Nikhil Akalwadi

I am Research Assistant at KLETech Center of Excellence in Visual Intelligence (CEVI) advised by Prof. Uma Mudenagudi and Ramesh Ashok Tabib where I work on development of computer vision algorithms in areas like Low-Level Vision Systems, Underwater Image Restoration and Enhancement.

I completed my Bachelors in Electronics and Communication from KLE Technological University, Hubballi. I majorly worked on Low-Level Vision Systems and published in the area, advised by Prof Uma Mudenagudi, Prof. Ujwala Patil and Ramesh Ashok Tabib.

Research Interests

My primary research area is Computer Vision (Underwater Image Restoration and Enhancement, Low-Level Vision, Multispectral Image Analysis).

Recent Updates !!!

• May 2024: KLETech Center of Excellence in Visual Intelligence is Co-Organizing the 3D Vision Summer School @ IIIT Bangalore . I will be part of Volunteering Team for this event!!
• April 2024: arXiv Pre-Print Published titled NTIRE 2024 challenge on low light image enhancement: Methods and results @ NTIRE Challenges, CVPR 2024 (View Publication here)
• April 2024: arXiv Pre-Print Published titled The Ninth NTIRE 2024 Efficient Super-Resolution Challenge Report @ NTIRE Challenges, CVPR 2024 (View Publication here)
• April 2024: arXiv Pre-Print Published titled NTIRE 2024 Challenge on Image Super-Resolution (4): Methods and Results @ NTIRE Challenges, CVPR 2024 (View Publication here)
• April 2024: Our work on Image denoising got Accepted in PBVS Workshop @ CVPR 2024 with paper title HNN: Hierarchical Noise-Deinterlace Net Towards Image Denoising.
• April 2024: Our work on Low-Light Image Enhancement got Accepted in as Poster @ WiCV Workshop, CVPR 2024 with paper title ViD: Vision in Dark.
• December 2023: Our work on Flare Detection and Removal in Images is now Published in PReMI 2023 with paper title DeFlare-Net: Flare Detection and Removal Network. (View Publication here)
• June 2023: Our work on Flare Detection and Removal in Images got Accepted in PReMI 2023 with paper title DeFlare-Net: Flare Detection and Removal Network.
• October 2023: Our work on Low-Light Image Enhancement got Accepted in WiCV Workshop @ ICCV 2023 with paper title LightNet: Generative Model for Enhancement of Low-Light Images.
• March 2023: We achieved 8th rank globally in MIPI Challenge @ CVPR 2023.
• July 2023: We published a joint report on flare detection and removal in MIPI Challenge @ CVPR 2023 with report title MIPI 2023 Challenge on Nighttime Flare Removal: Methods and Results.

Selected Works

LightNet: Generative Model for Enhancement of Low-Light Images
Chaitra Desai, Nikhil Akalwadi, Amogh Joshi, Sampada Malagi, Chinmayee Mandi, Ramesh Ashok Tabib, Ujwala Patil, Uma Mudenagudi
Women in Computer Vision (WiCV), ICCVW 2023 (Oral).
Project Page / Poster PDF / BibTex

MIPI 2023 Challenge on Nighttime Flare Removal: Methods and Results
..., Nikhil Akalwadi, Ankit Raichur, Vinod Patil, Allabakash G, Swaroop A, Amogh Joshi, Chaitra Desai, Ramesh Ashok Tabib, Ujwala Patil, Uma Mudenagudi, ...
Mobile Intelligent Photography & Imaging (MIPI), CVPR 2023.
Project Page / arXiv / BibTex

DeFlare-Net: Flare Detection and Removal Network
Allabakash Ghodesawar, Vinod Patil, Ankit Raichur, Swaroop Adrashyappanamath, Sampada Malagi, Nikhil Akalwadi, Chaitra Desai, Ramesh Ashok Tabib, Ujwala Patil & Uma Mudenagudi
Pattern Recognition and Marchine Intelligence PReMI 2023 (Oral)
Project Page / Video / BibTex

NTIRE 2022 Challenge on Night Photography Rendering
..., Chaitra Desai, Nikhil Akalwadi, Amogh Joshi, Chinmayee Mandi, Sampada Malagi, Akash Uppin, Sai Sudheer Reddy, Ramesh Ashok Tabib, Ujwala Patil, Uma Mudenagudi
New Trends in Image Restoration and Enhancement (NTIRE), CVPR 2022
Project Page / BibTex