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20162022
most citedUPSET and ANGRI : Breaking High Performance Image Classifiers

91 citations · 296 across the 23 of their papers we have counts for

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Showing 2018Show all

18 papers · 1 filter

cs.CV2018

An Automatic System for Unconstrained Video-Based Face Recognition

Jingxiao Zheng, Rajeev Ranjan, Ching-Hui Chen +3

Although deep learning approaches have achieved performance surpassing humans for still image-based face recognition, unconstrained video-based face recognition is still a challeng…

cs.CV2018

A Proposal-Based Solution to Spatio-Temporal Action Detection in Untrimmed Videos

Joshua Gleason, Rajeev Ranjan, Steven Schwarcz +3

Existing approaches for spatio-temporal action detection in videos are limited by the spatial extent and temporal duration of the actions. In this paper, we present a modular syste…

cs.CV2018

Recognizing Disguised Faces in the Wild

Maneet Singh, Richa Singh, Mayank Vatsa +2

Research in face recognition has seen tremendous growth over the past couple of decades. Beginning from algorithms capable of performing recognition in constrained environments, th…

cs.CV2018

Deep Regionlets: Blended Representation and Deep Learning for Generic Object Detection

Hongyu Xu, Xutao Lv, Xiaoyu Wang +3

In this paper, we propose a novel object detection algorithm named "Deep Regionlets" by integrating deep neural networks and a conventional detection schema for accurate generic ob…

cs.CV2018

Learning without Memorizing

Prithviraj Dhar, Rajat Vikram Singh, Kuan-Chuan Peng +2

Incremental learning (IL) is an important task aimed at increasing the capability of a trained model, in terms of the number of classes recognizable by the model. The key problem i…

cs.LG2018

Entropic GANs meet VAEs: A Statistical Approach to Compute Sample Likelihoods in GANs

Yogesh Balaji, Hamed Hassani, Rama Chellappa +1

Building on the success of deep learning, two modern approaches to learn a probability model from the data are Generative Adversarial Networks (GANs) and Variational AutoEncoders (…