Vinod K Kurmi

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Vinay P. NamboodiriDepartment of Computer Science, University of BathVerified email at bath.ac.uk
Badri Narayana PatroSenior Research Scientist @Microsoft, Prev: Google, Samsung, Harman| @KUL, IIITH, IITK, IITB.Verified email at microsoft.com
Antitza DantchevaResearcher, INRIA, FranceVerified email at inria.fr
Sumantra Dutta RoyDepartment of Electrical Engineering, Indian Institute of Technology DelhiVerified email at ee.iitd.ac.in
Prem KalraProfessor Department of Computer Science and Engineering IIT DelhiVerified email at cse.iitd.ac.in
Indu JoshiAssistant Professor, SCEE, IIT Mandi, IndiaVerified email at iitmandi.ac.in
Shanu KumarMicrosoftVerified email at microsoft.com
Vipul BajajUndergraduate student, Indian Institute of Technology KanpurVerified email at iitk.ac.in
Hitika TiwariRakuten Group, Inc.Verified email at rakuten.com
C. V. JawaharCVIT, IIIT Hyderabad, IndiaVerified email at iiit.ac.in
Kirandevraj RMS by Research, IIIT-HVerified email at research.iiit.ac.in
Preethi JyothiAssociate Professor of Computer Science and Engineering, Indian Institute of Technology BombayVerified email at cse.iitb.ac.in
Yash Vardhan SharmaIIT RoorkeeVerified email at me.iitr.ac.in
Rini Smita ThakurPostdoctoral Fellow, IISER, BhopalVerified email at iiserb.ac.in
Rajeev Ranjan DwivediIndian Institute of Science Education and Research BhopalVerified email at iiserb.ac.in
Priyadarshini KumariSony AI, IIT BombayVerified email at sony.com
Udbhav DalavaiBirkbeck, University of LondonVerified email at student.bbk.ac.uk
Sandeep KumarSenior Maths Undergrad, Indian Institute of Technology KanpurVerified email at iitk.ac.in
Yong-Sheng ChenNational Chiao Tung UniversityVerified email at cs.nctu.edu.tw
Rishabh SharmaUniversity of Wisconsin-MadisonVerified email at wisc.edu

Vinod K Kurmi

Assistant Professor, IISER Bhopal

Verified email at iiserb.ac.in - Homepage

Deep Learning Computer vision Machine learning Domain Adaptation Adversarial Learning


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Domain Impression: A Source Data Free Domain Adaptation Method VK Kurmi, VK Subramanian, VP Namboodiri WACV 2021 Proceedings of the IEEE/CVF Winter Conference on Applications of …, 2021	195	2021
Attending to Discriminative Certainty for Domain Adaptation VK Kurmi, S Kumar, VP Namboodiri CVPR 2019 Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019	125	2019
Learning Semantic Sentence Embeddings using Sequential Pair-wise Discriminator BN Patro, VK Kurmi, S Kumar*, V Namboodiri COLING 2018 Proceedings of the 27th International Conference on …, 2018	53	2018
Looking back at Labels: A Class based Domain Adaptation Technique VK Kurmi, VP Namboodiri IJCNN 2019 International Joint Conference on Neural Networks 1341 (https …, 2019	44	2019
Multimodal Differential Network for Visual Question Generation BN Patro, S Kumar, VK Kurmi, VP Namboodiri EMNLP 2018, 2018	44	2018
Explainable Fingerprint ROI Segmentation Using Monte Carlo Dropout I Joshi, R Kothari, A Utkarsh, VK Kurmi, A Dantcheva, SD Roy, PK Kalra WACV-2021 Proceedings of the IEEE/CVF Winter Conference on Applications of …, 2021	24	2021
Do Not Forget to Attend to Uncertainty While Mitigating Catastrophic Forgetting VK Kurmi, BN Patro, VK Subramanian, VP Namboodiri WACV 2021 -Proceedings of the IEEE/CVF Winter Conference on Applications of …, 2021	22	2021
Occlusion Resistant Network for 3D Face Reconstruction H Tiwari, VK Kurmi, KS Venkatesh, YS Chen WACV-2022 Proceedings of the IEEE/CVF Winter Conference on Applications of …, 2022	19	2022
Curriculum based Dropout Discriminator for Domain Adaptation VK Kurmi, V Bajaj, VK Subramanian, VP Namboodiri BMVC 2019- arXiv preprint arXiv:1907.10628, 2019	19	2019
Sensor-invariant fingerprint roi segmentation using recurrent adversarial learning I Joshi, A Utkarsh, R Kothari, VK Kurmi, A Dantcheva, SD Roy, PK Kalra 2021 International Joint Conference on Neural Networks (IJCNN), 1-8, 2021	17	2021
Deep Bayesian Network for Visual Question Generation BN Patro, VK Kurmi, S Kumar, VP Namboodiri WACV 2020, 2020	17	2020
Data uncertainty guided noise-aware preprocessing of fingerprints I Joshi, A Utkarsh, R Kothari, VK Kurmi, A Dantcheva, SD Roy, PK Kalra 2021 International Joint Conference on Neural Networks (IJCNN), 1-8, 2021	14	2021
Generalized Keyword Spotting using ASR embeddings R Kirandevraj, VK Kurmi, VP Namboodiri, CV Jawahar INTERSPEECH 2022: 23rd Annual Conference of the International Speech …, 2022	13	2022
Collaborative Learning to Generate Audio-Video Jointly VK Kurmi, V Bajaj, BN Patro, KS Venkatesh, VP Namboodiri, P Jyothi ICASSP 2021, 2021	12	2021
On estimating uncertainty of fingerprint enhancement models I Joshi, A Utkarsh, R Kothari, VK Kurmi, A Dantcheva, SD Roy, PK Kalra Digital Image Enhancement and Reconstruction, 29-70, 2023	9	2023
Revisiting Paraphrase Question Generator using Pairwise Discriminator BN Patro, D Chauhan, VK Kurmi, VP Namboodiri Neurocomputing 2020, 2019	7	2019
Exploring dropout discriminator for domain adaptation VK Kurmi, VK Subramanian, VP Namboodiri Neurocomputing 457, 168-181, 2021	6	2021
Mitigating uncertainty of classifier for unsupervised domain adaptation S Kumar, VK Kurmi, P Singh, VP Namboodiri arXiv preprint arXiv:2107.00727, 2021	4	2021
Informative discriminator for domain adaptation VK Kurmi, VK Subramanian, VP Namboodiri Image and Vision Computing 111, 104180, 2021	4	2021
Gradient Based Activations for Accurate Bias-Free Learning VK Kurmi, R Sharma, YV Sharma, VP Namboodiri AAAI 2022: arXiv preprint arXiv:2202.10943, 2022	3	2022

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