Our group’s research interests lie at the intersection of the theory and application of machine learning - with a focus on applications in computer vision. With a strong interest in the mathematical fundamentals and a passion for real-world application, our group aims on being at the forefront of the field, by carrying out impactful research in the areas of deep learning, machine learning and computer vision, guided by application contexts derived from real-world use.
Keywords: Deep Learning, Machine Learning, Computer Vision, Optimization, Agriculture, Autonomous Navigation
We are also broadly interested in the theoretical understanding of deep learning, and making deep neural networks faster (to train and test), as well as smaller.
Please see our Research pages for more information on our research interests, projects, publications, etc.
Why Lab1055? Machine Learning and Vision (MLV = 1055 in Roman numerals).
We are grateful to the following organizations whose support sustains our research.
OPEN POSITIONS: We are looking to hire PhD students, MTech RA students and/or long-term research interns starting in Jan 2022. Please visit this link for open positions in our group.
Dec 2021: Our work on a dataset and new metrics for causal disentanglement accepted at AAAI 2022. Congratulations, Gowtham and Benin!
Nov 2021: 7 papers accepted at WACV 2022.
Oct 2021: Our work on incremental object detection is accepted at PAMI. Congratulations to Joseph, this is joint work with MBZUAI, Abu Dhabi.
Sep 2021: Two papers accepted at accepted at NeurIPS 2021, please see the details here. Congratulations to Sandesh, Anindya, Anirban and Sowrya!
Jul 2021: Dr. Vineeth's course on Deep Learning for Computer Vision on NPTEL is being re-offered from Jul-Oct 2021; here is the link for those interested to register.
Jun 2021: Congratulations to Dr. Vineeth, Puneet, Vedant and Shreyas - an all-undergrad team on winning the Best Paper Award at the Adversarial Machine Learning in Real-World Computer Vision Systems and Online Challenges workshop at CVPR 2021. We are grateful to Analytics India Magazine for their article featuring this work.
May 2021: Congratulations to Dr. Vineeth, Gowtham and Benin on winning the Best Paper Award at the Causality in Vision workshop at CVPR 2021.
May 2021: Congratulations to Sai Srinivas on being awarded the prestigious Prime Minister's Research Fellowship (PMRF), the 3rd PMRF Fellow in our group!
May 2021: Find Dr. Vineeth's interview by Analytics India Magazine here.
Mar 2021: We are delighted to announce that Dr. Vineeth has received the Google Research Scholar Award (earlier known as Google Faculty Research award). Our group is grateful to Google Research for their support.
Mar 2021: Congratulations to Dr. Vineeth for the recognition as Outstanding Reviewer at ICLR 2021.
Mar 2021: Our work on open-world object detection is accepted at CVPR 2021 (as Oral). Congratulations to Joseph! This is joint work with MBZUAI, Abu Dhabi.
Feb 2021: Our project for a 3D-imaging based vein intrusion guide system was awarded the prestigious SreePVF Research Grant award for 2021. This project is a collaboration with Dr. Vandana Sharma (PI, Dept of Physics) and Dr. Mahati Chittem (Dept of Liberal Arts).
