π Hi there! I am a third-year Ph.D. Student at the University of Macau.
My research focuses on Computer Vision and Machine Learning.
My long-term goal is to build General World Models with inherent Spatial Intelligence. Currently, I explore Spatio-Temporal Representation Learning to enable machines to perceive, understand, and predict dynamic 3D environments from video streams.
- [ICCV 2025] Semantic Causality-Aware Vision-Based 3D Occupancy Prediction
Dubing Chen, Huan Zheng, Yucheng Zhou, Xianfei Li, Wenlong Liao, Tao He, Pai Peng, Jianbing Shen
- [ICCV 2025] ALOcc: Adaptive Lifting-based 3D Semantic Occupancy and Cost Volume-based Flow Prediction
Dubing Chen, Jin Fang, Wencheng Han, Xinjing Cheng, Junbo Yin, Chenzhong Xu, Fahad Shahbaz Khan, Jianbing Shen
- [CVPR 2025] Rethinking Temporal Fusion with A Unified Gradient Descent View for 3D Semantic Occupancy Prediction
Dubing Chen, Huan Zheng, Jin Fang, Xingping Dong, Xianfei Li, Wenlong Liao, Tao He, Pai Peng, Jianbing Shen
- [IJCAI 2024] Evolutionary Generalized Zero-Shot Learning (Long Oral)
Dubing Chen, Chenyi Jiang, Haofeng Zhang
- [AAAI 2023] Deconstructed Generation-Based Zero-Shot Model
Dubing Chen, Yuming Shen, Haofeng Zhang, Philip H.S. Torr
- 1st Place in CVPR 2025 Workshop of Autonomous Driving - AV2 Scenario Mining Challenge
- 2nd Place in CVPR 2024 Workshop of Autonomous Driving - Track on Occupancy and Flow

