Vinay Kumar Verma

74 papers A* 13A 13Journal 38Unranked 10

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Efficient Text-Guided Convolutional Adapter for the Diffusion Model. CoRR Aryan Das, Koushik Biswas, Swalpa Kumar Roy, Badri Narayana Patro, Vinay Kumar Verma
2026	—	`conf`	Towards Falsifiable Grammars of Human-Robot Interaction. HRI Companion Vinay Kumar Verma
2026	J	`jnl`	Uncertainty-Aware Vision-Language Segmentation for Medical Imaging. CoRR Aryan Das, Tanishq Rachamalla, Koushik Biswas, Swalpa Kumar Roy, Vinay Kumar Verma
2025	J	`jnl`	ADROIT: A Self-Supervised Framework for Learning Robust Representations for Active Learning. CoRR Soumya Banerjee, Vinay Kumar Verma
2025	J	`jnl`	Hyperspectral Image Land Cover Captioning Dataset for Vision Language Models. CoRR Aryan Das, Tanishq Rachamalla, Pravendra Singh, Koushik Biswas, Vinay Kumar Verma, Swalpa Kumar Roy
2025	—	`conf`	MoEMoE: Question Guided Dense and Scalable Sparse Mixture-of-Expert for Multi-source Multi-modal Answering. NAACL (Industry Track) Vinay Kumar Verma, Shreyas Sunil Kulkarni, Happy Mittal, Deepak Gupta
2025	J	`jnl`	MoEMoE: Question Guided Dense and Scalable Sparse Mixture-of-Expert for Multi-source Multi-modal Answering. CoRR Vinay Kumar Verma, Shreyas Sunil Kulkarni, Happy Mittal, Deepak Gupta
2025	J	`jnl`	NOVO: Unlearning-Compliant Vision Transformers. CoRR Soumya Roy, Soumya Banerjee, Vinay Kumar Verma, Soumik Dasgupta, Deepak Gupta, Piyush Rai
2025	—	`conf`	ScoreCAM++: Gated Score-Weighted Visual Explanations for CNNs. CVPR Workshops Soham Mitra, Atri Sukul, Swalpa Kumar Roy, Pravendra Singh, Vinay Kumar Verma
2025	J	`jnl`	TTSnap: Test-Time Scaling of Diffusion Models via Noise-Aware Pruning. CoRR Qingtao Yu, Changlin Song, Minghao Sun, Zhengyang Yu, Vinay Kumar Verma, Soumya Roy, Sumit Negi, Hongdong Li, Dylan Campbell
2025	J	`jnl`	TaTToo: Tool-Grounded Thinking PRM for Test-Time Scaling in Tabular Reasoning. CoRR Jiaru Zou, Soumya Roy, Vinay Kumar Verma, Ziyi Wang, David Wipf, Pan Lu, Sumit Negi, James Zou, Jingrui He
2025	—	`conf`	VADE: Visual Attention Guided Hallucination Detection and Elimination. ACL (Findings) Vishnu Prabhakaran, Purav Aggarwal, Vinay Kumar Verma, Gokul Swamy, Anoop Saladi
2024	A	`conf`	CoD: Coherent Detection of Entities from Images with Multiple Modalities. WACV Vinay Kumar Verma, Dween Rabius Sanny, Abhishek Singh, Deepak Gupta
2024	A*	`conf`	Convolutional Prompting meets Language Models for Continual Learning. CVPR Anurag Roy, Riddhiman Moulick, Vinay Kumar Verma, Saptarshi Ghosh, Abir Das
2024	J	`jnl`	Convolutional Prompting meets Language Models for Continual Learning. CoRR Anurag Roy, Riddhiman Moulick, Vinay Kumar Verma, Saptarshi Ghosh, Abir Das
2024	A	`conf`	Efficient Expansion and Gradient Based Task Inference for Replay Free Incremental Learning. WACV Soumya Roy, Vinay Kumar Verma, Deepak Gupta
2024	A	`conf`	Meta-Learned Attribute Self-Interaction Network for Continual and Generalized Zero-Shot Learning. WACV Vinay Kumar Verma, Nikhil Mehta, Kevin J. Liang, Aakansha Mishra, Lawrence Carin
