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Hilde Kuehne
Hildegard Kuehne – Hildegard Koehler
Person information
- affiliation: University of Bonn, Institute of Computer Science, Germany
- affiliation: Fraunhofer Institute for Communication, Information Processing and Ergonomics (FKIE), Wachtberg, Germany
- affiliation: Karlsruhe Institute of Technology, cv:hci, Germany
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2020 – today
- 2024
- [c56]Walid Bousselham, Felix Petersen, Vittorio Ferrari, Hilde Kuehne:
Grounding Everything: Emerging Localization Properties in Vision-Language Transformers. CVPR 2024: 3828-3837 - [c55]Brian Chen, Nina Shvetsova, Andrew Rouditchenko, Daniel Kondermann, Samuel Thomas, Shih-Fu Chang, Rogério Feris, James R. Glass, Hilde Kuehne:
What, When, and Where? Self-Supervised Spatio- Temporal Grounding in Untrimmed Multi-Action Videos from Narrated Instructions. CVPR 2024: 18419-18429 - [c54]Nina Shvetsova, Anna Kukleva, Xudong Hong, Christian Rupprecht, Bernt Schiele, Hilde Kuehne:
HowToCaption: Prompting LLMs to Transform Video Annotations at Scale. ECCV (56) 2024: 1-18 - [c53]Muhammad Jehanzeb Mirza, Leonid Karlinsky, Wei Lin, Sivan Doveh, Jakub Micorek, Mateusz Kozinski, Hilde Kuehne, Horst Possegger:
Meta-prompting for Automating Zero-Shot Visual Recognition with LLMs. ECCV (2) 2024: 370-387 - [c52]Felix Petersen, Aashwin Ananda Mishra, Hilde Kuehne, Christian Borgelt, Oliver Deussen, Mikhail Yurochkin:
Uncertainty Quantification via Stable Distribution Propagation. ICLR 2024 - [i54]Felix Petersen, Aashwin Ananda Mishra, Hilde Kuehne, Christian Borgelt, Oliver Deussen, Mikhail Yurochkin:
Uncertainty Quantification via Stable Distribution Propagation. CoRR abs/2402.08324 (2024) - [i53]Muhammad Jehanzeb Mirza, Leonid Karlinsky, Wei Lin, Sivan Doveh, Jakub Micorek, Mateusz Kozinski, Hilde Kuehne, Horst Possegger:
Meta-Prompting for Automating Zero-shot Visual Recognition with LLMs. CoRR abs/2403.11755 (2024) - [i52]Walid Bousselham, Angie W. Boggust, Sofian Chaybouti, Hendrik Strobelt, Hilde Kuehne:
LeGrad: An Explainability Method for Vision Transformers via Feature Formation Sensitivity. CoRR abs/2404.03214 (2024) - [i51]Irene Huang, Wei Lin, Muhammad Jehanzeb Mirza, Jacob A. Hansen, Sivan Doveh, Victor Ion Butoi, Roei Herzig, Assaf Arbelle, Hilde Kuehne, Trevor Darrell, Chuang Gan, Aude Oliva, Rogério Feris, Leonid Karlinsky:
ConMe: Rethinking Evaluation of Compositional Reasoning for Modern VLMs. CoRR abs/2406.08164 (2024) - [i50]Andrew Rouditchenko, Yuan Gong, Samuel Thomas, Leonid Karlinsky, Hilde Kuehne, Rogério Feris, James R. Glass:
Whisper-Flamingo: Integrating Visual Features into Whisper for Audio-Visual Speech Recognition and Translation. CoRR abs/2406.10082 (2024) - [i49]Walid Bousselham, Sofian Chaybouti, Christian Rupprecht, Vittorio Ferrari, Hilde Kuehne:
MaskInversion: Localized Embeddings via Optimization of Explainability Maps. CoRR abs/2407.20034 (2024) - 2023
- [c51]Aisha Urooj Khan, Hilde Kuehne, Bo Wu, Kim Chheu, Walid Bousselham, Chuang Gan, Niels da Vitoria Lobo, Mubarak Shah:
