Publications

Tanveer Hannan, Md Mohaiminul Islam, Jindong Gu, Thomas Seidl, Gedas Bertasius (2024). ReVisionLLM: Recursive Vision-Language Model for Temporal Grounding in Hour-Long Videos. In ArXiv.

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Tanveer Hannan, Md Mohaiminul Islam, Thomas Seidl, Gedas Bertasius (2024). RGNet: A Unified Retrieval and Grounding Network for Long Videos. In ECCV.

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Maximilian Bernhard, Tanveer Hannan, Niklas Strauß, Matthias Schubert (2024). Context Matters: Leveraging Spatiotemporal Metadata for Semi-Supervised Learning on Remote Sensing Images . In ECAI.

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Tanveer Hannan, Rajat Koner, Maximilian Bernhard, Suprosanna Shit, Bjoern Menze, Volker Tresp, Matthias Schubert, Thomas Seidl (2023). GRAtt-VIS: Gated Residual Attention for Auto Rectifying Video Instance Segmentation. In ICPR.

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Rajat Koner, Tanveer Hannan, Suprosanna Shit, Sahand Sharifzadeh, Matthias Schubert, Thomas Seidl, Volker Tresp (2022). InstanceFormer: An Online Video Instance Segmentation Framework. In AAAI23.

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Tanveer Hannan, Rajat Koner, Jonathan Kobold, Matthias Schubert (2022). Box Supervised Video Segmentation Proposal Network. In IMVIP22.

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Md Mohaiminul Islam, Tanveer Hannan, Laboni Sarker, Zakaria Ahmed (2022). COVID-DenseNet: A Deep Learning Architecture to Detect COVID-19 from Chest Radiology Images. In ICDSA22.

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Elena A. Kronberg, Tanveer Hannan, Jens Huthmacher, Marcus Münzer, Florian Peste, Ziyang Zhou, Max Berrendorf, Evgeniy Faerman, Fabio Gastaldello, Simona Ghizzardi, Philippe Escoubet, Stein Haaland, Artem Smirnov, Nithin Sivadas, Robert C. Allen, Andrea Tiengo, Raluca Ilie (2021). Prediction of Soft Proton Intensities in the Near-Earth Space Using Machine Learning. In ApJ21.

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