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2020 – today
- 2024
[c32]Anurag Roy, Riddhiman Moulick, Vinay Kumar Verma, Saptarshi Ghosh, Abir Das:
Convolutional Prompting meets Language Models for Continual Learning. CVPR 2024: 23616-23626- [c31]Soumya Banerjee, Vinay Kumar Verma, Avideep Mukherjee, Deepak Gupta, Vinay P. Namboodiri, Piyush Rai:
VERSE: Virtual-Gradient Aware Streaming Lifelong Learning with Anytime Inference. ICRA 2024: 493-500 - [c30]Soumya Roy, Vinay Kumar Verma, Deepak Gupta:
Efficient Expansion and Gradient Based Task Inference for Replay Free Incremental Learning. WACV 2024: 1154-1164 - [c29]Vinay Kumar Verma, Nikhil Mehta, Kevin J. Liang, Aakansha Mishra, Lawrence Carin:
Meta-Learned Attribute Self-Interaction Network for Continual and Generalized Zero-Shot Learning. WACV 2024: 2709-2719 - [c28]Vinay Kumar Verma, Dween Rabius Sanny, Abhishek Singh, Deepak Gupta:
CoD: Coherent Detection of Entities from Images with Multiple Modalities. WACV 2024: 8000-8009 - [i28]Anurag Roy, Riddhiman Moulick, Vinay Kumar Verma, Saptarshi Ghosh, Abir Das:
Convolutional Prompting meets Language Models for Continual Learning. CoRR abs/2403.20317 (2024) - [i27]Soham Mitra, Atri Sukul, Swalpa Kumar Roy, Pravendra Singh, Vinay Kumar Verma:
Reliable or Deceptive? Investigating Gated Features for Smooth Visual Explanations in CNNs. CoRR abs/2404.19341 (2024) - 2023
- [c27]Vinay Kumar Verma, Dween Rabius Sanny, Shreyas Sunil Kulkarni, Prateek Sircar, Abhishek Singh, Deepak Gupta:
SkiLL: Skipping Color and Label Landscape: Self Supervised Design Representations for Products in E-commerce. CVPR Workshops 2023: 3503-3507 - [c26]Anurag Roy, Vinay Kumar Verma, Sravan Voonna, Kripabandhu Ghosh, Saptarshi Ghosh, Abir Das:
Exemplar-Free Continual Transformer with Convolutions. ICCV 2023: 5874-5884 - [c25]Soumya Banerjee, Vinay Kumar Verma, Vinay P. Namboodiri:
Streaming LifeLong Learning With Any-Time Inference. ICRA 2023: 9486-9492 - [c24]Vinay Kumar Verma, Nikhil Mehta, Shijing Si, Ricardo Henao, Lawrence Carin:
Pushing the Efficiency Limit Using Structured Sparse Convolutions. WACV 2023: 6492-6502 - [i26]Soumya Banerjee, Vinay Kumar Verma, Vinay P. Namboodiri:
Streaming LifeLong Learning With Any-Time Inference. CoRR abs/2301.11892 (2023) - [i25]Anurag Roy, Vinay Kumar Verma, Sravan Voonna, Kripabandhu Ghosh, Saptarshi Ghosh, Abir Das:
Exemplar-Free Continual Transformer with Convolutions. CoRR abs/2308.11357 (2023) - [i24]Soumya Banerjee, Vinay Kumar Verma, Avideep Mukherjee, Deepak Gupta, Vinay P. Namboodiri, Piyush Rai:
VERSE: Virtual-Gradient Aware Streaming Lifelong Learning with Anytime Inference. CoRR abs/2309.08227 (2023) - [i23]Vinay Kumar Verma, Nikhil Mehta, Kevin J. Liang, Aakansha Mishra, Lawrence Carin:
Meta-Learned Attribute Self-Interaction Network for Continual and Generalized Zero-Shot Learning. CoRR abs/2312.01167 (2023) - [i22]Soumya Roy, Vinay Kumar Verma, Deepak Gupta:
Efficient Expansion and Gradient Based Task Inference for Replay Free Incremental Learning. CoRR abs/2312.01188 (2023) - 2022
- [i21]Vinay Kumar Verma, Nikhil Mehta, Shijing Si, Ricardo Henao, Lawrence Carin:
Pushing the Efficiency Limit Using Structured Sparse Convolutions. CoRR abs/2210.12818 (2022) - 2021
- [c23]Nikhil Mehta, Kevin J. Liang, Vinay Kumar Verma, Lawrence Carin:
Continual Learning using a Bayesian Nonparametric Dictionary of Weight Factors. AISTATS 2021: 100-108 - [c22]Vinay Kumar Verma, Kevin J. Liang, Nikhil Mehta, Piyush Rai, Lawrence Carin:
Efficient Feature Transformations for Discriminative and Generative Continual Learning. CVPR 2021: 13865-13875 - [c21]Mohammed Asad Karim, Vinay Kumar Verma, Pravendra Singh, Vinay P. Namboodiri, Piyush Rai:
