Vinod K Kurmi
email

| CV | Google Scholar |
| Github | Twitter |

Office Address: 311B, AB4 (Therm Building), IISER Bhopal.

Phone No.: +91 755 269 2689

email

I am an assistant professor at Dept. of DSE, IISER Bhopal.

Brief Bio: Before joining IISER Bhopal, I was a post-doc research fellow at KU Leuven, Belgium, worked with Prof. Tinne Tuytelaars and CVIT Hyderabad, worked with Prof. C.V. Jawahar respectively. I was a DAAD AI Post-Doc-Net Fellow.

I obtained my Ph.D. from Indian Institute of Technology Kanpur, India under the supervision of Prof. Vinay P Namboodiri and Prof. K. S. Venkatesh. I was associated with the Delta Lab and Computer Vision Lab and was a TCS-Research fellow from 2015-2020. I completed my M.Tech in 2014 from Indian Institute of Technology Kanpur under the supervision of Prof. K. S. Venkatesh. I graduated in 2012 from SGSITS Indore.

Research: My research areas are related to computer vision (CV), deep learning (DL), and machine learning (ML). Some of the active areas of research include:

  • Transfer learning (Domain adaptation, Incremental learning).
  • Fairness and bias-free learning.
  • Uncertainty in deep learning (Bayesian models).
  • Data generative models (GANs, VAEs, and Diffusion models).
  • Medical image processing.
  • 3D reconstructions, augmented reality (AR), and virtual reality (VR).
  • Speech and audio analysis.


We are seeking motivated researchers who are passionate about computer vision, machine learning, and deep learning. If you are interested, please send us your CV and highlight your areas of interest and experience. We have openings for long internships and PhDs in this groups.

For more details please visit the Visual Data Computing Group (VisDom).

Useful links: [IISER Bhopal Internship Program], [PhD Program], [Dissertation form Non-IISERB]


  News
  • 3 Papers accepted in WACV-25.
  • Invited talk on 'AI on Radiantion Oncology' at ICRO Proadvance 2024 in PGIMER Chandigarh.
  • 'HetGP- Quantifying Uncertainty through Residuals' has been accepted at CIKM-24.
  • 'CosFairNet' has been accepted at BMVC-24.
  • Our work 'Few-shot Audio Class Incremental Learning' has been accepted at Interspeech-24.
  • Patent granted [Certificate].
  • Selected to attend the ACM-Pingala Interactions 2024.
  • Our work on '3D Face Reconstruction' has been accepted at Image Vision Computing Journal-Elsevier.
  • Received a travel grant from the DAAD AI-Net fellowship to visit several German Research and academic institutes.
  • ---- show more ----

  Publications
sym

Strategic Base Representation Learning via Feature Augmentations for Few-Shot Class Incremental Learning
Parinita Nema, Vinod K Kurmi
IEEE Winter Conference of Applications on Computer Vision (WACV), 2025.

abstract | bibtex |

@inproceedings{nema_wacv25,
Author = {Nema, Parinita 
and Kurmi, Vinod },
Title = {Strategic Base Representation
Learning via Feature Augmentations for
Few-Shot Class Incremental Learning},
Booktitle = {WACV},
Year   = {2025}
}
sym

Uncertainty and Energy based Loss Guided Semi-Supervised Semantic Segmentation
Rini Thakur, Vinod K Kurmi
IEEE Winter Conference of Applications on Computer Vision (WACV), 2025.

abstract | bibtex |

@inproceedings{thakur_wacv25,
Author = {Thakur, Rini 
and Kurmi, Vinod },
Title = {Uncertainty and Energy 
based Loss Guided Semi-Supervised
Semantic Segmentation},
Booktitle = {WACV},
Year   = {2025}
}
sym

Evidential Deep Learning for Pseudolabel Refinement in Source Free Domain Adaptation
Shivangi Rai, Rini Thakur, Kunal Jangid, Vinod K Kurmi
IEEE Winter Conference of Applications on Computer Vision (WACV), 2025.

abstract | bibtex |

@inproceedings{rai_wacv25,
Author = {Rai Shivangi, 
and Thakur, Rini
and Jangid, Kunal
and Kurmi, Vinod  },
Title = {Evidential Deep Learning
for Pseudolabel Refinement in
Source Free Domain Adaptation},
Booktitle = {WACV},
Year   = {2025}
}
sym

