Analyse des Herzkranzgefäßbaums für die prä- und post-operative Diagnose. - Hildegard Koehler; Sahla Bouattour; Dietrich Paulus; Michel Couprie (Bildverarbeitung für die Medizin, 2004)

Extraction and analysis of coronary tree from single x-ray angiographies. - Hildegard Koehler; Michel Couprie; Sahla Bouattour; Dietrich Paulus (Image-Guided Procedures, 2004)

HMM-based human motion recognition with optical flow data. - Dirk Gehrig; Hildegard Kuehne; Annika Woerner; Tanja Schultz (Humanoids, 2009)

An iterative scheme for motion-based scene segmentation. - Alexander Bachmann 001; Hildegard Kuehne (ICCV Workshops, 2009)

Motion-based Feature Clustering for Articulated Body Tracking. - Hildegard Kuehne; Annika Woerner (VISAPP (1), 2009)

Motion Segmentation of Articulated Structures by Integration of Visual Perception Criteria. - Hildegard Kuehne; Annika Woerner (VISAPP (2), 2010)

HMDB: A large video database for human motion recognition. - Hildegard Kuehne; Hueihan Jhuang; Estíbaliz Garrote; Tomaso A. Poggio; Thomas Serre (ICCV, 2011)

Combined intention, activity, and motion recognition for a humanoid household robot. - Dirk Gehrig; Peter Krauthausen; Lukas Rybok; Hildegard Kuehne; Uwe D. Hanebeck; Tanja Schultz; Rainer Stiefelhagen (IROS, 2011)

On-line Action Recognition from Sparse Feature Flow. - Hildegard Kuehne; Dirk Gehrig; Tanja Schultz; Rainer Stiefelhagen (VISAPP (1), 2012)

The Language of Actions: Recovering the Syntax and Semantics of Goal-Directed Human Activities. - Hilde Kuehne; Ali Bilgin Arslan; Thomas Serre (CVPR, 2014)

Cooking in the kitchen: A generative approach to the recognition, parsing and segmentation of human daily activities. - Hilde Kuehne; Thomas Serre (CoRR, 2015)

Towards a generative approach to activity recognition and segmentation. - Hilde Kuehne; Thomas Serre (CoRR, 2015)

Analysis and recognition of human actions with flow features and temporal models. - Hildegard Kuehne (KIT Scientific Publishing, 2015)

An end-to-end generative framework for video segmentation and recognition. - Hilde Kuehne; Juergen Gall; Thomas Serre (WACV, 2016)

Weakly Supervised Action Learning with RNN Based Fine-to-Coarse Modeling. - Alexander Richard; Hilde Kuehne; Juergen Gall (CVPR, 2017)

Recurrent Residual Learning for Action Recognition. - Ahsan Iqbal; Alexander Richard; Hilde Kuehne; Juergen Gall (GCPR, 2017)

Temporal Action Labeling using Action Sets. - Alexander Richard; Hilde Kuehne; Juergen Gall (CoRR, 2017)

Weakly supervised learning of actions from transcripts. - Hilde Kuehne; Alexander Richard; Juergen Gall (Comput. Vis. Image Underst., 2017)

Action Sets: Weakly Supervised Action Segmentation Without Ordering Constraints. - Alexander Richard; Hilde Kuehne; Juergen Gall (CVPR, 2018)

NeuralNetwork-Viterbi: A Framework for Weakly Supervised Video Learning. - Alexander Richard; Hilde Kuehne; Ahsan Iqbal; Juergen Gall (CVPR, 2018)

WiCV at ECCV2018: The Fifth Women in Computer Vision Workshop. - Zeynep Akata; Dena Bazazian; Yana Hasson; Angjoo Kanazawa; Hildegard Kuehne; Gül Varol (ECCV Workshops (4), 2018)

Unsupervised Learning of Action Classes With Continuous Temporal Embedding. - Anna Kukleva; Hilde Kuehne; Fadime Sener; Jürgen Gall (CVPR, 2019)

More Is Less: Learning Efficient Video Representations by Big-Little Network and Depthwise Temporal Aggregation. - Quanfu Fan; Chun-Fu (Richard) Chen; Hilde Kuehne; Marco Pistoia; David D. Cox (NeurIPS, 2019)

Mining YouTube - A dataset for learning fine-grained action concepts from webly supervised video data. - Hilde Kuehne; Ahsan Iqbal; Alexander Richard; Juergen Gall (CoRR, 2019)

