Accepted Papers

The following papers that have been accepted to GCPR 2025. Congratulations to all the respective authors! See you soon at GCPR 2025 in Freiburg.

[2] EVCS: A Benchmark for Fine-Grained Electric Vehicle Charging Station Detection
Chen, Lin; Südbeck, Sönke; Riggers, Christoph; Geib, Tobias; Cordes, Kai; Broszio, Hellward

[3] MCUCoder: Adaptive Bitrate Learned Video Compression for IoT Devices
Hojjat, Ali; Haberer, Janek; Landsiedel, Olaf

[6] NaT-ReX: Naturalness Assessment with Transformer-Based Reliable Explainability
Emam, Ahmed; Farag, Mohamed; Russwurm, Marc; Roscher, Ribana

[9] subCellSAM: Zero-Shot (Sub-)Cellular Segmentation for Hit Validation in Drug Discovery
Hanimann, Jacob; Siegismund, Daniel; Wieser, Mario; Steigele, Stephan

[15] Efficient Masked Attention Transformer for Few-Shot Classification and Segmentation
Carrion, Dustin; Roth, Stefan; Schaub-Meyer, Simone

[17] MT-Occ: Single-View 3D Occupancy Prediction via Multi-Task Distillation
Li, Zhi; Aljundi, Rahaf; Reino, Daniel; Schiele, Bernt

[21] SegSLR: Promptable Video Segmentation for Isolated Sign Language Recognition
Schreiber, Sven; Sarhan, Noha; Frintrop, Simone; Wilms, Christian

[22] synth-dacl: Does Synthetic Defect Data Enhance Segmentation Accuracy and Robustness for Real-World Bridge Inspections?
Flotzinger, Johannes; Deuser, Fabian; Jaziri, Achref ; Neumann, Heiko; Oswald, Norbert; Ramesh, Visvanathan ; Braml, Thomas

[23] Hierarchical Insights: Exploiting Structural Similarities for Reliable 3D Semantic Segmentation
Dreissig, Mariella; Ruehle, Simon; Piewak, Florian; Boedecker, Joschka

[25] VisualChef: Generating Visual Aids in Cooking via Mask Inpainting
Kuzyk, Oleh; Li, Zuoyue; Pollefeys, Marc; Wang, Xi

[26] FedPCE: Federated Personalized Client Embeddings for Post-training Knowledge Distillation
Hansel, Soma; Kobler, Erich; Effland, Alexander

[27] CoProU-VO: Combining Projected Uncertainty for End-to-End Unsupervised Monocular Visual Odometry
Xie, Jingchao; Dhaouadi, Oussema; Chen, Weirong; Meier, Johannes; Kaiser, Jacques; Cremers, Daniel

[30] Video Object Segmentation-aware Audio Generation
Viertola, Ilpo; Iashin, Vladimir; Rahtu, Esa

[36] Object Risk Estimation for Autonomous Driving Safety
Khan, Abdul Hannan; Shafiq, Syed; van Elst, Ludger; Dengel, Andreas

[38] Rethinking Semi-supervised Segmentation Beyond Accuracy: Robustness and Reliability
Landgraf, Steven; Hillemann, Markus; Ulrich, Markus

[39] A Cascaded Dilated Convolution Approach for Mpox Lesion Classification
Deshmukh, Ayush 

[42] Assessing Foundation Models for Mold Colony Detection with Limited Training Data
Pichler, Henrik; Keuper, Janis; Copping, Matthew

[44] Semantic Segmentation of Structural Damage: A Comparative Study of YOLO11 and Encoder-Decoder Networks
Krefft, Lorenz; Hoegner, Ludwig

[47] Structured Universal Adversarial Attacks on Object Detection for Video Sequences
Jacob, Sven; Shao, Weijia; Kasneci, Gjergji

[48] Investigating Structural Pruning and Recovery Techniques for Compressing Multimodal Large Language Models: An Empirical Study
Huang, Yiran; Thede, Lukas; Mancini, Massimiliano; Xu, Wenjia; Akata, Zeynep