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

abstract | webpage | bibtex |

@inproceedings{rajeevbmvc24_abs,
Author = {Dwivedi, Rajeev R
and Kumari, Priyadarshini
and Kurmi, Vinod  },
Title = {CosFairNet:A Parameter-Space based
Approach for Bias Free Learning},
Booktitle = {BMVC},
Year   = {2024}
}
sym

Towards Robust Few-shot Class Incremental Learning in Audio Classification using Contrastive Representation
Riyansha Singh, Parinita Nema, Vinod K Kurmi
Conference of the International Speech Communication Association (Interspeech), 2024.

abstract | webpage | ArXiv | bibtex |

@inproceedings{singh_intespeech24,
Author = {Singh Riyansha, 
and Nema, Parinita
and Kurmi, Vinod  },
Title = {Towards Robust Few-shot 
Class Incremental Learning in Audio
Classification using Contrastive Representation},
Booktitle = {Interspeech},
Year   = {2024}
}
sym

Quantifying Uncertainty in Neural Networks through Residuals
Dalavai Udbhav Mallanna, Rajeev Ranjan Dwivedi, Rini Smita Thakur, Vinod K Kurmi
ACM International Conference on Information and Knowledge Management (CIKM), 2024.

abstract | webpage | bibtex |

@inproceedings{udbhav,
Author = {Udbhav Mallanna,Dalavai 
and Dwivedi, Rajeev R
and Thakur, Rini S
and Kurmi, Vinod  },
Title = {Quantifying Uncertainty
in Neural Networks through Residuals},
Booktitle = {CIKM},
Year   = {2024}
}
sym

Distilling Knowledge for Occlusion Robust Monocular 3D Face Reconstruction
H. Tiwari, Vinod K Kurmi, Venkatesh K Subramanian, Yong-Sheng Chen
Image and Vision Computing,(IMAVIS), 2023.

abstract | pdf | bibtex |

@inproceedings{hitika_ivc3,
Author = {Tiwari, Hitika
and Kurmi, Vinod K
and  Subramanian,
Venkatesh K and
Chen, Yong Sheng },
Title = {Distilling Knowledge
for Occlusion Robust Monocular
3D Face Reconstruction},
Booktitle = {InterSpeech},
Year   = {2022}
}
sym

Generalized Keyword Spotting using ASR embeddings
Kirandevraj R, Vinod K Kurmi, Vinay P Namboodiri, C V Jawahar
Conference of the International Speech Communication Association (Interspeech) 2022, Incheon Korea.

abstract | pdf | bibtex |

@inproceedings{kiran_inter22,
Author = {R,Kiran.
and Kurmi, Vinod K
and Namboodiri, Vinay P
and Jawhar, CV},
Title = {Generalized Keyword
Spotting using ASR embeddings},
Booktitle = {InterSpeech},
Year   = {2022}
}
sym

Gradient Based Activations for Accurate Bias-Free Learning
Vinod K Kurmi*, Rishabh Sharma*, Yash Vardhan Sharma*, Vinay P Namboodiri (*equal contributions)
Proceedings of the AAAI Conference on Artificial Intelligence, (AAAI), Vancouver BC, Canada, 2022.

webpage | pdf | abstract | bibtex | code |

@inproceedings{kurmi_aaai22,
Author = {Kurmi,Vinod K.
and Sharma, Rishabh and
Sharma, Yash Vardhan and
Namboodiri, Vinay P},
Title = {Gradient Based
Activations for Accurate
Bias-Free Learning},
Booktitle = {AAAI},
Year   = {2022}
}
sym

Occlusion Resistant Network for 3D Face Reconstruction
H. Tiwari, Vinod K Kurmi, Venkatesh K Subramanian, Yong-Sheng Chen
IEEE Winter Conference of Applications on Computer Vision (WACV), 2022.

pdf | abstract | bibtex |

@inproceedings{tiwati_wacv22,
Author = {Tiwari, H.
and Kurmi,Vinod Kumar
and Venkatesh, KS and
Chen,Yong-Sheng},
Title = {Occlusion Resistant Network
 for 3D Face Reconstruction},
Booktitle = {WACV},
Year   = {2022}
}






   
sym

MUMC: Minimizing Uncertainty of Mixture of Cues
Badri N Patro, Vinod K Kurmi, Sandeep Kumar, Vinay P Namboodiri
Image and Vision Computing,(IMAVIS), 2021.

