Talks in Sessions


Thursday, 30.09.

Computational Photography and Lighting


A Comparative Study of PnP and Learning Approaches to Super-Resolution in a Real-World Setting

Samim Zahoor Taray (K|Lens GmbH), Sunil Prasad Jaiswal (K|Lens GmbH), Shivam Sharma (K|Lens GmbH), Noshaba Cheema (Saarland Informatics Campus, DFKI); Klaus M Illgner-Fehns (K|Lens GmbH), Philipp Slusallek (DFKI, Saarland University), Ivo Ihrke (K|Lens GmbH, University of Siegen)


Merging-ISP: Multi-Exposure High Dynamic Range Image Signal Processing

Prashant Chaudhari ( GmbH), Franziska Schirrmacher (Friedrich-Alexander-Universität Erlangen-Nürnberg), Andreas Maier (Friedrich-Alexander-Universität Erlangen-Nürnberg), Christian Riess (Friedrich-Alexander-Universität Erlangen-Nürnberg), Thomas Köhler ( GmbH)


Spatiotemporal Outdoor Lighting Aggregation on Image Sequences

Haebom Lee (University of Heidelberg, Bosch), Robert Herzog (Bosch), Jan Rexilius (Fachhochschule Bielefeld), Carsten Rother (University of Heidelberg)

Vision Systems and Applications


Viewpoint-Tolerant Semantic Segmentation for Aerial Logistics

Shiming Wang (RWTH Aachen University), Fabiola Maffra (ETH Zurich), Ruben Mascaro (ETH Zurich), Lucas Teixeira (ETH Zurich), Margarita Chli (ETH Zurich)


T6D-Direct: Transformers for Multi-Object 6D Pose Direct Regression

Arash Amini (University of Bonn), Arul Selvam Periyasamy (University of Bonn), Sven Behnke (University of Bonn)


TetraPackNet: Four-Corner-Based Object Detection in Logistics Use-Cases

Laura Dörr (FZI Research Center for Information Technology), Felix Brandt (FZI Research Center for Information Technology), Alexander Naumann (FZI Research Center for Information Technology), Martin Pouls (FZI Research Center for Information Technology)


Detecting Slag Formations with Deep Convolutional Neural Networks

Christian Von Koch (Combient Mix AB), William Anzén (Combient Mix AB), Max Fischer (Combient Mix AB), Raazesh Sainudiin (Uppsala University)


Virtual Temporal Samples for Recurrent Neural Networks: applied to semantic segmentation in agriculture

Alireza Ahmadi (University of Bonn), Michael Halstead (University of Bonn), Chris McCool (University of Bonn)

Machine Learning and Optimization


Sublabel-Accurate Multilabeling Meets Product Label Spaces

Zhenzhang Ye (TU Munich), Bjoern Haefner (TU Munich), Yvain Quéau (CNRS), Thomas Möllenhoff (RIKEN Center for Advanced Intelligence Project), Daniel Cremers (TU Munich)


InfoSeg: Unsupervised Semantic Image Segmentation with Mutual Information Maximization

Robert Harb (Graz University of Technology), Patrick Knöbelreiter (Graz University of Technology)


Sampling-free Variational Inference for Neural Networks with Multiplicative Activation Noise

Jannik Schmitt (TU Darmstadt), Stefan Roth (TU Darmstadt)

Machine Learning


Reintroducing Straight-Through Estimators as Principled Methods for Stochastic Binary Networks

Alexander Shekhovtsov (Czech Technical University in Prague), Viktor Yanush (HSE University, Moscow)


Bias-Variance Tradeoffs in Single-Sample Binary Gradient Estimators

Alexander Shekhovtsov (Czech Technical University in Prague)


End-to-end Learning of Fisher Vector Encodings for Part Features in Fine-grained Recognition

Dimitri Korsch (Friedrich-Schiller-University Jena), Paul Bodesheim (Friedrich-Schiller-University Jena), Joachim Denzler (Friedrich-Schiller-University Jena, DLR)


Investigating the Consistency of Uncertainty Sampling in Deep Active Learning

Niklas Penzel (Friedrich-Schiller-University Jena), Christian Reimers (Friedrich-Schiller-University Jena), Clemens A Brust (Friedrich-Schiller-University Jena), Joachim Denzler (Friedrich-Schiller-University Jena, DLR)


