Vinod K. Kurmi
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
19
Venues
10
Active years
2020–2026
Best venue rank
A*
Where they publish
Papers
19 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ICPR | Dense Frame Annotations for Low-Resource ISL Fingerspelling Recognition. | Kirandevraj R, Vinod K. Kurmi, Vinay P. Namboodiri, C. V. Jawahar |
| 2025 | ECAI | Multi-Attribute Bias Mitigation via Representation Learning. | Rajeev Ranjan Dwivedi, Ankur Kumar, Vinod K. Kurmi |
| 2025 | Interspeech | Multilingual Query-by-Example KWS for Indian Languages using Transliteration. | Kirandevraj R, Vinod K. Kurmi, Vinay P. Namboodiri, C. V. Jawahar |
| 2025 | IROS | Spectral-Temporal Attention for Robust Change Detection. | Mayank Thakur, Radhe Shyam Sharma, Vinod K. Kurmi, Raj Samant, Badri Narayana Patro |
| 2025 | WACV | Strategic Base Representation Learning via Feature Augmentations for Few-Shot Class Incremental Learning. | Parinita Nema, Vinod K. Kurmi |
| 2025 | WACV | Label Calibration in Source Free Domain Adaptation. | Shivangi Rai, Rini Smita Thakur, Kunal Jangid, Vinod K. Kurmi |
| 2025 | WACV | Uncertainty and Energy based Loss Guided Semi-Supervised Semantic Segmentation. | Rini Smita Thakur, Vinod K. Kurmi |
| 2024 | BMVC | CosFairNet: A Parameter-Space based Approach for Bias Free Learning. | Rajeev Ranjan Dwivedi, Priyadarshini Kumari, Vinod K. Kurmi |
| 2024 | CIKM | Quantifying Uncertainty in Neural Networks through Residuals. | Dalavai Udbhav Mallanna, Rini Smita Thakur, Rajeev Ranjan Dwivedi, Vinod K. Kurmi |
| 2024 | Interspeech | Towards Robust Few-shot Class Incremental Learning in Audio Classification using Contrastive Representation. | Riyansha Singh, Parinita Nema, Vinod K. Kurmi |
| 2022 | AAAI | Gradient Based Activations for Accurate Bias-Free Learning. | Vinod K. Kurmi, Rishabh Sharma, Yash Vardhan Sharma, Vinay P. Namboodiri |
| 2022 | WACV | Occlusion Resistant Network for 3D Face Reconstruction. | Hitika Tiwari, Vinod K. Kurmi, K. S. Venkatesh, Yong-Sheng Chen |
| 2021 | ICASSP | Collaborative Learning to Generate Audio-Video Jointly. | Vinod K. Kurmi, Vipul Bajaj, Badri N. Patro, K. S. Venkatesh, Vinay P. Namboodiri, Preethi Jyothi |
| 2021 | IJCNN | Data Uncertainty Guided Noise-aware Preprocessing Of Fingerprints. | Indu Joshi, Ayush Utkarsh, Riya Kothari, Vinod K. Kurmi, Antitza Dantcheva, Sumantra Dutta Roy, Prem Kumar Kalra |
| 2021 | IJCNN | Sensor-invariant Fingerprint ROI Segmentation Using Recurrent Adversarial Learning. | Indu Joshi, Ayush Utkarsh, Riya Kothari, Vinod K. Kurmi, Antitza Dantcheva, Sumantra Dutta Roy, Prem Kumar Kalra |
| 2021 | WACV | Explainable Fingerprint ROI Segmentation Using Monte Carlo Dropout. | Indu Joshi, Riya Kothari, Ayush Utkarsh, Vinod K. Kurmi, Antitza Dantcheva, Sumantra Dutta Roy, Prem Kumar Kalra |
| 2021 | WACV | Do not Forget to Attend to Uncertainty while Mitigating Catastrophic Forgetting. | Vinod K. Kurmi, Badri N. Patro, Venkatesh K. Subramanian, Vinay P. Namboodiri |
| 2021 | WACV | Domain Impression: A Source Data Free Domain Adaptation Method. | Vinod K. Kurmi, Venkatesh K. Subramanian, Vinay P. Namboodiri |
| 2020 | WACV | Deep Bayesian Network for Visual Question Generation. | Badri N. Patro, Vinod K. Kurmi, Sandeep Kumar, Vinay P. Namboodiri |