2024	J	`jnl`	Reliable or Deceptive? Investigating Gated Features for Smooth Visual Explanations in CNNs. CoRR Soham Mitra, Atri Sukul, Swalpa Kumar Roy, Pravendra Singh, Vinay Kumar Verma
2024	A*	`conf`	VERSE: Virtual-Gradient Aware Streaming Lifelong Learning with Anytime Inference. ICRA Soumya Banerjee, Vinay Kumar Verma, Avideep Mukherjee, Deepak Gupta, Vinay P. Namboodiri, Piyush Rai
2023	J	`jnl`	Efficient Expansion and Gradient Based Task Inference for Replay Free Incremental Learning. CoRR Soumya Roy, Vinay Kumar Verma, Deepak Gupta
2023	A*	`conf`	Exemplar-Free Continual Transformer with Convolutions. ICCV Anurag Roy, Vinay Kumar Verma, Sravan Voonna, Kripabandhu Ghosh, Saptarshi Ghosh, Abir Das
2023	J	`jnl`	Exemplar-Free Continual Transformer with Convolutions. CoRR Anurag Roy, Vinay Kumar Verma, Sravan Voonna, Kripabandhu Ghosh, Saptarshi Ghosh, Abir Das
2023	J	`jnl`	Meta-Learned Attribute Self-Interaction Network for Continual and Generalized Zero-Shot Learning. CoRR Vinay Kumar Verma, Nikhil Mehta, Kevin J. Liang, Aakansha Mishra, Lawrence Carin
2023	A	`conf`	Pushing the Efficiency Limit Using Structured Sparse Convolutions. WACV Vinay Kumar Verma, Nikhil Mehta, Shijing Si, Ricardo Henao, Lawrence Carin
2023	—	`conf`	SkiLL: Skipping Color and Label Landscape: Self Supervised Design Representations for Products in E-commerce. CVPR Workshops Vinay Kumar Verma, Dween Rabius Sanny, Shreyas Sunil Kulkarni, Prateek Sircar, Abhishek Singh, Deepak Gupta
2023	A*	`conf`	Streaming LifeLong Learning With Any-Time Inference. ICRA Soumya Banerjee, Vinay Kumar Verma, Vinay P. Namboodiri
2023	J	`jnl`	Streaming LifeLong Learning With Any-Time Inference. CoRR Soumya Banerjee, Vinay Kumar Verma, Vinay P. Namboodiri
2023	J	`jnl`	VERSE: Virtual-Gradient Aware Streaming Lifelong Learning with Anytime Inference. CoRR Soumya Banerjee, Vinay Kumar Verma, Avideep Mukherjee, Deepak Gupta, Vinay P. Namboodiri, Piyush Rai
2022	J	`jnl`	Pushing the Efficiency Limit Using Structured Sparse Convolutions. CoRR Vinay Kumar Verma, Nikhil Mehta, Shijing Si, Ricardo Henao, Lawrence Carin
2021	A*	`conf`	CAM-GAN: Continual Adaptation Modules for Generative Adversarial Networks. NeurIPS Sakshi Varshney, Vinay Kumar Verma, P. K. Srijith, Lawrence Carin, Piyush Rai
2021	J	`jnl`	Class Incremental Online Streaming Learning. CoRR Soumya Banerjee, Vinay Kumar Verma, Toufiq Parag, Maneesh Singh, Vinay P. Namboodiri
2021	A	`conf`	Continual Learning using a Bayesian Nonparametric Dictionary of Weight Factors. AISTATS Nikhil Mehta, Kevin J. Liang, Vinay Kumar Verma, Lawrence Carin
2021	J	`jnl`	Efficient Continual Adaptation for Generative Adversarial Networks. CoRR Sakshi Varshney, Vinay Kumar Verma, Lawrence Carin, Piyush Rai
2021	A*	`conf`	Efficient Feature Transformations for Discriminative and Generative Continual Learning. CVPR Vinay Kumar Verma, Kevin J. Liang, Nikhil Mehta, Piyush Rai, Lawrence Carin
2021	J	`jnl`	Efficient Feature Transformations for Discriminative and Generative Continual Learning. CoRR Vinay Kumar Verma, Kevin J. Liang, Nikhil Mehta, Piyush Rai, Lawrence Carin
