ORGANIZERS

Muhammad Haris Khan is an Assistant Professor at MBZUAI, UAE. He has served as an Area Chair at CVPR 2024, WACV 2024-25, Neurips 2024 and BMVC 2024. He is acting as Assoicate Editor at IET Computer Vision journal and a regular program committee member at top conferences. He is an organizer of workshop at ACCV 2022, a competition at ACM MM Grand Challenge 2024, and a special issue at IJCV. He has published several papers at top journals and conferences, including spotlights/highlights presentations.

His research as PI has been supported by various fundings sources making a total of 1.1 Million US dollars. He was awarded honorarium twice for outstanding services to the department. He is a recipient of the International Research Excellence Scholarship for his doctoral study.

Biplab Banerjee is an Associate Professor specializing in Machine Learning and Visual Computing at the Centre of Studies in Resources Engineering (CSRE) and the Center of Machine Intelligence and Data Science (MInDS) at IIT Bombay, India. He has been in this role since April 2022, previously serving as an Assistant Professor from June 2018 to March 2022. Additionally, Dr. Banerjee holds a position as an AI engineering advisor for AWL Inc. Japan.

His earlier tenure includes an Assistant Professorship at the Dept. of Computer Science and Engineering, IIT Roorkee, India, from October 2016 to May 2018. Dr. Banerjee has an extensive international academic presence, with visiting professor tenures at TU Munich, Germany, Ghent University, Belgium, and Kyungpook National University, South Korea. His post-doctoral assignments were at the Istituto Italiano di Tecnologia Genova, Italy, and the Normandy University, France.At IIT Bombay, Dr. Banerjee leads the Deep Learning in Remote Sensing and Computer Vision research group, currently comprising around 10 PhD students, 25 Masters’ students, and approximately 10 undergraduate students. The lab focuses on various aspects of deep learning in image and video analysis, including learning under limited supervision, multi-task learning, visionlanguage models, domain adaptation and generalization, lifelong learning across domains, and multimodal learning in vision.

He received the prestigious Young Investigator’s Award from IIT Bombay in 2021. Dr. Banerjee is also a Senior Member of IEEE.

Vineeth N Balasubramanian is a Professor in the Department of Computer Science and Engineering at the Indian Institute of Technology, Hyderabad (IIT-H), India, and was recently a visiting faculty at Carnegie Mellon University under the Fulbright-Nehru Fellowship in 2022-23. He is also the Founding Head of the Department of Artificial Intelligence at IIT-H from 2019-22.

His research interests include deep learning, machine learning, and computer vision with a focus on explainability, continual learning and learning with limited labeled data. His research has been published at premier venues including ICML, CVPR, NeurIPS, ICCV, KDD, AAAI, and IEEE TPAMI, with Best Paper Awards at recent venues such as CODS-COMAD 2022, CVPR 2021 Workshop on Causality in Vision, etc.

He was the General Chair of ACML 2022 held in India, and regularly serves in senior roles for conferences such as CVPR, ICCV, AAAI, IJCAI, ECCV. He is listed among the World’s Top 2% Scientists (2022,2023), a Fellow of INAE (2024), an INSA Associate Fellow (2024), as well as a recipient of the Research Excellence Award at IIT-H (2022), Google Research Scholar Award (2021), NASSCOM AI Gamechanger Award (2022), Outstanding Reviewer Award (IJCAI 2023, ICLR 2021, CVPR 2019, etc), among others.

Masashi Sugiyama received the PhD degree in Computer Science from Tokyo Institute of Technology, Japan, in 2001. After experiencing assistant and associate professors at the same institute, he became a professor at the University of Tokyo in 2014. Since 2016, he has concurrently served as Director of RIKEN Center for Advanced Intelligence Project, leading the groups of fundamental AI technologies, AI applications, and social issues of AI.

He (co)-authored machine learning monographs including Machine Learning in Non-Stationary Environments (MIT Press, 2012), Density Ratio Estimation in Machine Learning (Cambridge University Press, 2012), Statistical Reinforcement Learning (Chapman and Hall, 2015), Introduction to Statistical Machine Learning (Morgan Kaufmann, 2015), Variational Bayesian Learning Theory (Cambridge University Press, 2019), and Machine Learning from Weak Supervision (MIT Press, 2022).

He has co-organized several workshops at venues such as Neurips, ACML, and IJCAI.

I’m a Professor for Multimodal Learning at the Tuebingen AI Center and affiliated professor at the MIT-IBM Watson AI Lab. Before, I was a Professor of Computer Vision and Multimodal Learning at the University of Bonn. I did my PhD at the cv:hci lab at KIT (supervised by Rainer Stiefelhagen). I was a postdoc at the Fraunhofer FKIE and the Computer Vision Group of Prof. Juergen Gall.

My research focused on everything around video understanding, mainly learning without labels and multimodal video understanding. I created several highly cited datasets and works on analyzing large collections of untrimmed video data, including HMDB51, which was awarded the ICCV 2021 Helmholtz Prize and the PAMI Mark Evering-ham Prize. I am currently serving as an Associate Editor for the IEEE Transactions on Pattern Analysis and Machine Intelligence.

I was a Program Chair for WACV 2024 and continuously serve as area chair for various conferences such as CVPR, ICCV, ECCV, and WACV. I’m committed to bringing more diversity to the field and an active supporter of the Women in Computer Vision Initiative.

Cees G.M. Snoek is a full professor in computer science at the University of Amsterdam, where he heads the Video & Image Sense Lab and the interdisciplinary Human-Aligned Video AI Lab.

He is also a director of three public-private AI research labs: QUVA Lab with Qualcomm, Atlas Lab with TomTom and the OpenBots Lab with Delft University of Technology, TNO and the Ministry of Defence. At University spin-off Kepler Vision Technologies he acts as Chief Scientific Officer.

Rishabh Lalla is a PhD student in the Computer Vision Department at MBZUAI, UAE.

He has co-authored work on improving unsupervised domain adaptation (ECCV 2024) and contributes to research in computer vision and machine learning.