Vinay Kumar Verma

20 papers · 2018–2026 · 8 conferences · across top CS/AI conferences

Achievements

+10 more ↓

🌍 Conference Polyglot (8) 🐣 Hot Topic Early Bird 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🏃 Academic Marathon (8)

🐣 Hot Topic Early Bird 🐝 Cross-Pollinator (15) 🌍 Conference Polyglot (8) 🤝 Dynamic Duo (12) 🧬 Topic Evolution 🏆 Keyword Champion (2) 🗃️ Keyword Collector (90) ⚡ Prolific Year (6) 💎 Century Club (20) 🚀 Conference Pioneer

Conferences

WACV (9) CVPR (3) IJCAI (2) NIPS (2) AAAI (1) ACL (1) AISTATS (1) NAACL (1)

Top co-authors

Piyush Rai (12) Pravendra Singh (6) Lawrence Carin (5) Ashish Mishra (3) Nikhil Mehta (3) Koushik Biswas (2) Vinay P. Namboodiri (2) Swalpa Kumar Roy (2) Aryan Das (2) Anubha Pandey (2)

Keywords

model compression (5) convolutional neural network (5) continual learning (4) catastrophic forgetting (4) zero-shot learning (4) generative model (4) parameter efficiency (3) generative adversarial network (3) knowledge distillation (3) class incremental learning (2) filter pruning (2) class attribute (2) variational autoencoder (2) parameter reduction (2) image generation (1) bayesian nonparametrics (1) few-shot learning (1) vision transformer (1) neural network pruning (1) adversarial learning (1)

Papers

MEDAL: multi-modal MEta-space Distillation and ALignment for Visual Compatibility Learning WACV 2026 Uncertainty-Aware Vision-Language Segmentation for Medical Imaging WACV 2026 Efficient Text-Guided Convolutional Adapter for the Diffusion Model WACV 2026 MoEMoE: Question Guided Dense and Scalable Sparse Mixture-of-Expert for Multi-source Multi-modal Answering NAACL 2025 VADE: Visual Attention Guided Hallucination Detection and Elimination ACL 2025 Pushing the Efficiency Limit Using Structured Sparse Convolutions WACV 2023 Efficient Feature Transformations for Discriminative and Generative Continual Learning CVPR 2021 Continual Learning using a Bayesian Nonparametric Dictionary of Weight Factors AISTATS 2021 Knowledge Consolidation based Class Incremental Online Learning with Limited Data IJCAI 2021 Towards Zero-Shot Learning With Fewer Seen Class Examples WACV 2021 CAM-GAN: Continual Adaptation Modules for Generative Adversarial Networks NIPS 2021 Stacked Adversarial Network for Zero-Shot Sketch based Image Retrieval WACV 2020 Calibrating CNNs for Lifelong Learning NIPS 2020 Leveraging Filter Correlations for Deep Model Compression WACV 2020 A "Network Pruning Network'' Approach to Deep Model Compression WACV 2020 A Generative Framework for Zero Shot Learning with Adversarial Domain Adaptation WACV 2020 Meta-Learning for Generalized Zero-Shot Learning AAAI 2020 Play and Prune: Adaptive Filter Pruning for Deep Model Compression IJCAI 2019 HetConv: Heterogeneous Kernel-Based Convolutions for Deep CNNs CVPR 2019 Generalized Zero-Shot Learning via Synthesized Examples CVPR 2018