Vinay Kumar Verma

According to our database, Vinay Kumar Verma authored at least 40 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Reliable or Deceptive? Investigating Gated Features for Smooth Visual Explanations in CNNs.

Soham Mitra, Atri Sukul, Swalpa Kumar Roy, Pravendra Singh, Vinay Kumar Verma

CoRR, 2024

CoD: Coherent Detection of Entities from Images with Multiple Modalities.

Vinay Kumar Verma, Dween Rabius Sanny, Abhishek Singh, Deepak Gupta

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Meta-Learned Attribute Self-Interaction Network for Continual and Generalized Zero-Shot Learning.

Vinay Kumar Verma, Nikhil Mehta, Kevin J. Liang, Aakansha Mishra, Lawrence Carin

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Efficient Expansion and Gradient Based Task Inference for Replay Free Incremental Learning.

Soumya Roy, Vinay Kumar Verma, Deepak Gupta

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

VERSE: Virtual-Gradient Aware Streaming Lifelong Learning with Anytime Inference.

Soumya Banerjee, Vinay Kumar Verma, Avideep Mukherjee, Deepak Gupta, Vinay P. Namboodiri, Piyush Rai

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Convolutional Prompting meets Language Models for Continual Learning.

Anurag Roy, Riddhiman Moulick, Vinay Kumar Verma, Saptarshi Ghosh, Abir Das

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Pushing the Efficiency Limit Using Structured Sparse Convolutions.

Vinay Kumar Verma, Nikhil Mehta, Shijing Si, Ricardo Henao, Lawrence Carin

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Streaming LifeLong Learning With Any-Time Inference.

Soumya Banerjee, Vinay Kumar Verma, Vinay P. Namboodiri

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Exemplar-Free Continual Transformer with Convolutions.

Anurag Roy, Vinay Kumar Verma, Sravan Voonna, Kripabandhu Ghosh, Saptarshi Ghosh, Abir Das

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

SkiLL: Skipping Color and Label Landscape: Self Supervised Design Representations for Products in E-commerce.

Vinay Kumar Verma, Dween Rabius Sanny, Shreyas Sunil Kulkarni, Prateek Sircar, Abhishek Singh, Deepak Gupta

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2021

Class Incremental Online Streaming Learning.

Soumya Banerjee, Vinay Kumar Verma, Toufiq Parag, Maneesh Singh, Vinay P. Namboodiri

CoRR, 2021

Hypernetworks for Continual Semi-Supervised Learning.

Dhanajit Brahma, Vinay Kumar Verma, Piyush Rai

CoRR, 2021

Efficient Continual Adaptation for Generative Adversarial Networks.

Sakshi Varshney, Vinay Kumar Verma, Lawrence Carin, Piyush Rai

CoRR, 2021

Meta-Learned Attribute Self-Gating for Continual Generalized Zero-Shot Learning.

Vinay Kumar Verma, Kevin J. Liang, Nikhil Mehta, Lawrence Carin

CoRR, 2021

Towards Zero-Shot Learning with Fewer Seen Class Examples.

Vinay Kumar Verma, Ashish Mishra, Anubha Pandey, Hema A. Murthy, Piyush Rai

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

CAM-GAN: Continual Adaptation Modules for Generative Adversarial Networks.

Sakshi Varshney, Vinay Kumar Verma, P. K. Srijith, Lawrence Carin, Piyush Rai

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Knowledge Consolidation based Class Incremental Online Learning with Limited Data.

Mohammed Asad Karim, Vinay Kumar Verma, Pravendra Singh, Vinay P. Namboodiri, Piyush Rai

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Efficient Feature Transformations for Discriminative and Generative Continual Learning.

Vinay Kumar Verma, Kevin J. Liang, Nikhil Mehta, Piyush Rai, Lawrence Carin

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Continual Learning using a Bayesian Nonparametric Dictionary of Weight Factors.

Nikhil Mehta, Kevin J. Liang, Vinay Kumar Verma, Lawrence Carin

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020

Acceleration of Deep Convolutional Neural Networks Using Adaptive Filter Pruning.

Pravendra Singh, Vinay Kumar Verma, Piyush Rai, Vinay P. Namboodiri

IEEE J. Sel. Top. Signal Process., 2020

HetConv: Beyond Homogeneous Convolution Kernels for Deep CNNs.

