Hilde Kuehne - RankMe

139 papers A* 39A 7B 1C 1Misc 1Journal 82Unranked 8

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	CALM: Class-Conditional Sparse Attention Vectors for Large Audio-Language Models. CoRR Videet Mehta, Liming Wang, Hilde Kuehne, Rogério Feris, James R. Glass, Muhammad Jehanzeb Mirza
2026	J	`jnl`	DEX-AR: A Dynamic Explainability Method for Autoregressive Vision-Language Models. CoRR Walid Bousselham, Angie W. Boggust, Hendrik Strobelt, Hilde Kuehne
2026	J	`jnl`	MM-TS: Multi-Modal Temperature and Margin Schedules for Contrastive Learning with Long-Tail Data. CoRR Siarhei Sheludzko, Dhimitrios Duka, Bernt Schiele, Hilde Kuehne, Anna Kukleva
2026	J	`jnl`	When LLaVA Meets Objects: Token Composition for Vision-Language-Models. CoRR Soumya Jahagirdar, Walid Bousselham, Anna Kukleva, Hilde Kuehne
2025	J	`jnl`	AMoE: Agglomerative Mixture-of-Experts Vision Foundation Model. CoRR Sofian Chaybouti, Sanath Narayan, Yasser Dahou, Phuc H. Le-Khac, Ankit Singh, Ngoc Dung Huynh, Wamiq Reyaz Para, Hilde Kuehne, Hakim Hacid
2025	A*	`conf`	CAV-MAE Sync: Improving Contrastive Audio-Visual Mask Autoencoders via Fine-Grained Alignment. CVPR Edson Araujo, Andrew Rouditchenko, Yuan Gong, Saurabhchand Bhati, Samuel Thomas, Brian Kingsbury, Leonid Karlinsky, Rogério Feris, James R. Glass, Hilde Kuehne
2025	J	`jnl`	CAV-MAE Sync: Improving Contrastive Audio-Visual Mask Autoencoders via Fine-Grained Alignment. CoRR Edson Araujo, Andrew Rouditchenko, Yuan Gong, Saurabhchand Bhati, Samuel Thomas, Brian Kingsbury, Leonid Karlinsky, Rogério Feris, James R. Glass, Hilde Kuehne
2025	A*	`conf`	Canonical Rank Adaptation: An Efficient Fine-Tuning Strategy for Vision Transformers. ICML Lokesh Veeramacheneni, Moritz Wolter, Hilde Kuehne, Juergen Gall
2025	J	`jnl`	Dual Guidance Semi-Supervised Action Detection. CoRR Ankit Singh, Efstratios Gavves, Cees G. M. Snoek, Hilde Kuehne
2025	A*	`conf`	Fréchet Wavelet Distance: A Domain-Agnostic Metric for Image Generation. ICLR Lokesh Veeramacheneni, Moritz Wolter, Hilde Kuehne, Juergen Gall
2025	J	`jnl`	Granite Vision: a lightweight, open-source multimodal model for enterprise Intelligence. CoRR Leonid Karlinsky, Assaf Arbelle, Abraham Daniels, Ahmed Nassar, Amit Alfassi, Bo Wu, Eli Schwartz, Dhiraj Joshi, Jovana Kondic, Nimrod Shabtay, Pengyuan Li, Roei Herzig, Shafiq Abedin, Shaked Perek, Sivan Harary, Udi Barzelay, Adi Raz Goldfarb, Aude Oliva, Ben Wieles, Bishwaranjan Bhattacharjee, Brandon Huang, Christoph Auer, Dan Gutfreund, David Beymer, David Wood, Hilde Kuehne, Jacob A. Hansen, Joseph Shtok, Ken Wong, Luis Angel D. Bathen, Mayank Mishra, Maksym Lysak, Michele Dolfi, Mikhail Yurochkin, Nikolaos Livathinos, Nimrod Harel, Ophir Azulai, Oshri Naparstek, Rafael Teixeira de Lima, Rameswar Panda, Sivan Doveh, Shubham Gupta, Subhro Das, Syed Zawad, Yusik Kim, Zexue He, Alexander Brooks, Gabe Goodhart, Anita Govindjee, Derek Leist, Ibrahim Ibrahim, Aya Soffer, David D. Cox, Kate Soule, Luis A. Lastras, Nirmit Desai, Shila Ofek-Koifman, Sriram Raghavan, Tanveer F. Syeda-Mahmood, Peter W. J. Staar, Tal Drory, Rogério Feris
2025	J	`jnl`	M2SVid: End-to-End Inpainting and Refinement for Monocular-to-Stereo Video Conversion. CoRR Nina Shvetsova, Goutam Bhat, Prune Truong, Hilde Kuehne, Federico Tombari
2025	C	`conf`	Omni-R1: Do You Really Need Audio to Fine-Tune Your Audio LLM? ASRU Andrew Rouditchenko, Saurabhchand Bhati, Edson Araujo, Samuel Thomas, Hilde Kuehne, Rogério Feris, James R. Glass