Joint Visual-Temporal Embedding for Unsupervised Learning of Actions in Untrimmed Sequences. - Rosaura G. VidalMata; Walter J. Scheirer; Hilde Kuehne (CoRR, 2020)

A Hybrid RNN-HMM Approach for Weakly Supervised Temporal Action Segmentation. - Hilde Kuehne; Alexander Richard; Juergen Gall (IEEE Trans. Pattern Anal. Mach. Intell., 2020)

Found a Reason for me? Weakly-supervised Grounded Visual Question Answering using Capsules. - Aisha Urooj Khan; Hilde Kuehne; Kevin Duarte; Chuang Gan 001; Niels da Vitoria Lobo; Mubarak Shah (CVPR, 2021)

Detector-Free Weakly Supervised Grounding by Separation. - Assaf Arbelle; Sivan Doveh; Amit Alfassy; Joseph Shtok; Guy Lev; Eli Schwartz; Hilde Kuehne; Hila Barak Levi; Prasanna Sattigeri; Rameswar Panda; Chun-Fu Chen 001; Alex M. Bronstein; et al. (ICCV, 2021)

Multimodal Clustering Networks for Self-supervised Learning from Unlabeled Videos. - Brian Chen 001; Andrew Rouditchenko; Kevin Duarte; Hilde Kuehne; Samuel Thomas 001; Angie W. Boggust; Rameswar Panda; Brian Kingsbury; Rogério Feris; David Harwath; James R. Glass; Michael Picheny; et al. (ICCV, 2021)

Generalized and Incremental Few-Shot Learning by Explicit Learning and Calibration without Forgetting. - Anna Kukleva; Hilde Kuehne; Bernt Schiele (ICCV, 2021)

Unsupervised Discriminative Embedding For Sub-Action Learning in Complex Activities. - Sirnam Swetha; Hilde Kuehne; Yogesh S. Rawat; Mubarak Shah (ICIP, 2021)

Differentiable Sorting Networks for Scalable Sorting and Ranking Supervision. - Felix Petersen; Christian Borgelt; Hilde Kuehne; Oliver Deussen (ICML, 2021)

Cascaded Multilingual Audio-Visual Learning from Videos. - Andrew Rouditchenko; Angie W. Boggust; David Harwath; Samuel Thomas 001; Hilde Kuehne; Brian Chen 001; Rameswar Panda; Rogério Feris; Brian Kingsbury; Michael Picheny; James R. Glass (Interspeech, 2021)

AVLnet: Learning Audio-Visual Language Representations from Instructional Videos. - Andrew Rouditchenko; Angie W. Boggust; David Harwath; Brian Chen 001; Dhiraj Joshi; Samuel Thomas 001; Kartik Audhkhasi; Hilde Kuehne; Rameswar Panda; Rogério Schmidt Feris; Brian Kingsbury; Michael Picheny; et al. (Interspeech, 2021)

Learning with Algorithmic Supervision via Continuous Relaxations. - Felix Petersen; Christian Borgelt; Hilde Kuehne; Oliver Deussen (NeurIPS, 2021)

Joint Visual-Temporal Embedding for Unsupervised Learning of Actions in Untrimmed Sequences. - Rosaura G. VidalMata; Walter J. Scheirer; Anna Kukleva; David D. Cox; Hilde Kuehne (WACV, 2021)

Routing with Self-Attention for Multimodal Capsule Networks. - Kevin Duarte; Brian Chen 001; Nina Shvetsova; Andrew Rouditchenko; Samuel Thomas 001; Alexander H. Liu; David Harwath; James R. Glass; Hilde Kuehne; Mubarak Shah (CoRR, 2021)

Unsupervised Domain Generalization by Learning a Bridge Across Domains. - Sivan Harary; Eli Schwartz; Assaf Arbelle; Peter W. J. Staar; Shady Abu-Hussein; Elad Amrani; Roei Herzig; Amit Alfassy; Raja Giryes; Hilde Kuehne; Dina Katabi; Kate Saenko; et al. (CVPR, 2022)

Everything at Once - Multi-modal Fusion Transformer for Video Retrieval. - Nina Shvetsova; Brian Chen 001; Andrew Rouditchenko; Samuel Thomas 001; Brian Kingsbury; Rogério Feris; David Harwath; James R. Glass; Hilde Kuehne (CVPR, 2022)

