119 citations · 138 across the 3 of their papers we have counts for
3 papers
cs.LG2017★ 119 cited
Toward Robustness against Label Noise in Training Deep Discriminative Neural Networks
Arash Vahdat
Collecting large training datasets, annotated with high-quality labels, is costly and time-consuming. This paper proposes a novel framework for training deep convolutional neural n…
cs.CV2016★ 17 cited
Hierarchical Deep Temporal Models for Group Activity Recognition
Mostafa S. Ibrahim, Srikanth Muralidharan, Zhiwei Deng +2
In this paper we present an approach for classifying the activity performed by a group of people in a video sequence. This problem of group activity recognition can be addressed by…
cs.CV2015★ 2 cited
Discovering Human Interactions in Videos with Limited Data Labeling
Mehran Khodabandeh, Arash Vahdat, Guang-Tong Zhou +4
We present a novel approach for discovering human interactions in videos. Activity understanding techniques usually require a large number of labeled examples, which are not availa…