Alexander Grothendieck (28 March 1928 – 13 Nov 2014)
Starting from scratch is always an option!
Starting from scratch is always an option!
From the ashes we shall rise!
Always right there in the trenches until death do us part!
Published in Journal 1, 2009
This paper is about the number 1. The number 2 is left for future work.
Recommended citation: Your Name, You. (2009). "Paper Title Number 1." Journal 1. 1(1). http://academicpages.github.io/files/paper1.pdf
Published in Journal 2, 2009
This paper is about the number 1. The number 2 is left for future work.
Recommended citation: Your Name, You. (2009). "Paper Title Number 1." Journal 1. 1(1). http://academicpages.github.io/files/paper2.pdf
Published in Journal 1, 2010
This paper is about the number 2. The number 3 is left for future work.
Recommended citation: Your Name, You. (2010). "Paper Title Number 2." Journal 1. 1(2). http://academicpages.github.io/files/paper2.pdf
Published in Journal 1, 2015
Paper Supplementary BibtexLorem ipsum dolor sit amet. [button url=”http://www.google.com”]
Recommended citation: Your4 Name, You. (2015). "Paper Title Number 3." Journal 1. 1(3). http://academicpages.github.io/files/paper3.pdf
Published:
This is an industry collaboration talk given to a Research Team from KLA-Tencor. Here, we presented the concepts of photometric stereo, to think of and discuss ways to extend these ideas for their Scanning Electron Microscopes. [Slides]
Published:
This talk in NCVPRIPG 2017, headed by Prof. A. N. Rajagopalan, covers multiples works from our lab involving RS Camera. Here, I presented our ICCV 2017 work Going Unconstrained with RS Deblurring! [Slides]
Published:
Here, we presented our light field
work from CVPR 2018! The objective of this session (i.e., Vision India
@ ICVGIP 2018) is to motivate Indian researchers (especially disadvantaged) to publish in top-tier venues. [Slides] [Poster]
Published:
This is the presentation of our work Unconstrained Motion Deblurring for Dual-lens Cameras
in ICCV-2019. [Slides]
Published:
This is the presentation of my Ph.D. work done under the guidance of Prof. A. N. Rajagopalan, for which I am awarded a Doctorate from IIT Madras. [Slides]
Deep Learning
Lab Talk, IIT Madras, EE Dept., 2015
This Lecture Series started at a time when Deep Learning
was taking off, and it aims to explain the (then) emerging field of Deep Learning for the (then) members of Image Processing and Computer Vision Lab and Computational Imaging Lab, headed by Prof. A. N. Rajagopalan and Prof. Kaushik Mitra, respectively.
Here, the first lecture introduces Deep Learning (L1), later, followed by a doubt-clearing session (L1.1). Lecture 2 covers Convolutional Neural Network (L2), and Lecture 3 provides a mathematical interpretation of Deep Learning; O Lost! This series is concluded with Lecture 4, which discusses several Deep Learning approaches for Image Processing. [Slides-L1] [Slides-L1.1] [Slides-L2] [Slides-L3] [Slides-L4]
Graduate Course, IIT Madras, EE Dept., 2017
When Deep Learning course
was first introduced in IITM, EE Dept. by Prof. A. N. Rajagopalan and Prof. Kaushik Mitra, I (along with Prof. A. N. Rajagopalan) prepared course contents and presentations for Convolutional Neural Network
. [Slides]
the bestDeep Learning course-project
Graduate Course (Deep Learning), IITM, EE Dept., 2017
Here, I proposed a problem statement Efficient Sketch Classification for Resource-constrained platforms
, and designed a research plan for the same. Undergrads Akshit Kumar and Sachin Agrawal joined with me and finally got recognition for the best Deep Learning course-project. Presently, both the students are continuing research in Deep Learning; the former is a Master's student at the University of Michigan, US, and the latter is a Data Scientist at Daimler, Germany. [Slides]
Funded Project, IITM, EE Dept., 2018
Lots of accidents happen while exiting a vehicle from its side doors, for it is difficult to ensure whether another vehicle(s) are coming from behind and how fast it is. This project attempts to solve this issue; project associate Madumithra Krishnamoorthy was incharge. Together, we employ a side view camera and propose a deployable algorithm using image processing techniques to address this. Later, she joined as a graduate research student in image processing. [Demo]
Traditional Image Processingand
Deep Learning based Motion Deblurring
Graduate Course, IIT Madras, EE Dept., 2019
As a part of the Deep Learning Course
offered by Prof. A. N. Rajagopalan and Prof. Kaushik Mitra, the first lecture (L1) aims to equip students from different branches to understand the basics of Image Processing, and the second lecture (L2) provides an overview of the Deep Learning solutions for the problem of Motion Deblurring. [Slides-L1] [Slides-L2]
Image Mosaicingfor Image Signal Processing Course
Graduate Course, IIT Madras, EE Dept., 2019
As a part of the Image Signal Processing Course offered by Prof. A. N. Rajagopalan, this lecture aims to make students understand the fundamentals of Image Mosaicing (i.e., the task of stitching images to create a panorama), and equip them to implement the same as an assignment. [Slides]
ICCV-19 Oral
Undergrad Thesis, IIT Madras, EE Dept., 2019
Here, we identified a problem statement Motion Deblurring for Dual-lens Camera
, and designed a research plan for the same. Undergrad Sharath Girish joined with me for implementation, which finally led to an ICCV-19 Oral paper (4.3% acceptance rate). Later, Sharath Girish joined for Ph.D. under Prof. Rama Chellappa, University of Maryland, US.
IEEE Transactions on Image Processing
Undergrad Thesis, IIT Madras, EE Dept., 2020
Here, we identified a problem statement Deep Learning based models for Dual-lens Camera
, and designed a research plan for the same. Undergrad Nithin G K joined with me for implementation, which finally led to a TIP paper. Later, Nithin G. K. joined for Ph.D. under Prof. Vishal Patel, John Hopkins University, US.
AI42001
Teaching, IIT Kharagpur, Centre of Excellence in AI, 2024
Materials: Google Drive Folder