4.4k citations · 9.7k across the 80 of their papers we have counts for
9 papers · 2 filters
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-Target Tracking in Multiple Non-Overlapping Cameras using Constrained Dominant Sets
Yonatan Tariku Tesfaye, Eyasu Zemene, Andrea Prati +2
In this paper, a unified three-layer hierarchical approach for solving tracking problems in multiple non-overlapping cameras is proposed. Given a video and a set of detections (obt…
Improving Facial Attribute Prediction using Semantic Segmentation
Mahdi M. Kalayeh, Boqing Gong, Mubarak Shah
Attributes are semantically meaningful characteristics whose applicability widely crosses category boundaries. They are particularly important in describing and recognizing concept…
Video Fill In the Blank using LR/RL LSTMs with Spatial-Temporal Attentions
Amir Mazaheri, Dong Zhang, Mubarak Shah
Given a video and a description sentence with one missing word (we call it the "source sentence"), Video-Fill-In-the-Blank (VFIB) problem is to find the missing word automatically.…
Unsupervised Action Proposal Ranking through Proposal Recombination
Waqas Sultani, Dong Zhang, Mubarak Shah
Recently, action proposal methods have played an important role in action recognition tasks, as they reduce the search space dramatically. Most unsupervised action proposal methods…
ClusterNet: Detecting Small Objects in Large Scenes by Exploiting Spatio-Temporal Information
Rodney LaLonde, Dong Zhang, Mubarak Shah
Object detection in wide area motion imagery (WAMI) has drawn the attention of the computer vision research community for a number of years. WAMI proposes a number of unique challe…
Semi and Weakly Supervised Semantic Segmentation Using Generative Adversarial Network
Nasim Souly, Concetto Spampinato, Mubarak Shah
Semantic segmentation has been a long standing challenging task in computer vision. It aims at assigning a label to each image pixel and needs significant number of pixellevel anno…
Cross-View Image Matching for Geo-localization in Urban Environments
Yicong Tian, Chen Chen, Mubarak Shah
In this paper, we address the problem of cross-view image geo-localization. Specifically, we aim to estimate the GPS location of a query street view image by finding the matching i…
Tube Convolutional Neural Network (T-CNN) for Action Detection in Videos
Rui Hou, Chen Chen, Mubarak Shah
Deep learning has been demonstrated to achieve excellent results for image classification and object detection. However, the impact of deep learning on video analysis (e.g. action…