Vinay Kumar Verma

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 59

Top Topics

Lifelong Learning

Expectation Maximization

Textual Descriptions

Sketch Based Image Retrieval

Top Venues

Publications

Vinay Kumar Verma, Dween Rabius Sanny, Abhishek Singh, Deepak Gupta
CoD: Coherent Detection of Entities from Images with Multiple Modalities. WACV (2024)
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)
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)
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 (2024)
Soumya Roy, Vinay Kumar Verma, Deepak Gupta
Efficient Expansion and Gradient Based Task Inference for Replay Free Incremental Learning. WACV (2024)
Anurag Roy, Riddhiman Moulick, Vinay Kumar Verma, Saptarshi Ghosh, Abir Das
Convolutional Prompting meets Language Models for Continual Learning. CoRR (2024)
Anurag Roy, Vinay Kumar Verma, Sravan Voonna, Kripabandhu Ghosh, Saptarshi Ghosh, Abir Das
Exemplar-Free Continual Transformer with Convolutions. CoRR (2023)
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 (2023)
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 (2023)
Anurag Roy, Vinay Kumar Verma, Sravan Voonna, Kripabandhu Ghosh, Saptarshi Ghosh, Abir Das
Exemplar-Free Continual Transformer with Convolutions. ICCV (2023)
Vinay Kumar Verma, Nikhil Mehta, Shijing Si, Ricardo Henao, Lawrence Carin
Pushing the Efficiency Limit Using Structured Sparse Convolutions. WACV (2023)
Soumya Roy, Vinay Kumar Verma, Deepak Gupta
Efficient Expansion and Gradient Based Task Inference for Replay Free Incremental Learning. CoRR (2023)
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)
Soumya Banerjee, Vinay Kumar Verma, Vinay P. Namboodiri
Streaming LifeLong Learning With Any-Time Inference. ICRA (2023)
Soumya Banerjee, Vinay Kumar Verma, Vinay P. Namboodiri
Streaming LifeLong Learning With Any-Time Inference. CoRR (2023)
Vinay Kumar Verma, Nikhil Mehta, Shijing Si, Ricardo Henao, Lawrence Carin
Pushing the Efficiency Limit Using Structured Sparse Convolutions. CoRR (2022)
Nikhil Mehta, Kevin J. Liang, Vinay Kumar Verma, Lawrence Carin
Continual Learning using a Bayesian Nonparametric Dictionary of Weight Factors. AISTATS (2021)
Vinay Kumar Verma, Ashish Mishra, Anubha Pandey, Hema A. Murthy, Piyush Rai
Towards Zero-Shot Learning with Fewer Seen Class Examples. WACV (2021)
Sakshi Varshney, Vinay Kumar Verma, Lawrence Carin, Piyush Rai
Efficient Continual Adaptation for Generative Adversarial Networks. CoRR (2021)
Soumya Banerjee, Vinay Kumar Verma, Toufiq Parag, Maneesh Singh, Vinay P. Namboodiri
Class Incremental Online Streaming Learning. CoRR (2021)
Dhanajit Brahma, Vinay Kumar Verma, Piyush Rai
Hypernetworks for Continual Semi-Supervised Learning. CoRR (2021)
Mohammed Asad Karim, Vinay Kumar Verma, Pravendra Singh, Vinay Namboodiri, Piyush Rai
Knowledge Consolidation based Class Incremental Online Learning with Limited Data. CoRR (2021)
Sakshi Varshney, Vinay Kumar Verma, P. K. Srijith, Lawrence Carin, Piyush Rai
CAM-GAN: Continual Adaptation Modules for Generative Adversarial Networks. NeurIPS (2021)
Vinay Kumar Verma, Kevin J. Liang, Nikhil Mehta, Lawrence Carin
Meta-Learned Attribute Self-Gating for Continual Generalized Zero-Shot Learning. CoRR (2021)
Mohammed Asad Karim, Vinay Kumar Verma, Pravendra Singh, Vinay Namboodiri, Piyush Rai
Knowledge Consolidation based Class Incremental Online Learning with Limited Data. IJCAI (2021)
Vinay Kumar Verma, Kevin J. Liang, Nikhil Mehta, Piyush Rai, Lawrence Carin
Efficient Feature Transformations for Discriminative and Generative Continual Learning. CVPR (2021)
Vinay Kumar Verma, Kevin J. Liang, Nikhil Mehta, Piyush Rai, Lawrence Carin
Efficient Feature Transformations for Discriminative and Generative Continual Learning. CoRR (2021)
Anubha Pandey, Ashish Mishra, Vinay Kumar Verma, Anurag Mittal, Hema A. Murthy
Stacked Adversarial Network for Zero-Shot Sketch based Image Retrieval. WACV (2020)
Vinay Kumar Verma, Dhanajit Brahma, Piyush Rai
Meta-Learning for Generalized Zero-Shot Learning. AAAI (2020)
