activity
20232026
most citedUnsupervised Cross-Domain 3D Human Pose Estimation via Pseudo-Label-Guided Global Transforms

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

collaborators

5 papers

cs.LG2026

The Anatomy of Implicit Bias: Information Allocation in Neural Network Training

Zhang Gongyue, Wang Zhiyong, Liu Donghan +3

Implicit bias is usually explained as the preference of an optimization process for certain final solutions and their geometry. This view helps explain where a model finally stops.…

cs.CV2025★ 2 cited

Unsupervised Cross-Domain 3D Human Pose Estimation via Pseudo-Label-Guided Global Transforms

Jingjing Liu, Zhiyong Wang, Xinyu Fan +3

Existing 3D human pose estimation methods often suffer in performance, when applied to cross-scenario inference, due to domain shifts in characteristics such as camera viewpoint, p…

cs.CV2024★ 1 cited

Language-Assisted Human Part Motion Learning for Skeleton-Based Temporal Action Segmentation

Bowen Chen, Haoyu Ji, Zhiyong Wang +5

Skeleton-based Temporal Action Segmentation involves the dense action classification of variable-length skeleton sequences. Current approaches primarily apply graph-based networks…

cs.CV2024

Exploring Self- and Cross-Triplet Correlations for Human-Object Interaction Detection

Weibo Jiang, Weihong Ren, Jiandong Tian +3

Human-Object Interaction (HOI) detection plays a vital role in scene understanding, which aims to predict the HOI triplet in the form of <human, object, action>. Existing methods m…

cs.CV2023

Full Resolution Repetition Counting

Jianing Li, Bowen Chen, Zhiyong Wang +1

Given an untrimmed video, repetitive actions counting aims to estimate the number of repetitions of class-agnostic actions. To handle the various length of videos and repetitive ac…