Sk Miraj Ahmed

I am a PhD candidate at the Video Computing Group of the University of California, Riverside under the guidance of Dr. Amit K. Roy-Chowdhury. My current research revolves around Source-Free Unsupervised Domain Adaptation and its diverse applications in computer vision. Additionally, my research experience extends to various areas, including Multimodal learning and Test-Time Adaptation. At present, I am actively exploring the area of Privacy in Machine Learning models as part of my ongoing research. During PhD, I was very fortunate to have interned at Mitsubishi Electric Research Laboratories .

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Updates

  October 2023: One paper accepted at WACV 2024!

  July 2023: One paper accepted at ICCV 2023!

  July 2022: One paper accepted at ECCV 2022 (Oral)!

  June 2021: Joined MERL as a summer intern!

  February 2021: One paper accepted at CVPR 2021 (Oral)!

  February 2020: One paper accepted at CVPR 2020 !

Accepted Publications

Effective Restoration of Source Knowledge in Continual Test Time Adaptation
Fahim Faisal Niloy, Sk Miraj Ahmed , Dripta S. Raychaudhuri, Samet Oymak and Amit K. Roy-Chowdhury
IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2024
SUMMIT: Source-Free Adaptation of Uni-Modal Models to Multi-Modal Targets
Cody Simons, Dripta S. Raychaudhuri,Sk Miraj Ahmed , Suya You, Konstantinos Karydis and Amit K. Roy-Chowdhury
Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), 2023
Source distribution weighted multisource domain adaptation without access to source data
Sk Miraj Ahmed, Dripta S. Raychaudhuri, Samet Oymak and Amit K. Roy-Chowdhury
Deep Learning 48, 81, 2023
Cross-Modal Knowledge Transfer Without Task-Relevant Source Data
Sk Miraj Ahmed, Suhas Lohit, Kuan-Chuan Peng, Michael J. Jones and Amit K. Roy-Chowdhury
(* equal contribution)
European Conference on Computer Vision (ECCV), 2022 (Oral)
Unsupervised Multi-source Domain Adaptation Without Access to Source Data
Sk Miraj Ahmed*, Dripta S. Raychaudhuri*, Sujoy Paul*, Samet Oymak and Amit K. Roy-Chowdhury
* equal contribution
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021 (Oral)
Camera on-boarding for person re-identification using hypothesis transfer learning
Sk Miraj Ahmed, Aske R. Lejbolle, Rameswar Panda and Amit K. Roy-Chowdhury
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020
Least-squares registration of point sets over SE (d) using closed-form projections
Sk. Miraj Ahmed Niladri R. Das and Kunal N. Chaudhury
Computer Vision and Image Understanding (CVIU), 2019
Global multiview registration using non-convex ADMM
Sk Miraj Ahmed, and Kunal N. Chaudhury
International Conference on Image Processing (ICIP), 2017
A scalable ADMM algorithm for rigid registration
Rajat Sanyal, Sk Miraj Ahmed, M jaiswal and Kunal N. Chaudhury
IEEE Signal Processing Letters (SPL), 2017

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