ScaleNet: An Unsupervised Representation Learning Method for Limited Information

Huili Huang (Georgia Institute of Technology), M. Mahdi Roozbahani (Georgia Institute of Technology)

Action Recognition and Video Understanding


A New Split for Evaluating True Zero-Shot Action Recognition

Shreyank N Gowda (University of Edinburgh), Laura Sevilla-Lara (Facebook AI Research), Kiyoon Kim (University of Edinburgh), Frank Keller (University of Edinburgh), Marcus Rohrbach (Facebook AI Research)


Video Instance Segmentation with Recurrent Graph Neural Networks

Joakim Johnander (Linköping University), Emil Brissman (Linköping University), Martin Danelljan (ETH Zurich), Michael Felsberg (Linköping University)


Distractor-Aware Video Object Segmentation

Andreas Robinson (Linköping University), Abdelrahman Eldesokey (Linköping University), Michael Felsberg (Linköping University)

Actions, Events, and Segmentation


(SP)²Net for Generalized Zero-Label Semantic Segmentation

Anurag Das (MPI for Informatics, Saarland Informatics Campus), Yongqin Xian (ETH Zurich), Yang He (Amazon), Bernt Schiele (MPI for Informatics, Saarland Informatics Campus), Zeynep Akata (MPI for Intelligent Systems, University of Tübingen)


Contrastive Representation Learning for Hand Shape Estimation

Christian Zimmermann (University of Freiburg), Max Argus (University of Freiburg), Thomas Brox (University of Freiburg)


Fusion-GCN: Multimodal Action Recognition using Graph Convolutional Networks

Michael Duhme (University of Koblenz-Landau), Raphael Memmesheimer (University of Koblenz-Landau), Dietrich Paulus (University of Koblenz-Landau)


FIFA: Fast Inference Approximation for Action Segmentation

Yaser Souri (University of Bonn), Yazan Abu Farha (University of Bonn), Fabien Despinoy (Toyota Motor Europe), Gianpiero Francesca (Toyota Motor Europe), Juergen Gall (University of Bonn)


Hybrid SNN-ANN: Energy-Efficient Classification and Object Detection for Event-Based Vision

Alexander Kugele (Bosch Center for Artificial Intelligence), Thomas Pfeil (Bosch Center for Artificial Intelligence), Michael Pfeiffer (Bosch Center for Artificial Intelligence), Elisabetta Chicca (University of Groningen)

Pattern Recognition in the Life- and Natural Sciences


Weakly Supervised Segmentation Pretraining for Plant Cover Prediction

Matthias Körschens (Friedrich Schiller University Jena), Paul Bodesheim (Friedrich Schiller University Jena), Christine Römermann (Friedrich Schiller University Jena), Solveig Franziska Bucher (Friedrich Schiller University Jena), Mirco Migliavacca (Max Planck Institute for Biogeochemistry Jena), Josephine Ulrich (Friedrich Schiller University Jena), Joachim Denzler (Friedrich Schiller University Jena)


How Reliable Are Out-of-Distribution Generalization Methods for Medical Image Segmentation?

Antoine Sanner (TU Darmstadt), Camila Gonzalez (TU Darmstadt), Anirban Mukhopadhyay (TU Darmstadt)

Friday, 1.10.

Machine Learning


Conditional Adversarial Debiasing: Towards Learning Unbiased Classifiers from Biased Data

Christian Reimers (Friedrich-Schiller-University Jena, DLR), Paul Bodesheim (Friedrich-Schiller-University Jena), Jakob Runge (DLR, TU Berlin); Joachim Denzler (Friedrich-Schiller-University Jena, DLR)


Revisiting Consistency Regularization for Semi-Supervised Learning

Yue Fan (Max Planck Institute for Informatics), Anna Kukleva (Max Planck Institute for Informatics), Bernt Schiele (Max Planck Institute for Informatics)


Learning Robust Models Using the Principle of Independent Causal Mechanisms

Jens Müller (University of Heidelberg), Robert Schmier (University of Heidelberg, Bosch Center for Artificial Intelligence), Lynton Ardizzone (University of Heidelberg), Carsten Rother (University of Heidelberg), Ullrich Köthe (University of Heidelberg)

