7 citations · 11 across the 3 of their papers we have counts for
6 papers · 1 filter
Feature Hallucination for Self-supervised Action Recognition
Lei Wang, Piotr Koniusz
Understanding human actions in videos requires more than raw pixel analysis; it relies on high-level semantic reasoning and effective integration of multimodal features. We propose…
AP-CAP: Advancing High-Quality Data Synthesis for Animal Pose Estimation via a Controllable Image Generation Pipeline
Lei Wang, Yujie Zhong, Xiaopeng Sun +5
The task of 2D animal pose estimation plays a crucial role in advancing deep learning applications in animal behavior analysis and ecological research. Despite notable progress in…
Do Language Models Understand Time?
Xi Ding, Lei Wang
Large language models (LLMs) have revolutionized video-based computer vision applications, including action recognition, anomaly detection, and video summarization. Videos inherent…
When Spatial meets Temporal in Action Recognition
Huilin Chen, Lei Wang, Yifan Chen +2
Video action recognition has made significant strides, but challenges remain in effectively using both spatial and temporal information. While existing methods often focus on eithe…
3Mformer: Multi-order Multi-mode Transformer for Skeletal Action Recognition
Lei Wang, Piotr Koniusz
Many skeletal action recognition models use GCNs to represent the human body by 3D body joints connected body parts. GCNs aggregate one- or few-hop graph neighbourhoods, and ignore…
3D Skeleton-based Few-shot Action Recognition with JEANIE is not so Naïve
Lei Wang, Jun Liu, Piotr Koniusz
In this paper, we propose a Few-shot Learning pipeline for 3D skeleton-based action recognition by Joint tEmporal and cAmera viewpoiNt alIgnmEnt (JEANIE). To factor out misalignmen…