Augmentation Learning for Semi-Supervised Classification. - Tim Frommknecht; Pedro Alves Zipf; Quanfu Fan; Nina Shvetsova; Hilde Kuehne (GCPR, 2022)

Weakly Supervised Grounding for VQA in Vision-Language Transformers. - Aisha Urooj Khan; Hilde Kuehne; Chuang Gan 001; Niels da Vitoria Lobo; Mubarak Shah (ECCV (35), 2022)

CycDA: Unsupervised Cycle Domain Adaptation to Learn from Image to Video. - Wei Lin 019; Anna Kukleva; Kunyang Sun; Horst Possegger; Hilde Kuehne; Horst Bischof (ECCV (3), 2022)

Monotonic Differentiable Sorting Networks. - Felix Petersen; Christian Borgelt; Hilde Kuehne; Oliver Deussen (ICLR, 2022)

Differentiable Top-k Classification Learning. - Felix Petersen; Hilde Kuehne; Christian Borgelt; Oliver Deussen (ICML, 2022)

How Transferable are Video Representations Based on Synthetic Data? - Yo-whan Kim; Samarth Mishra; SouYoung Jin; Rameswar Panda; Hilde Kuehne; Leonid Karlinsky; Venkatesh Saligrama; Kate Saenko; Aude Oliva; Rogério Feris (NeurIPS, 2022)

Deep Differentiable Logic Gate Networks. - Felix Petersen; Christian Borgelt; Hilde Kuehne; Oliver Deussen (NeurIPS, 2022)

Style Agnostic 3D Reconstruction via Adversarial Style Transfer. - Felix Petersen; Bastian Goldluecke; Oliver Deussen; Hilde Kuehne (WACV, 2022)

CycDA: Unsupervised Cycle Domain Adaptation from Image to Video. - Wei Lin 019; Anna Kukleva; Kunyang Sun; Horst Possegger; Hilde Kuehne; Horst Bischof (CoRR, 2022)

VL-Taboo: An Analysis of Attribute-based Zero-shot Capabilities of Vision-Language Models. - Felix Vogel; Nina Shvetsova; Leonid Karlinsky; Hilde Kuehne (CoRR, 2022)

Learning Situation Hyper-Graphs for Video Question Answering. - Aisha Urooj Khan; Hilde Kuehne; Bo Wu 018; Kim Chheu; Walid Bousselham; Chuang Gan 001; Niels da Vitoria Lobo; Mubarak Shah (CVPR, 2023)

Video Test-Time Adaptation for Action Recognition. - Wei Lin 019; Muhammad Jehanzeb Mirza; Mateusz Kozinski; Horst Possegger; Hilde Kuehne; Horst Bischof (CVPR, 2023)

TAEC: Unsupervised Action Segmentation with Temporal-Aware Embedding and Clustering. - Wei Lin 019; Anna Kukleva; Horst Possegger; Hilde Kuehne; Horst Bischof (CVWW, 2023)

C2KD: Cross-Lingual Cross-Modal Knowledge Distillation for Multilingual Text-Video Retrieval. - Andrew Rouditchenko; Yung-Sung Chuang; Nina Shvetsova; Samuel Thomas 001; Rogério Feris; Brian Kingsbury; Leonid Karlinsky; David Harwath; Hilde Kuehne; James R. Glass (ICASSP, 2023)

MAtch, eXpand and Improve: Unsupervised Finetuning for Zero-Shot Action Recognition with Language Knowledge. - Wei Lin 019; Leonid Karlinsky; Nina Shvetsova; Horst Possegger; Mateusz Kozinski; Rameswar Panda; Rogério Feris; Hilde Kuehne; Horst Bischof (ICCV, 2023)

In-Style: Bridging Text and Uncurated Videos with Style Transfer for Text-Video Retrieval. - Nina Shvetsova; Anna Kukleva; Bernt Schiele; Hilde Kuehne (ICCV, 2023)

Learning by Sorting: Self-supervised Learning with Group Ordering Constraints. - Nina Shvetsova; Felix Petersen; Anna Kukleva; Bernt Schiele; Hilde Kuehne (ICCV, 2023)

Preserving Modality Structure Improves Multi-Modal Learning. - Sirnam Swetha; Mamshad Nayeem Rizve; Nina Shvetsova; Hilde Kuehne; Mubarak Shah (ICCV, 2023)

