activity
20242026
most citedObject-level Geometric Structure Preserving for Natural Image Stitching

3 citations · 5 across the 4 of their papers we have counts for

collaborators

6 papers

cs.CV2026

ScanFocus: A Coarse-to-Fine Framework for Spatio-Temporal Video Grounding

Kai Chen, Ming Dai, Wenxuan Cheng +1

Spatio-Temporal Video Grounding (STVG) aims to retrieve the visual trajectory of a specific object from a video stream as described by a natural language expression. However, most…

cs.CV2025

DeRIS: Decoupling Perception and Cognition for Enhanced Referring Image Segmentation through Loopback Synergy

Ming Dai, Wenxuan Cheng, Jiang-jiang Liu +4

Referring Image Segmentation (RIS) is a challenging task that aims to segment objects in an image based on natural language expressions. While prior studies have predominantly conc…

cs.CV2025

Precise GPS-Denied UAV Self-Positioning via Context-Enhanced Cross-View Geo-Localization

Yuanze Xu, Ming Dai, Wenxiao Cai +1

Image retrieval has been employed as a robust complementary technique to address the challenge of Unmanned Aerial Vehicles (UAVs) self-positioning. However, most existing methods p…

cs.CV2024

Probabilistic Modeling of Disparity Uncertainty for Robust and Efficient Stereo Matching

Wenxiao Cai, Dongting Hu, Ruoyan Yin +4

Stereo matching plays a crucial role in various applications, where understanding uncertainty can enhance both safety and reliability. Despite this, the estimation and analysis of…

cs.CV2024★ 2 cited

SpatialBot: Precise Spatial Understanding with Vision Language Models

Wenxiao Cai, Iaroslav Ponomarenko, Jianhao Yuan +4

Vision Language Models (VLMs) have achieved impressive performance in 2D image understanding, however they are still struggling with spatial understanding which is the foundation o…

cs.CV2024★ 3 cited

Object-level Geometric Structure Preserving for Natural Image Stitching

Wenxiao Cai, Wankou Yang

The topic of stitching images with globally natural structures holds paramount significance, with two main goals: pixel-level alignment and distortion prevention. The existing appr…