Vinod K. Kurmi

43 papers A* 1A 13B 2Misc 1Journal 24Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	CLFSeg: A Fuzzy-Logic based Solution for Boundary Clarity and Uncertainty Reduction in Medical Image Segmentation. CoRR Anshul Kaushal, Kunal Jangid, Vinod K. Kurmi
2025	J	`jnl`	Grad-CL: Source Free Domain Adaptation with Gradient Guided Feature Disalignment. CoRR Rini Smita Thakur, Rajeev Ranjan Dwivedi, Vinod K. Kurmi
2025	A	`conf`	Label Calibration in Source Free Domain Adaptation. WACV Shivangi Rai, Rini Smita Thakur, Kunal Jangid, Vinod K. Kurmi
2025	J	`jnl`	Label Calibration in Source Free Domain Adaptation. CoRR Shivangi Rai, Rini Smita Thakur, Kunal Jangid, Vinod K. Kurmi
2025	J	`jnl`	Multi Attribute Bias Mitigation via Representation Learning. CoRR Rajeev Ranjan Dwivedi, Ankur Kumar, Vinod K. Kurmi
2025	A	`conf`	Multi-Attribute Bias Mitigation via Representation Learning. ECAI Rajeev Ranjan Dwivedi, Ankur Kumar, Vinod K. Kurmi
2025	A	`conf`	Multilingual Query-by-Example KWS for Indian Languages using Transliteration. INTERSPEECH Kirandevraj R, Vinod K. Kurmi, Vinay P. Namboodiri, C. V. Jawahar
2025	A	`conf`	Spectral-Temporal Attention for Robust Change Detection. IROS Mayank Thakur, Radhe Shyam Sharma, Vinod K. Kurmi, Raj Samant, Badri Narayana Patro
2025	A	`conf`	Strategic Base Representation Learning via Feature Augmentations for Few-Shot Class Incremental Learning. WACV Parinita Nema, Vinod K. Kurmi
2025	J	`jnl`	Strategic Base Representation Learning via Feature Augmentations for Few-Shot Class Incremental Learning. CoRR Parinita Nema, Vinod K. Kurmi
2025	A	`conf`	Uncertainty and Energy based Loss Guided Semi-Supervised Semantic Segmentation. WACV Rini Smita Thakur, Vinod K. Kurmi
2025	J	`jnl`	Uncertainty and Energy based Loss Guided Semi-Supervised Semantic Segmentation. CoRR Rini Smita Thakur, Vinod K. Kurmi
2024	A	`conf`	CosFairNet: A Parameter-Space based Approach for Bias Free Learning. BMVC Rajeev Ranjan Dwivedi, Priyadarshini Kumari, Vinod K. Kurmi
2024	J	`jnl`	CosFairNet:A Parameter-Space based Approach for Bias Free Learning. CoRR Rajeev Ranjan Dwivedi, Priyadarshini Kumari, Vinod K. Kurmi
2024	A	`conf`	Quantifying Uncertainty in Neural Networks through Residuals. CIKM Dalavai Udbhav Mallanna, Rini Smita Thakur, Rajeev Ranjan Dwivedi, Vinod K. Kurmi
2024	—	`conf`	TCPNet: A Novel Tumor Contour Prediction Network Using MRIs. ICHI Shraddha Agarwal, Vinod K. Kurmi, Abhirup Banerjee, Tanmay Basu
2024	A	`conf`	Towards Robust Few-shot Class Incremental Learning in Audio Classification using Contrastive Representation. INTERSPEECH Riyansha Singh, Parinita Nema, Vinod K. Kurmi
2024	J	`jnl`	Towards Robust Few-shot Class Incremental Learning in Audio Classification using Contrastive Representation. CoRR Riyansha Singh, Parinita Nema, Vinod K. Kurmi
2023	J	`jnl`	Distilling knowledge for occlusion robust monocular 3D face reconstruction. Image Vis. Comput. Hitika Tiwari, Vinod K. Kurmi, Venkatesh K. Subramanian, Yong-Sheng Chen
2022	A*	`conf`	Gradient Based Activations for Accurate Bias-Free Learning. AAAI Vinod K. Kurmi, Rishabh Sharma, Yash Vardhan Sharma, Vinay P. Namboodiri
2022	J	`jnl`	Gradient Based Activations for Accurate Bias-Free Learning. CoRR Vinod K. Kurmi, Rishabh Sharma, Yash Vardhan Sharma, Vinay P. Namboodiri
2022	A	`conf`	Occlusion Resistant Network for 3D Face Reconstruction. WACV Hitika Tiwari, Vinod K. Kurmi, K. S. Venkatesh, Yong-Sheng Chen