Contrastive Audio-Visual Masked Autoencoder. - Yuan Gong 001; Andrew Rouditchenko; Alexander H. Liu; David Harwath; Leonid Karlinsky; Hilde Kuehne; James R. Glass (ICLR, 2023)

Temperature Schedules for self-supervised contrastive methods on long-tail data. - Anna Kukleva; Moritz Böhle; Bernt Schiele; Hilde Kuehne; Christian Rupprecht 001 (ICLR, 2023)

ISAAC Newton: Input-based Approximate Curvature for Newton's Method. - Felix Petersen; Tobias Sutter; Christian Borgelt; Dongsung Huh; Hilde Kuehne; Yuekai Sun; Oliver Deussen (ICLR, 2023)

Comparison of Multilingual Self-Supervised and Weakly-Supervised Speech Pre-Training for Adaptation to Unseen Languages. - Andrew Rouditchenko; Sameer Khurana; Samuel Thomas 001; Rogério Feris; Leonid Karlinsky; Hilde Kuehne; David Harwath; Brian Kingsbury; James R. Glass (INTERSPEECH, 2023)

Learning Human Action Recognition Representations Without Real Humans. - Howard Zhong; Samarth Mishra; Donghyun Kim 006; SouYoung Jin; Rameswar Panda; Hilde Kuehne; Leonid Karlinsky; Venkatesh Saligrama; Aude Oliva; Rogério Feris (NeurIPS, 2023)

WEAR: A Multimodal Dataset for Wearable and Egocentric Video Activity Recognition. - Marius Bock; Michael Moeller 001; Kristof Van Laerhoven; Hilde Kuehne (CoRR, 2023)

What, When, and Where? Self-Supervised Spatio- Temporal Grounding in Untrimmed Multi-Action Videos from Narrated Instructions. - Brian Chen 001; Nina Shvetsova; Andrew Rouditchenko; Daniel Kondermann; Samuel Thomas 001; Shih-Fu Chang; Rogério Feris; James R. Glass; Hilde Kuehne (CVPR, 2024)

Grounding Everything: Emerging Localization Properties in Vision-Language Transformers. - Walid Bousselham; Felix Petersen; Vittorio Ferrari; Hilde Kuehne (CVPR, 2024)

Meta-prompting for Automating Zero-Shot Visual Recognition with LLMs. - Muhammad Jehanzeb Mirza; Leonid Karlinsky; Wei Lin 019; Sivan Doveh; Jakub Micorek; Mateusz Kozinski; Hilde Kuehne; Horst Possegger (ECCV (2), 2024)

HowToCaption: Prompting LLMs to Transform Video Annotations at Scale. - Nina Shvetsova; Anna Kukleva; Xudong Hong 002; Christian Rupprecht 001; Bernt Schiele; Hilde Kuehne (ECCV (56), 2024)

Uncertainty Quantification via Stable Distribution Propagation. - Felix Petersen; Aashwin Ananda Mishra; Hilde Kuehne; Christian Borgelt; Oliver Deussen; Mikhail Yurochkin (ICLR, 2024)

Whisper-Flamingo: Integrating Visual Features into Whisper for Audio-Visual Speech Recognition and Translation. - Andrew Rouditchenko; Yuan Gong 001; Samuel Thomas 001; Leonid Karlinsky; Hilde Kuehne; Rogério Feris; James Glass 001 (INTERSPEECH, 2024)

ConMe: Rethinking Evaluation of Compositional Reasoning for Modern VLMs. - Irene Huang; Wei Lin 019; Muhammad Jehanzeb Mirza; Jacob A. Hansen; Sivan Doveh; Victor Butoi; Roei Herzig; Assaf Arbelle; Hilde Kuehne; Trevor Darrell; Chuang Gan 001; Aude Oliva; et al. (NeurIPS, 2024)

Newton Losses: Using Curvature Information for Learning with Differentiable Algorithms. - Felix Petersen; Christian Borgelt; Tobias Sutter; Hilde Kuehne; Oliver Deussen; Stefano Ermon (NeurIPS, 2024)

Convolutional Differentiable Logic Gate Networks. - Felix Petersen; Hilde Kuehne; Christian Borgelt; Julian Welzel; Stefano Ermon (NeurIPS, 2024)

