Prati
Vinay Kumar Verma
Vinay Kumar Verma
@Amazon, Prev: IIT-Kanpur, Duke University, USA
Potvrđena adresa e-pošte na duke.edu - Početna stranica
Naslov
Citirano
Citirano
Godina
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
3702018
A simple exponential family framework for zero-shot learning
VK Verma, P Rai
ECML-17, 792-808, 2017
1912017
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
1372018
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
1052018
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
69*2020
HetConv: Heterogeneous Kernel-Based Convolutions for Deep CNNs
P Singh, VK Verma, P Rai, VP Namboodiri
CVPR-19, Long Beach, CA, 2019
652019
Leveraging filter correlations for deep model compression
P Singh*, VK Verma*, P Rai, VP Namboodiri
WACV-2020, Colorado, USA, 2020
512020
Play and Prune: Adaptive Filter Pruning for Deep Model Compression
P Singh, VK Verma, P Rai, VP Namboodiri
IJCAI-2019, Macao, China, 2019
462019
Calibrating CNNs for Lifelong Learning
P Singh*, VK Verma*, P Mazumder, L Carin, P Rai
NeurIPS-2020, 2020
322020
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
202020
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
202017
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
15*2021
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
152020
Generative model for zero-shot sketch-based image retrieval
VK Verma, A Mishra, A Mishra, P Rai
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019
13*2019
Efficient Feature Transformations for Discriminative and Generative Continual Learning
VK Verma, KJ Liang, N Mehta, P Rai, L Carin
CVPR 2021, 2021
122021
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
112019
Towards Zero-Shot Learning with Fewer Seen Class Examples
VK Verma*, A Mishra*, A Panday, H Murthy A, P Rai
WACV-2021, 2021
102021
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
92020
CAM-GAN: Continual Adaptation Modules for Generative Adversarial Networks
S Varshney*, VK Verma*, PK Srijith, L Carin, P Rai
NeurIPS-2021, 2021
52021
A "Network Pruning Network" Approach to Deep Model Compression
VK Verma, P Singh, VP Namboodiri, P Rai
WACV-2020, Colorado, USA, 2020
52020
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