2021	J	`jnl`	Hypernetworks for Continual Semi-Supervised Learning. CoRR Dhanajit Brahma, Vinay Kumar Verma, Piyush Rai
2021	A*	`conf`	Knowledge Consolidation based Class Incremental Online Learning with Limited Data. IJCAI Mohammed Asad Karim, Vinay Kumar Verma, Pravendra Singh, Vinay P. Namboodiri, Piyush Rai
2021	J	`jnl`	Knowledge Consolidation based Class Incremental Online Learning with Limited Data. CoRR Mohammed Asad Karim, Vinay Kumar Verma, Pravendra Singh, Vinay P. Namboodiri, Piyush Rai
2021	J	`jnl`	Meta-Learned Attribute Self-Gating for Continual Generalized Zero-Shot Learning. CoRR Vinay Kumar Verma, Kevin J. Liang, Nikhil Mehta, Lawrence Carin
2021	A	`conf`	Towards Zero-Shot Learning with Fewer Seen Class Examples. WACV Vinay Kumar Verma, Ashish Mishra, Anubha Pandey, Hema A. Murthy, Piyush Rai
2020	A	`conf`	A "Network Pruning Network" Approach to Deep Model Compression. WACV Vinay Kumar Verma, Pravendra Singh, Vinay P. Namboodiri, Piyush Rai
2020	J	`jnl`	A "Network Pruning Network" Approach to Deep Model Compression. CoRR Vinay Kumar Verma, Pravendra Singh, Vinay P. Namboodiri, Piyush Rai
2020	A	`conf`	A Generative Framework for Zero-Shot Learning with Adversarial Domain Adaptation. WACV Varun Khare, Divyat Mahajan, Homanga Bharadhwaj, Vinay Kumar Verma, Piyush Rai
2020	J	`jnl`	Acceleration of Deep Convolutional Neural Networks Using Adaptive Filter Pruning. IEEE J. Sel. Top. Signal Process. Pravendra Singh, Vinay Kumar Verma, Piyush Rai, Vinay P. Namboodiri
2020	A*	`conf`	Calibrating CNNs for Lifelong Learning. NeurIPS Pravendra Singh, Vinay Kumar Verma, Pratik Mazumder, Lawrence Carin, Piyush Rai
2020	J	`jnl`	HetConv: Beyond Homogeneous Convolution Kernels for Deep CNNs. Int. J. Comput. Vis. Pravendra Singh, Vinay Kumar Verma, Piyush Rai, Vinay P. Namboodiri
2020	A	`conf`	Leveraging Filter Correlations for Deep Model Compression. WACV Pravendra Singh, Vinay Kumar Verma, Piyush Rai, Vinay P. Namboodiri
2020	A*	`conf`	Meta-Learning for Generalized Zero-Shot Learning. AAAI Vinay Kumar Verma, Dhanajit Brahma, Piyush Rai
2020	A	`conf`	Stacked Adversarial Network for Zero-Shot Sketch based Image Retrieval. WACV Anubha Pandey, Ashish Mishra, Vinay Kumar Verma, Anurag Mittal, Hema A. Murthy
2020	J	`jnl`	Stacked Adversarial Network for Zero-Shot Sketch based Image Retrieval. CoRR Anubha Pandey, Ashish Mishra, Vinay Kumar Verma, Anurag Mittal, Hema A. Murthy
2020	J	`jnl`	Towards Zero-Shot Learning with Fewer Seen Class Examples. CoRR Vinay Kumar Verma, Ashish Mishra, Anubha Pandey, Hema A. Murthy, Piyush Rai
2020	A	`conf`	ZSCRGAN: A GAN-based Expectation Maximization Model for Zero-Shot Retrieval of Images from Textual Descriptions. CIKM Anurag Roy, Vinay Kumar Verma, Kripabandhu Ghosh, Saptarshi Ghosh
2020	J	`jnl`	ZSCRGAN: A GAN-based Expectation Maximization Model for Zero-Shot Retrieval of Images from Textual Descriptions. CoRR Anurag Roy, Vinay Kumar Verma, Kripabandhu Ghosh, Saptarshi Ghosh
2019	J	`jnl`	A Generative Framework for Zero-Shot Learning with Adversarial Domain Adaptation. CoRR Varun Khare, Divyat Mahajan, Homanga Bharadhwaj, Vinay Kumar Verma, Piyush Rai
