7 papers
DarkVGGT: Seeing Through Darkness Using Thermal Geometry without Daylight Tax
Minseong Kweon, Wenyuan Zhao, Nuo Chen +6
Recent feed-forward 3D reconstruction methods have demonstrated strong performance and flexibility in efficient end-to-end scene geometry estimation from image streams. However, th…
Efficient RGB-T Object Detection via Sparse Cross-Modality Fusion
Chao Tian, Zikun Zhou, Chao Yang +2
RGB-T detectors leverage the complementary strengths of visible and thermal infrared modalities, achieving robust performance under challenging conditions. Many of them resort to h…
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…
AgentRVOS for MeViS-Text Track of 5th PVUW Challenge: 3rd Method
Deshui Miao, Chao Yang, Chao Tian +4
This report describes a Ref-VOS pipeline centered on Sa2VA and organized with explicit agent roles. The key idea is that Sa2VA should provide the first dense semantic hypothesis, w…
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…
Modality-Decoupled RGB-Thermal Object Detector via Query Fusion
Chao Tian, Zikun Zhou, Chao Yang +3
The advantage of RGB-Thermal (RGB-T) detection lies in its ability to perform modality fusion and integrate cross-modality complementary information, enabling robust detection unde…