Vinod K Kurmi
Email: vinodkk@iiserb.ac.in, vinodkumarkurmi@gmail.com

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

Brief Bio: Before joining IISER Bhopal, I was 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 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 M.Tech in 2014 from EE, Indian Institute of Technology Kanpur under the supervision of Prof. K. S. Venkatesh, where I worked on Human Gesture Reconnition system. I graduated in 2012 from SGSITS Indore.

Research: My research areas are related to Computer Vision (CV), Deep Learning (DL) and Machine Learning (ML). Currently, I am working on projects related to NLP and speech processing. I am interested in working in fairness and multi-modal alignment problems.


I am currently looking for motivated researcher with a keen interest in Computer vision, Machine learning and Deep learning. Interested inside or outside of IISER Bhopal can mail their CV to me highlighting their areas of interest and/or experience.

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

Junior Research Fellow/Project Associates Vacancy: [Details]
  News
  • Our work on 'Audio Keyword Spotting' has been accepted at InterSpeech-22.
  • Invited talk on "Diaster Management using CV" at Digital University Kerala.
  • Joined as an assistant professor in DSE, IISER Bhopal
  • Received "Outstanding PhD Thesis Award" from IIT Kanpur.
  • Our work on 'Bias-free learning' has been accepted at AAAI-22.
  • Our work on 'Context learning-based 3D face generation' has been accepted at WACV-22.
  • ICCV 2021 Doctoral Consortium.
  • ---- show more ----

  Publications
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)


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