| 2026 | HRI | Towards Falsifiable Grammars of Human-Robot Interaction. | Vinay Kumar Verma |
| 2026 | WACV | Efficient Text-Guided Convolutional Adapter for the Diffusion Model. | Aryan Das, Koushik Biswas, Swalpa Kumar Roy, Badri Narayana Patro, Vinay Kumar Verma |
| 2026 | WACV | Uncertainty-Aware Vision-Language Segmentation for Medical Imaging. | Aryan Das, Tanishq Rachamalla, Koushik Biswas, Swalpa Kumar Roy, Vinay Kumar Verma |
| 2026 | WACV | MEDAL: multi-modal MEta-space Distillation and ALignment for Visual Compatibility Learning. | Dween Rabius Sanny, Vinay Kumar Verma, Prateek Sircar, Deepak Gupta |
| 2025 | ACL | VADE: Visual Attention Guided Hallucination Detection and Elimination. | Vishnu Prabhakaran, Purav Aggarwal, Vinay Kumar Verma, Gokul Swamy, Anoop Saladi |
| 2025 | CVPR | ScoreCAM++: Gated Score-Weighted Visual Explanations for CNNs. | Soham Mitra, Atri Sukul, Swalpa Kumar Roy, Pravendra Singh, Vinay Kumar Verma |
| 2025 | NAACL | MoEMoE: Question Guided Dense and Scalable Sparse Mixture-of-Expert for Multi-source Multi-modal Answering. | Vinay Kumar Verma, Shreyas Sunil Kulkarni, Happy Mittal, Deepak Gupta |
| 2024 | CVPR | Convolutional Prompting meets Language Models for Continual Learning. | Anurag Roy, Riddhiman Moulick, Vinay Kumar Verma, Saptarshi Ghosh, Abir Das |
| 2024 | ICRA | VERSE: Virtual-Gradient Aware Streaming Lifelong Learning with Anytime Inference. | Soumya Banerjee, Vinay Kumar Verma, Avideep Mukherjee, Deepak Gupta, Vinay P. Namboodiri, Piyush Rai |
| 2024 | WACV | Efficient Expansion and Gradient Based Task Inference for Replay Free Incremental Learning. | Soumya Roy, Vinay Kumar Verma, Deepak Gupta |
| 2024 | WACV | 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 |
| 2024 | WACV | CoD: Coherent Detection of Entities from Images with Multiple Modalities. | Vinay Kumar Verma, Dween Rabius Sanny, Abhishek Singh, Deepak Gupta |
| 2023 | CVPR | 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 |
| 2023 | ICCV | Exemplar-Free Continual Transformer with Convolutions. | Anurag Roy, Vinay Kumar Verma, Sravan Voonna, Kripabandhu Ghosh, Saptarshi Ghosh, Abir Das |
| 2023 | ICRA | Streaming LifeLong Learning With Any-Time Inference. | Soumya Banerjee, Vinay Kumar Verma, Vinay P. Namboodiri |
| 2023 | WACV | Pushing the Efficiency Limit Using Structured Sparse Convolutions. | Vinay Kumar Verma, Nikhil Mehta, Shijing Si, Ricardo Henao, Lawrence Carin |
| 2021 | AISTATS | Continual Learning using a Bayesian Nonparametric Dictionary of Weight Factors. | Nikhil Mehta, Kevin J. Liang, Vinay Kumar Verma, Lawrence Carin |
| 2021 | CVPR | Efficient Feature Transformations for Discriminative and Generative Continual Learning. | Vinay Kumar Verma, Kevin J. Liang, Nikhil Mehta, Piyush Rai, Lawrence Carin |
| 2021 | IJCAI | Knowledge Consolidation based Class Incremental Online Learning with Limited Data. | Mohammed Asad Karim, Vinay Kumar Verma, Pravendra Singh, Vinay P. Namboodiri, Piyush Rai |
| 2021 | WACV | Towards Zero-Shot Learning with Fewer Seen Class Examples. | Vinay Kumar Verma, Ashish Mishra, Anubha Pandey, Hema A. Murthy, Piyush Rai |
| 2020 | AAAI | Meta-Learning for Generalized Zero-Shot Learning. | Vinay Kumar Verma, Dhanajit Brahma, Piyush Rai |
| 2020 | CIKM | 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 |
| 2020 | WACV | A Generative Framework for Zero-Shot Learning with Adversarial Domain Adaptation. | Varun Khare, Divyat Mahajan, Homanga Bharadhwaj, Vinay Kumar Verma, Piyush Rai |
| 2020 | WACV | Stacked Adversarial Network for Zero-Shot Sketch based Image Retrieval. | Anubha Pandey, Ashish Mishra, Vinay Kumar Verma, Anurag Mittal, Hema A. Murthy |
| 2020 | WACV | Leveraging Filter Correlations for Deep Model Compression. | Pravendra Singh, Vinay Kumar Verma, Piyush Rai, Vinay P. Namboodiri |
| 2020 | WACV | A "Network Pruning Network" Approach to Deep Model Compression. | Vinay Kumar Verma, Pravendra Singh, Vinay P. Namboodiri, Piyush Rai |
| 2019 | CVPR | HetConv: Heterogeneous Kernel-Based Convolutions for Deep CNNs. | Pravendra Singh, Vinay Kumar Verma, Piyush Rai, Vinay P. Namboodiri |
| 2019 | CVPR | Generative Model for Zero-Shot Sketch-Based Image Retrieval. | Vinay Kumar Verma, Aakansha Mishra, Ashish Mishra, Piyush Rai |
| 2019 | IJCAI | Play and Prune: Adaptive Filter Pruning for Deep Model Compression. | Pravendra Singh, Vinay Kumar Verma, Piyush Rai, Vinay P. Namboodiri |
| 2018 | AAAI | 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 |
| 2018 | CVPR | Generalized Zero-Shot Learning via Synthesized Examples. | Vinay Kumar Verma, Gundeep Arora, Ashish Mishra, Piyush Rai |
| 2018 | WACV | 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 |
| 2017 | UAI | A Probabilistic Framework for Multi-Label Learning with Unseen Labels. | Abhilash Gaure, Aishwarya Gupta, Vinay Kumar Verma, Piyush Rai |
| 2014 | ACCV | A Performance Evaluation of Feature Descriptors for Image Stitching in Architectural Images. | Prashanth Balasubramanian, Vinay Kumar Verma, Anurag Mittal |