91 citations · 296 across the 23 of their papers we have counts for
18 papers · 1 filter
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…
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…
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…
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…
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…
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 (…