Knowledge Consolidation based Class Incremental Online Learning with Limited Data. IJCAI 2021: 2621-2627 - [c20]Sakshi Varshney, Vinay Kumar Verma, P. K. Srijith, Lawrence Carin, Piyush Rai:
CAM-GAN: Continual Adaptation Modules for Generative Adversarial Networks. NeurIPS 2021: 15175-15187 - [c19]Vinay Kumar Verma, Ashish Mishra, Anubha Pandey, Hema A. Murthy, Piyush Rai:
Towards Zero-Shot Learning with Fewer Seen Class Examples. WACV 2021: 2240-2250 - [i20]Vinay Kumar Verma, Kevin J. Liang, Nikhil Mehta, Lawrence Carin:
Meta-Learned Attribute Self-Gating for Continual Generalized Zero-Shot Learning. CoRR abs/2102.11856 (2021) - [i19]Sakshi Varshney, Vinay Kumar Verma, Lawrence Carin, Piyush Rai:
Efficient Continual Adaptation for Generative Adversarial Networks. CoRR abs/2103.04032 (2021) - [i18]Vinay Kumar Verma, Kevin J. Liang, Nikhil Mehta, Piyush Rai, Lawrence Carin:
Efficient Feature Transformations for Discriminative and Generative Continual Learning. CoRR abs/2103.13558 (2021) - [i17]Mohammed Asad Karim, Vinay Kumar Verma, Pravendra Singh, Vinay P. Namboodiri, Piyush Rai:
Knowledge Consolidation based Class Incremental Online Learning with Limited Data. CoRR abs/2106.06795 (2021) - [i16]Dhanajit Brahma, Vinay Kumar Verma, Piyush Rai:
Hypernetworks for Continual Semi-Supervised Learning. CoRR abs/2110.01856 (2021) - [i15]Soumya Banerjee, Vinay Kumar Verma, Toufiq Parag, Maneesh Singh, Vinay P. Namboodiri:
Class Incremental Online Streaming Learning. CoRR abs/2110.10741 (2021) - 2020
- [j2]Pravendra Singh
, Vinay Kumar Verma, Piyush Rai, Vinay P. Namboodiri:
HetConv: Beyond Homogeneous Convolution Kernels for Deep CNNs. Int. J. Comput. Vis. 128(8): 2068-2088 (2020) - [j1]Pravendra Singh, Vinay Kumar Verma, Piyush Rai, Vinay P. Namboodiri:
Acceleration of Deep Convolutional Neural Networks Using Adaptive Filter Pruning. IEEE J. Sel. Top. Signal Process. 14(4): 838-847 (2020) - [c18]Vinay Kumar Verma, Dhanajit Brahma, Piyush Rai:
Meta-Learning for Generalized Zero-Shot Learning. AAAI 2020: 6062-6069 - [c17]Anurag Roy, Vinay Kumar Verma, Kripabandhu Ghosh, Saptarshi Ghosh:
ZSCRGAN: A GAN-based Expectation Maximization Model for Zero-Shot Retrieval of Images from Textual Descriptions. CIKM 2020: 1315-1324 - [c16]Pravendra Singh, Vinay Kumar Verma, Pratik Mazumder, Lawrence Carin, Piyush Rai:
Calibrating CNNs for Lifelong Learning. NeurIPS 2020 - [c15]Pravendra Singh, Vinay Kumar Verma, Piyush Rai, Vinay P. Namboodiri:
Leveraging Filter Correlations for Deep Model Compression. WACV 2020: 824-833 - [c14]Anubha Pandey, Ashish Mishra, Vinay Kumar Verma, Anurag Mittal, Hema A. Murthy:
Stacked Adversarial Network for Zero-Shot Sketch based Image Retrieval. WACV 2020: 2529-2538 - [c13]Vinay Kumar Verma, Pravendra Singh, Vinay P. Namboodiri, Piyush Rai:
A "Network Pruning Network" Approach to Deep Model Compression. WACV 2020: 2998-3007 - [c12]Varun Khare, Divyat Mahajan, Homanga Bharadhwaj, Vinay Kumar Verma, Piyush Rai:
A Generative Framework for Zero-Shot Learning with Adversarial Domain Adaptation. WACV 2020: 3090-3099 - [i14]Vinay Kumar Verma, Pravendra Singh, Vinay P. Namboodiri, Piyush Rai:
A "Network Pruning Network" Approach to Deep Model Compression. CoRR abs/2001.05545 (2020) - [i13]Anubha Pandey, Ashish Mishra, Vinay Kumar Verma, Anurag Mittal, Hema A. Murthy:
Stacked Adversarial Network for Zero-Shot Sketch based Image Retrieval. CoRR abs/2001.06657 (2020) - [i12]Anurag Roy, Vinay Kumar Verma, Kripabandhu Ghosh, Saptarshi Ghosh:
ZSCRGAN: A GAN-based Expectation Maximization Model for Zero-Shot Retrieval of Images from Textual Descriptions. CoRR abs/2007.12212 (2020) - [i11]Vinay Kumar Verma, Ashish Mishra, Anubha Pandey, Hema A. Murthy, Piyush Rai:
