41 citations · 70 across the 5 of their papers we have counts for
5 papers
An Efficient 3D CNN for Action/Object Segmentation in Video
Rui Hou, Chen Chen, Rahul Sukthankar +1
Convolutional Neural Network (CNN) based image segmentation has made great progress in recent years. However, video object segmentation remains a challenging task due to its high c…
Robust 3D Action Recognition through Sampling Local Appearances and Global Distributions
Mengyuan Liu, Hong Liu, Chen Chen
3D action recognition has broad applications in human-computer interaction and intelligent surveillance. However, recognizing similar actions remains challenging since previous lit…
An End-to-end 3D Convolutional Neural Network for Action Detection and Segmentation in Videos
Rui Hou, Chen Chen, Mubarak Shah
In this paper, we propose an end-to-end 3D CNN for action detection and segmentation in videos. The proposed architecture is a unified deep network that is able to recognize and lo…
Multi-modal Aggregation for Video Classification
Chen Chen, Xiaowei Zhao, Yang Liu
In this paper, we present a solution to Large-Scale Video Classification Challenge (LSVC2017) [1] that ranked the 1st place. We focused on a variety of modalities that cover visual…
Deep Spatio-temporal Manifold Network for Action Recognition
Ce Li, Chen Chen, Baochang Zhang +3
Visual data such as videos are often sampled from complex manifold. We propose leveraging the manifold structure to constrain the deep action feature learning, thereby minimizing t…