[53] Detection of Synthetic Face Images: Accuracy, Robustness, Generalization
Petrželková, Nela; Čech, Jan

[55] HistDiST: Histopathological Diffusion-based Stain Transfer
Grosskopf, Erik; Bundele, Valay; Hosseinzadeh, Mehran; Lensch, Hendrik

[62] Deep Learning-Assisted Dynamic Mode Decomposition for Non-resonant Background Removal in CARS Spectroscopy
Chalain Valapil, Adithya Ashok; Messerschmidt, Carl; Shadaydeh, Maha; Schmitt, Michael; Popp, Jürgen; Denzler, Joachim

[66] Combining Absolute and Semi-Generalized Relative Poses for Visual Localization
Panek, Vojtech; Sattler, Torsten; Kukelova, Zuzana

[68] Unlocking In-Context Learning for Natural Datasets Beyond Language Modelling
Bratulić, Jelena; Mittal, Sudhanshu; Hoffmann, David; Böhm, Samuel; Schirrmeister, Robin; Ball, Tonio; Rupprecht, Christian; Brox, Thomas

[69] Graph Roof Reconstruction with Synthetic Data from Misaligned Labels
Amrullah, Chaikal; Bittner, Ksenia

[71] sshELF: Single-Shot Hierarchical Extrapolation of Latent Features for 3D Reconstruction from Sparse-Views
Najafli, Eyvaz; Kästingschäfer, Marius; Bernhard, Sebastian; Brox, Thomas; Geiger, Andreas

[72] Can Multitask Learning Enhance Model Explainability?
Najjar, Hiba; Alshbib, Bushra; Dengel, Andreas

[73] Out-of-Distribution Detection in LiDAR Semantic Segmentation Using Epistemic Uncertainty from Hierarchical GMMs
Shojaei Miandashti, Hanieh; Brenner, Claus

[75] γ-Quant: Towards Learnable Quantization for Low-bit Pattern Recognition
Fatima, Mishal; Agnihotri, Shashank; Bock, Marius; Gandikota, Kanchana; Van Laerhoven , Kristof; Moeller, Michael; Keuper, Margret

[77] RadarSeq: A Temporal Vision Framework for User Churn Prediction via Radar Sequence Chart
Najafi, Sina; Sepanj, M.Hadi; Jafari, Fahimeh

[83] Using Knowledge Graphs to harvest datasets for efficient CLIP model training
Ging, Simon; Walter, Sebastian; Bratulić, Jelena; Dienert, Johannes; Bast, Hannah; Brox, Thomas

[87] StorySync: Training-Free Subject Consistency via Region Harmonization
Gaur, Gopalji; Zolfaghari, Mohammadreza; Brox, Thomas

[89] Don’t Miss Out on Novelty: Importance of Novel Features for Deep Anomaly Detection
Sivaprasad, Sarath; Fritz, Mario

[94] LADB: Latent Aligned Diffusion Bridges for Semi-Supervised Domain Translation
Wang, Xuqin; Wu, Tao; Zhang, Yanfeng; Liu, Lu; Wang, Dong; Sun, Mingwei; Wang, Yongliang; Zeller, Niclas; Cremers, Daniel

[99] On the Dangers of Bootstrapping Generation for Continual Learning and Beyond
Zverev, Daniil; Koepke, Almut Sophia; Henriques, Joao

[105] Road Obstacle Video Segmentation
Rai, Shyam Nandan; Karthik, Shyamgopal; Georgescu, Iuliana; Caputo, Barbara; Masone, Carlo ; Akata, Zeynep

[106] Combined Image Data Augmentations diminish the benefits of Adaptive Label Smoothing
Siedel, Georg; Gupta, Ekagra; Shao, Weijia; Vock, Silvia; Morozov, Andrey
 

 

Accepted Papers: Nectar Track

[1] Can We Talk Models Into Seeing the World Differently?
Gavrikov, Paul; Lukasik, Jovita; Jung, Steffen; Geirhos, Robert; Mirza, M. Jehanzeb; Keuper, Margret; Keuper, Janis

