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Multi-modal Capsule Routing for Actor and Action Video Segmentation Conditioned on Natural Language Queries
Bruce McIntosh, Kevin Duarte, Yogesh S Rawat +1
In this paper, we propose an end-to-end capsule network for pixel level localization of actors and actions present in a video. The localization is performed based on a natural lang…
EgoReID Dataset: Person Re-identification in Videos Acquired by Mobile Devices with First-Person Point-of-View
Emrah Basaran, Yonatan Tariku Tesfaye, Mubarak Shah
In recent years, we have seen the performance of video-based person Re-Identification (ReID) methods have improved considerably. However, most of the work in this area has dealt wi…
Iterative Projection and Matching: Finding Structure-preserving Representatives and Its Application to Computer Vision
Mohsen Joneidi, Alireza Zaeemzadeh, Nazanin Rahnavard +1
The goal of data selection is to capture the most structural information from a set of data. This paper presents a fast and accurate data selection method, in which the selected sa…
Time-Aware and View-Aware Video Rendering for Unsupervised Representation Learning
Shruti Vyas, Yogesh S Rawat, Mubarak Shah
The recent success in deep learning has lead to various effective representation learning methods for videos. However, the current approaches for video representation require large…
Unsupervised Meta-Learning For Few-Shot Image Classification
Siavash Khodadadeh, Ladislau Bölöni, Mubarak Shah
Few-shot or one-shot learning of classifiers requires a significant inductive bias towards the type of task to be learned. One way to acquire this is by meta-learning on tasks simi…
Deep Affinity Network for Multiple Object Tracking
ShiJie Sun, Naveed Akhtar, HuanSheng Song +2
Multiple Object Tracking (MOT) plays an important role in solving many fundamental problems in video analysis in computer vision. Most MOT methods employ two steps: Object Detectio…