Girish Varma

Center for Security, Theory & Algorithms Research (CSTAR) Machine Learning Lab (MLL) Kohli Center on Intelligent Systems (KCIS) IIIT Hyderabad

Hi!

I am an faculty at the Center for Security, Theory & Algorithms Research (CSTAR) and the Machine Learning Lab at IIIT Hyderabad, broadly interested in theoretical and applied computer science problems.

I did my Phd thesis on Computational Complexity theory (at TIFR Mumbai) and continues to have interest in Complexity theory, Combinatorics and Graph theory. Later I went on to do research (at IIIT Hyderabad) in Deep Learning, specifically Model Compression techniques and Semantic Segmentation for Autonomous Navigation. A summary of my research can be found here.

Teaching

All Courses

Jul, 2021

Complexity Theory I

A short 12 lecture course on Computability and Complexity Theory.

complexity-theory theory-cs

Jul, 2021

Maths for CS I: Probability and Statistics

A first course in probability and statistics with a focus on discrete spaces.

Apr, 2021

Linear Algebra II

An introduction to intermediate level topics in Linear Algebra by a series of questions and answers. All materials including videos, notes, assignments is provided here. The textbooks used are also openly available.

maths theory-cs

Jan, 2021

Markov Chain Monte Carlo: Theory, Applications and Interdisciplinary Problems

A project oriented course on theory and applications of MCMC techniques.

machine-learning theory-cs

Jan, 2020

Probabilistic Graphical Models

Probabilistic Graphical Models refers to i.) concise representations of probability distributions using graphs ii.) efficient algorithms for sampling distributions represented in such form iii.) learning these representations from data.

theory-cs machine-learning

Jul, 2019

Advanced Mathematical Structures

A broad set of intermediate and advanced level topics in Algebra, Combinatorics, Probability and Graph Theory.

mathematics theory-cs

Events & Talks

IDD Challenge at NCVPRIPG'19
Open for Submisions till 17th Dec, 2019.
Scene Understanding Challenge for Auto. Nav. in Unstructured Environments
Second International Workshop On Auto. Nav. in Unconstrained Environments
in Conjunction with ICCV 2019, November 2, 2019, Seoul.
Counting Objects under Symmetry: Pólya - Burnside Enumeration
Theory Seminars at IIIT Hyderabad. June 1, 2019
Semantic Segmentation: Recent Advances, Indian Datasets & Universal Segmentation Problems
Challenges and Advances in Vision-Based Self-Driving. Tutorial cohosted with Prof. Manmohan Chandrakar (UCSD)
at ICVGIP'18, Hyderabad. December, 2018.
IDD Dataset and Challenge
ICTAI Workshop on Unstructured Driving Scenarios in India
Intel Bangalore, November, 2018.
Scene Understanding Challenge for Auto. Nav. in Unstructured Environments
First International Workshop On Auto. Nav. in Unconstrained Environments in Conjunction with ECCV 2018, September 8, 2018, Munich.
3rd Summer School on Machine Learning | Computer Vision
IIIT Hyderabad, July, 2018.
Autorickshaw Detection Challlenge at NCVPRIPG’17
Tutorial on Computer Vision for Autonomous Navigation at NCVPRIPG’17
IIT Mandi, December, 2017.
2nd Summer School on Machine Learning | Computer Vision
IIIT Hyderabad, July, 2017.

Group

Past Students

Aditya Kallapa

computer-vision deep-learning machine-learning

Athreya Chandramouli

Dual Degree

theory-cs algorithms

Furqan Sheik

PhD

computer-vision deep-learning machine-learning

Garima Nishad

ml-for-opthalmology deep-learning machine-learning

Prateek Pani

computer-vision deep-learning machine-learning

Sandeep Kumar

computer-vision deep-learning machine-learning

Shantanu Das

Dual Degree

learning-theory theory-cs

Sumit Kumar Jha

Dual Degree

algorithms theory-cs

Research Areas

Selected Publications

All Publications Google Scholar

Aug, 2021 | PReMI'21

Automated Seed Quality Testing System using GAN & Active Learning

Sandeep Nagar, Prateek Pani, Raj Nair, Girish Varma
9th International Conference on Pattern Recognition and Machine Intelligence 2021

ml-for-agriculture computer-vision deep-learning machine-learning

Jun, 2021 | TPM Workshop at UAI'21

CInC Flow: Characterizable Invertible 3x3 Convolution

Sandeep Nagar, Marius Dufraisse, Girish Varma
4th Workshop on Tractable Probabilistic Modeling, (UAI) 2021

bibtex arXiv pdf poster code

machine-learning computer-vision

Apr, 2021 | Concurrency Computat Pract Exper. 2021

Ramanujan Bipartite Graph Products for Efficient Block Sparse Neural Networks

Dharma Teja Vooturi, Girish Varma, Kishore Kothapalli
Concurrency & Computation: Practice & Experience, 2021

bibtex arXiv pdf

model-compression computer-vision deep-learning machine-learning

Feb, 2021 | UAI'21

Generalized Parametric Path Problems

Prerona Chatterjee, Kshitij Gajjar, Jaikumar Radhakrishnan, Girish Varma
37th Conference on Uncertainty in Artificial Intelligence (UAI) 2021

bibtex arXiv slides poster

algorithms theory-cs

May, 2020 | Phys. Chem. Chem. Phys., 2020.