[10] FastCAV: Efficient Computation of Concept Activation Vectors for Explaining Deep Neural Networks
Schmalwasser, Laines; Penzel, Niklas; Denzler, Joachim; Niebling, Julia

[11] Probabilistic Embeddings for Frozen Vision-Language Models: Uncertainty Quantification with Gaussian Process Latent Variable Models
Venkataramanan, Aishwarya; Bodesheim, Paul; Denzler, Joachim

[12] SEED4D: A Synthetic Ego–Exo Dynamic 4D Data Generator, Driving Dataset and Benchmark
Kästingschäfer, Marius; Gieruc, Theo; Bernhard, Sebastian; Campbell, Dylan; Insafutdinov, Eldar; Najafli, Eyvaz; Brox, Thomas

[14] Electromyography-Informed Facial Expression Reconstruction for Physiological-Based Synthesis and Analysis
Büchner, Tim; Anders, Christoph; Guntinas-Lichius, Orlando; Denzler, Joachim

[46] Implicit Language Models are RNNs: Balancing Parallelization and Expressivity
Schoene, Mark; Rahmani, Babak; Kremer, Heiner; Falck, Fabian; Ballani, Hitesh; Gladrow, Jannes

[78] HydraViT: Stacking Heads for a Scalable ViT
Haberer, Janek; Hojjat, Ali; Landsiedel, Olaf

[80] Banded Square Root Matrix Factorization for Differentially Private Model Training
Kalinin, Nikita; Lampert, Christoph

[81] CausalRivers - Scaling up benchmarking of causal discovery for real-world time-series
Stein, Gideon; Shadaydeh, Maha; Blunk, Jan; Penzel, Niklas; Denzler, Joachim

[84] DCBM: Data-Efficient Visual Concept Bottleneck Models
Prasse, Katharina; Knab, Patrick; Marton, Sascha; Bartelt, Christian; Keuper, Margret

[91] Prompt-Tuning SAM: From Generalist to Specialist with only 2048 Parameters and 16 Training Images
Piater, Tristan; Barz, Björn; Freytag, Alexander

[100] FAIR-TAT: Improving Model Fairness Using Targeted Adversarial Training
Medi, Tejaswini; Jung, Steffen; Keuper, Margret;

[101] Higher-Order Ratio Cycles for Fast and Globally Optimal Shape Matching
Roetzer, Paul; Ehm, Viktoria; Cremers, Daniel; Lähner, Zorah; Bernard, Florian

[102] PhysicsGen: Can Generative Models Learn from Images to Predict Complex Physical Relations?
Spitznagel, Martin; Vaillant, Jan; Keuper, Janis

[103] High-Resolution 3D Shape Matching with Global Optimality and Geometric Consistency
El Amrani, Nafie; Rötzer, Paul; Bernard, Florian

[104] Removing Cost Volumes from Optical Flow Estimators
Kiefhaber, Simon; Roth, Stefan; Schaub-Meyer, Simone

[109] Can LLMs Separate Instructions From Data? And What Do We Even Mean By That?
Zverev, Egor; Abdelnabi, Sahar; Tabesh, Soroush; Fritz, Mario ; Lampert, Christoph

[111] SOS: Segment Object System for Open-World Instance Segmentation With Object Priors
Wilms, Christian; Rolff, Tim; Hillemann, Maris; Johanson, Robert; Frintrop, Simone

[112] Two Effects, One Trigger: On the Modality Gap, Object Bias, and Information Imbalance in Contrastive Vision-Language Models
Schrodi, Simon; Hoffmann, David; Argus, Max; Fischer, Volker; Brox, Thomas

[113] When and How Does CLIP Enable Domain and Compositional Generalization?
Kempf, Elias; Schrodi, Simon; Argus, Max; Brox, Thomas

[114] Towards Optimizing Large-Scale Multi-Graph Matching in Bioimaging
Kahl, Max; Stricker, Sebastian; Hutschenreither, Lisa; Bernard, Florian; Rother, Carsten; Savchynskyy, Bogdan