Learning Situation Hyper-Graphs for Video Question Answering. CVPR 2023: 14879-14889 - [c50]Wei Lin, Muhammad Jehanzeb Mirza, Mateusz Kozinski, Horst Possegger, Hilde Kuehne, Horst Bischof
:
Video Test-Time Adaptation for Action Recognition. CVPR 2023: 22952-22961 - [c49]Wei Lin, Anna Kukleva, Horst Possegger, Hilde Kuehne, Horst Bischof:
TAEC: Unsupervised Action Segmentation with Temporal-Aware Embedding and Clustering. CVWW 2023 - [c48]Andrew Rouditchenko, Yung-Sung Chuang, Nina Shvetsova, Samuel Thomas, Rogério Feris, Brian Kingsbury, Leonid Karlinsky, David Harwath, Hilde Kuehne, James R. Glass:
C2KD: Cross-Lingual Cross-Modal Knowledge Distillation for Multilingual Text-Video Retrieval. ICASSP 2023: 1-5 - [c47]Wei Lin, Leonid Karlinsky, Nina Shvetsova, Horst Possegger, Mateusz Kozinski, Rameswar Panda, Rogério Feris, Hilde Kuehne, Horst Bischof:
MAtch, eXpand and Improve: Unsupervised Finetuning for Zero-Shot Action Recognition with Language Knowledge. ICCV 2023: 2839-2850 - [c46]Nina Shvetsova, Felix Petersen, Anna Kukleva, Bernt Schiele, Hilde Kuehne:
Learning by Sorting: Self-supervised Learning with Group Ordering Constraints. ICCV 2023: 16407-16417 - [c45]Nina Shvetsova, Anna Kukleva, Bernt Schiele, Hilde Kuehne:
In-Style: Bridging Text and Uncurated Videos with Style Transfer for Text-Video Retrieval. ICCV 2023: 21924-21935 - [c44]Sirnam Swetha, Mamshad Nayeem Rizve, Nina Shvetsova, Hilde Kuehne, Mubarak Shah:
Preserving Modality Structure Improves Multi-Modal Learning. ICCV 2023: 21936-21946 - [c43]Yuan Gong
Contrastive Audio-Visual Masked Autoencoder. ICLR 2023 - [c42]Anna Kukleva, Moritz Böhle, Bernt Schiele
Temperature Schedules for self-supervised contrastive methods on long-tail data. ICLR 2023 - [c41]Felix Petersen, Tobias Sutter, Christian Borgelt, Dongsung Huh, Hilde Kuehne, Yuekai Sun, Oliver Deussen:
ISAAC Newton: Input-based Approximate Curvature for Newton's Method. ICLR 2023 - [c40]Andrew Rouditchenko, Sameer Khurana, Samuel Thomas, Rogério Feris, Leonid Karlinsky, Hilde Kuehne, David Harwath, Brian Kingsbury, James R. Glass:
Comparison of Multilingual Self-Supervised and Weakly-Supervised Speech Pre-Training for Adaptation to Unseen Languages. INTERSPEECH 2023: 2268-2272 - [c39]Howard Zhong, Samarth Mishra, Donghyun Kim, SouYoung Jin, Rameswar Panda, Hilde Kuehne, Leonid Karlinsky, Venkatesh Saligrama, Aude Oliva, Rogério Feris:
Learning Human Action Recognition Representations Without Real Humans. NeurIPS 2023 - [i48]Nina Shvetsova, Felix Petersen, Anna Kukleva, Bernt Schiele
Learning by Sorting: Self-supervised Learning with Group Ordering Constraints. CoRR abs/2301.02009 (2023) - [i47]Wei Lin, Anna Kukleva, Horst Possegger, Hilde Kuehne
TAEC: Unsupervised Action Segmentation with Temporal-Aware Embedding and Clustering. CoRR abs/2303.05166 (2023) - [i46]Wei Lin, Leonid Karlinsky, Nina Shvetsova, Horst Possegger, Mateusz Kozinski, Rameswar Panda, Rogério Feris, Hilde Kuehne