DASS: Distilled Audio State Space Models are Stronger and More Duration-Scalable Learners. - Saurabhchand Bhati; Yuan Gong 001; Leonid Karlinsky; Hilde Kuehne; Rogério Feris; James R. Glass (SLT, 2024)

LeGrad: An Explainability Method for Vision Transformers via Feature Formation Sensitivity. - Walid Bousselham; Angie W. Boggust; Sofian Chaybouti; Hendrik Strobelt; Hilde Kuehne (CoRR, 2024)

MaskInversion: Localized Embeddings via Optimization of Explainability Maps. - Walid Bousselham; Sofian Chaybouti; Christian Rupprecht 001; Vittorio Ferrari; Hilde Kuehne (CoRR, 2024)

Teaching VLMs to Localize Specific Objects from In-context Examples. - Sivan Doveh; Nimrod Shabtay; Wei Lin 019; Eli Schwartz; Hilde Kuehne; Raja Giryes; Rogério Feris; Leonid Karlinsky; James R. Glass; Assaf Arbelle; Shimon Ullman; Muhammad Jehanzeb Mirza (CoRR, 2024)

State-Space Large Audio Language Models. - Saurabhchand Bhati; Yuan Gong 001; Leonid Karlinsky; Hilde Kuehne; Rogério Feris; James R. Glass (CoRR, 2024)

WEAR: An Outdoor Sports Dataset for Wearable and Egocentric Activity Recognition. - Marius Bock; Hilde Kuehne; Kristof Van Laerhoven; Michael Möller 001 (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2024)

CAV-MAE Sync: Improving Contrastive Audio-Visual Mask Autoencoders via Fine-Grained Alignment. - Edson Araujo; Andrew Rouditchenko; Yuan Gong 001; Saurabhchand Bhati; Samuel Thomas 001; Brian Kingsbury; Leonid Karlinsky; Rogério Feris; James R. Glass; Hilde Kuehne (CVPR, 2025)

Unbiasing through Textual Descriptions: Mitigating Representation Bias in Video Benchmarks. - Nina Shvetsova; Arsha Nagrani; Bernt Schiele; Hilde Kuehne; Christian Rupprecht 001 (CVPR, 2025)

VideoGEM: Training-free Action Grounding in Videos. - Felix Vogel; Walid Bousselham; Anna Kukleva; Nina Shvetsova; Hilde Kuehne (CVPR, 2025)

Fréchet Wavelet Distance: A Domain-Agnostic Metric for Image Generation. - Lokesh Veeramacheneni; Moritz Wolter; Hilde Kuehne; Juergen Gall (ICLR, 2025)

mWhisper-Flamingo for Multilingual Audio-Visual Noise-Robust Speech Recognition. - Andrew Rouditchenko; Samuel Thomas 001; Hilde Kuehne; Rogério Feris; James R. Glass (IEEE Signal Process. Lett., 2025)

TimeLogic: A Temporal Logic Benchmark for Video QA. - Sirnam Swetha; Hilde Kuehne; Mubarak Shah (CoRR, 2025)

Granite Vision: a lightweight, open-source multimodal model for enterprise Intelligence. - Leonid Karlinsky; Assaf Arbelle; Abraham Daniels; Ahmed Nassar; Amit Alfassi; Bo Wu 018; Eli Schwartz; Dhiraj Joshi; Jovana Kondic; Nimrod Shabtay; Pengyuan Li 001; Roei Herzig; et al. (CoRR, 2025)

REVEAL: Relation-based Video Representation Learning for Video-Question-Answering. - Sofian Chaybouti; Walid Bousselham; Moritz Wolter; Hilde Kuehne (CoRR, 2025)

Omni-R1: Do You Really Need Audio to Fine-Tune Your Audio LLM? - Andrew Rouditchenko; Saurabhchand Bhati; Edson Araujo; Samuel Thomas 001; Hilde Kuehne; Rogério Feris; James R. Glass (CoRR, 2025)

M2SVid: End-to-End Inpainting and Refinement for Monocular-to-Stereo Video Conversion. - Nina Shvetsova; Goutam Bhat; Prune Truong; Hilde Kuehne; Federico Tombari (CoRR, 2025)

Dual Guidance Semi-Supervised Action Detection. - Ankit Singh; Efstratios Gavves; Cees G. M. Snoek; Hilde Kuehne (CoRR, 2025)