanwei Pang, Ling Shao |
| 2018 | ECCV | Non-rigid 3D Shape Registration Using an Adaptive Template. | Hang Dai, Nick E. Pears, William A. P. Smith |
| 2018 | ISMIS | A Novel Personalized Citation Recommendation Approach Based on GAN. | Ye Zhang, Libin Yang, Xiaoyan Cai, Hang Dai |
| 2017 | ICCV | A 3D Morphable Model of Craniofacial Shape and Texture Variation. | Hang Dai, Nick E. Pears, William A. P. Smith, Christian Duncan |
| 2016 | CVPR | Functional Faces: Groupwise Dense Correspondence Using Functional Maps. | Chao Zhang, William A. P. Smith, Arnaud Dessein, Nick E. Pears, Hang Dai |