About Me
I am a Master’s student at the Mohamed Bin Zayed University of Artificial Intelligence (MBZUAI) majoring in Machine Learning. At MBZUAI, I am affliated with the Intelligent Visual Analytics Lab (IVAL). I am primarily advised by Dr. Salman and mentored by Dr. Muzammal. My secondary advisor is Dr. Fahad Khan.
I received my undergraduate degree in Electronics and Communication Engineering with a minor in Computer Science from the National Institute of Technology (NIT) Srinagar, India. After graduation, I worked as a Machine Learning engineer at Harman International (Samsung) before transitioning into academia in 2021 and joining MBZUAI as a Research Assistant under Dr. Mohammad Yaqub
Research Interests
I am broadly interested in Label-efficient learning in multi-modal settings with applications to problems in the domains of 1. adapting multi-modal models to novel domains, 2. generative text-to-image diffusion models and 3. using generative models for zero-shot discriminative tasks.
News
- [Jan. 2024] Our paper “LLM Blueprint: Enabling Text-to-Image Generation with Complex and Detailed Prompts” got accepted at ICLR 2024.
- [Oct. 2023] Awarded NeurIPS 2023 Travel Grant.
- [Sept. 2023] Our paper “Align your Prompts: Test-Time Prompting with Distribution Alignment for Zero-Shot Generalization” got accepted at NeurIPS 2023.
- [June. 2023] Joined Visual Computing Center (VCC) at KAUST as a Visiting Student under Professor Peter Wonka.
- [Jan. 2023] Our US patent about training Vision Transformers on small-scale datasets got approved for filing.
- [Sep. 2022] I started working with Dr. Salman as a part of Intelligent Visual Analytics Lab (IVAL).
- [Sep. 2022] I joined MBZUAI as a grad student in Machine Learning with full scholarship.
- [Oct. 2022] Our paper about training Vision Transformers on small-scale datasets got accepted to BMVC 2022.
- [Oct. 2021] I joined BiomedIA Lab at MBZUAI as a Research Assistant.
- [March. 2021] I started as a part-time Predoctoral fellow at Fatima Fellowship working under Dr. Abubakr Abid.
- [Oct. 2018] I joined as a Machine Learning Engineer at Harman International Inc. (Samsung).
- [July. 2018] Our paper about supervised methodology for disguised facial recognition in wild got accepted to ACM ICRCV 2018.
- [August. 2018] Our paper about disguised facial recognition got accepted to IEEE ICSIP 2018.
- [June. 2018] I completed my undergraduate studies in Electronics and Communications Engineering from the National Institute of Technology (NIT) Srinagar.
- [Dec. 2017] I joined as a Research Intern in Computational Intelligence and UAV Lab at the Indian Institute of Science, Bangalore
Publications
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ICLR
Hanan Gani, Shariq Farooq Bhat, Muzammal Naseer, Salman Khan, Peter Wonka
12th International Conference on Learning Representations (ICLR) 2024
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NeurIPS
Jameel Hassan *, Hanan Gani *, Noor Hussein, Uzair Khattak, Muzammal Naseer, Salman Khan, Fahad Khan
37th Advances in Neural Information Processing Systems (NeurIPS), 2023
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BMVC
Hanan Gani, Muzammal Naseer, Mohammad Yaqub
33rd British Machine Vision Conference 2022, (BMVC), London, UK.
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Arxiv
Hanan Gani, Nada Saadi, Noor Hussein and Karthik Nandakumar
Arxiv 2024
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Arxiv
Saumya Kumaar, Abhinandan Dogra, Abrar Majeedi, Hanan Gani, Ravi M. Vishwanath and S N Omkar
ACM International Conference on Robotics and Computer Vision (ICRCV), 2018
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ICSIP
S Kumaar, H. Gani, RM Vishwanath, SN Omkar, A Majeedi, A Dogra
IEEE 3rd International Conference on Signal and Image Processing (ICSIP), 2018
Services
Conference Reviewing
- Serving as a Reviewer at ICLR and CVPR 2024
- Serving as a Reviewer at ICML and NeurIPS 2023
Academic Services
- Teaching Assistant for Statistical Inference and Causality (ML703) course - Fall 2023
- Teaching Assistant for Machine Learning (ML701) course - Fall 2023
Awards and Merits
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