pdf | abstract | bibtex |

@inproceedings{patro_ivc_2,
Author = {Patro, Badri Narayana
and Kumar, Sandeep and Kurmi,
Vinod Kumar and Namboodiri, Vinay},
Title = {MUMC: Minimizing Uncertainty
of Mixture of Cues},
Booktitle = {Image and Vision 
Computing,(IMAVIS)},
Year   = {2021}
}
sym

Exploring Dropout Discriminator for Domain Adaptation
Vinod K Kurmi, Venkatesh K Subramanian, Vinay P Namboodiri
NeuroComputing(Journal-Elsevier), 2021.

webpage | pdf | abstract | bibtex | code |

@inproceedings{kurmi2021_idda_j,
Author = {Kurmi, Vinod Kumar and K S ,
Venaktesh and  Namboodiri, Vinay},
Title = {Exploring Dropout 
Discriminator for Domain Adaptation},
Booktitle = {Neurocomputing},
Year   = {2021}
}
sym

Mitigating Uncertainty of Classifier for Unsupervised Domain Adaptation
Shanu Kumar, Vinod K Kurmi, Praphul Singh, Vinay P Namboodiri
Preprint- arXiv, 2021.

pdf | abstract | bibtex |

@inproceedings{shanu,
Author = {Kumar, Shanu and
Kurmi, Vinod Kumar and Singh,
Praphul and Namboodiri, Vinay P},
Title = {Mitigating Uncertainty
 of Classifier for Unsupervised Domain Adaptation},
Booktitle = {Preprint- arXiv},
Year   = {2021}
}
sym

Prb-GAN: A Probabilistic Framework for GAN Modelling
Blessen George, Vinod K Kurmi,Vinay P Namboodiri
Preprint- ArXiv, 2021.

pdf | abstract | bibtex | code |

@inproceedings{george2021prb,
  title={Prb-GAN: A Probabilistic
  Framework for GAN Modelling},
  author={George, Blessen and 
  Kurmi, Vinod K and Namboodiri, Vinay P},
  journal={arXiv preprint arXiv:2107.05241},
  year={2021}
}
sym

Sensor-invariant Fingerprint ROI SegmentationUsing Recurrent Adversarial Learning
Indu Joshi, Ayush Utkarsh, Riya Kothari, Vinod K Kurmi, Antitza Dantcheva, Sumantra Dutta Roy, Prem Kumar Kalra
International Joint Conference on Neural Networks (IJCNN), 2021.

pdf | abstract | bibtex | arXiv |

@inproceedings{joshi021_1,
Author={Joshi, Indu and Kothari, Riya
 and Utkarsh, Ayush and Kurmi, Vinod K
 and Dantcheva,Antitza and Roy,
 Sumantra Dutta and Kalra, Prem Kumar},
Title = {Sensor-invariant Fingerprint
ROI SegmentationUsing Recurrent 
Adversarial Learning},
Booktitle = {IJCNN},
Year   = {2021}
}
sym

Data Uncertainty Guided Noise-awarePreprocessing Of Fingerprints
Indu Joshi, Ayush Utkarsh, Riya Kothari, Vinod K Kurmi, Antitza Dantcheva, Sumantra Dutta Roy, Prem Kumar Kalra
International Joint Conference on Neural Networks (IJCNN), 2021.

pdf | abstract | bibtex | arXiv |

@inproceedings{joshi021_2,
Author={Joshi, Indu and Kothari, Riya
 and Utkarsh, Ayush and Kurmi, Vinod K
 and Dantcheva,Antitza and Roy,
 Sumantra Dutta and Kalra, Prem Kumar},
Title = {Data Uncertainty Guided 
Noise-awarePreprocessing Of Fingerprints},
Booktitle = {IJCNN},
Year   = {2021}
}
sym

Informative Discriminator for Domain Adaptation
Vinod K Kurmi, Venkatesh K Subramanian, Vinay P Namboodiri
Image and Vision Computing,(IMAVIS), 2021.

webpage | pdf | abstract | bibtex | code |

@inproceedings{kurmi2021_idda_j,
Author = {Kurmi, Vinod Kumar and K S ,
Venaktesh and  Namboodiri, Vinay},
Title = {Informative Discriminator
 for Domain Adaptation},
Booktitle = {Image and Vision Computing,(IMAVIS)},
Year   = {2021}
}
sym