Deep Learning Enabled Inorganic Material Generator

Yashaswi Pathak, Karandeep Singh Juneja, Girish Varma, Masahiro Ehara, U. Deva Priyakumar
Phys. Chem. Chem. Phys., 2020,22, 26935-26943

bibtex pdf

ml-for-science generative-models deep-learning machine-learning

May, 2020 | ARVO Annual Meeting

Using Artificial Intelligence (AI) to Classify Retinal Developmental Disorders

Helen Kuht, Shuihua Wang, Garima Nishad, Sharon George, Gail Maconachie, Viral Sheth, Zhanhan Tu, Michael Hisaund, Rebecca McLean, Seema Teli, Frank Proudlock, Girish Varma, Yu-Dong Zhang, Irene Gottlob, Mervyn George Thomas
Investigative Ophthalmology & Visual Science

pdf

ml-for-opthalmology deep-learning machine-learning

Oct, 2019 | NCVPRIPG'19

Semantic Segmentation Datasets for Resource Constrained Training

Ashutosh Mishra*, Sudhir Kumar*, Tarun Kalluri*, Girish Varma, Anbumani Subramanian, Manmohan Chandrakar, C V Jawahar
7th National Conference on Computer Vision, Pattern Recognition, Image Processing and Graphics (NCVPRIPG 2019)

pdf

model-compression computer-vision semantic-segmentation machine-learning

Aug, 2019 | ICCVW'19

Dynamic Block Sparse Reparametarization of Convolutional Neural Networks

Dharma Teja Vooturi, Girish Varma, Kishore Kothapalli
4th International Workshop on Compact and Efficient Feature Representation and Learning in Computer Vision, ICCV 2019

bibtex pdf poster code

model-compression computer-vision deep-learning machine-learning

Nov, 2018 | ICCV'19

Universal Semi-supervised Semantic Segmentation

Tarun Kalluri, Girish Varma, Manmohan Chandraker, C V Jawahar
International Conference on Computer Vision

bibtex arXiv pdf slides poster code

autonomous-navigation semantic-segmentation computer-vision deep-learning machine-learning

Oct, 2018 | WACV'19

IDD: A Dataset for exploring problems in Autonomous Navigation in Unconstrained Environments

Girish Varma, Anbumani Subramanian, Anoop Namboodiri, Manmohan Chandraker, C V Jawahar
IEEE Winter Conference on Applications of Computer Vision

bibtex arXiv slides poster code dataset video

autonomous-navigation semantic-segmentation computer-vision

Jul, 2018 | ECCV'18

Deep Expander Networks: Efficient Deep Networks from Graph Theory

Ameya Prabhu, Girish Varma, Anoop Namboodiri
Oral Presentation
European Conference on Computer Vision

bibtex arXiv slides poster code video

model-compression computer-vision deep-learning

Jul, 2018 | BMVC'18

Improved Visual Relocalization by Discovering Anchor Points

Soham Saha, Girish Varma, C V Jawahar
Spotlight Presentation
British Machine Vision Conference

bibtex arXiv pdf slides poster code

autonomous-navigation localization computer-vision deep-learning

May, 2018 | IROS'18

Cityscale Road Audit System using Deep Learning

Sudhir Kumar Reddy, Girish Varma, C V Jawahar
JTCF Novel Technology paper award Finalist
International Conference on Intelligent Robots

bibtex arXiv slides poster code dataset video

transportation semantic-segmentation deep-learning computer-vision

Jan, 2016 | Phd Thesis at TIFR, Mumbai

Hardness of Approximate Coloring

Phd Thesis advised by Prof. Prahlad Harsha
Supported by Google India Phd Fellowship in Algorithms
Tata Institute of Fundamental Research, Mumbai.

pdf slides poster

hardness-of-approximation probabilistically-checkable-proofs complexity-theory

Dec, 2015 | CCC'15 | ToC

A Characterization of Hard-to-cover CSPs

Amey Bhangale, Prahladh Harsha, Girish Varma
Theory of Computing Journal (ToC)
Computational Complexity Conference (CCC)

paper slides

hardness-of-approximation probabilistically-checkable-proofs complexity-theory

Sep, 2015 | SICOMP | STOC'15

Super-polylogarithmic hypergraph coloring hardness via low-degree long codes

Venkat Guruswami, Prahladh Harsha, Johan Hastad, Srikanth Srinivasan, Girish Varma
SIAM Journal on Computing (SICOMP)
Sym. of Theory of Computing (STOC)

arXiv pdf slides

hardness-of-approximation complexity-theory

Sep, 2012 | JTB'12 | SODA'11

Physarum Can Compute Shortest Paths

Vincenzo Bonifaci, Kurt Mehlhorn, Girish Varma
Journal of Theoretical Biology
Symp. of Discrete Algorithms

arXiv paper

physarum-computer graph-theory algorithms

Contact

Email: firstname [dot] lastname [at] iiit.ac.in

Phone: 1212 (prefix for external +91-40-6653)

Address: Rm: A3-118, Vindya A2, Center for Security, Theory and Algorithms Research, IIIT Hyderabad

Girish Varma

Hi!

Teaching

Events & Talks

Group

Research Areas

Tags

Selected Publications

Contact