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cs.CV2026

GeoWeaver: Grounding Visual Tokens with Geometric Evidence before Scene Reasoning

Deshui Miao, Xingsen Huang, Yameng Gu +3

Spatio-temporal reasoning in vision-language models requires visual representations that preserve physical geometry rather than merely semantic appearance. Recent multimodal models…

cs.CV2026

Report of the 5th PVUW Challenge: Towards More Diverse Modalities in Pixel-Level Understanding

Chang Liu, Henghui Ding, Nikhila Ravi +40

This report summarizes the objectives, datasets, and top-performing methodologies of the 2026 Pixel-level Video Understanding in the Wild (PVUW) Challenge, hosted at CVPR 2026, whi…

cs.CV2026

OAMVOS:2nd Report for 5th PVUW MOSE Track

Deshui Miao, Xingsen Huang, Yameng Gu +3

SAM-based dense trackers provide strong short-term mask propagation but remain fragile under long occlusion, fast motion, viewpoint change, and distractors. The problem is especial…

cs.CV2026

Fusing in 3D: Free-Viewpoint Fusion Rendering with a 3D Infrared-Visible Scene Representation

Chao Yang, Deshui Miao, Chao Tian +3

Infrared-visible image fusion aims to integrate infrared and visible information into a single fused image. Existing 2D fusion methods focus on fusing images from fixed camera view…

cs.CV2024

LSVOS Challenge Report: Large-scale Complex and Long Video Object Segmentation

Henghui Ding, Lingyi Hong, Chang Liu +30

Despite the promising performance of current video segmentation models on existing benchmarks, these models still struggle with complex scenes. In this paper, we introduce the 6th…

cs.CV2024

Discriminative Spatial-Semantic VOS Solution: 1st Place Solution for 6th LSVOS

Deshui Miao, Yameng Gu, Xin Li +3

Video object segmentation (VOS) is a crucial task in computer vision, but current VOS methods struggle with complex scenes and prolonged object motions. To address these challenges…