Generative Models and Multimodal Data


AttrLostGAN: Attribute Controlled Image Synthesis from Reconfigurable Layout and Style

Stanislav Frolov (Technical University of Kaiserslautern, DFKI), Avneesh Sharma (Technical University of Kaiserslautern), Jörn Hees (DFKI), Tushar Karayil (DFKI), Federico Raue (DFKI), Andreas Dengel (DFKI)


Learning Conditional Invariance through Cycle Consistency

Maxim Samarin (University of Basel), Vitali Nesterov (University of Basel), Mario Wieser (University of Basel), Aleksander Wieczorek (University of Basel), Sonali Parbhoo (Harvard University), Volker Roth (University of Basel)


CAGAN: Text-To-Image Generation with Combined Attention Generative Adversarial Networks

Henning Schulze (Karlsruhe Institute of Technology), Dogucan Yaman (Karlsruhe Institute of Technology), Alexander Waibel (Karlsruhe Institute of Technology)


TxT: Crossmodal End-to-End Learning with Transformers

Jan-Martin O. Steitz (TU Darmstadt), Jonas Pfeiffer (TU Darmstadt), Iryna Gurevych (TU Darmstadt), Stefan Roth (TU Darmstadt)


Diverse Image Captioning with Grounded Style

Franz Klein (TU Darmstadt), Shweta Mahajan (TU Darmstadt), Stefan Roth (TU Darmstadt)

Photogrammetry and Remote Sensing


Clustering Persistent Scatterer Points Based on a Hybrid Distance Metric

Philipp J Schneider (University of Stuttgart), Uwe Sörgel (University of Stuttgart)


CATEGORISE: An Automated Framework for Utilizing the Workforce of the Crowd for Semantic Segmentation of 3D Point Clouds

Michael Kölle (University of Stuttgart), Volker Walter (University of Stuttgart), Ivan Shiller (University of Stuttgart), Uwe Sörgel (University of Stuttgart)


Zero-Shot remote sensing image super resolution based on image continuity and self tessellations

Rupak Bose (IIT Bombay), Vikrant Rangnekar (IIT Bombay), Biplab Banerjee (IIT Bombay), Subhasis Chaudhuri (IIT Bombay)

3D Modeling and Reconstruction


A Comparative Survey of Geometric Light Source Calibration Methods

Mariya Kaisheva (Bauhaus-Universität Weimar), Volker Rodehorst (Bauhaus-Universität Weimar)


Quantifying point cloud realism through adversarially learned latent representations

Larissa T Triess (Mercedes-Benz AG), David Peter (Mercedes Benz AG), Stefan A Baur (Mercedes Benz AG), J. Marius Zöllner (Karlsruhe Institute of Technology)


Full-Glow: Fully conditional Glow for more realistic image generation

Moein Sorkhei (KTH Royal Institute of Technology), Gustav Eje Henter (KTH Royal Institute of Technology), Hedvig Kjellström (KTH Royal Institute of Technology)


Multidirectional Conjugate Gradients for Scalable Bundle Adjustment

Simon Weber (Technical University of Munich), Nikolaus Demmel (Technical University of Munich), Daniel Cremers (Technical University of Munich)

Labeling and Self-Supervised Learning


Leveraging Group Annotations in Object Detection Using Graph-Based Pseudo-Labeling

Daniel Pototzky (Robert Bosch GmbH), Matthias Kirschner (Robert Bosch GmbH), Lars Schmidt-Thieme (Universität Hildesheim)


Quantifying Uncertainty of Image Labelings Using Assignment Flows

Daniel Gonzalez (Heidelberg University), Alexander Zeilmann (Heidelberg University), Christoph Schnörr (Heidelberg University)


Implicit and Explicit Attention for Zero-Shot Learning

Faisal Alamri (University of Exeter), Anjan Dutta (University of Exeter)


Self-Supervised Learning for Object Detection in Autonomous Driving

Daniel Pototzky (Robert Bosch GmbH), Azhar Sultan (Robert Bosch GmbH), Matthias Kirschner (Robert Bosch GmbH), Lars Schmidt-Thieme (Universität Hildesheim)


Assignment Flows and Nonlocal PDEs on Graphs

Dmitrij Sitenko (Heidelberg University), Bastian Boll (Heidelberg University), Christoph Schnörr (Heidelberg University)