Verma, Vinay Kumar

20 publications

CVPRW 2025 ScoreCAM++: Gated Score-Weighted Visual Explanations for CNNs Soham Mitra, Atri Sukul, Swalpa Kumar Roy, Pravendra Singh, Vinay Kumar Verma

WACV 2023 Pushing the Efficiency Limit Using Structured Sparse Convolutions Vinay Kumar Verma, Nikhil Mehta, Shijing Si, Ricardo Henao, Lawrence Carin

CVPRW 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

NeurIPS 2021 CAM-GAN: Continual Adaptation Modules for Generative Adversarial Networks Sakshi Varshney, Vinay Kumar Verma, P. K. Srijith, Lawrence Carin, Piyush Rai

CVPR 2021 Efficient Feature Transformations for Discriminative and Generative Continual Learning Vinay Kumar Verma, Kevin J Liang, Nikhil Mehta, Piyush Rai, Lawrence Carin

IJCAI 2021 Knowledge Consolidation Based Class Incremental Online Learning with Limited Data Mohammed Asad Karim, Vinay Kumar Verma, Pravendra Singh, Vinay P. Namboodiri, Piyush Rai

WACV 2021 Towards Zero-Shot Learning with Fewer Seen Class Examples Vinay Kumar Verma, Ashish Mishra, Anubha Pandey, Hema A. Murthy, Piyush Rai

WACV 2020 A "Network Pruning Network'' Approach to Deep Model Compression Vinay Kumar Verma, Pravendra Singh, Vinay Namboodri, Piyush Rai

WACV 2020 A Generative Framework for Zero Shot Learning with Adversarial Domain Adaptation Varun Khare, Divyat Mahajan, Homanga Bharadhwaj, Vinay Kumar Verma, Piyush Rai

NeurIPS 2020 Calibrating CNNs for Lifelong Learning Pravendra Singh, Vinay Kumar Verma, Pratik Mazumder, Lawrence Carin, Piyush Rai

WACV 2020 Leveraging Filter Correlations for Deep Model Compression Pravendra Singh, Vinay Kumar Verma, Piyush Rai, Vinay Namboodiri

AAAI 2020 Meta-Learning for Generalized Zero-Shot Learning Vinay Kumar Verma, Dhanajit Brahma, Piyush Rai

WACV 2020 Stacked Adversarial Network for Zero-Shot Sketch Based Image Retrieval Anubha Pandey, Ashish Mishra, Vinay Kumar Verma, Anurag Mittal, Hema Murthy

ICCVW 2019 Adversarial Joint-Distribution Learning for Novel Class Sketch-Based Image Retrieval Anubha Pandey, Ashish Mishra, Vinay Kumar Verma, Anurag Mittal

CVPRW 2019 Generative Model for Zero-Shot Sketch-Based Image Retrieval Vinay Kumar Verma, Aakansha Mishra, Ashish Mishra, Piyush Rai

IJCAI 2019 Play and Prune: Adaptive Filter Pruning for Deep Model Compression Pravendra Singh, Vinay Kumar Verma, Piyush Rai, Vinay P. Namboodiri

WACV 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

AAAI 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

UAI 2017 A Probabilistic Framework for Multi-Label Learning with Unseen Labels Abhilash Gaure, Aishwarya Gupta, Vinay Kumar Verma, Piyush Rai

ECML-PKDD 2017 A Simple Exponential Family Framework for Zero-Shot Learning Vinay Kumar Verma, Piyush Rai