[115] Faster Inference of Flow-Based Generative Models via Improved Data-Noise Coupling
Davtyan, Aram; Dadi, Leello Tadesse; Cevher, Volkan; Favaro, Paolo

[116] CAGE: Unsupervised Visual Composition and Animation for Controllable Video Generation
Davtyan, Aram; Sameni, Sepehr; Ommer, Björn; Favaro, Paolo

[117] MANTA: Diffusion Mamba for Efficient and Effective Stochastic Long-Term Dense Action Anticipation
Zatsarynna, Olga; Bahrami, Emad; Abu Farha, Yazan; Francesca, Gianpiero; Gall, Juergen

[118] Scene-Centric Unsupervised Panoptic Segmentation
Hahn, Oliver; Reich, Christoph; Araslanov, Nikita; Cremers, Daniel; Rupprecht, Christian; Roth, Stefan

[119] Using Shapley interactions to understand how models use structure
Misra, Diganta

[120] CutS3D: Cutting Semantics in 3D for 2D Unsupervised Instance Segmentation
Sick, Leon; Engel, Dominik; Hartwig, Sebastian; Hermosilla, Pedro; Ropinski, Timo

[122] VITAL: More Understandable Feature Visualization through Distribution Alignment and Relevant Information Flow
Görgün, Ada; Schiele, Bernt; Fischer, Jonas

[123] AIM: Amending Inherent Interpretability via Self-Supervised Masking
Alshami, Eyad; Agnihotri, Shashank; Schiele, Bernt; Keuper, Margret

[124] The GOOSE Dataset for Perception in Unstructured Environments
Mortimer, Peter; Hagmanns, Raphael; Granero, Miguel; Petereit, Janko; Luettel, Thorsten

[125] DASH: Detection and Assessment of Systematic Hallucinations of VLMs
Augustin, Maximilian; Neuhaus, Yannic; Hein, Matthias

[126] Spatial Reasoning with Denoising Models
Wewer, Christopher; Pogodzinski, Bartlomiej; Schiele, Bernt; Lenssen, Jan

[127] Feed-Forward SceneDINO for Unsupervised Semantic Scene Completion
Jevtić, Aleksandar; Reich, Christoph; Wimbauer, Felix; Hahn, Oliver; Rupprecht, Christian; Roth, Stefan; Cremers, Daniel

[128] Activation Subspaces for Out-of-Distribution Detection
Zöngür, Barış; Hesse, Robin; Roth, Stefan

[129] LeGrad: An Explainability Method for Vision Transformers via Feature Formation Sensitivity
Bousselham, Walid; Boggust, Angie; Chaybouti, Sofian; Strobelt, Hendrik; Kuehne, Hilde

[131] B-cosification: Transforming Deep Neural Networks to be Inherently Interpretable
Arya, Shreyash; Rao, Sukrut; Böhle, Moritz; Schiele, Bernt

[132] VGGSounder: Audio-Visual Evaluations for Foundation Models
Zverev, Daniil; Wiedemer, Thaddäus; Prabhu, Ameya; Bethge, Matthias; Brendel, Wieland; Koepke, A. Sophia

[133] Scribbles for All: Benchmarking Scribble Supervised Segmentation Across Datasets
Boettcher, Wolfgang; Hoyer, Lukas; Uenal, Ozan; Lenssen, Jan Eric; Schiele, Bernt

[134] Do It Yourself: Learning Semantic Correspondence from Pseudo-Labels
Dünkel, Olaf; Wimmer, Thomas; Theobalt, Christian; Rupprecht, Christian; Kortylewski, Adam

[135] TikZero: Zero-Shot Text-Guided Graphics Program Synthesis
Belouadi, Jonas; Ilg, Eddy; Keuper, Margret; Tanaka, Hideki; Utiyama, Masao; Dabre, Raj; Eger, Steffen; Ponzetto, Simone Paolo;

[136] FlowBench: Benchmarking Optical Flow Estimation Methods for Reliability and Generalization
Agnihotri, Shashank; Caspary, Julian; Schwarz, Luca; Gao, Xinyan; Schmalfuss, Jenny; Bruhn, Andres; Keuper, Margret