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cs.CV2026

StreamOPD: A Post-Training Recipe with Spatio-Temporal Cue Gating for Streaming Video Understanding

Keming Wu, Baoyi Wang, Kaichen Zhang +7

Streaming video understanding demands direct responses from the causally observed prefix of an unfolding video. Existing systems add inference-time memory, retrieval, and compressi…

cs.CV2026

Enhancing Pathological VLMs with Cross-scale Reasoning

Chi Phan, Tianyi Zhang, Qiaochu Xue +5

Pathological images are inherently multi-scale, requiring pathologists to integrate evidence from global tissue architecture at low magnification to cellular morphology at higher m…

cs.CV2026

PathScale-R1: Cross-scale Reasoning for Pathological Image Analysis

Chi Phan, Tianyi Zhang, Yufeng Wu +7

Pathological diagnosis is inherently multi-scale, requiring the integration of global tissue architecture at low magnification with cellular morphology at higher magnification. How…

cs.CV2026

ParaVT: Taming the Tool Prior Paradox for Parallel Tool Use in Agentic Video Reinforcement Learning

Zuhao Yang, Kaichen Zhang, Sudong Wang +7

Training large multimodal models (LMMs) via reinforcement learning (RL) to natively invoke video-processing tools (e.g., cropping) has become a promising route to long-video unders…

cs.CV2026

WorldReasonBench: Human-Aligned Stress Testing of Video Generators as Future World-State Predictors

Keming Wu, Yijing Cui, Wenhan Xue +11

Commercial video generation systems such as Seedance2.0 and Veo3.1 have rapidly improved, strengthening the view that video generators may be evolving into "world simulators." Yet…

cs.CV2026

Visual Generation in the New Era: An Evolution from Atomic Mapping to Agentic World Modeling

Keming Wu, Zuhao Yang, Kaichen Zhang +24

Recent visual generation models have made major progress in photorealism, typography, instruction following, and interactive editing, yet they still struggle with spatial reasoning…