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Vinod K Kurmi
Vinod K Kurmi
Assistant Professor, IISER Bhopal
Potvrđena adresa e-pošte na iiserb.ac.in - Početna stranica
Naslov
Citirano
Citirano
Godina
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
922019
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
532021
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
402018
Multimodal Differential Network for Visual Question Generation
BN Patro, S Kumar, VK Kurmi, VP Namboodiri
EMNLP 2018, 2018
322018
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
282019
Curriculum based Dropout Discriminator for Domain Adaptation
VK Kurmi, V Bajaj, VK Subramanian, VP Namboodiri
BMVC 2019- arXiv preprint arXiv:1907.10628, 2019
172019
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
112021
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
92021
Deep Bayesian Network for Visual Question Generation
BN Patro, VK Kurmi, S Kumar, VP Namboodiri
WACV 2020, 2020
92020
Sensor-invariant Fingerprint ROI Segmentation Using Recurrent Adversarial Learning
I Joshi, A Utkarsh, R Kothari, VK Kurmi, A Dantcheva, SD Roy, PK Kalra
IJCNN 2021-, 2021
62021
Data Uncertainty Guided Noise-aware Preprocessing Of Fingerprints
I Joshi, A Utkarsh, R Kothari, VK Kurmi, A Dantcheva, SD Roy, PK Kalra
IJCNN 2021, 2021
62021
Collaborative Learning to Generate Audio-Video Jointly
VK Kurmi, V Bajaj, BN Patro, KS Venkatesh, VP Namboodiri, P Jyothi
ICASSP 2021, 2021
42021
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, 2022
32022
Exploring dropout discriminator for domain adaptation
VK Kurmi, VK Subramanian, VP Namboodiri
Neurocomputing 457, 168-181, 2021
32021
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
12022
MUMC: Minimizing uncertainty of mixture of cues
BN Patro, VK Kurmi, S Kumar, VP Namboodiri
Image and Vision Computing 115, 104280, 2021
12021
Mitigating Uncertainty of Classifier for Unsupervised Domain Adaptation
S Kumar, VK Kurmi, P Singh, VP Namboodiri
arXiv preprint arXiv:2107.00727, 2021
12021
Informative discriminator for domain adaptation
VK Kurmi, VK Subramanian, VP Namboodiri
Image and Vision Computing 111, 104180, 2021
12021
Revisiting Paraphrase Question Generator using Pairwise Discriminator
BN Patro, D Chauhan, VK Kurmi, VP Namboodiri
Neurocomputing 2020, 2019
12019
Gradient Based Activations for Accurate Bias-Free Learning
VK Kurmi, R Sharma, YV Sharma, VP Namboodiri
AAAI 2022: arXiv preprint arXiv:2202.10943, 2022
2022
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