3 papers
cs.RO2026
Recover to Predict: Progressive Retrospective Learning for Variable-Length Trajectory Prediction
Hao Zhou, Lu Qi, Jason Li +5
Trajectory prediction is critical for autonomous driving, enabling safe and efficient planning in dense, dynamic traffic. Most existing methods optimize prediction accuracy under f…
cs.CV2025
Seg-VAR: Image Segmentation with Visual Autoregressive Modeling
Rongkun Zheng, Lu Qi, Xi Chen +3
While visual autoregressive modeling (VAR) strategies have shed light on image generation with the autoregressive models, their potential for segmentation, a task that requires pre…
cs.CV2024
SyncVIS: Synchronized Video Instance Segmentation
Rongkun Zheng, Lu Qi, Xi Chen +4
Recent DETR-based methods have advanced the development of Video Instance Segmentation (VIS) through transformers' efficiency and capability in modeling spatial and temporal inform…