Vinay Kumar Verma

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Piyush RaiIIT KanpurVerified email at cse.iitk.ac.in
Lawrence CarinDuke UniversityVerified email at duke.edu
Vinay P. NamboodiriDepartment of Computer Science, University of BathVerified email at bath.ac.uk
Ashish MishraIIT MadrasVerified email at cse.iitm.ac.in
Pravendra SinghAssistant Professor, IIT RoorkeeVerified email at cs.iitr.ac.in
Nikhil MehtaGoogle DeepMindVerified email at duke.edu
Anurag MittalProfessor of Computer Science and Engg., IIT Madras, INDIAVerified email at cse.iitm.ac.in
Kevin J LiangFundamental AI Research (FAIR) at MetaVerified email at meta.com
Dhanajit BrahmaPhD Student, Dept. of CSE, Indian Institute of Technology KanpurVerified email at iitk.ac.in
Wenlin WangFacebook IncVerified email at fb.com
Hema A MurthyProfessor of Computer Science and Engineering, IIT MadrasVerified email at cse.iitm.ac.in
Saptarshi GhoshDepartment of CSE, Indian Institute of Technology Kharagpur, IndiaVerified email at cse.iitkgp.ac.in
Soumya BanerjeePhD Student, IIT KanpurVerified email at cse.iitk.ac.in
Abir DasAssistant Professor at IIT KharagpurVerified email at cse.iitkgp.ac.in
Kripabandhu GhoshAssistant Professor, IISER Kolkata, IndiaVerified email at iiserkol.ac.in
Srijith P.K.Associate Professor, Computer Science and Engineering, Indian Institute of Technology, HyderabadVerified email at iith.ac.in
Sakshi VarshneyAalto UniversityVerified email at aalto.fi
Homanga BharadhwajCarnegie Mellon UniversityVerified email at cs.cmu.edu
Abhishek SinghPM at AmazonVerified email at iima.ac.in
Riddhiman MoulickEE-CS @IIT KharagpurVerified email at kgpian.iitkgp.ac.in

Vinay Kumar Verma

@Amazon, Prev: IIT-Kanpur, Duke University NC, HCU

Verified email at duke.edu - Homepage

Deep Learning Computer Vision Zero-Shot Learning Continual Learning Model Compression


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Generalized zero-shot learning via synthesized examples VK Verma, G Arora, A Mishra, P Rai Proceedings of the IEEE conference on computer vision and pattern …, 2018	553	2018
A simple exponential family framework for zero-shot learning VK Verma, P Rai ECML-17, 792-808, 2017	242	2017
Zero-shot learning via class-conditioned deep generative models W Wang, Y Pu, VK Verma, K Fan, Y Zhang, C Chen, P Rai, L Carin AAAI-18, 2018	181	2018
A Generative Approach to Zero-Shot and Few-Shot Action Recognition A Mishra, VK Verma, M Reddy, P Rai, A Mittal WACV-18, pp. 372-380., 2018	169	2018
HetConv: Heterogeneous Kernel-Based Convolutions for Deep CNNs P Singh, VK Verma, P Rai, VP Namboodiri CVPR-19, Long Beach, CA, 2019	131	2019
Meta-learning for generalized zero-shot learning VK Verma, D Brahma, P Rai Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 6062-6069, 2020	125	2020
Leveraging filter correlations for deep model compression P Singh, VK Verma, P Rai, VP Namboodiri WACV-2020, Colorado, USA, 2020	97	2020
Calibrating CNNs for Lifelong Learning P Singh, VK Verma, P Mazumder, L Carin, P Rai NeurIPS-2020, 2020	87	2020
Efficient Feature Transformations for Discriminative and Generative Continual Learning VK Verma, KJ Liang, N Mehta, P Rai, L Carin CVPR 2021, 2021	84	2021
Play and Prune: Adaptive Filter Pruning for Deep Model Compression P Singh, VK Verma, P Rai, VP Namboodiri IJCAI-2019, Macao, China, 2019	76	2019
Continual Learning using a Bayesian Nonparametric Dictionary of Weight Factors N Mehta, KJ Liang, VK Verma, L Carin Artificial Intelligence and Statistics, San Diego, CA, USA, 2021	42*	2021
Stacked Adversarial Network for Zero-Shot Sketch based Image Retrieval A Pandey, A Mishra, VK Verma, A Mittal, HA Murthy WACV-2020, Colorado, USA, 2020	39	2020
CAM-GAN: Continual Adaptation Modules for Generative Adversarial Networks S Varshney, VK Verma, PK Srijith, L Carin, P Rai NeurIPS-2021, 2021	28	2021
Generative model for zero-shot sketch-based image retrieval V Kumar Verma, A Mishra, A Mishra, P Rai Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019	26	2019
A Generative Framework for Zero-Shot Learning with Adversarial Domain Adaptation V Khare, D Mahajan, H Bharadhwaj, VK Verma, P Rai WACV-2020, Colorado, USA, 2020	25	2020
Acceleration of Deep Convolutional Neural Networks using Adaptive Filter Pruning P Singh, VK Verma, P Rai, VP Namboodiri IEEE Journal of Selected Topics in Signal Processing, 2020	24	2020
A probabilistic framework for zero-shot multi-label learning A Gaure, A Gupta, VK Verma, P Rai The Conference on Uncertainty in Artificial Intelligence (UAI) 1, 3, 2017	23	2017
HetConv: Beyond Homogeneous Convolution Kernels for Deep CNNs P Singh, VK Verma, P Rai, VP Namboodiri International Journal of Computer Vision (IJCV), pp 1-21, 2019	21	2019
Towards Zero-Shot Learning with Fewer Seen Class Examples VK Verma, A Mishra, A Panday, H Murthy A, P Rai WACV-2021, 2021	20	2021
Hypernetworks for Continual Semi-Supervised Learning D Brahma, VK Verma, P Rai CSSL-IJCAI-2021, 2021	17	2021

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