Speakers
S P Arun
IISc Bangalore
Narendra Ahuja
UIUC/ITRA
Karteek Alahari
Inria, Grenoble, France
Chetan Arora
IIIT Delhi
Venkatesh Babu
IISc Bangalore
Vineeth Balasubramanian
IIT, Hyderabad
Arijit Biswas
Amazon
Soma Biswas
IISc Bangalore
Manmohan Chandraker
University of California San Diego
Soumith Chintala
Facebook AI Research
Sujit P. Gujar
IIIT, Hyderabad
Vineet Gandhi
IIIT Hyderabad
C V Jawahar
IIIT, Hyderabad
Harish Katti
IISc Bangalore
Tejas Kulkarni
Google Deepmind
Mitesh Khapra
IIT Madras
Pramod Sankar Kompalli
OLA
Dhruv Mahajan
Yahoo Research
Kaushik Mitra
IIT Madras
Vinay Namboodiri
IIT, Kanpur
P J Narayanan
IIIT Hyderabad
Anoop M Namboodiri
IIIT Hyderabad
Balaraman Ravindran
IIT Madras
Vikas Raykar
IBM Bangalore
Piyush Rai
IIT Kanpur
Ganesh Ramakrishnan
IIT Bombay
Sudipta Sinha
Microsoft Research
Gaurav Sharma
IIT Kanpur
Avinash Sharma
IIIT Hyderabad
Ravi Kiran Sarvadevabhatla
IIIT Hyderabad
Partha Pratim Talukdar
IISc Bangalore
Girish Varma
IIIT Hyderabad
Pulkit Agrawal
University of California Berkeley
Arjun Jain
IIT Bombay
Manohar Paluri
Facebook AI
Amit Sethi
IIT Bombay
Debdoot Sheet
IIT Kharagpur
Puneet Kumar Dokania
University of Oxford
Ponnurangam Kumaraguru
IITT Delhi
Pratik Jawanpuria
Microsoft
Mausam
IIT Delhi
Bamdev Mishra
Microsoft
Marçal Rusiñol
Universitat Autònoma de BarcelonaEvents
Summer School on Deep Learning for Computer Vision
Deep learning has resulted in the best solutions for many challenging computer vision problems in recent years. The summer school on "Deep Learning for Computer Vision" at IIIT Hyderabad aims to keep the pace with the rapid growth in this field, and expose the advances to the researchers and students. Summer school will focus on foundations, recent advances and the practical aspects of using deep learning for a variety of computer vision problems.
Summer School on Computer Vision: Recent Advances in Computer Vision
The summer school curriculum roughly consists of a series of lectures and demo/labs sessions designed to work in tandem to help you make the most out of the program. Experts in the field will deliver talks to share their views and works with the attendees and you are more than welcome to interact and discuss ideas with the speakers. It will also be a good platform to bounce ideas amongst other like-minded enthusiasts. This time we aim to have a special focus on the recent advances in the area.
Summer School on Machine Learning: Deep Learning
The ML summer school is slightly theoretical in nature but sufficient practical exercises would be covered to enable a better understanding of the theoretical track. Primary theme for this year’s summer school is chosen to be Deep Learning, seeing the recent trends of its rise. Experts in the field will deliver talks to share their views and works with the attendees and you are more than welcome to interact and discuss ideas with the speakers. It will also be a good platform to bounce ideas amongst other like-minded enthusiasts. The primary focus of the summer school this time would be on the more recent advancements in the field of Deep Learning.
3rd summer school on computer vision : Basics Of Modern AI
Computer Vision is a rapidly evolving field with its applications being steadily integrated into our day to day lives. The field has received a wide interest from various stakeholders ranging from theoretical researchers, application designers and developers and even business entities. In continutian of our previous summer school's, this year's theme is "Basics of Modern AI".
3rd summer school on machine learning : Advances In Modern AI
Machine Learning finds application in areas as diverse as neuroscience, biomedical informatics, drug discovery, speech recognition, language processing, computer vision, recommender systems, learning theory, robotics and games. In continutian to our previous series to summer school's, this year's theme is "Advances In Modern AI".
4th summer school on computer vision
Computer Vision is a rapidly evolving field with its applications being steadily integrated into our day to day lives. The field has received a wide interest from various stakeholders ranging from theoretical researchers, application designers and developers and even business entities. In continutian of our previous summer school's, this year's theme is "Computer Vision".
4th summer school on machine learning
Machine Learning finds application in areas as diverse as neuroscience, biomedical informatics, drug discovery, speech recognition, language processing, computer vision, recommender systems, learning theory, robotics and games. In continutian to our previous series to summer school's, this year's theme is "Machine Learning".