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cs.CV2026
Time-JEPA: Grounding Video World Models with Physical Time Series
Shenyi Li, Ziyang Zhang, Wen Wu +2
Video world models learn how visual environments evolve by predicting missing or future content. However, physical-state information can provide useful context for predicting how e…
cs.CV2025
Learning Depth from Past Selves: Self-Evolution Contrast for Robust Depth Estimation
Jing Cao, Kui Jiang, Shenyi Li +2
Self-supervised depth estimation has gained significant attention in autonomous driving and robotics. However, existing methods exhibit substantial performance degradation under ad…
cs.CV2025
NTIRE 2025 Challenge on HR Depth from Images of Specular and Transparent Surfaces
Pierluigi Zama Ramirez, Fabio Tosi, Luigi Di Stefano +36
This paper reports on the NTIRE 2025 challenge on HR Depth From images of Specular and Transparent surfaces, held in conjunction with the New Trends in Image Restoration and Enhanc…