Pravendra Singh, Vinay Kumar Verma, Piyush Rai, Vinay P. Namboodiri

Int. J. Comput. Vis., 2020

A "Network Pruning Network" Approach to Deep Model Compression.

Vinay Kumar Verma, Pravendra Singh, Vinay P. Namboodiri, Piyush Rai

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

Leveraging Filter Correlations for Deep Model Compression.

Pravendra Singh, Vinay Kumar Verma, Piyush Rai, Vinay P. Namboodiri

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

Stacked Adversarial Network for Zero-Shot Sketch based Image Retrieval.

Anubha Pandey, Ashish Mishra, Vinay Kumar Verma, Anurag Mittal, Hema A. Murthy

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

A Generative Framework for Zero-Shot Learning with Adversarial Domain Adaptation.

Varun Khare, Divyat Mahajan, Homanga Bharadhwaj, Vinay Kumar Verma, Piyush Rai

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

Calibrating CNNs for Lifelong Learning.

Pravendra Singh, Vinay Kumar Verma, Pratik Mazumder, Lawrence Carin, Piyush Rai

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

ZSCRGAN: A GAN-based Expectation Maximization Model for Zero-Shot Retrieval of Images from Textual Descriptions.

Anurag Roy, Vinay Kumar Verma, Kripabandhu Ghosh, Saptarshi Ghosh

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

Meta-Learning for Generalized Zero-Shot Learning.

Vinay Kumar Verma, Dhanajit Brahma, Piyush Rai

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

A Meta-Learning Framework for Generalized Zero-Shot Learning.

Vinay Kumar Verma, Dhanajit Brahma, Piyush Rai

CoRR, 2019

Play and Prune: Adaptive Filter Pruning for Deep Model Compression.

Pravendra Singh, Vinay Kumar Verma, Piyush Rai, Vinay P. Namboodiri

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Adversarial Joint-Distribution Learning for Novel Class Sketch-Based Image Retrieval.

Anubha Pandey, Ashish Mishra, Vinay Kumar Verma, Anurag Mittal

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

Generative Model for Zero-Shot Sketch-Based Image Retrieval.

Vinay Kumar Verma, Aakansha Mishra, Ashish Mishra, Piyush Rai

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

HetConv: Heterogeneous Kernel-Based Convolutions for Deep CNNs.

Pravendra Singh, Vinay Kumar Verma, Piyush Rai, Vinay P. Namboodiri

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

A Generative Approach to Zero-Shot and Few-Shot Action Recognition.

Ashish Mishra, Vinay Kumar Verma, M. Shiva Krishna Reddy, Arulkumar Subramaniam, Piyush Rai, Anurag Mittal

Proceedings of the 2018 IEEE Winter Conference on Applications of Computer Vision, 2018

Generalized Zero-Shot Learning via Synthesized Examples.

Vinay Kumar Verma, Gundeep Arora, Ashish Mishra, Piyush Rai

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Zero-Shot Learning via Class-Conditioned Deep Generative Models.

Wenlin Wang, Yunchen Pu, Vinay Kumar Verma, Kai Fan, Yizhe Zhang, Changyou Chen, Piyush Rai, Lawrence Carin

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

A Probabilistic Framework for Multi-Label Learning with Unseen Labels.

Abhilash Gaure, Aishwarya Gupta, Vinay Kumar Verma, Piyush Rai

Proceedings of the Thirty-Third Conference on Uncertainty in Artificial Intelligence, 2017

A Simple Exponential Family Framework for Zero-Shot Learning.

Vinay Kumar Verma, Piyush Rai

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017

2014

A Performance Evaluation of Feature Descriptors for Image Stitching in Architectural Images.

Prashanth Balasubramanian, Vinay Kumar Verma, Anurag Mittal

Proceedings of the Computer Vision - ACCV 2014 Workshops, 2014

2013

Hand Gesture Segmentation from Complex Color-Texture Background Image.

Vinay Kumar Verma, Rajeev Wankar, C. Raghavendra Rao, Arun Agarwal

Proceedings of the Multi-disciplinary Trends in Artificial Intelligence, 2013