Fahim Faisal Niloy
I am a third year PhD Student at the Video Computing Group of University of California, Riverside. I am supervised by Dr. Amit K. Roy-Chowdhury. My PhD research focuses on efficient training of large AI models, with particular emphasis on parameter efficient tuning, test-time adaptation, and optimizing deployment on edge devices.
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"Everything has its wonders, even darkness and silence, and I learn, whatever state I may be in, therein to be content." - Helen Keller
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Updates
  September 2024: Paper accepted at NeurIPS 2024
  August 2024: Paper accepted at ICPR 2024
  Jan 2024: Paper accepted at PAKDD 2024 (Oral)
  Dec 2023: Paper accepted at ICASSP 2024
  Nov 2023: Poster accepted at ACM SAC
  Oct 2023: Paper accepted at WACV 2024
  Jul 2023: Serving as a reviewer for TPAMI (IF: 23.6)
  Jun 2023: Paper accepted at ICIP 2023
  Sep 2022: Started PhD at UCR
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CONTRAST: Continual Multi-source Adaptation to Dynamic Distributions
Sk Miraj Ahmed*, Fahim Faisal Niloy*, Xiangyu Chang, Dripta S. Raychaudhuri, Samet Oymak and Amit K. Roy-Chowdhury
The Thirty-eighth Annual Conference on Neural Information Processing Systems (NeurIPS), 2024
*equal contribution
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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
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Source-Free Online Domain Adaptive Semantic Segmentation of Satellite Images under Image Degradation
Fahim Faisal Niloy, Kishor Kumar Bhaumik, Simon S. Woo
IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2024
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SSMT: Few-Shot Traffic Forecasting with Single Source Meta-Transfer
Kishor Kumar Bhaumik, Minha Kim, Fahim Faisal Niloy, Amin Ahsan Ali, Simon S. Woo
International Conference on Pattern Recognition (ICPR), 2024
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STLGRU: Spatio-Temporal Lightweight Graph GRU for Traffic Flow Prediction
Kishor Kumar Bhaumik, Fahim Faisal Niloy, Saif Mahmud, Simon S. Woo
Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), 2024 (Oral)
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CFL-Net: Image Forgery Localization Using Contrastive Learning
Fahim Faisal Niloy, Kishor Kumar Bhaumik, Simon S. Woo
IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2023
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HRFNet: High-Resolution Forgery Network for Localizing Satellite Image Manipulation
Fahim Faisal Niloy, Kishor Kumar Bhaumik, Simon S. Woo
IEEE International Conference on Image Processing (ICIP), 2023
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Attention Toward Neighbors: A Context Aware Framework For High Resolution Image Segmentation
Fahim Faisal Niloy, M. Ashraful Amin, Amin Ahsan Ali, AKM Mahbubur Rahman
IEEE International Conference on Image Processing (ICIP), 2021
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A Novel Disaster Image Data-set and Characteristics Analysis using Attention Model
Fahim Faisal Niloy, Abu Bakar Siddik Nayem, Anis Sarker, Ovi Paul, M Ashraful Amin, Amin Ahsan Ali, Moinul Islam Zaber, AKM Mahbubur Rahman
International Conference on Pattern Recognition (ICPR), 2020
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