Biography
I am a second-year PhD student in the Department of Computer Science at LMU Munich, where I have the privilege of working with Prof. Thomas Seidl and Prof. Gedas Bertasius. My main research focus is computer vision, video understanding, and multi-modal deep learning.
I was a Machine Learning Intern at Hensoldt Analytics where I also did my Master’s Thesis. Previously, I was a research assistant at MCML and Siemens. Before joining LMU Munich, worked as a software developer at Helical inc.
Interests
- Computer Vision
- Video Understanding
- Multi-modal deep learning
- Machine Learning
- Natural Language Processing
Education
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PhD in Computer Science, 2022-Present
LMU Munich
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MSc in Data Science, 2019-2021
LMU Munich
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BSc in Computer Science and Engineering, 2014-2018
Bangladesh University of Engineering and Technology
Experience
Research Intern
Computer Vision, Video Understanding
Research Assistant
Vision Transformer, Object Detection
Student Intern
Reinforcement Learning, Optimization
Software Engineer
Backend Development, Database Management
Featured Publications
Recent Publications
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(2023).
RGNet: A Unified Retrieval and Grounding Network for Long Videos.
In ArXiv.
(2023).
GRAtt-VIS: Gated Residual Attention for Auto Rectifying Video Instance Segmentation.
In ArXiv.
(2022).
InstanceFormer: An Online Video Instance Segmentation Framework.
In AAAI23.
Contact
- hannan@dbs.ifi.lmu.de
- Oettingenstraße 67, Munich, 80538