Vinay Kumar Verma, Ashish Mishra, Anubha Pandey, Hema A. Murthy, Piyush Rai
Towards Zero-Shot Learning with Fewer Seen Class Examples. CoRR (2020)
Anubha Pandey, Ashish Mishra, Vinay Kumar Verma, Anurag Mittal, Hema A. Murthy
Stacked Adversarial Network for Zero-Shot Sketch based Image Retrieval. CoRR (2020)
Pravendra Singh, Vinay Kumar Verma, Piyush Rai, Vinay P. Namboodiri
Leveraging Filter Correlations for Deep Model Compression. WACV (2020)
Vinay Kumar Verma, Pravendra Singh, Vinay P. Namboodiri, Piyush Rai
A "Network Pruning Network" Approach to Deep Model Compression. WACV (2020)
Pravendra Singh, Vinay Kumar Verma, Piyush Rai, Vinay P. Namboodiri
HetConv: Beyond Homogeneous Convolution Kernels for Deep CNNs. Int. J. Comput. Vis. 128 (8) (2020)
Vinay Kumar Verma, Pravendra Singh, Vinay P. Namboodiri, Piyush Rai
A "Network Pruning Network" Approach to Deep Model Compression. CoRR (2020)
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)
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 (2020)
Varun Khare, Divyat Mahajan, Homanga Bharadhwaj, Vinay Kumar Verma, Piyush Rai
A Generative Framework for Zero-Shot Learning with Adversarial Domain Adaptation. WACV (2020)
Pravendra Singh, Vinay Kumar Verma, Pratik Mazumder, Lawrence Carin, Piyush Rai
Calibrating CNNs for Lifelong Learning. NeurIPS (2020)
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) (2020)
Pravendra Singh, Vinay Kumar Verma, Piyush Rai, Vinay P. Namboodiri
Play and Prune: Adaptive Filter Pruning for Deep Model Compression. IJCAI (2019)
Vinay Kumar Verma, Aakansha Mishra, Ashish Mishra, Piyush Rai
Generative Model for Zero-Shot Sketch-Based Image Retrieval. CoRR (2019)
Varun Khare, Divyat Mahajan, Homanga Bharadhwaj, Vinay Kumar Verma, Piyush Rai
A Generative Framework for Zero-Shot Learning with Adversarial Domain Adaptation. CoRR (2019)
Pravendra Singh, Vinay Kumar Verma, Piyush Rai, Vinay P. Namboodiri
HetConv: Heterogeneous Kernel-Based Convolutions for Deep CNNs. CVPR (2019)
Anubha Pandey, Ashish Mishra, Vinay Kumar Verma, Anurag Mittal
Adversarial Joint-Distribution Learning for Novel Class Sketch-Based Image Retrieval. ICCV Workshops (2019)
Pravendra Singh, Vinay Kumar Verma, Piyush Rai, Vinay P. Namboodiri
Play and Prune: Adaptive Filter Pruning for Deep Model Compression. CoRR (2019)
Vinay Kumar Verma, Aakansha Mishra, Ashish Mishra, Piyush Rai
Generative Model for Zero-Shot Sketch-Based Image Retrieval. CVPR Workshops (2019)
Pravendra Singh, Vinay Kumar Verma, Piyush Rai, Vinay P. Namboodiri
HetConv: Heterogeneous Kernel-Based Convolutions for Deep CNNs. CoRR (2019)
Vinay Kumar Verma, Dhanajit Brahma, Piyush Rai
A Meta-Learning Framework for Generalized Zero-Shot Learning. CoRR (2019)
Pravendra Singh, Vinay Kumar Verma, Piyush Rai, Vinay P. Namboodiri
Leveraging Filter Correlations for Deep Model Compression. CoRR (2018)
Vinay Kumar Verma, Gundeep Arora, Ashish Mishra, Piyush Rai
Generalized Zero-Shot Learning via Synthesized Examples. CVPR (2018)
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)
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 (2018)
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)
Gundeep Arora, Vinay Kumar Verma, Ashish Mishra, Piyush Rai
Generalized Zero-Shot Learning via Synthesized Examples. CoRR (2017)
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 (2017)
Vinay Kumar Verma, Piyush Rai
A Simple Exponential Family Framework for Zero-Shot Learning. CoRR (2017)
Vinay Kumar Verma, Piyush Rai
A Simple Exponential Family Framework for Zero-Shot Learning. ECML/PKDD (2) (2017)
Abhilash Gaure, Aishwarya Gupta, Vinay Kumar Verma, Piyush Rai
A Probabilistic Framework for Multi-Label Learning with Unseen Labels. UAI (2017)
Prashanth Balasubramanian, Vinay Kumar Verma, Anurag Mittal
A Performance Evaluation of Feature Descriptors for Image Stitching in Architectural Images. ACCV Workshops (2) (2014)
Vinay Kumar Verma, Rajeev Wankar, C. Raghavendra Rao, Arun Agarwal
Hand Gesture Segmentation from Complex Color-Texture Background Image. MIWAI (2013)