Vijay Chandrasekhar | DeepAI

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∙ 01/13/2021

A*HAR: A New Benchmark towards Semi-supervised learning for Class-imbalanced Human Activity Recognition

Despite the vast literature on Human Activity Recognition (HAR) with wea...

0 Govind Narasimman, et al. ∙

∙ 07/09/2020

Learning to Prune Deep Neural Networks via Reinforcement Learning

This paper proposes PuRL - a deep reinforcement learning (RL) based algo...

92 Manas Gupta, et al. ∙

∙ 06/25/2020

Empirical Analysis of Overfitting and Mode Drop in GAN Training

We examine two key questions in GAN training, namely overfitting and mod...

0 Yasin Yazıcı, et al. ∙

∙ 04/16/2020

Classification Representations Can be Reused for Downstream Generations

Contrary to the convention of using supervision for class-conditioned ge...

1 Saisubramaniam Gopalakrishnan, et al. ∙

∙ 09/17/2019

A*3D Dataset: Towards Autonomous Driving in Challenging Environments

With the increasing global popularity of self-driving cars, there is an ...

7 Quang-Hieu Pham, et al. ∙

∙ 02/09/2019

Venn GAN: Discovering Commonalities and Particularities of Multiple Distributions

We propose a GAN design which models multiple distributions effectively ...

0 Yasin Yazıcı, et al. ∙

∙ 01/04/2019

Dataflow-based Joint Quantization of Weights and Activations for Deep Neural Networks

This paper addresses a challenging problem - how to reduce energy consum...

14 Xue Geng, et al. ∙

∙ 12/19/2018

Semi-Supervised Deep Learning for Abnormality Classification in Retinal Images

Supervised deep learning algorithms have enabled significant performance...

14 Bruno Lecouat, et al. ∙

∙ 11/12/2018

Holistic Multi-modal Memory Network for Movie Question Answering

Answering questions according to multi-modal context is a challenging pr...

12 Anran Wang, et al. ∙

∙ 08/22/2018

Deep Adaptive Temporal Pooling for Activity Recognition

Deep neural networks have recently achieved competitive accuracy for hum...

0 Sibo Song, et al. ∙

∙ 07/11/2018

Manifold regularization with GANs for semi-supervised learning

Generative Adversarial Networks are powerful generative models that are ...

0 Bruno Lecouat, et al. ∙

∙ 07/07/2018

Optimistic mirror descent in saddle-point problems: Going the extra (gradient) mile

Owing to their connection with generative adversarial networks (GANs), s...

0 Panayotis Mertikopoulos, et al. ∙

∙ 07/07/2018

Mirror descent in saddle-point problems: Going the extra (gradient) mile

Owing to their connection with generative adversarial networks (GANs), s...

0 Panayotis Mertikopoulos, et al. ∙

∙ 06/12/2018

The Unusual Effectiveness of Averaging in GAN Training

We show empirically that the optimal strategy of parameter averaging in ...

0 Yasin Yazıcı, et al. ∙

∙ 03/06/2018

Online Deep Learning: Growing RBM on the fly

We propose a novel online learning algorithm for Restricted Boltzmann Ma...

0 Savitha Ramasamy, et al. ∙

∙ 11/06/2017

End-to-End Video Classification with Knowledge Graphs

Video understanding has attracted much research attention especially sin...

0 Fang Yuan, et al. ∙

∙ 07/18/2017

Pruning Convolutional Neural Networks for Image Instance Retrieval

In this work, we focus on the problem of image instance retrieval with d...

0 Gaurav Manek, et al. ∙

∙ 06/17/2017

Truly Multi-modal YouTube-8M Video Classification with Video, Audio, and Text

The YouTube-8M video classification challenge requires teams to classify...

0 Zhe Wang, et al. ∙

∙ 05/26/2017

Deep Learning for Lung Cancer Detection: Tackling the Kaggle Data Science Bowl 2017 Challenge

We present a deep learning framework for computer-aided lung cancer diag...

0 Kingsley Kuan, et al. ∙

∙ 01/18/2017

Compression of Deep Neural Networks for Image Instance Retrieval

Image instance retrieval is the problem of retrieving images from a data...

0 Vijay Chandrasekhar, et al. ∙

∙ 03/15/2016

Nested Invariance Pooling and RBM Hashing for Image Instance Retrieval

The goal of this work is the computation of very compact binary hashes f...

0 Olivier Morère, et al. ∙

∙ 01/25/2016

Egocentric Activity Recognition with Multimodal Fisher Vector

With the increasing availability of wearable devices, research on egocen...

0 Sibo Song, et al. ∙

∙ 01/09/2016

Group Invariant Deep Representations for Image Instance Retrieval

Most image instance retrieval pipelines are based on comparison of vecto...

0 Olivier Morère, et al. ∙

∙ 11/10/2015

Tiny Descriptors for Image Retrieval with Unsupervised Triplet Hashing

A typical image retrieval pipeline starts with the comparison of global ...

0 Jie Lin, et al. ∙

∙ 01/30/2015

Co-Regularized Deep Representations for Video Summarization

Compact keyframe-based video summaries are a popular way of generating v...

0 Olivier Morère, et al. ∙

∙ 01/20/2015

DeepHash: Getting Regularization, Depth and Fine-Tuning Right

This work focuses on representing very high-dimensional global image des...

0 Jie Lin, et al. ∙

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