Hand Gesture Segmentation from Complex Color-Texture Background Image. - Vinay Kumar Verma; Rajeev Wankar; C. Raghavendra Rao 001; Arun Agarwal (MIWAI, 2013)

A Performance Evaluation of Feature Descriptors for Image Stitching in Architectural Images. - Prashanth Balasubramanian; Vinay Kumar Verma; Anurag Mittal (ACCV Workshops (2), 2014)

A Simple Exponential Family Framework for Zero-Shot Learning. - Vinay Kumar Verma; Piyush Rai (ECML/PKDD (2), 2017)

A Probabilistic Framework for Multi-Label Learning with Unseen Labels. - Abhilash Gaure; Aishwarya Gupta 001; Vinay Kumar Verma; Piyush Rai (UAI, 2017)

Zero-Shot Learning via Class-Conditioned Deep Generative Models. - Wenlin Wang; Yunchen Pu; Vinay Kumar Verma; Kai Fan 002; Yizhe Zhang 002; Changyou Chen; Piyush Rai; Lawrence Carin (AAAI, 2018)

Generalized Zero-Shot Learning via Synthesized Examples. - Vinay Kumar Verma; Gundeep Arora; Ashish Mishra 001; Piyush Rai (CVPR, 2018)

A Generative Approach to Zero-Shot and Few-Shot Action Recognition. - Ashish Mishra 001; Vinay Kumar Verma; M. Shiva Krishna Reddy; Arulkumar Subramaniam; Piyush Rai; Anurag Mittal (WACV, 2018)

HetConv: Heterogeneous Kernel-Based Convolutions for Deep CNNs. - Pravendra Singh; Vinay Kumar Verma; Piyush Rai; Vinay P. Namboodiri (CVPR, 2019)

Generative Model for Zero-Shot Sketch-Based Image Retrieval. - Vinay Kumar Verma; Aakansha Mishra; Ashish Mishra 001; Piyush Rai (CVPR Workshops, 2019)

Adversarial Joint-Distribution Learning for Novel Class Sketch-Based Image Retrieval. - Anubha Pandey; Ashish Mishra 001; Vinay Kumar Verma; Anurag Mittal (ICCV Workshops, 2019)

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

A Meta-Learning Framework for Generalized Zero-Shot Learning. - Vinay Kumar Verma; Dhanajit Brahma; Piyush Rai (CoRR, 2019)

Meta-Learning for Generalized Zero-Shot Learning. - Vinay Kumar Verma; Dhanajit Brahma; Piyush Rai (AAAI, 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 001 (CIKM, 2020)

Calibrating CNNs for Lifelong Learning. - Pravendra Singh; Vinay Kumar Verma; Pratik Mazumder; Lawrence Carin; Piyush Rai (NeurIPS, 2020)

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

Stacked Adversarial Network for Zero-Shot Sketch based Image Retrieval. - Anubha Pandey; Ashish Mishra 001; Vinay Kumar Verma; Anurag Mittal; Hema A. Murthy (WACV, 2020)

Leveraging Filter Correlations for Deep Model Compression. - Pravendra Singh; Vinay Kumar Verma; Piyush Rai; Vinay P. Namboodiri (WACV, 2020)

A "Network Pruning Network" Approach to Deep Model Compression. - Vinay Kumar Verma; Pravendra Singh; Vinay P. Namboodiri; Piyush Rai (WACV, 2020)

HetConv: Beyond Homogeneous Convolution Kernels for Deep CNNs. - Pravendra Singh; Vinay Kumar Verma; Piyush Rai; Vinay P. Namboodiri (Int. J. Comput. Vis., 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)

Continual Learning using a Bayesian Nonparametric Dictionary of Weight Factors. - Nikhil Mehta 002; Kevin J. Liang; Vinay Kumar Verma; Lawrence Carin (AISTATS, 2021)