MAtch, eXpand and Improve: Unsupervised Finetuning for Zero-Shot Action Recognition with Language Knowledge. CoRR abs/2303.08914 (2023) - [i45]Anna Kukleva, Moritz Böhle, Bernt Schiele
Temperature Schedules for Self-Supervised Contrastive Methods on Long-Tail Data. CoRR abs/2303.13664 (2023) - [i44]Brian Chen, Nina Shvetsova, Andrew Rouditchenko, Daniel Kondermann, Samuel Thomas, Shih-Fu Chang, Rogério Feris, James R. Glass, Hilde Kuehne
What, when, and where? - Self-Supervised Spatio-Temporal Grounding in Untrimmed Multi-Action Videos from Narrated Instructions. CoRR abs/2303.16990 (2023) - [i43]Marius Bock
WEAR: A Multimodal Dataset for Wearable and Egocentric Video Activity Recognition. CoRR abs/2304.05088 (2023) - [i42]Aisha Urooj Khan, Hilde Kuehne
Learning Situation Hyper-Graphs for Video Question Answering. CoRR abs/2304.08682 (2023) - [i41]Felix Petersen, Tobias Sutter, Christian Borgelt, Dongsung Huh, Hilde Kuehne
ISAAC Newton: Input-based Approximate Curvature for Newton's Method. CoRR abs/2305.00604 (2023) - [i40]Andrew Rouditchenko, Sameer Khurana, Samuel Thomas, Rogério Feris, Leonid Karlinsky, Hilde Kuehne, David Harwath, Brian Kingsbury, James R. Glass:
Comparison of Multilingual Self-Supervised and Weakly-Supervised Speech Pre-Training for Adaptation to Unseen Languages. CoRR abs/2305.12606 (2023) - [i39]Sirnam Swetha, Mamshad Nayeem Rizve, Nina Shvetsova, Hilde Kuehne, Mubarak Shah:
Preserving Modality Structure Improves Multi-Modal Learning. CoRR abs/2308.13077 (2023) - [i38]Nina Shvetsova, Anna Kukleva, Bernt Schiele, Hilde Kuehne:
In-Style: Bridging Text and Uncurated Videos with Style Transfer for Text-Video Retrieval. CoRR abs/2309.08928 (2023) - [i37]Nina Shvetsova, Anna Kukleva, Xudong Hong, Christian Rupprecht, Bernt Schiele, Hilde Kuehne:
HowToCaption: Prompting LLMs to Transform Video Annotations at Scale. CoRR abs/2310.04900 (2023) - [i36]Howard Zhong, Samarth Mishra, Donghyun Kim
Learning Human Action Recognition Representations Without Real Humans. CoRR abs/2311.06231 (2023) - [i35]Walid Bousselham, Felix Petersen, Vittorio Ferrari, Hilde Kuehne:
Grounding Everything: Emerging Localization Properties in Vision-Language Transformers. CoRR abs/2312.00878 (2023) - 2022
- [c38]Sivan Harary, Eli Schwartz, Assaf Arbelle, Peter W. J. Staar, Shady Abu-Hussein, Elad Amrani, Roei Herzig, Amit Alfassy, Raja Giryes, Hilde Kuehne
Unsupervised Domain Generalization by Learning a Bridge Across Domains. CVPR 2022: 5270-5280 - [c37]Nina Shvetsova, Brian Chen, Andrew Rouditchenko, Samuel Thomas, Brian Kingsbury, Rogério Feris, David Harwath, James R. Glass, Hilde Kuehne
Everything at Once - Multi-modal Fusion Transformer for Video Retrieval. CVPR 2022: 19988-19997 - [c36]Tim Frommknecht, Pedro Alves Zipf, Quanfu Fan, Nina Shvetsova, Hilde Kuehne
Augmentation Learning for Semi-Supervised Classification. GCPR 2022: 85-98 - [c35]Aisha Urooj Khan
Weakly Supervised Grounding for VQA in Vision-Language Transformers. ECCV (35) 2022: 652-670 - [c34]Wei Lin, Anna Kukleva, Kunyang Sun, Horst Possegger
