| Werewolf among us: Multimodal resources for modeling persuasion behaviors in social deduction games B Lai, H Zhang, M Liu, A Pariani, F Ryan, W Jia, SA Hayati, J Rehg, ... Association for Computational Linguistics: ACL 2023, 2023 | 20* | 2023 |
| In the Eye of Transformer: Global-Local Correlation for Egocentric Gaze Estimation B Lai, M Liu, F Ryan, J Rehg 33rd British Machine Vision Conference Proceedings, BMVC 2022 (Best Student …, 2022 | 18 | 2022 |
| In the eye of transformer: Global–local correlation for egocentric gaze estimation and beyond B Lai, M Liu, F Ryan, JM Rehg International Journal of Computer Vision 132 (3), 854-871, 2024 | 14 | 2024 |
| LEGO: Learning EGOcentric Action Frame Generation via Visual Instruction Tuning B Lai, X Dai, L Chen, G Pang, JM Rehg, M Liu European Conference on Computer Vision (Oral, Best Paper Finalist), 2024 | 8 | 2024 |
| Semi-supervised Vein Segmentation of Ultrasound Images for Autonomous Venipuncture Y Chen, Y Wang, B Lai, Z Chen, X Cao, N Ye, Z Ren, J Zhao, XY Zhou, ... 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2021 | 8* | 2021 |
| Mm-spubench: Towards better understanding of spurious biases in multimodal llms W Ye, G Zheng, Y Ma, X Cao, B Lai, JM Rehg, A Zhang NeurIPS 2024 Workshop on Responsibly Building the Next Generation of …, 2024 | 7 | 2024 |
| What is the visual cognition gap between humans and multimodal llms? X Cao, B Lai, W Ye, Y Ma, J Heintz, J Chen, J Cao, JM Rehg arXiv preprint arXiv:2406.10424, 2024 | 6 | 2024 |
| Listen to look into the future: Audio-visual egocentric gaze anticipation B Lai, F Ryan, W Jia, M Liu, JM Rehg European Conference on Computer Vision, 2024 | 5 | 2024 |
| Scalable Semi-supervised Landmark Localization for X-ray Images using Few-shot Deep Adaptive Graph XY Zhou, B Lai, W Li, Y Wang, K Zheng, F Wang, C Lin, L Lu, L Huang, ... Deep Generative Models, and Data Augmentation, Labelling, and Imperfections …, 2021 | 5 | 2021 |
| Modeling multimodal social interactions: new challenges and baselines with densely aligned representations S Lee, B Lai, F Ryan, B Boote, JM Rehg Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 4 | 2024 |
| Liver Tumor Localization and Characterization from Multi-phase MR Volumes Using Key-Slice Prediction: A Physician-Inspired Approach B Lai, Y Wu, X Bai, XY Zhou, P Wang, J Cai, Y Huo, L Huang, Y Xia, ... International Workshop on PRedictive Intelligence In MEdicine, 47-58, 2021 | 3* | 2021 |
| Venibot: Towards autonomous venipuncture with automatic puncture area and angle regression from nir images X Cao, Z Chen, B Lai, Y Wang, Y Chen, Z Cao, Z Yang, N Ye, J Zhao, ... IROS2021 Workshop: Perception and Navigation for Autonomous Robotics in …, 2021 | 3 | 2021 |
| Spatial regularized classification network for spinal dislocation diagnosis B Lai, S Peng, G Yao, Y Zhang, X Zhang, Y Wang, H Zhao Machine Learning in Medical Imaging: 10th International Workshop, MLMI 2019 …, 2019 | 3 | 2019 |
| Towards social AI: A survey on understanding social interactions S Lee, M Li, B Lai, W Jia, F Ryan, X Cao, O Kara, B Boote, W Shi, D Yang, ... arXiv preprint arXiv:2409.15316, 2024 | 2 | 2024 |
| Weakly supervised segmentation of vertebral bodies with iterative slice-propagation S Peng, B Lai, G Yao, X Zhang, Y Zhang, YF Wang, H Zhao Domain Adaptation and Representation Transfer and Medical Image Learning …, 2019 | 2 | 2019 |
| A deep learning pipeline for localization, differentiation, and uncertainty estimation of liver lesions using multi-phasic and multi-sequence MRI P Wang, Y Wu, B Lai, XY Zhou, L Lu, W Liu, H Zhou, L Huang, J Xiao, ... arXiv preprint arXiv:2110.08817, 2021 | 1 | 2021 |
| Hetero-Modal Learning and Expansive Consistency Constraints for Semi-Supervised Detection from Multi-Sequence Data B Lai, Y Wu, XY Zhou, P Wang, L Lu, L Huang, M Han, J Xiao, H Hu, ... International Workshop on Machine Learning in Medical Imaging, 2021 | 1 | 2021 |
| Building a Mind Palace: Structuring Environment-Grounded Semantic Graphs for Effective Long Video Analysis with LLMs Z Huang, Y Ji, X Wang, N Mehta, T Xiao, D Lee, S Vanvalkenburgh, S Zha, ... arXiv preprint arXiv:2501.04336, 2025 | | 2025 |
| Unleashing In-context Learning of Autoregressive Models for Few-shot Image Manipulation B Lai, F Juefei-Xu, M Liu, X Dai, N Mehta, C Zhu, Z Huang, JM Rehg, ... arXiv preprint arXiv:2412.01027, 2024 | | 2024 |
| Human Action Anticipation: A Survey B Lai, S Toyer, T Nagarajan, R Girdhar, S Zha, JM Rehg, K Kitani, ... arXiv preprint arXiv:2410.14045, 2024 | | 2024 |
James M. RehgFounder Professor of Computer Science, University of Illinois at Urbana-ChampaignPatvirtintas el. paštas illinois.edu