News and Awards

(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).

(Feb 2021): Dr. Vineeth is serving as Program Co-chair of ACML 2021, and Associate Editor of Pattern Recognition journal (Impact Factor: 7.2).

(Feb 2021): Find Dr. Vineeth's interview on IEEE Signal Processing Newsletter here.

(Dec 2020): Congratulations to Hari Chandana on being awarded the prestigious Prime Minister's Research Fellowship (PMRF)!

(Dec 2020): Our MTech student, Chaitanya, is selected for the Shastri Indo-Canadian Student Research Fellowship. Congratulations!

(Dec 2020): Two papers accepted at AAAI 2021. Congratulations to Ravi, Yash, Rahul, Anindya, Anirban!

(Nov 2020): Our work on generalized zero-shot learning is accepted at WACV 2021. Congratulations to Shivam!

(Nov 2020): Our work on choosing the initial pool for deep active learning methods is accepted at the interesting Pre-registeration workshop at NeuriPS 2020. Congratulations to Akshay, Vikas and Chaitanya!

(Oct 2020): Congratulations to Gowtham on being awarded the prestigious Prime Minister's Research Fellowship (PMRF)!

(Oct 2020): Grateful for the opportunity to coordinate the Vaibhav Summit's AIML vertical sessions. For the computer vision session on Oct 14th, please see this link to attend.

(Sep 2020): Our work on meta-consolidation for continual learning is accepted at NeurIPS 2020. Congratulations to Joseph!

(Aug 2020): Dr. Vineeth is now offering a course on Deep Learning for Computer Vision on NPTEL starting in September. Here is the link for those interested to register.

(Aug 2020): Grateful to Microsoft Research India for their first postdoctoral funding grant in India. Welcome to Dr. Sandesh Kamath for joining our group as a postdoc under this grant.

(Jul-Aug 2020): Grateful for the recognition as Top Reviewer at ECCV 2020, Outstanding Reviewer at BMVC 2020; also serving as Area Chair of IJCAI 2021, elevated as Senior Member of IEEE.

(Jul 2020): Two papers accepted at BMVC 2020. Please see details here.

(Jul 2020): Our work on training deep neural networks through alternate minimization, an alternate approach to backpropagation, is accepted at Elsevier Neural Networks.

(Jul 2020): Our work on attributional robustness training is accepted at ECCV 2020. This is joint work with Adobe. Congratulations to Puneet, and all our collaborators at Adobe: Mayank, Nupur, Abhishek and Balaji!

(Jun 2020): Puneet's work gets accepted at ECML-PKDD 2020. Congratulations to Puneet and Vedant, our 3rd- and 2nd-year undergraduate students.

(Jun 2020): Arghya is accepted for the CVPR 2020 Doctoral Consortium, congratulations!

(May 2020): Our work on retrospection while training neural network models is accepted at KDD 2020. This is joint work with Adobe. Congratulations to Surgan, and all our collaborators at Adobe: Ayush, Piyush, Mausoom and Balaji!

(May 2020): Grateful to Adobe for their unrestricted research gift.

(Mar 2020): Our DaiSEE dataset was inaccessible for a few days, and is back online now here.

(Jan 2020): Our work on ‘‘Human Machine Collaboration for Face Recognition’’ was a Best Paper Award runner-up at CODS-COMAD 2020. This was joint work with Prof Jawahar and Prof Sujit at IIIT-H.

(Dec 2019): 1 more paper accepted at WACV 2020 (2nd round). 4 papers accepted in WACV 2020 in total. Please see details here.

(Sep 2019): 3 papers accepted at WACV 2020 (1st round)! Details here. Our WACV’20 work on using self-supervision for meta-learning will also be presented at the NeurIPS 2019 Workshop on Meta-Learning.

(Sep 2019): Our ICML 2019 work on computing causal attributions for neural network models featured in the media. Details here.

(Aug 2019): Joseph wins the TCS PhD Fellowship. Congratulations! Grateful to TCS for the support.

(Aug 2019): appy to share that our group students, Sukrut received the President of India Gold Medal, Vaibhav received the Gold Medal for Academic Excellence and Co-Curricular Activities, Nehal received the Silver Medal for MTech, and Rahul received the Silver Medal for BTech (ES) in this year's convocation. Congratulations to all of them!

(Jun-Aug 2019): Grateful for the recognition as Outstanding Reviewer at CVPR 2019, serving as Area Chair of CVPR 2020 and on Senior PC of AAAI 2020.

(May 2019): Two papers accepted at IJCAI 2019 (17.8% acceptance). Congratulations to Joseph, Vamshi Teja, Krishnakant and Harshitha!

(Apr 2019): Our work on causal attribution in neural networks is accepted at ICML 2019. Congratulations to Aditya, Piyushi and Anirban! Grateful for the ICML Travel Grants provided to Aditya and Anirban to present at the conference.

(Apr 2019): Joseph is selected to attend the International Computer Vision Summer School in Sicily. Congratulations!

(Mar 2019): We are organizing a (semi-closed) IIT-H RIKEN AI workshop with RIKEN AIP, Japan, on 15-16 Mar, 2019. Please consider participating.

