activity
20202026
most citedMulti-Person Extreme Motion Prediction

9 citations · 23 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2026

Dual-level Adaptation for Multi-Object Tracking: Building Test-Time Calibration from Experience and Intuition

Wen Guo, Pengfei Zhao, Zongmeng Wang +2

Multiple Object Tracking (MOT) has long been a fundamental task in computer vision, with broad applications in various real-world scenarios. However, due to distribution shifts in…

cs.CV2022★ 7 cited

HiT-DVAE: Human Motion Generation via Hierarchical Transformer Dynamical VAE

Xiaoyu Bie, Wen Guo, Simon Leglaive +3

Studies on the automatic processing of 3D human pose data have flourished in the recent past. In this paper, we are interested in the generation of plausible and diverse future hum…

cs.CV2021★ 5 cited

1st Place Solution for the UVO Challenge on Image-based Open-World Segmentation 2021

Yuming Du, Wen Guo, Yang Xiao +1

We describe our two-stage instance segmentation framework we use to compete in the challenge. The first stage of our framework consists of an object detector, which generates objec…

cs.CV2021★ 9 cited

Multi-Person Extreme Motion Prediction

Wen Guo, Xiaoyu Bie, Xavier Alameda-Pineda +1

Human motion prediction aims to forecast future poses given a sequence of past 3D skeletons. While this problem has recently received increasing attention, it has mostly been tackl…

cs.CV2020★ 2 cited

PI-Net: Pose Interacting Network for Multi-Person Monocular 3D Pose Estimation

Wen Guo, Enric Corona, Francesc Moreno-Noguer +1

Recent literature addressed the monocular 3D pose estimation task very satisfactorily. In these studies, different persons are usually treated as independent pose instances to esti…