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cs.CV2026
Think, Look, and Revise: Inconsistency-Aware Visual Self-Correction in MLLMs
Yu Cheng, Arushi Goel, Hakan Bilen
Tool-augmented multimodal reasoning integrates external tools (e.g., object detection, depth estimation) into multimodal large language models (MLLMs) to address perceptual bottlen…
cs.CV2026
Beyond Pixel Histories: World Models with Persistent 3D State
Samuel Garcin, Thomas Walker, Steven McDonagh +5
Interactive world models continually generate video by responding to a user's actions, enabling open-ended generation capabilities. However, existing models typically lack a 3D rep…
cs.CV2026
Enabling Progressive Whole-slide Image Analysis with Multi-scale Pyramidal Network
Shuyang Wu, Yifu Qiu, Ines P Nearchou +4
Multiple-instance Learning (MIL) is commonly used for computational pathology (CPath), where multi-scale features are essential for capturing both fine cellular details and broad t…