CycDA: Unsupervised Cycle Domain Adaptation to Learn from Image to Video. ECCV (3) 2022: 698-715 - [c33]Felix Petersen, Christian Borgelt, Hilde Kuehne, Oliver Deussen:
Monotonic Differentiable Sorting Networks. ICLR 2022 - [c32]Felix Petersen, Hilde Kuehne, Christian Borgelt, Oliver Deussen:
Differentiable Top-k Classification Learning. ICML 2022: 17656-17668 - [c31]Yo-whan Kim, Samarth Mishra, SouYoung Jin, Rameswar Panda, Hilde Kuehne, Leonid Karlinsky, Venkatesh Saligrama, Kate Saenko, Aude Oliva, Rogério Feris:
How Transferable are Video Representations Based on Synthetic Data? NeurIPS 2022 - [c30]Felix Petersen, Christian Borgelt, Hilde Kuehne, Oliver Deussen:
Deep Differentiable Logic Gate Networks. NeurIPS 2022 - [c29]Felix Petersen, Bastian Goldluecke, Oliver Deussen, Hilde Kuehne
Style Agnostic 3D Reconstruction via Adversarial Style Transfer. WACV 2022: 2273-2282 - [i34]Felix Petersen, Christian Borgelt, Hilde Kuehne, Oliver Deussen:
Monotonic Differentiable Sorting Networks. CoRR abs/2203.09630 (2022) - [i33]Wei Lin, Anna Kukleva, Kunyang Sun, Horst Possegger, Hilde Kuehne
CycDA: Unsupervised Cycle Domain Adaptation from Image to Video. CoRR abs/2203.16244 (2022) - [i32]Felix Petersen, Hilde Kuehne
Differentiable Top-k Classification Learning. CoRR abs/2206.07290 (2022) - [i31]Aisha Urooj Khan, Hilde Kuehne
Weakly Supervised Grounding for VQA in Vision-Language Transformers. CoRR abs/2207.02334 (2022) - [i30]Tim Frommknecht, Pedro Alves Zipf, Quanfu Fan, Nina Shvetsova, Hilde Kuehne
Augmentation Learning for Semi-Supervised Classification. CoRR abs/2208.01956 (2022) - [i29]Felix Vogel, Nina Shvetsova, Leonid Karlinsky, Hilde Kuehne
VL-Taboo: An Analysis of Attribute-based Zero-shot Capabilities of Vision-Language Models. CoRR abs/2209.06103 (2022) - [i28]Andrew Rouditchenko, Yung-Sung Chuang, Nina Shvetsova, Samuel Thomas, Rogério Feris, Brian Kingsbury, Leonid Karlinsky, David Harwath, Hilde Kuehne, James R. Glass:
C2KD: Cross-Lingual Cross-Modal Knowledge Distillation for Multilingual Text-Video Retrieval. CoRR abs/2210.03625 (2022) - [i27]Yuan Gong
Contrastive Audio-Visual Masked Autoencoder. CoRR abs/2210.07839 (2022) - [i26]Felix Petersen, Christian Borgelt, Hilde Kuehne
Deep Differentiable Logic Gate Networks. CoRR abs/2210.08277 (2022) - [i25]Wei Lin, Muhammad Jehanzeb Mirza, Mateusz Kozinski, Horst Possegger, Hilde Kuehne
Video Test-Time Adaptation for Action Recognition. CoRR abs/2211.15393 (2022) - 2021
- [c28]Aisha Urooj Khan, Hilde Kuehne
Found a Reason for me? Weakly-supervised Grounded Visual Question Answering using Capsules. CVPR 2021: 8465-8474 - [c27]Assaf Arbelle, Sivan Doveh, Amit Alfassy, Joseph Shtok, Guy Lev, Eli Schwartz, Hilde Kuehne
Detector-Free Weakly Supervised Grounding by Separation. ICCV 2021: 1781-1792 - [c26]Brian Chen, Andrew Rouditchenko, Kevin Duarte, Hilde Kuehne
Multimodal Clustering Networks for Self-supervised Learning from Unlabeled Videos. ICCV 2021: 7992-8001 - [c25]Anna Kukleva, Hilde Kuehne, Bernt Schiele
Generalized and Incremental Few-Shot Learning by Explicit Learning and Calibration without Forgetting. ICCV 2021: 9000-9009 - [c24]Sirnam Swetha, Hilde Kuehne
