activity
20172024
most citedAttentive Generative Adversarial Network for Raindrop Removal from a Single Image

53 citations · 63 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CV2024

SAT-HMR: Real-Time Multi-Person 3D Mesh Estimation via Scale-Adaptive Tokens

Chi Su, Xiaoxuan Ma, Jiajun Su +1

We propose a one-stage framework for real-time multi-person 3D human mesh estimation from a single RGB image. While current one-stage methods, which follow a DETR-style pipeline, a…

cs.CV2023★ 6 cited

ChimpACT: A Longitudinal Dataset for Understanding Chimpanzee Behaviors

Xiaoxuan Ma, Stephan P. Kaufhold, Jiajun Su +6

Understanding the behavior of non-human primates is crucial for improving animal welfare, modeling social behavior, and gaining insights into distinctively human and phylogenetical…

cs.CV2023

3D Human Mesh Estimation from Virtual Markers

Xiaoxuan Ma, Jiajun Su, Chunyu Wang +2

Inspired by the success of volumetric 3D pose estimation, some recent human mesh estimators propose to estimate 3D skeletons as intermediate representations, from which, the dense…

cs.CV2022★ 1 cited

VirtualPose: Learning Generalizable 3D Human Pose Models from Virtual Data

Jiajun Su, Chunyu Wang, Xiaoxuan Ma +2

While monocular 3D pose estimation seems to have achieved very accurate results on the public datasets, their generalization ability is largely overlooked. In this work, we perform…

cs.CV2021★ 3 cited

Context Modeling in 3D Human Pose Estimation: A Unified Perspective

Xiaoxuan Ma, Jiajun Su, Chunyu Wang +2

Estimating 3D human pose from a single image suffers from severe ambiguity since multiple 3D joint configurations may have the same 2D projection. The state-of-the-art methods ofte…

cs.CV2017★ 53 cited

Attentive Generative Adversarial Network for Raindrop Removal from a Single Image

Rui Qian, Robby T. Tan, Wenhan Yang +2

Raindrops adhered to a glass window or camera lens can severely hamper the visibility of a background scene and degrade an image considerably. In this paper, we address the problem…