24 citations · 49 across the 5 of their papers we have counts for
7 papers
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…
Deep Learning of Appearance Models for Online Object Tracking
Mengyao Zhai, Mehrsan Javan Roshtkhari, Greg Mori
This paper introduces a novel deep learning based approach for vision based single target tracking. We address this problem by proposing a network architecture which takes the inpu…
Pose Embeddings: A Deep Architecture for Learning to Match Human Poses
Greg Mori, Caroline Pantofaru, Nisarg Kothari +4
We present a method for learning an embedding that places images of humans in similar poses nearby. This embedding can be used as a direct method of comparing images based on human…
Deep Structured Models For Group Activity Recognition
Zhiwei Deng, Mengyao Zhai, Lei Chen +4
This paper presents a deep neural-network-based hierarchical graphical model for individual and group activity recognition in surveillance scenes. Deep networks are used to recogni…
Learning Temporal Embeddings for Complex Video Analysis
Vignesh Ramanathan, Kevin Tang, Greg Mori +1
In this paper, we propose to learn temporal embeddings of video frames for complex video analysis. Large quantities of unlabeled video data can be easily obtained from the Internet…
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…