Tanveer Hannan

Tanveer Hannan

PhD Student of Artificial Intelligence

Ludwig Maximilian University of Munich


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.

  • Computer Vision
  • Video Understanding
  • Multi-modal deep learning
  • Machine Learning
  • Natural Language Processing
  • PhD in Computer Science, 2022-Present

    LMU Munich

  • MSc in Data Science, 2019-2021

    LMU Munich

  • BSc in Computer Science and Engineering, 2014-2018

    Bangladesh University of Engineering and Technology


Hensoldt Analytics
Research Intern
July 2021 – December 2021 Munich
Computer Vision, Video Understanding
Research Assistant
October 2020 – June 2021 Munich
Vision Transformer, Object Detection
Siemens, Advanta
Student Intern
October 2020 – April 2021 Munich
Reinforcement Learning, Optimization
Helical Inc.
Software Engineer
November 2018 – August 2019 Munich
Backend Development, Database Management

Recent Publications

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(2023). RGNet: A Unified Retrieval and Grounding Network for Long Videos. In ArXiv.

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(2023). GRAtt-VIS: Gated Residual Attention for Auto Rectifying Video Instance Segmentation. In ArXiv.

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(2022). InstanceFormer: An Online Video Instance Segmentation Framework. In AAAI23.

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(2022). Box Supervised Video Segmentation Proposal Network. In IMVIP22.

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(2022). COVID-DenseNet: A Deep Learning Architecture to Detect COVID-19 from Chest Radiology Images. In ICDSA22.

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