2019	J	`jnl`	A Meta-Learning Framework for Generalized Zero-Shot Learning. CoRR Vinay Kumar Verma, Dhanajit Brahma, Piyush Rai
2019	—	`conf`	Adversarial Joint-Distribution Learning for Novel Class Sketch-Based Image Retrieval. ICCV Workshops Anubha Pandey, Ashish Mishra, Vinay Kumar Verma, Anurag Mittal
2019	—	`conf`	Generative Model for Zero-Shot Sketch-Based Image Retrieval. CVPR Workshops Vinay Kumar Verma, Aakansha Mishra, Ashish Mishra, Piyush Rai
2019	J	`jnl`	Generative Model for Zero-Shot Sketch-Based Image Retrieval. CoRR Vinay Kumar Verma, Aakansha Mishra, Ashish Mishra, Piyush Rai
2019	A*	`conf`	HetConv: Heterogeneous Kernel-Based Convolutions for Deep CNNs. CVPR Pravendra Singh, Vinay Kumar Verma, Piyush Rai, Vinay P. Namboodiri
2019	J	`jnl`	HetConv: Heterogeneous Kernel-Based Convolutions for Deep CNNs. CoRR Pravendra Singh, Vinay Kumar Verma, Piyush Rai, Vinay P. Namboodiri
2019	A*	`conf`	Play and Prune: Adaptive Filter Pruning for Deep Model Compression. IJCAI Pravendra Singh, Vinay Kumar Verma, Piyush Rai, Vinay P. Namboodiri
2019	J	`jnl`	Play and Prune: Adaptive Filter Pruning for Deep Model Compression. CoRR Pravendra Singh, Vinay Kumar Verma, Piyush Rai, Vinay P. Namboodiri
2018	A	`conf`	A Generative Approach to Zero-Shot and Few-Shot Action Recognition. WACV Ashish Mishra, Vinay Kumar Verma, M. Shiva Krishna Reddy, Arulkumar Subramaniam, Piyush Rai, Anurag Mittal
2018	J	`jnl`	A Generative Approach to Zero-Shot and Few-Shot Action Recognition. CoRR Ashish Mishra, Vinay Kumar Verma, M. Shiva Krishna Reddy, Arulkumar Subramaniam, Piyush Rai, Anurag Mittal
2018	A*	`conf`	Generalized Zero-Shot Learning via Synthesized Examples. CVPR Vinay Kumar Verma, Gundeep Arora, Ashish Mishra, Piyush Rai
2018	J	`jnl`	Leveraging Filter Correlations for Deep Model Compression. CoRR Pravendra Singh, Vinay Kumar Verma, Piyush Rai, Vinay P. Namboodiri
2018	A*	`conf`	Zero-Shot Learning via Class-Conditioned Deep Generative Models. AAAI Wenlin Wang, Yunchen Pu, Vinay Kumar Verma, Kai Fan, Yizhe Zhang, Changyou Chen, Piyush Rai, Lawrence Carin
2017	A	`conf`	A Probabilistic Framework for Multi-Label Learning with Unseen Labels. UAI Abhilash Gaure, Aishwarya Gupta, Vinay Kumar Verma, Piyush Rai
2017	—	`conf`	A Simple Exponential Family Framework for Zero-Shot Learning. ECML/PKDD (2) Vinay Kumar Verma, Piyush Rai
2017	J	`jnl`	A Simple Exponential Family Framework for Zero-Shot Learning. CoRR Vinay Kumar Verma, Piyush Rai
2017	J	`jnl`	Generalized Zero-Shot Learning via Synthesized Examples. CoRR Gundeep Arora, Vinay Kumar Verma, Ashish Mishra, Piyush Rai
2017	J	`jnl`	Zero-Shot Learning via Class-Conditioned Deep Generative Models. CoRR Wenlin Wang, Yunchen Pu, Vinay Kumar Verma, Kai Fan, Yizhe Zhang, Changyou Chen, Piyush Rai, Lawrence Carin
2014	—	`conf`	A Performance Evaluation of Feature Descriptors for Image Stitching in Architectural Images. ACCV Workshops (2) Prashanth Balasubramanian, Vinay Kumar Verma, Anurag Mittal
2013	—	`conf`	Hand Gesture Segmentation from Complex Color-Texture Background Image. MIWAI Vinay Kumar Verma, Rajeev Wankar, C. Raghavendra Rao, Arun Agarwal