Unsupervised Discriminative Embedding For Sub-Action Learning in Complex Activities. ICIP 2021: 2588-2592 - [c23]Felix Petersen
Differentiable Sorting Networks for Scalable Sorting and Ranking Supervision. ICML 2021: 8546-8555 - [c22]Andrew Rouditchenko, Angie W. Boggust, David Harwath, Brian Chen, Dhiraj Joshi, Samuel Thomas, Kartik Audhkhasi, Hilde Kuehne
AVLnet: Learning Audio-Visual Language Representations from Instructional Videos. Interspeech 2021: 1584-1588 - [c21]Andrew Rouditchenko, Angie W. Boggust, David Harwath, Samuel Thomas, Hilde Kuehne
Cascaded Multilingual Audio-Visual Learning from Videos. Interspeech 2021: 3006-3010 - [c20]Felix Petersen, Christian Borgelt, Hilde Kuehne, Oliver Deussen:
Learning with Algorithmic Supervision via Continuous Relaxations. NeurIPS 2021: 16520-16531 - [c19]Rosaura G. VidalMata
Joint Visual-Temporal Embedding for Unsupervised Learning of Actions in Untrimmed Sequences. WACV 2021: 1237-1246 - [i24]Assaf Arbelle, Sivan Doveh, Amit Alfassy, Joseph Shtok, Guy Lev, Eli Schwartz, Hilde Kuehne, Hila Barak Levi, Prasanna Sattigeri, Rameswar Panda, Chun-Fu Chen, Alex M. Bronstein, Kate Saenko, Shimon Ullman, Raja Giryes, Rogério Feris, Leonid Karlinsky:
Detector-Free Weakly Supervised Grounding by Separation. CoRR abs/2104.09829 (2021) - [i23]Brian Chen, Andrew Rouditchenko, Kevin Duarte, Hilde Kuehne, Samuel Thomas, Angie W. Boggust, Rameswar Panda, Brian Kingsbury, Rogério Schmidt Feris, David Harwath, James R. Glass, Michael Picheny, Shih-Fu Chang:
Multimodal Clustering Networks for Self-supervised Learning from Unlabeled Videos. CoRR abs/2104.12671 (2021) - [i22]Sirnam Swetha, Hilde Kuehne, Yogesh S. Rawat, Mubarak Shah:
Unsupervised Discriminative Embedding for Sub-Action Learning in Complex Activities. CoRR abs/2105.00067 (2021) - [i21]Felix Petersen, Christian Borgelt, Hilde Kuehne, Oliver Deussen:
Differentiable Sorting Networks for Scalable Sorting and Ranking Supervision. CoRR abs/2105.04019 (2021) - [i20]Aisha Urooj Khan, Hilde Kuehne, Kevin Duarte, Chuang Gan, Niels da Vitoria Lobo, Mubarak Shah:
Found a Reason for me? Weakly-supervised Grounded Visual Question Answering using Capsules. CoRR abs/2105.04836 (2021) - [i19]Anna Kukleva, Hilde Kuehne, Bernt Schiele:
Generalized and Incremental Few-Shot Learning by Explicit Learning and Calibration without Forgetting. CoRR abs/2108.08165 (2021) - [i18]Felix Petersen, Christian Borgelt, Hilde Kuehne, Oliver Deussen:
Learning with Algorithmic Supervision via Continuous Relaxations. CoRR abs/2110.05651 (2021) - [i17]Felix Petersen, Bastian Goldluecke, Oliver Deussen, Hilde Kuehne:
Style Agnostic 3D Reconstruction via Adversarial Style Transfer. CoRR abs/2110.10784 (2021) - [i16]Andrew Rouditchenko, Angie W. Boggust, David Harwath, Samuel Thomas, Hilde Kuehne, Brian Chen, Rameswar Panda, Rogério Feris, Brian Kingsbury, Michael Picheny, James R. Glass:
Cascaded Multilingual Audio-Visual Learning from Videos. CoRR abs/2111.04823 (2021) - [i15]Kevin Duarte, Brian Chen, Nina Shvetsova, Andrew Rouditchenko, Samuel Thomas, Alexander H. Liu, David Harwath, James R. Glass, Hilde Kuehne, Mubarak Shah:
