Learning Semantic Sentence Embeddings using Sequential Pair-wise Discriminator. - Badri Narayana Patro; Vinod Kumar Kurmi; Sandeep Kumar; Vinay P. Namboodiri (COLING, 2018)

Multimodal Differential Network for Visual Question Generation. - Badri Narayana Patro; Sandeep Kumar; Vinod Kumar Kurmi; Vinay P. Namboodiri (EMNLP, 2018)

Learning Semantic Sentence Embeddings using Pair-wise Discriminator. - Badri N. Patro; Vinod K. Kurmi; Sandeep Kumar; Vinay P. Namboodiri (CoRR, 2018)

Curriculum based Dropout Discriminator for Domain Adaptation. - Vinod Kumar Kurmi; Vipul Bajaj; Venkatesh K. Subramanian; Vinay P. Namboodiri (BMVC, 2019)

Attending to Discriminative Certainty for Domain Adaptation. - Vinod Kumar Kurmi; Shanu Kumar; Vinay P. Namboodiri (CVPR, 2019)

Looking back at Labels: A Class based Domain Adaptation Technique. - Vinod Kumar Kurmi; Vinay P. Namboodiri (IJCNN, 2019)

Deep Bayesian Network for Visual Question Generation. - Badri N. Patro; Vinod K. Kurmi; Sandeep Kumar; Vinay P. Namboodiri (WACV, 2020)

Collaborative Learning to Generate Audio-Video Jointly. - Vinod K. Kurmi; Vipul Bajaj; Badri N. Patro; K. S. Venkatesh; Vinay P. Namboodiri; Preethi Jyothi (ICASSP, 2021)

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 (IJCNN, 2021)

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 (IJCNN, 2021)

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 (WACV (Workshops), 2021)

Do not Forget to Attend to Uncertainty while Mitigating Catastrophic Forgetting. - Vinod K. Kurmi; Badri N. Patro; Venkatesh K. Subramanian; Vinay P. Namboodiri (WACV, 2021)

Domain Impression: A Source Data Free Domain Adaptation Method. - Vinod K. Kurmi; Venkatesh K. Subramanian; Vinay P. Namboodiri (WACV, 2021)

Mitigating Uncertainty of Classifier for Unsupervised Domain Adaptation. - Shanu Kumar; Vinod Kumar Kurmi; Praphul Singh; Vinay P. Namboodiri (CoRR, 2021)

Prb-GAN: A Probabilistic Framework for GAN Modelling. - Blessen George; Vinod K. Kurmi; Vinay P. Namboodiri (CoRR, 2021)

Exploring dropout discriminator for domain adaptation. - Vinod Kumar Kurmi; Venkatesh K. Subramanian; Vinay P. Namboodiri (Neurocomputing, 2021)

Revisiting paraphrase question generator using pairwise discriminator. - Badri N. Patro; Dev Chauhan; Vinod K. Kurmi; Vinay P. Namboodiri (Neurocomputing, 2021)

Informative discriminator for domain adaptation. - Vinod K. Kurmi; Venkatesh K. Subramanian; Vinay P. Namboodiri (Image Vis. Comput., 2021)

MUMC: Minimizing uncertainty of mixture of cues. - Badri N. Patro; Vinod K. Kurmi; Sandeep Kumar; Vinay P. Namboodiri (Image Vis. Comput., 2021)

Gradient Based Activations for Accurate Bias-Free Learning. - Vinod K. Kurmi; Rishabh Sharma; Yash Vardhan Sharma; Vinay P. Namboodiri (AAAI, 2022)

Generalized Keyword Spotting using ASR embeddings. - Kirandevraj R; Vinod Kumar Kurmi; Vinay P. Namboodiri; C. V. Jawahar (INTERSPEECH, 2022)

Occlusion Resistant Network for 3D Face Reconstruction. - Hitika Tiwari; Vinod K. Kurmi; K. S. Venkatesh; Yong-Sheng Chen (WACV, 2022)

Distilling knowledge for occlusion robust monocular 3D face reconstruction. - Hitika Tiwari; Vinod K. Kurmi; Venkatesh K. Subramanian; Yong-Sheng Chen (Image Vis. Comput., 2023)

CosFairNet: A Parameter-Space based Approach for Bias Free Learning. - Rajeev Ranjan Dwivedi; Priyadarshini Kumari; Vinod K. Kurmi (BMVC, 2024)

Quantifying Uncertainty in Neural Networks through Residuals. - Dalavai Udbhav Mallanna; Rini Smita Thakur; Rajeev Ranjan Dwivedi; Vinod K. Kurmi (CIKM, 2024)

TCPNet: A Novel Tumor Contour Prediction Network Using MRIs. - Shraddha Agarwal; Vinod K. Kurmi; Abhirup Banerjee; Tanmay Basu (ICHI, 2024)

Uncertainty Quantification in Deep Learning Framework for Mallampati Classification. - Anuradha Mahato; Prateek Sarangi; Vinod Kumar Kurmi; Abhirup Banerjee; Abhishek Goyal; Tanmay Basu (ICHI, 2024)

Towards Robust Few-shot Class Incremental Learning in Audio Classification using Contrastive Representation. - Riyansha Singh; Parinita Nema; Vinod K. Kurmi (INTERSPEECH, 2024)

CosFairNet:A Parameter-Space based Approach for Bias Free Learning. - Rajeev Ranjan Dwivedi; Priyadarshini Kumari; Vinod K. Kurmi (CoRR, 2024)

Strategic Base Representation Learning via Feature Augmentations for Few-Shot Class Incremental Learning. - Parinita Nema; Vinod K. Kurmi (WACV, 2025)

Label Calibration in Source Free Domain Adaptation. - Shivangi Rai; Rini Smita Thakur; Kunal Jangid; Vinod K. Kurmi (WACV, 2025)

Uncertainty and Energy based Loss Guided Semi-Supervised Semantic Segmentation. - Rini Smita Thakur; Vinod K. Kurmi (WACV, 2025)