Towards Zero-Shot Learning with Fewer Seen Class Examples. CoRR abs/2011.07279 (2020)
2010 – 2019
- 2019
- [c11]Vinay Kumar Verma, Aakansha Mishra, Ashish Mishra, Piyush Rai:
Generative Model for Zero-Shot Sketch-Based Image Retrieval. CVPR Workshops 2019: 704-713 - [c10]Pravendra Singh, Vinay Kumar Verma, Piyush Rai, Vinay P. Namboodiri:
HetConv: Heterogeneous Kernel-Based Convolutions for Deep CNNs. CVPR 2019: 4835-4844 - [c9]Anubha Pandey, Ashish Mishra, Vinay Kumar Verma, Anurag Mittal:
Adversarial Joint-Distribution Learning for Novel Class Sketch-Based Image Retrieval. ICCV Workshops 2019: 1391-1400 - [c8]Pravendra Singh, Vinay Kumar Verma, Piyush Rai, Vinay P. Namboodiri:
Play and Prune: Adaptive Filter Pruning for Deep Model Compression. IJCAI 2019: 3460-3466 - [i10]Pravendra Singh, Vinay Kumar Verma, Piyush Rai, Vinay P. Namboodiri:
HetConv: Heterogeneous Kernel-Based Convolutions for Deep CNNs. CoRR abs/1903.04120 (2019) - [i9]Vinay Kumar Verma, Aakansha Mishra, Ashish Mishra, Piyush Rai:
Generative Model for Zero-Shot Sketch-Based Image Retrieval. CoRR abs/1904.08542 (2019) - [i8]Pravendra Singh, Vinay Kumar Verma, Piyush Rai, Vinay P. Namboodiri:
Play and Prune: Adaptive Filter Pruning for Deep Model Compression. CoRR abs/1905.04446 (2019) - [i7]Varun Khare, Divyat Mahajan, Homanga Bharadhwaj, Vinay Kumar Verma, Piyush Rai:
A Generative Framework for Zero-Shot Learning with Adversarial Domain Adaptation. CoRR abs/1906.03038 (2019) - [i6]Vinay Kumar Verma, Dhanajit Brahma, Piyush Rai:
A Meta-Learning Framework for Generalized Zero-Shot Learning. CoRR abs/1909.04344 (2019) - 2018
- [c7]Wenlin Wang, Yunchen Pu, Vinay Kumar Verma, Kai Fan, Yizhe Zhang, Changyou Chen, Piyush Rai, Lawrence Carin:
Zero-Shot Learning via Class-Conditioned Deep Generative Models. AAAI 2018: 4211-4218 - [c6]Vinay Kumar Verma, Gundeep Arora, Ashish Mishra, Piyush Rai:
Generalized Zero-Shot Learning via Synthesized Examples. CVPR 2018: 4281-4289 - [c5]Ashish Mishra, Vinay Kumar Verma, M. Shiva Krishna Reddy, Arulkumar Subramaniam, Piyush Rai, Anurag Mittal:
A Generative Approach to Zero-Shot and Few-Shot Action Recognition. WACV 2018: 372-380 - [i5]Ashish Mishra, Vinay Kumar Verma, M. Shiva Krishna Reddy, Arulkumar Subramaniam, Piyush Rai, Anurag Mittal:
A Generative Approach to Zero-Shot and Few-Shot Action Recognition. CoRR abs/1801.09086 (2018) - [i4]Pravendra Singh, Vinay Kumar Verma, Piyush Rai, Vinay P. Namboodiri:
Leveraging Filter Correlations for Deep Model Compression. CoRR abs/1811.10559 (2018) - 2017
- [c4]Vinay Kumar Verma, Piyush Rai:
A Simple Exponential Family Framework for Zero-Shot Learning. ECML/PKDD (2) 2017: 792-808 - [c3]Abhilash Gaure, Aishwarya Gupta, Vinay Kumar Verma, Piyush Rai:
A Probabilistic Framework for Multi-Label Learning with Unseen Labels. UAI 2017 - [i3]Vinay Kumar Verma, Piyush Rai:
A Simple Exponential Family Framework for Zero-Shot Learning. CoRR abs/1707.08040 (2017) - [i2]Wenlin Wang, Yunchen Pu, Vinay Kumar Verma, Kai Fan, Yizhe Zhang, Changyou Chen, Piyush Rai, Lawrence Carin:
Zero-Shot Learning via Class-Conditioned Deep Generative Models. CoRR abs/1711.05820 (2017) - [i1]Gundeep Arora, Vinay Kumar Verma, Ashish Mishra, Piyush Rai:
Generalized Zero-Shot Learning via Synthesized Examples. CoRR abs/1712.03878 (2017) - 2014
- [c2]Prashanth Balasubramanian, Vinay Kumar Verma, Anurag Mittal:
A Performance Evaluation of Feature Descriptors for Image Stitching in Architectural Images. ACCV Workshops (2) 2014: 517-528 - 2013
- [c1]Vinay Kumar Verma, Rajeev Wankar, C. Raghavendra Rao, Arun Agarwal:
Hand Gesture Segmentation from Complex Color-Texture Background Image. MIWAI 2013: 281-292
Coauthor Index
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