Routing with Self-Attention for Multimodal Capsule Networks. CoRR abs/2112.00775 (2021) - [i14]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, Rogério Feris, Leonid Karlinsky:
Unsupervised Domain Generalization by Learning a Bridge Across Domains. CoRR abs/2112.02300 (2021) - [i13]Nina Shvetsova, Brian Chen, Andrew Rouditchenko, Samuel Thomas, Brian Kingsbury, Rogério Feris, David Harwath, James R. Glass, Hilde Kuehne:
Everything at Once - Multi-modal Fusion Transformer for Video Retrieval. CoRR abs/2112.04446 (2021) - 2020
- [j2]Hilde Kuehne
A Hybrid RNN-HMM Approach for Weakly Supervised Temporal Action Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 42(4): 765-779 (2020) - [i12]Rosaura G. VidalMata, Walter J. Scheirer, Hilde Kuehne:
Joint Visual-Temporal Embedding for Unsupervised Learning of Actions in Untrimmed Sequences. CoRR abs/2001.11122 (2020)
2010 – 2019
- 2019
- [c18]Anna Kukleva, Hilde Kuehne
Unsupervised Learning of Action Classes With Continuous Temporal Embedding. CVPR 2019: 12066-12074 - [c17]Quanfu Fan, Chun-Fu (Richard) Chen, Hilde Kuehne, Marco Pistoia, David D. Cox:
More Is Less: Learning Efficient Video Representations by Big-Little Network and Depthwise Temporal Aggregation. NeurIPS 2019: 2261-2270 - [i11]Anna Kukleva, Hilde Kuehne, Fadime Sener, Juergen Gall:
Unsupervised learning of action classes with continuous temporal embedding. CoRR abs/1904.04189 (2019) - [i10]Hilde Kuehne, Ahsan Iqbal, Alexander Richard, Juergen Gall:
Mining YouTube - A dataset for learning fine-grained action concepts from webly supervised video data. CoRR abs/1906.01012 (2019) - [i9]Hilde Kuehne, Alexander Richard, Juergen Gall:
A Hybrid RNN-HMM Approach for Weakly Supervised Temporal Action Segmentation. CoRR abs/1906.01028 (2019) - [i8]Quanfu Fan, Chun-Fu Chen, Hilde Kuehne, Marco Pistoia, David D. Cox:
More Is Less: Learning Efficient Video Representations by Big-Little Network and Depthwise Temporal Aggregation. CoRR abs/1912.00869 (2019) - 2018
- [c16]Alexander Richard, Hilde Kuehne
Action Sets: Weakly Supervised Action Segmentation Without Ordering Constraints. CVPR 2018: 5987-5996 - [c15]Alexander Richard, Hilde Kuehne
NeuralNetwork-Viterbi: A Framework for Weakly Supervised Video Learning. CVPR 2018: 7386-7395 - [c14]Zeynep Akata, Dena Bazazian, Yana Hasson, Angjoo Kanazawa, Hildegard Kuehne
WiCV at ECCV2018: The Fifth Women in Computer Vision Workshop. ECCV Workshops (4) 2018: 649-653 - [i7]Alexander Richard, Hilde Kuehne, Ahsan Iqbal, Juergen Gall:
NeuralNetwork-Viterbi: A Framework for Weakly Supervised Video Learning. CoRR abs/1805.06875 (2018) - 2017
- [j1]Hilde Kuehne
Weakly supervised learning of actions from transcripts. Comput. Vis. Image Underst. 163: 78-89 (2017) - [c13]Alexander Richard, Hilde Kuehne
Weakly Supervised Action Learning with RNN Based Fine-to-Coarse Modeling. CVPR 2017: 1273-1282 - [c12]Ahsan Iqbal, Alexander Richard, Hilde Kuehne
