Seidl, Thomas

23 publications

ICLR 2026 Human Uncertainty-Aware Data Selection and Automatic Labeling in Visual Question Answering Jian Lan, Zhicheng Liu, Udo Schlegel, Raoyuan Zhao, Yihong Liu, Hinrich Schuetze, Michael A. Hedderich, Thomas Seidl

ECML-PKDD 2025 Going Offline: An Evaluation of the Offline Phase in Stream Clustering Philipp Jahn, Walid Durani, Collin Leiber, Anna Beer, Thomas Seidl

CVPR 2025 ReVisionLLM: Recursive Vision-Language Model for Temporal Grounding in Hour-Long Videos Tanveer Hannan, Md Mohaiminul Islam, Jindong Gu, Thomas Seidl, Gedas Bertasius

NeurIPS 2024 Autoregressive Policy Optimization for Constrained Allocation Tasks David Winkel, Niklas Strauß, Maximilian Bernhard, Zongyue Li, Thomas Seidl, Matthias Schubert

ECML-PKDD 2024 Data with Density-Based Clusters: A Generator for Systematic Evaluation of Clustering Algorithms Philipp Jahn, Christian M. M. Frey, Anna Beer, Collin Leiber, Thomas Seidl

ECML-PKDD 2024 FALCUN: A Simple and Efficient Deep Active Learning Strategy Sandra Gilhuber, Anna Beer, Yunpu Ma, Thomas Seidl

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

ICMLW 2024 SA-DQAS: Self-Attention Enhanced Differentiable Quantum Architecture Search Yize Sun, Jiarui Liu, Zixin Wu, Zifeng Ding, Yunpu Ma, Thomas Seidl, Volker Tresp

ECML-PKDD 2023 DiffusAL: Coupling Active Learning with Graph Diffusion for Label-Efficient Node Classification Sandra Gilhuber, Julian Busch, Daniel Rotthues, Christian M. M. Frey, Thomas Seidl

ECML-PKDD 2023 How to Overcome Confirmation Bias in Semi-Supervised Image Classification by Active Learning Sandra Gilhuber, Rasmus Hvingelby, Mang Ling Ada Fok, Thomas Seidl

AAAI 2023 InstanceFormer: An Online Video Instance Segmentation Framework Rajat Koner, Tanveer Hannan, Suprosanna Shit, Sahand Sharifzadeh, Matthias Schubert, Thomas Seidl, Volker Tresp

ECML-PKDD 2022 Risk-Aware Reinforcement Learning for Multi-Period Portfolio Selection David Winkel, Niklas Strauß, Matthias Schubert, Thomas Seidl

AAAI 2021 Argument Mining Driven Analysis of Peer-Reviews Michael Fromm, Evgeniy Faerman, Max Berrendorf, Siddharth Bhargava, Ruoxia Qi, Yao Zhang, Lukas Dennert, Sophia Selle, Yang Mao, Thomas Seidl

MLJ 2015 MultiClust Special Issue on Discovering, Summarizing and Using Multiple Clusterings Emmanuel Müller, Ira Assent, Stephan Günnemann, Thomas Seidl, Jennifer G. Dy

ECML-PKDD 2015 UrbanHubble: Location Prediction and Geo-Social Analytics in LBSN Roland Assam, Simon Feiden, Thomas Seidl

ECML-PKDD 2014 Density-Based Subspace Clustering in Heterogeneous Networks Brigitte Boden, Martin Ester, Thomas Seidl

ECML-PKDD 2012 CC-MR - Finding Connected Components in Huge Graphs with MapReduce Thomas Seidl, Brigitte Boden, Sergej Fries

ECML-PKDD 2011 DB-CSC: A Density-Based Approach for Subspace Clustering in Graphs with Feature Vectors Stephan Günnemann, Brigitte Boden, Thomas Seidl

ECML-PKDD 2011 MOA: A Real-Time Analytics Open Source Framework Albert Bifet, Geoff Holmes, Bernhard Pfahringer, Jesse Read, Philipp Kranen, Hardy Kremer, Timm Jansen, Thomas Seidl

ICCV 2011 Modeling Image Similarity by Gaussian Mixture Models and the Signature Quadratic Form Distance Christian Beecks, Anca Maria Ivanescu, Steffen Kirchhoff, Thomas Seidl

ECML-PKDD 2010 SOREX: Subspace Outlier Ranking Exploration Toolkit Emmanuel Müller, Matthias Schiffer, Patrick Gerwert, Matthias Hannen, Timm Jansen, Thomas Seidl

ECML-PKDD 2009 Harnessing the Strengths of Anytime Algorithms for Constant Data Streams Philipp Kranen, Thomas Seidl

ECML-PKDD 2008 Pleiades: Subspace Clustering and Evaluation Ira Assent, Emmanuel Müller, Ralph Krieger, Timm Jansen, Thomas Seidl