3 papers
cs.CV2026
Enhancing Train-Free Infinite-Frame Generation for Consistent Long Videos
X. Feng, J. Zhu, M. Wu +6
Without incurring significant computational overhead, train-free long video generation aims to enable foundation video generation models to produce longer videos. Frame-level autor…
cs.CV2026
NarrLV: Towards a Comprehensive Narrative-Centric Evaluation for Long Video Generation
X. Feng, H. Yu, M. Wu +6
With the rapid development of foundation video generation technologies, long video generation models have exhibited promising research potential thanks to expanded content creation…
cs.CV2025
CSTrack: Enhancing RGB-X Tracking via Compact Spatiotemporal Features
X. Feng, D. Zhang, S. Hu +5
Effectively modeling and utilizing spatiotemporal features from RGB and other modalities (\eg, depth, thermal, and event data, denoted as X) is the core of RGB-X tracker design. Ex…