Recurrent Residual Learning for Action Recognition. GCPR 2017: 126-137 - [i6]Alexander Richard, Hilde Kuehne, Juergen Gall:
Weakly Supervised Action Learning with RNN based Fine-to-coarse Modeling. CoRR abs/1703.08132 (2017) - [i5]Alexander Richard, Hilde Kuehne, Juergen Gall:
Temporal Action Labeling using Action Sets. CoRR abs/1706.00699 (2017) - [i4]Ahsan Iqbal, Alexander Richard, Hilde Kuehne, Juergen Gall:
Recurrent Residual Learning for Action Recognition. CoRR abs/1706.08807 (2017) - 2016
- [c11]Hilde Kuehne
An end-to-end generative framework for video segmentation and recognition. WACV 2016: 1-8 - [i3]Hilde Kuehne, Alexander Richard, Juergen Gall:
Weakly supervised learning of actions from transcripts. CoRR abs/1610.02237 (2016) - 2015
- [b1]Hildegard Kuehne:
Analysis and recognition of human actions with flow features and temporal models. Karlsruhe Institute of Technology, KIT Scientific Publishing 2015, pp. 1-210 - [i2]Hilde Kuehne, Thomas Serre:
Cooking in the kitchen: A generative approach to the recognition, parsing and segmentation of human daily activities. CoRR abs/1508.06073 (2015) - [i1]Hilde Kuehne, Thomas Serre:
Towards a generative approach to activity recognition and segmentation. CoRR abs/1509.01947 (2015) - 2014
- [c10]Hilde Kuehne
The Language of Actions: Recovering the Syntax and Semantics of Goal-Directed Human Activities. CVPR 2014: 780-787 - 2012
- [c9]Hildegard Kuehne, Dirk Gehrig, Tanja Schultz, Rainer Stiefelhagen:
On-line Action Recognition from Sparse Feature Flow. VISAPP (1) 2012: 634-639 - 2011
- [c8]Hildegard Kuehne
HMDB: A large video database for human motion recognition. ICCV 2011: 2556-2563 - [c7]Dirk Gehrig, Peter Krauthausen, Lukas Rybok, Hildegard Kuehne, Uwe D. Hanebeck, Tanja Schultz, Rainer Stiefelhagen:
Combined intention, activity, and motion recognition for a humanoid household robot. IROS 2011: 4819-4825 - 2010
- [c6]Hildegard Kuehne, Annika Woerner:
Motion Segmentation of Articulated Structures by Integration of Visual Perception Criteria. VISAPP (2) 2010: 54-59
2000 – 2009
- 2009
- [c5]Dirk Gehrig, Hildegard Kuehne
HMM-based human motion recognition with optical flow data. Humanoids 2009: 425-430 - [c4]Alexander Bachmann, Hildegard Kuehne
An iterative scheme for motion-based scene segmentation. ICCV Workshops 2009: 735-742 - [c3]Hildegard Kuehne, Annika Woerner:
Motion-based Feature Clustering for Articulated Body Tracking. VISAPP (1) 2009: 579-584 - 2004
- [c2]Hildegard Koehler, Sahla Bouattour, Dietrich Paulus, Michel Couprie:
Analyse des Herzkranzgefäßbaums für die prä- und post-operative Diagnose. Bildverarbeitung für die Medizin 2004: 269-273 - [c1]Hildegard Koehler, Michel Couprie, Sahla Bouattour, Dietrich Paulus:
Extraction and analysis of coronary tree from single x-ray angiographies. Medical Imaging: Image-Guided Procedures 2004
Coauthor Index
Rogério Feris
aka: Rogério Schmidt Feris
aka: Rogério Schmidt Feris
Juergen Gall
aka: Jürgen Gall
aka: Jürgen Gall
David F. Harwath
aka: David Harwath
aka: David Harwath
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