Efficient Feature Transformations for Discriminative and Generative Continual Learning. - Vinay Kumar Verma; Kevin J. Liang; Nikhil Mehta 002; Piyush Rai; Lawrence Carin (CVPR, 2021)

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

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

Towards Zero-Shot Learning with Fewer Seen Class Examples. - Vinay Kumar Verma; Ashish Mishra 001; Anubha Pandey; Hema A. Murthy; Piyush Rai (WACV, 2021)

Meta-Learned Attribute Self-Gating for Continual Generalized Zero-Shot Learning. - Vinay Kumar Verma; Kevin J. Liang; Nikhil Mehta 002; Lawrence Carin (CoRR, 2021)

Efficient Continual Adaptation for Generative Adversarial Networks. - Sakshi Varshney; Vinay Kumar Verma; Lawrence Carin; Piyush Rai (CoRR, 2021)

Hypernetworks for Continual Semi-Supervised Learning. - Dhanajit Brahma; Vinay Kumar Verma; Piyush Rai (CoRR, 2021)

Class Incremental Online Streaming Learning. - Soumya Banerjee; Vinay Kumar Verma; Toufiq Parag; Maneesh Singh 001; Vinay P. Namboodiri (CoRR, 2021)

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 (CVPR Workshops, 2023)

Exemplar-Free Continual Transformer with Convolutions. - Anurag Roy; Vinay Kumar Verma; Sravan Voonna; Kripabandhu Ghosh; Saptarshi Ghosh 001; Abir Das (ICCV, 2023)

Streaming LifeLong Learning With Any-Time Inference. - Soumya Banerjee; Vinay Kumar Verma; Vinay P. Namboodiri (ICRA, 2023)

Pushing the Efficiency Limit Using Structured Sparse Convolutions. - Vinay Kumar Verma; Nikhil Mehta 002; Shijing Si; Ricardo Henao; Lawrence Carin (WACV, 2023)

Convolutional Prompting meets Language Models for Continual Learning. - Anurag Roy; Riddhiman Moulick; Vinay Kumar Verma; Saptarshi Ghosh 001; Abir Das (CVPR, 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 (ICRA, 2024)

Efficient Expansion and Gradient Based Task Inference for Replay Free Incremental Learning. - Soumya Roy; Vinay Kumar Verma; Deepak Gupta (WACV, 2024)

Meta-Learned Attribute Self-Interaction Network for Continual and Generalized Zero-Shot Learning. - Vinay Kumar Verma; Nikhil Mehta 002; Kevin J. Liang; Aakansha Mishra; Lawrence Carin (WACV, 2024)

CoD: Coherent Detection of Entities from Images with Multiple Modalities. - Vinay Kumar Verma; Dween Rabius Sanny; Abhishek Singh; Deepak Gupta (WACV, 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)

VADE: Visual Attention Guided Hallucination Detection and Elimination. - Vishnu Prabhakaran; Purav Aggarwal; Vinay Kumar Verma; Gokul Swamy; Anoop Saladi (ACL (Findings), 2025)

ScoreCAM++: Gated Score-Weighted Visual Explanations for CNNs. - Soham Mitra; Atri Sukul; Swalpa Kumar Roy; Pravendra Singh; Vinay Kumar Verma (CVPR Workshops, 2025)

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 (NAACL (Industry Track), 2025)

ADROIT: A Self-Supervised Framework for Learning Robust Representations for Active Learning. - Soumya Banerjee; Vinay Kumar Verma (CoRR, 2025)

Hyperspectral Image Land Cover Captioning Dataset for Vision Language Models. - Aryan Das; Tanishq Rachamalla; Pravendra Singh; Koushik Biswas; Vinay Kumar Verma; Swalpa Kumar Roy (CoRR, 2025)

NOVO: Unlearning-Compliant Vision Transformers. - Soumya Roy; Soumya Banerjee; Vinay Kumar Verma; Soumik Dasgupta; Deepak Gupta; Piyush Rai (CoRR, 2025)