Vinay Kumar Verma
Vinay Kumar Verma
Post Doctoral Fellow, Duke University, USA
duke.edu의 이메일 확인됨 - 홈페이지
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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
3082018
A simple exponential family framework for zero-shot learning
VK Verma, P Rai
ECML-17, 792-808, 2017
1662017
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
1282018
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
812018
HetConv: Heterogeneous Kernel-Based Convolutions for Deep CNNs
P Singh, VK Verma, P Rai, VP Namboodiri
CVPR-19, Long Beach, CA, 2019
552019
Leveraging filter correlations for deep model compression
P Singh*, VK Verma*, P Rai, VP Namboodiri
WACV-2020, Colorado, USA, 2020
412020
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
392020
Play and Prune: Adaptive Filter Pruning for Deep Model Compression
P Singh, VK Verma, P Rai, VP Namboodiri
IJCAI-2019, Macao, China, 2019
352019
Calibrating CNNs for Lifelong Learning
P Singh*, VK Verma*, P Mazumder, L Carin, P Rai
NeurIPS-2020, 2020
222020
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
182017
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
162020
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
132020
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
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
102019
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
8*2021
Efficient Feature Transformations for Discriminative and Generative Continual Learning
VK Verma, KJ Liang, N Mehta, P Rai, L Carin
CVPR 2021, 2021
52021
Adversarial joint-distribution learning for novel class sketch-based image retrieval
A Pandey, A Mishra, V Kumar Verma, A Mittal
ICCV-Workshops (2019), Seoul, Korea, 0-0, 2019
52019
Towards Zero-Shot Learning with Fewer Seen Class Examples
VK Verma*, A Mishra*, A Panday, H Murthy A, P Rai
WACV-2021, 2021
32021
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
32020
A "Network Pruning Network" Approach to Deep Model Compression
VK Verma, P Singh, VP Namboodiri, P Rai
WACV-2020, Colorado, USA, 2020
22020
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