2021	Misc	`conf`	Collaborative Learning to Generate Audio-Video Jointly. ICASSP Vinod K. Kurmi, Vipul Bajaj, Badri N. Patro, K. S. Venkatesh, Vinay P. Namboodiri, Preethi Jyothi
2021	J	`jnl`	Collaborative Learning to Generate Audio-Video Jointly. CoRR Vinod K. Kurmi, Vipul Bajaj, Badri N. Patro, K. S. Venkatesh, Vinay P. Namboodiri, Preethi Jyothi
2021	B	`conf`	Data Uncertainty Guided Noise-aware Preprocessing Of Fingerprints. IJCNN Indu Joshi, Ayush Utkarsh, Riya Kothari, Vinod K. Kurmi, Antitza Dantcheva, Sumantra Dutta Roy, Prem Kumar Kalra
2021	J	`jnl`	Data Uncertainty Guided Noise-aware Preprocessing Of Fingerprints. CoRR Indu Joshi, Ayush Utkarsh, Riya Kothari, Vinod K. Kurmi, Antitza Dantcheva, Sumantra Dutta Roy, Prem Kumar Kalra
2021	J	`jnl`	Do Not Forget to Attend to Uncertainty while Mitigating Catastrophic Forgetting. CoRR Vinod K. Kurmi, Badri N. Patro, Venkatesh K. Subramanian, Vinay P. Namboodiri
2021	A	`conf`	Do not Forget to Attend to Uncertainty while Mitigating Catastrophic Forgetting. WACV Vinod K. Kurmi, Badri N. Patro, Venkatesh K. Subramanian, Vinay P. Namboodiri
2021	A	`conf`	Domain Impression: A Source Data Free Domain Adaptation Method. WACV Vinod K. Kurmi, Venkatesh K. Subramanian, Vinay P. Namboodiri
2021	J	`jnl`	Domain Impression: A Source Data Free Domain Adaptation Method. CoRR Vinod K. Kurmi, Venkatesh K. Subramanian, Vinay P. Namboodiri
2021	—	`conf`	Explainable Fingerprint ROI Segmentation Using Monte Carlo Dropout. WACV (Workshops) Indu Joshi, Riya Kothari, Ayush Utkarsh, Vinod K. Kurmi, Antitza Dantcheva, Sumantra Dutta Roy, Prem Kumar Kalra
2021	J	`jnl`	Exploring Dropout Discriminator for Domain Adaptation. CoRR Vinod K. Kurmi, Venkatesh K. Subramanian, Vinay P. Namboodiri
2021	J	`jnl`	Informative discriminator for domain adaptation. Image Vis. Comput. Vinod K. Kurmi, Venkatesh K. Subramanian, Vinay P. Namboodiri
2021	J	`jnl`	MUMC: Minimizing uncertainty of mixture of cues. Image Vis. Comput. Badri N. Patro, Vinod K. Kurmi, Sandeep Kumar, Vinay P. Namboodiri
2021	J	`jnl`	Prb-GAN: A Probabilistic Framework for GAN Modelling. CoRR Blessen George, Vinod K. Kurmi, Vinay P. Namboodiri
2021	J	`jnl`	Revisiting paraphrase question generator using pairwise discriminator. Neurocomputing Badri N. Patro, Dev Chauhan, Vinod K. Kurmi, Vinay P. Namboodiri
2021	B	`conf`	Sensor-invariant Fingerprint ROI Segmentation Using Recurrent Adversarial Learning. IJCNN Indu Joshi, Ayush Utkarsh, Riya Kothari, Vinod K. Kurmi, Antitza Dantcheva, Sumantra Dutta Roy, Prem Kumar Kalra
2021	J	`jnl`	Sensor-invariant Fingerprint ROI Segmentation Using Recurrent Adversarial Learning. CoRR Indu Joshi, Ayush Utkarsh, Riya Kothari, Vinod K. Kurmi, Antitza Dantcheva, Sumantra Dutta Roy, Prem Kumar Kalra
2020	A	`conf`	Deep Bayesian Network for Visual Question Generation. WACV Badri N. Patro, Vinod K. Kurmi, Sandeep Kumar, Vinay P. Namboodiri
2020	J	`jnl`	Deep Bayesian Network for Visual Question Generation. CoRR Badri N. Patro, Vinod K. Kurmi, Sandeep Kumar, Vinay P. Namboodiri
2019	J	`jnl`	Revisiting Paraphrase Question Generator using Pairwise Discriminator. CoRR Badri N. Patro, Dev Chauhan, Vinod K. Kurmi, Vinay P. Namboodiri
2018	J	`jnl`	Learning Semantic Sentence Embeddings using Pair-wise Discriminator. CoRR Badri N. Patro, Vinod K. Kurmi, Sandeep Kumar, Vinay P. Namboodiri
2018	J	`jnl`	Multimodal Differential Network for Visual Question Generation. CoRR Badri N. Patro, Sandeep Kumar, Vinod K. Kurmi, Vinay P. Namboodiri