Collaborative Learning to Generate Audio-Video Jointly
Vinod K Kurmi, Vipul Bajaj, Badri N. Patro, Venkatesh K Subramanian, Vinay P. Namboodiri, Preethi Jyothi
IEEE International Conference on Acoustics, Speech, and Signal Processing.(ICASSP), 2021.

webpage | pdf | abstract | bibtex | arXiv | code |

@inproceedings{kurmi2021_avg,
Author = {Kurmi, Vinod Kumar and Bajaj, Vipul and Patro, Badri N and K S ,
Venaktesh and  Namboodiri, Vinay and Jyothi, Preethi},
Title = {Collaborative Learning to Generate Audio-Video Jointly},
Booktitle = {ICASSP},
Year   = {2021}
}
sym

Domain Impression: A Source Data Free Domain Adaptation Method
Vinod K Kurmi, Venkatesh K Subramanian, Vinay P Namboodiri
IEEE Winter Conference of Applications on Computer Vision (WACV), 2021.

webpage | pdf | abstract | bibtex | arXiv | code |

@inproceedings{kurmi2021_sfda,
Author = {Kurmi, Vinod Kumar and K S ,
Venaktesh and  Namboodiri, Vinay},
Title = {Domain Impression: A Source Data Free
Domain Adaptation Method},
Booktitle = {WACV},
Year   = {2021}
}
sym

Do not Forget to Attend to Uncertainty while Mitigating Catastrophic Forgetting
Vinod K Kurmi, Badri Narayana Patro, Venkatesh K Subramanian, Vinay P Namboodiri
IEEE Winter Conference of Applications on Computer Vision (WACV), 2021.

webpage | pdf | abstract | bibtex | arXiv | code |

@inproceedings{kurmi2021_incre,
Author = {Kurmi, Vinod Kumar and Patro, Badri Narayana
and K S , Venaktesh and  Namboodiri, Vinay},
Title = {Do not Forget to Attend to Uncertainty while
Mitigating Catastrophic Forgetting},
Booktitle = {WACV},
Year   = {2021}
}
sym

Explainable Fingerprint ROI Segmentation Using Monte Carlo Dropout
Indu Joshi, Ayush Utkarsh, Riya Kothari, Vinod K Kurmi, Antitza Dantcheva, Sumantra Dutta Roy, Prem Kumar Kalra
IEEE Winter Conference on Applications of Computer Vision Workshops (WACVW), 2021.

pdf | abstract | bibtex | arXiv |

@inproceedings{joshi021_w,
Author={Joshi, Indu and Kothari, Riya
 and Utkarsh, Ayush and Kurmi, Vinod K
 and Dantcheva,Antitza and Roy,
 Sumantra Dutta and Kalra, Prem Kumar},
Title = {Explainable Fingerprint ROI Segmentation
 Using Monte Carlo Dropout},
Booktitle = {IEEE Winter Conference on Applications
of Computer Vision Workshops (WACVW)},
Year   = {2021}
}
sym

Revisiting Paraphrase Question Generator using Pairwise Discriminator
Badri N Patro, Dev Chauhan, Vinod K Kurmi, Vinay P Namboodiri
Neurocomputing , 2020

pdf | abstract | bibtex | arXiv | code

@inproceedings{patro2020Bayesian,
title={Revisiting Paraphrase Question Generator
using Pairwise Discriminator},
author={Patro, Badri Narayana and Chauhan, Dev
and Kurmi, Vinod Kumar and Namboodiri, Vinay},
booktitle={Neurocomputing},
year   = {2020}



}
sym

Deep Bayesian Network for Visual Question Generation
Badri N Patro, Vinod K Kurmi, Sandeep Kumar, Vinay P Namboodiri
IEEE Winter Conference of Applications on Computer Vision (WACV), 2020
.

webpage | pdf | abstract | bibtex | arXiv | code

@inproceedings{patro2020Bayesian,
  title={Deep Bayesian Network for Visual Question Generation},
  author={Patro, Badri Narayana and Kumar, Sandeep
  and Kurmi, Vinod Kumar and Namboodiri, Vinay},
  booktitle={IEEE Winter Conference of Applications
  on Computer Vision (WACV)},
  year   = {2020}
}
sym