(Feb 2019): Arghya's paper on Zero-shot Task Transfer gets accepted at CVPR 2019 as on Oral (generally 2-3% acceptance in recent years). Congratulations! Arghya received the Google Travel Grant to present this work. Grateful to Google.

(Dec 2018): Grateful to Verisk for the AI Research Faculty Award.

(Nov 2018): We are organizing a workshop on AI for Society in Developing Nations (an AAAI India Chapter event) in Dec 2018. Please consider participating.

(Nov 2018): Our collaborative work on active learning for semantic segmentation is also accepted at WACV 2019.

(Aug 2018): Our work on cross-caption text-to-image synthesis is accepted at WACV 2019.

(Jul 2018): Our work on using GANs for scene refocusing is accepted at ECCV 2018 (joint work with Prof PJN, IIIT). We also have two papers accepted at ECCV workshops.

(Jul 2018): Our work on learning a loss function for semantic segmentation is accepted at BMVC 2018 (joint work with Prof Jawahar, IIIT).

(Jun 2018): Our work on understanding error landscape on neural networks will be presented at the Theory of Deep Learning and Non-convex Optimization workshops at ICML 2018.

(Apr 2018): Our dataset for understanding user engagement in the wild from videos, DAiSEE, is now available here. The dataset will be presented at the 4th Vision meets Cognition workshop at CVPR 2018, and was also featured in the media (The Hindu).

(Mar 2018): Senior-year undergrad students from our group have received admits into CMU, Columbia, Facebook AI Residency, Google AI/Brain Residency and IDSIA (birthplace of LSTMs). Congratulations to Sneha, Bhavana, Yash, Ayushi, Arjun and Ramakrishna! (Media Coverage here)

(Feb 2018): Arghya's paper on Adversarial Data Programming (creating labeled datasets from weak labeling functions) gets accepted at CVPR 2018. Congratulations!

(Jan 2018): Vishwak wins S N Bose Fellowship award, and Sukrut wins the Honda Y-E-S award. Congratulations to Vishwak and Sukrut.

(Dec 2017): Grateful to Honeywell, MHRD and DST for the UAY and ICPS grants to support our research.

(Dec 2017): Grateful to IBM for the IBM Shared University Research award to support our research.

(Oct 2017): Our work on Grad-CAM, an improved version of Grad-CAM, is accepted to WACV 2018. Congratulations to Anirban, Aditya and Prantik.

(Oct 2017): We have 3 papers accepted to ACM iKDD CODS-COMAD 2018. Please see the publications here. Congratulations to Vishwak, Ravi (twice), Supriya and Himangi.

(Jul 2017): Our work on using deep recurrent attentive architectures for generating videos from captions is accepted at ACM MM 2017 as an Oral Paper (7.5% acceptance rate) and at ICCV 2017. Congratulations to Tanya and Gaurav.

(Jun 2017): Our work on using deep learning for detecting road intersections from monocular cameras is accepted at IROS 2017. Congratulations to the students - Danish, Dhaivat and Arghya. This is collaborative work with Prof Madhava Krishna at IIIT-H.

(May 2017): Anirban and Vishwak selected to intern at the University of Tokyo under the Sakura Science Plan. Congratulations to both of them!

(May 2017): Senior-year undergrad students from our group have received admits into CMU, Columbia, Georgia Tech, University of Montreal, Wisconsin-Madison and University of Massachusetts, Amherst for their Masters. Congratulations to Tanya, Akshita, Sahil, Hrishikesh, Teja and Sreekar!

(Apr 2017): Arghya selected to attend the International Computer Vision Summer School at Sicily in July. Congratulations Arghya!

(Feb 2017): Arasu selected for the prestigious S N Bose Fellowship, and Sneha selected for the Viterbi Fellowship. Congratulations!

(Oct 2016): Arghya awarded the Intel PhD fellowship. Congratulations Arghya!

(Oct 2016): As part of our collaborative efforts on e-learning, CDAC is organizing a workshop on e-Learning and Multimodal Learning Analytics. Please participate if this interests you.

(Oct 2016): Our undergraduate students’ (Sahil, Akilesh, Tanya) research was accepted and presented at IWML 2016 and IBM I-CARE 2016. Congratulations to all of them.

(Jul 2016): Serving as the Technical Co-Chair for the Cognitive Computing Track at IBM I-CARE 2016. Please consider submitting your work.

(Jun 2016): We are organizing a workshop on Assistive Vision at ACCV 2016. Please consider submitting your work.

(Jun 2016): We are conducting a TEQIP workshop on Deep Learning for Visual Computing at IIT-Hyderabad between Jun 20-25, and a Summer School on Deep Learning for Computer Vision at IIIT-H between Jul 11-15. Please apply if you are interested!

(Jan 2016): We have two papers accepted to WACV 2016. Congratulations to Aditya, Aradhya and Digvijay.

(Dec 2015): We organized an Indo-UK workshop on “Conformal Prediction for Reliable Machine Learning”, funded by the EPSRC-DST Indo-UK Initiative on Applied Mathematics.

(Oct 2015): Adepu Ravi Sankar awarded the Intel PhD fellowship. Congratulations Ravi!