1 citations · 2 across the 10 of their papers we have counts for
10 papers
LocAnyMed: Vision-Language Grounding for Multimodal Medical Images
Zihan Wang, Tong Liu, Zhiwei Wang +6
Medical visual grounding connects free-form clinical queries to spatial evidence in medical images and is an important component of interpretable medical artificial intelligence. H…
Who Generated This 3D Asset? Learning Source Attribution for Generative 3D Models
Sihan Ma, Siyuan Liang, Dacheng Tao
Generative 3D models are deployed in gaming, robotics, and immersive creation, making source attribution critical: given a 3D asset, can we identify whether and which generative mo…
JOintGS: Joint Optimization of Cameras, Bodies and 3D Gaussians for In-the-Wild Monocular Reconstruction
Zihan Lou, Jinlong Fan, Sihan Ma +2
Reconstructing high-fidelity animatable 3D human avatars from monocular RGB videos remains challenging, particularly in unconstrained in-the-wild scenarios where camera parameters…
ContextGuard-LVLM: Enhancing News Veracity through Fine-grained Cross-modal Contextual Consistency Verification
Sihan Ma, Qiming Wu, Ruotong Jiang +1
The proliferation of digital news media necessitates robust methods for verifying content veracity, particularly regarding the consistency between visual and textual information. T…
End-to-End HOI Reconstruction Transformer with Graph-based Encoding
Zhenrong Wang, Qi Zheng, Sihan Ma +3
With the diversification of human-object interaction (HOI) applications and the success of capturing human meshes, HOI reconstruction has gained widespread attention. Existing main…
PoseBench: Benchmarking the Robustness of Pose Estimation Models under Corruptions
Sihan Ma, Jing Zhang, Qiong Cao +1
Pose estimation aims to accurately identify anatomical keypoints in humans and animals using monocular images, which is crucial for various applications such as human-machine inter…
Contact-aware Human Motion Generation from Textual Descriptions
Sihan Ma, Qiong Cao, Jing Zhang +1
This paper addresses the problem of generating 3D interactive human motion from text. Given a textual description depicting the actions of different body parts in contact with stat…
GraMMaR: Ground-aware Motion Model for 3D Human Motion Reconstruction
Sihan Ma, Qiong Cao, Hongwei Yi +2
Demystifying complex human-ground interactions is essential for accurate and realistic 3D human motion reconstruction from RGB videos, as it ensures consistency between the humans…
Rethinking Portrait Matting with Privacy Preserving
Sihan Ma, Jizhizi Li, Jing Zhang +2
Recently, there has been an increasing concern about the privacy issue raised by identifiable information in machine learning. However, previous portrait matting methods were all b…
Privacy-Preserving Portrait Matting
Jizhizi Li, Sihan Ma, Jing Zhang +1
Recently, there has been an increasing concern about the privacy issue raised by using personally identifiable information in machine learning. However, previous portrait matting m…