team

Rajagopalan AN

Professor

Ph.D  degree in Electrical Engineering from the Indian Institute of Technology, Bombay in July 1998

M. Tech.  degree in Electronic Engineering from Nagpur University, Nagpur

B.E.  degree in Electronic Engineering from Nagpur University, Nagpur

044-2257 4433

raju@ee.iitm.ac.in

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  • Dr. A.N. Rajagopalan received the B.E. and the M. Tech. degrees in Electronic Engineering from Nagpur University, Nagpur, and the Ph.D degree in Electrical Engineering from the Indian Institute of Technology, Bombay in July 1998.
  • During the summer of 1998, he was a visiting scientist at the Image Communication Lab, University of Erlangen, Germany. He joined the Center for Automation Research, University of Maryland in October 1998 and was a research faculty till September 2000. He joined the Department of Electrical Engineering, IIT Madras as Assistant Professor in October 2000 and currently serves as Institute Chair Professor.
  • His recent research interests include deep learning, machine learning, image restoration for deblurring, superresolution, inpainting and dehazing, 3D structure from blur, light field imaging, underwater imaging, image forensics, and multimodal learning.
  • He is co-author of the book "Depth from defocus: A real aperture imaging approach", published by Springer-Verlag, New York in March 1999. He co-edited along with Prof. Rama Chellappa of University of Maryland, the book "Motion deblurring: Algorithms and systems" published by Cambridge University Press in 2014. He is a Fellow of the Alexander von Humboldt Foundation, Germany, a Fellow of the Indian National Academy of Engineering, and Fellow of the Institution of Electronics and Telecommunication Engineers India (by invitation).
  • He served as Associate Editor of IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI) from 2007 to 2011, Associate Editor of IEEE Transactions on Image Processing (TIP) from 2012 to 2016, and is serving as Senior Area Editor for IEEE Transactions on Image Processing since 2016. He was Area Chair for CVPR 2012, 2022 and ICPR 2012, Program Co-chair for ICVGIP 2010, and General Chair for NCVPRIPG 2017 and 2019. He is a recipient of the DAE-SRC Outstanding Investigator award in 2012, the VASVIK award in 2013, the Mid-Career Research & Development award from IIT Madras in 2014, Google India AI/ML Research award for faculty in 2018, and Qualcomm Faculty award in 2022.

  • Deep Learning for Image Restoration.
  • Image Deblurring Dehazing, and Super-resolution.
  • Rolling-shutter Cameras .
  • Face Recognition.
  • Motion Segmentation.
  • Compressed Imaging.
  • Underwater Imaging.
  • Depth Estimation using Hand-held Camera.
  • Image Forensics Aerial Imaging.
  • Depth from Motion Blur.
  • Image and Video Matting.
  • 3D Geometry Inpainting.
  • HDR Imaging and image Mosaicing.

  • Aakanksha, A N Rajagopalan, Improving Robustness of Semantic Segmentation to Motion-Blur using Class-Centric Augmentation, IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Vancouver, Canada, June 2023.
  • Snehal Singh Tomar, Maitreya Suin, A N Rajagopalan (2023) Exploring the Effectiveness of Mask-Guided Feature Modulation as a Mechanism for Localized Style Editing of Real Images (Student Abstract) Proceedings of the Thirty Seventh AAAI Conference on Artificial Intelligence.
  • Nisha Varghese, A N Rajagopalan, Real-time multiple point target detection and tracking in infrared imagery In Indian Conference on Computer Vision, Graphics and Image Processing (ICVGIP) 2022.
  • Snehal Singh Tomar, Maitreya Suin, and A N Rajagopalan, Hybrid Transformer based Feature Fusion for Self-Supervised Monocular Depth Estimation. Advances in Image Manipulation Workshop, European Conference on Computer Vision Workshops (ECCVW), Tel-Aviv, Israel, October 2022.
  • Snehal Singh Tomar, A N Rajagopalan Latents2Segments: Disentangling the Latent Space of Generative Models for Semantic Segmentation of Face Images, IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshop on Computer Vision for Augmented and Virtual Reality, New Orleans, LA, USA, 2022.
  • Kranthi Kumar Rachavarapu, Aakanksha, Vignesh Sundaresha, A N Rajagopalan, Localize to Binauralize: Audio Spatialization from Visual Sound Source Localization, IEEE International Conference on Computer Vision (ICCV), Virtual, October 2021.
  • Maitreya Suin, Kuldeep Purohit, A N Rajagopalan, Distillation-guided Image Inpainting, IEEE International Conference on Computer Vision (ICCV), Virtual, October 2021.
  • Kuldeep Purohit, Maitreya Suin, A N Rajagopalan, Vishnu Boddeti, Spatially-Adaptive Image Restoration using Distortion-Guided Networks, IEEE International Conference on Computer Vision (ICCV), Virtual, October 2021.
  • Maitreya Suin, A N Rajagopalan, Gated Spatio-Temporal Attention-Guided Video Deblurring, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Virtual, USA, June 2021.
  • Saurabh Goswami, Aakanksha and A N Rajagopalan, Robust Super-Resolution of Real Faces using Smooth Features, Workshop on Adversarial Robustness in the Real World, European Conference on Computer Vision Workshops (ECCV W), Glasgow, Scotland, August 2020.
  • Priyatham Kattakinda and A N Rajagopalan, Unpaired Image Denoising, IEEE International Conference on Image Processing (ICIP), Virtual, UAE, October 2020.
  • Maitreya Suin*, Kuldeep Purohit* and A N Rajagopalan, Spatially-Attentive Patch-Hierarchical Network for Adaptive Motion Deblurring, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Virtual, USA, June 2020.
  • Maitreya Suin and A N Rajagopalan, An Efficient Framework for Dense Video Captioning, AAAI Conference on Artificial Intelligence (AAAI), New York, USA, February 2020.
  • Kuldeep Purohit and A N Rajagopalan, Region-Adaptive Dense Network for Efficient Motion Deblurring, AAAI Conference on Artificial Intelligence (AAAI), New York, USA, February 2020.
  • Kuldeep Purohit, Maitreya Suin, Praveen Kandula, and A N Rajagopalan, Depth-Guided Dense Dynamic FIltering Network for Bokeh Effect Rendering, Advances in Image Manipulation Workshop, IEEE International Conference on Computer Vision Workshops (ICCV W), Seoul, Korea, November 2019.

Books Authored

  • A N Rajagopalan and Rama Chellappa (Eds), Motion deblurring: Algorithms and systems, Cambridge University Press, Cambridge, 2014.
  • Krishna Sivalingam, Srikrishna Bhashyam and A N Rajagopalan (Eds), Proceedings of the Sixteenth National Conference on Communication, IEEE Xplore, 2010.
  • A N Rajagopalan, P J Narayanan and Phil Torr (Eds ), Proceedings of the Seventh Indian Conference on Computer Vision, Graphics and Image Processing, ACM Digital Library, 2010.
  • Sharat Chandran, P J Narayanan, and A N Rajagopalan, Guest Editors, The Visual Computer, Dec 2011 (Special issue on best papers from ICVGIP 2010).
  • S Chaudhuri and A N Rajagopalan, Depth from defocus: A real aperture imaging approach, Springer, New York, 1999.
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