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cs.CV2026
Count Anything at Any Granularity
Chang Liu, Haoning Wu, Weidi Xie
Open-world object counting remains brittle: despite rapid advances in vision-language models (VLMs), reliably counting the objects a user intends is far from solved. We argue that…
cs.CV2026
OmniStream: Mastering Perception, Reconstruction and Action in Continuous Streams
Yibin Yan, Jilan Xu, Shangzhe Di +2
Modern visual agents require representations that are general, causal, and physically structured to operate in real-time streaming environments. However, current vision foundation…
cs.CV2026
Real-World Point Tracking with Verifier-Guided Pseudo-Labeling
Görkay Aydemir, Fatma Güney, Weidi Xie
Models for long-term point tracking are typically trained on large synthetic datasets. The performance of these models degrades in real-world videos due to different characteristic…