Image Processing
and
Computer Vision
(IPCV) Lab

IPCV Logo

Announcements!

  1. March 2025 Two papers have been accepted at CVPR 2025.
  2. March 2025 Aakanksha has been selected as a Women Leading IITM (WLI) 2025 awardee.
  3. December 2024 Prof. A. N. Rajagopalan has been elected as Fellow of the Asia-Pacific Artificial Intelligence Association (AAIA).
  4. December 2024 Nisha Varghese is recognized as the top reviewer for NeurIPS 2024.
  5. February 2024 Best Paper Award: For Bhargav Dodla, Kartik Hegde and A. N. Rajagopalan, at AAAI Workshop AIBSD, 2024.

About Us

Prof. A.N. Rajagopalan heads the Image Processing and Computer Vision (IPCV) lab which he founded in 2002. The lab is housed in Room ESB 320 in the Department of Electrical Engineering, IIT Madras. IPCV lab is actively involved in investigating cutting-edge research problems that are of contemporary relevance to the computer vision community. The current areas of research being pursued in the lab include multimodal deep learning, 3D recovery and novel view synthesis, image restoration, underwater imaging, computer vision for sports, and augmented and virtual reality. The members of the lab mainly comprise of students pursuing Ph.D, MS, and Dual-Degree. The lab has a vibrant research culture and students regularly publish their research works in top venues including A-star conferences such as CVPR, ICCV, ECCV, and AAAI, and highly reputed journals such as TPAMI, TIP, IJCV, TMM and JOSA. The lab also actively collaborates with industries and international universities. IPCV lab students are very well-placed in both industry and academia.

Professor's Message

Research Areas
  1. Generative Models
  2. 3D Computer Vision
  3. NeRF and Gaussian Splatting for Degraded Images
  4. Mutlimodal Learning (Audio, Text, Image)
  5. Image/Video Restoration
  6. Computer Vision for Sports
  7. Underwater Image and depth estimation
  8. Style editing on face images
  9. Image Segmentation
  10. Image Augmentation
  11. Image Inpainting
  12. Rolling-shutter Cameras

Student Experiences

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