Joseph K J

I am a computer vision researcher. Most of my explorations draws inspiration from the ingenuity of human brain. Its ability to improve itself with experiences, quantify what it does not know, and its natural instinct to be creative guides my research in multi-modal learning, continual learning, open-world learning, class-discovery and generative modeling with deep neural networks.

I obtained my PhD and Master’s degree from IIT Hyderabad under the guidance of Dr. Vineeth N Balasubramanian.

e-mail: josephkj (at) adobe.com or josephkj20 (at) gmail.com

News

Nov 25, 2023	Delivered a tutorial on diffusion models at HAAI, IIT Kharagpur.
Oct 24, 2023	Our work at Adobe on using diffusion models for iterative image editing is accepted to WACV 2024.
Jul 14, 2023	Two papers accepted to ICCV 2023. Thanks to my brilliant collaborators at Adobe Research and CMU.
Jul 13, 2023	Delivered a tutorial on Continual Learning at Summer School on AI, organized by IIIT H.
Dec 12, 2022	Invited to talk at Continual Lifelong Learning Workshop co-located with ACML 2022.
Nov 14, 2022	Joined Adobe Research as a Research Scientist.
Jul 9, 2022	Two papers accepted to ECCV 2022.
Jun 21, 2022	Won AI-GameChangers award in the Deep Learning Algorithms category. Thank you, NASSCOM!
Jun 20, 2022	Our work on class discovery won the Best Paper Runner-Up Award at CLVision workshop, CVPR 2022.
Apr 15, 2022	Accepted to Doctoral Consortium at CVPR 2022, mentored by Prof. Trevor Darrell.
Apr 7, 2022	Humbled to recieve Excellence in Research Award from IIT Hyderabad second time!
Mar 2, 2022	Two papers accepted at CVPR 2022.
Oct 11, 2021	Our work on Incremental Object Detection is accepted to TPAMI (Impact Factor: 16.39).
Aug 8, 2021	Continuing at Google as a Student Researcher.
Apr 5, 2021	Joined Google Research as an Intern.
Mar 1, 2021	Our work on Open World Object Detection, is accepted at CVPR 2021 for ORAL presentation.
Sep 25, 2020	Our work on using Meta-Consolidation for Continual Learning is accepted at NeurIPS 2020.
Aug 30, 2020	Humbled to recieve Excellence in Research Award from IIT Hyderabad.
Jul 30, 2020	Our work on Zero-shot Domain Generalization is accepted at BMVC 2020.
Nov 24, 2019	Joined IIAI / MBZUAI, Abu Dhabi as a Research Intern.
Aug 8, 2019	Awarded TCS PhD Fellowship!
May 21, 2019	Our work on using submodular optimization is accepted at Negative Dependence workshop, ICML 2019.
May 21, 2019	Humbled to receive Travel Grants from Microsoft Research and ACM-India / IARCS to attend IJCAI.
May 10, 2019	Our work titled ‘Submodular Batch Selection for Training Deep Neural Networks’ is accepted at IJCAI 2019.
Apr 16, 2019	Would be attending International Computer Vision Summer School, ICVSS 2019 in Sicily, Italy.
Mar 14, 2019	Awarded ‘Certificate of Appreciation in Research’ from IIT Hyderabad.
Aug 31, 2018	Our paper titled ‘C4Synth: Cross-Caption Cycle-Consistent Text-to-Image Synthesis’, is accepted at WACV 2019.
Aug 6, 2018	MASON accepted at AutoNUE workshop, ECCV 2018, Germany.
Jul 24, 2018	Interned at Harada-Ushiku lab, University of Tokyo, Japan.
Jun 29, 2018	Our paper accepted at ‘Towards learning with limited labels’ workshop, ICML 2018, Sweden.

Collaborators

I have had the chance to work with great minds at MBZUAI, Google Research, CMU, IISc, IIT K and University of Hong Kong among many others.

Salman Khan (MBZUAI)
Fahad Khan (MBZUAI)
Fernando De la Torre (CMU)
Gaurav Aggarwal (Google Research)
Kai Han (University of Hong Kong)
Soma Biswas (IISc)
Piyush Rai (IIT Kanpur)
+ of-course, my doctoral advisor.
+ all amazing colleagues at Adobe Research!

Services

Reviewer / PC member: CVPR (‘23, ‘22, ‘21), ICCV ('23), ECCV ('22), NeurIPS ‘22, CoLLAs ‘23, AAAI ‘21, IJCAI (‘21, ‘20), ACML (‘22, ‘20)
Reviewer for: IEEE Transactions on Image Processing, IEEE Transactions on Multimedia, Elsevier Pattern Recognition, Springer Machine Learning.
Web Chair for ACML 2022.
Program Chair for Continual AI Unconference 2023.