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20162026
most citedSampling Strategies for GAN Synthetic Data

39 citations · 84 across the 22 of their papers we have counts for

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5 papers · 1 filter

cs.RO2026

2nd Place Solution to the HANDS 2026 Workshop Challenge-Dexterous Grasp Motion Track: Single-Shot Trajectory Warping for Grasp Motion Generation

Muneeb A. Khan, Woojin Kim, Shinwoo Kim +3

This report describes our 2nd place solution to the HANDS 2026 workshop challenge (Dexterous Grasp Motion track) in conjunction with ECCV 2026. In this challenge, we address grasp…

cs.CV2026

FlexiAvatar: Unified 3D Gaussian Human Avatars Under Arbitrary Body Visibility

Yihalem Yimolal Tiruneh, Muhammad Salman Ali, Uyoung Jeong +5

Reconstructing animatable 3D human avatars from monocular video is a fundamental problem in computer vision with broad applications in AR/VR and digital content creation. Existing…

cs.CV2026

Multi-THuMBS: Multi-person Tracking of 3D Human Meshes Beyond Video Shots

Jeongwan On, Muhammad Salman Ali, Muneeb A. Khan +6

Tracking multi-person 3D human meshes from in-the-wild videos is a highly challenging problem due to complex interactions, frequent occlusions, and severe truncation inherent in un…

cs.CV2026

THOM: Generating Physically Plausible Hand-Object Meshes From Text

Uyoung Jeong, Yihalem Yimolal Tiruneh, Hyung Jin Chang +2

Generating photorealistic 3D hand-object interactions (HOIs) from text is important for applications like robotic grasping and AR/VR content creation. In practice, however, achievi…

cs.CV2026

HandVQA: Diagnosing and Improving Fine-Grained Spatial Reasoning about Hands in Vision-Language Models

MD Khalequzzaman Chowdhury Sayem, Mubarrat Tajoar Chowdhury, Yihalem Yimolal Tiruneh +4

Understanding the fine-grained articulation of human hands is critical in high-stakes settings such as robot-assisted surgery, chip manufacturing, and AR/VR-based human-AI interact…