activity
20152025
most citedRecent Advances in Convolutional Neural Networks

325 citations · 420 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2025★ 3 cited

Joint Image-Instance Spatial-Temporal Attention for Few-shot Action Recognition

Zefeng Qian, Chongyang Zhang, Yifei Huang +2

Few-shot Action Recognition (FSAR) constitutes a crucial challenge in computer vision, entailing the recognition of actions from a limited set of examples. Recent approaches mainly…

cs.CV2016★ 3 cited

Spatio-Temporal LSTM with Trust Gates for 3D Human Action Recognition

Jun Liu, Amir Shahroudy, Dong Xu +1

3D action recognition - analysis of human actions based on 3D skeleton data - becomes popular recently due to its succinctness, robustness, and view-invariant representation. Recen…

cs.CV2015★ 325 cited

Recent Advances in Convolutional Neural Networks

Jiuxiang Gu, Zhenhua Wang, Jason Kuen +9

In the last few years, deep learning has led to very good performance on a variety of problems, such as visual recognition, speech recognition and natural language processing. Amon…

cs.CV2015★ 86 cited

Tracklet Association by Online Target-Specific Metric Learning and Coherent Dynamics Estimation

Bing Wang, Gang Wang, Kap Luk Chan +1

In this paper, we present a novel method based on online target-specific metric learning and coherent dynamics estimation for tracklet (track fragment) association by network flow…

cs.CV2015★ 3 cited

Multimodal Multipart Learning for Action Recognition in Depth Videos

Amir Shahroudy, Gang Wang, Tian-Tsong Ng +1

The articulated and complex nature of human actions makes the task of action recognition difficult. One approach to handle this complexity is dividing it to the kinetics of body pa…