Curriculum based Dropout Discriminator for Domain Adaptation
Vinod K Kurmi, Vipul Bajaj, Venkatesh K Subramanian, Vinay P Namboodiri
British Machine Vision Conference (BMVC) , 2019

webpage | pdf | abstract | bibtex | arXiv | code

@article{kurmi2019curriculum,
title={Curriculum based Dropout Discriminator for Domain Adaptation},
author={Kurmi, Vinod Kumar and Bajaj, Vipul
and Subramanian, Venkatesh K and Namboodiri, Vinay P},
journal={BMVC},
year={2019} }
sym

Looking back at Labels: A Class based Domain Adaptation Technique
Vinod K Kurmi, Vinay P Namboodiri
International Joint Conference on Neural Networks (IJCNN), 2019. (Oral presentation)

webpage | pdf | abstract | bibtex | arXiv | ppt | code

@InProceedings{kurmi2019looking,
author = {Kurmi, Vinod Kumar and
Namboodiri, Vinay P},
title = {Looking back at Labels:
A Class based Domain Adaptation
Technique},
booktitle = {International Joint
Conference on Neural Networks (IJCNN) },
month = {July},
year = {2019}
}
sym

Attending to Discriminative Certainty for Domain Adaptation
Vinod K Kurmi*, Shanu Kumar* , Vinay P. Namboodiri (*equal contributions)
Conference on Computer Vision and Pattern Recognition (CVPR) , 2019
.

webpage | pdf | abstract | bibtex | arXiv | poster| code| supplementary code

@InProceedings{Kurmi_2019_CVPR,
author = {Kumar Kurmi, Vinod and Kumar, Shanu
and Namboodiri, Vinay P.},
title = {Attending to Discriminative Certainty
for Domain Adaptation},
booktitle = {IEEE Computer Society Conference
on Computer Vision and Pattern Recognition(CVPR),},
month = {June},
year = {2019}
}
sym

Multimodal Differential Network for Visual Question Generation
Badri N Patro, Sandeep Kumar, Vinod K Kurmi, Vinay P Namboodiri
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2018

webpage | pdf | abstract | bibtex | arXiv | code

@inproceedings{patro2018multimodal,
  title={Multimodal Differential Network
  for Visual Question Generation},
  author={Patro, Badri Narayana and Kumar,
  Sandeep and Kurmi, Vinod Kumar and Namboodiri, Vinay},
  booktitle={Proceedings of the 2018 Conference
  on Empirical Methods in Natural Language Processing},
  pages={4002--4012},
  year={2018}
}
sym

Learning Semantic Sentence Embeddings using Sequential Pair-wise Discriminator
Badri N Patro*,Vinod K Kurmi*, Sandeep K*, Vinay P Namboodiri (*equal contributions)
International Conference on Computational Linguistics (COLING), 2018

webpage | pdf | abstract | bibtex | arXiv | code

@inproceedings{patro2018learning,
  title={Learning Semantic Sentence Embeddings
  using Sequential Pair-wise Discriminator},
  author={Patro, Badri Narayana and Kurmi,
  Vinod Kumar and Kumar, Sandeep and
  Namboodiri, Vinay},
  booktitle={Proceedings of the 27th
  International Conference on Computational
  Linguistics},
  pages={2715--2729},
  year={2018}
}
sym

Robust hand gesture recognition from 3D data
Vinod K Kurmi, Garima Jain, Venkatesh K Subramanian
International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision(WSCG), 2015

pdf | abstract | bibtex | weblink | code | webpage | video

@article{kurmi2015robust,
  title={Robust hand gesture recognition
  from 3D data},
  author={Kurmi, Vinod K and Jain, Garima
  and Venkatesh, KS},
  year={2015},
  publisher={V{\'a}clav Skala-UNION Agency}
}
sym

A Human-Hand Detection System, Apparatus and A Method Thereof
Vinod K Kurmi, Garima Jain, Venkatesh K Subramanian
Indian Patent, 2016


  Selected Awards
  • Outstandng PhD Thesis Award (2021)
  • AI Post-Doc Net Fellow (2020-2021)
  • TCS Research Fellowship (2016-2019)
  • Qualcomm Innovation Fellowship 2019 Finalists (2019)
  • MHRD PhD Fellowship (2015-16)
  • Qualified for Junior Research Fellowship(JRF) of CSIR-NET(2014)
  • MHRD Post-Graduate Fellowship (2012-14)


Modified version of template from this, this, and this