2025	J	`jnl`	Omni-R1: Do You Really Need Audio to Fine-Tune Your Audio LLM? CoRR Andrew Rouditchenko, Saurabhchand Bhati, Edson Araujo, Samuel Thomas, Hilde Kuehne, Rogério Feris, James R. Glass
2025	J	`jnl`	REVEAL: Relation-based Video Representation Learning for Video-Question-Answering. CoRR Sofian Chaybouti, Walid Bousselham, Moritz Wolter, Hilde Kuehne
2025	J	`jnl`	TTRV: Test-Time Reinforcement Learning for Vision Language Models. CoRR Akshit Singh, Shyam Marjit, Wei Lin, Paul Gavrikov, Serena Yeung-Levy, Hilde Kuehne, Rogério Feris, Sivan Doveh, James R. Glass, Muhammad Jehanzeb Mirza
2025	J	`jnl`	TimeLogic: A Temporal Logic Benchmark for Video QA. CoRR Sirnam Swetha, Hilde Kuehne, Mubarak Shah
2025	J	`jnl`	Towards Audio Token Compression in Large Audio Language Models. CoRR Saurabhchand Bhati, Samuel Thomas, Hilde Kuehne, Rogério Feris, James R. Glass
2025	A*	`conf`	Unbiasing through Textual Descriptions: Mitigating Representation Bias in Video Benchmarks. CVPR Nina Shvetsova, Arsha Nagrani, Bernt Schiele, Hilde Kuehne, Christian Rupprecht
2025	J	`jnl`	Unbiasing through Textual Descriptions: Mitigating Representation Bias in Video Benchmarks. CoRR Nina Shvetsova, Arsha Nagrani, Bernt Schiele, Hilde Kuehne, Christian Rupprecht
2025	J	`jnl`	VOLD: Reasoning Transfer from LLMs to Vision-Language Models via On-Policy Distillation. CoRR Walid Bousselham, Hilde Kuehne, Cordelia Schmid
2025	A*	`conf`	VideoGEM: Training-free Action Grounding in Videos. CVPR Felix Vogel, Walid Bousselham, Anna Kukleva, Nina Shvetsova, Hilde Kuehne
2025	J	`jnl`	VideoGEM: Training-free Action Grounding in Videos. CoRR Felix Vogel, Walid Bousselham, Anna Kukleva, Nina Shvetsova, Hilde Kuehne
2025	J	`jnl`	VisualOverload: Probing Visual Understanding of VLMs in Really Dense Scenes. CoRR Paul Gavrikov, Wei Lin, Muhammad Jehanzeb Mirza, Soumya Jahagirdar, Muhammad Huzaifa, Sivan Doveh, Serena Yeung-Levy, James R. Glass, Hilde Kuehne
2025	J	`jnl`	mWhisper-Flamingo for Multilingual Audio-Visual Noise-Robust Speech Recognition. CoRR Andrew Rouditchenko, Samuel Thomas, Hilde Kuehne, Rogério Feris, James R. Glass
2025	J	`jnl`	mWhisper-Flamingo for Multilingual Audio-Visual Noise-Robust Speech Recognition. IEEE Signal Process. Lett. Andrew Rouditchenko, Samuel Thomas, Hilde Kuehne, Rogério Feris, James R. Glass
2024	A*	`conf`	ConMe: Rethinking Evaluation of Compositional Reasoning for Modern VLMs. NeurIPS Irene Huang, Wei Lin, Muhammad Jehanzeb Mirza, Jacob A. Hansen, Sivan Doveh, Victor Butoi, Roei Herzig, Assaf Arbelle, Hilde Kuehne, Trevor Darrell, Chuang Gan, Aude Oliva, Rogério Feris, Leonid Karlinsky
2024	J	`jnl`	ConMe: Rethinking Evaluation of Compositional Reasoning for Modern VLMs. CoRR 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
2024	A*	`conf`	Convolutional Differentiable Logic Gate Networks. NeurIPS Felix Petersen, Hilde Kuehne, Christian Borgelt, Julian Welzel, Stefano Ermon
2024	J	`jnl`	Convolutional Differentiable Logic Gate Networks. CoRR Felix Petersen, Hilde Kuehne, Christian Borgelt, Julian Welzel, Stefano Ermon
2024	—	`conf`	DASS: Distilled Audio State Space Models are Stronger and More Duration-Scalable Learners. SLT Saurabhchand Bhati, Yuan Gong, Leonid Karlinsky, Hilde Kuehne, Rogério Feris, James R. Glass
2024	A*	`conf`	Grounding Everything: Emerging Localization Properties in Vision-Language Transformers. CVPR Walid Bousselham, Felix Petersen, Vittorio Ferrari, Hilde Kuehne
2024	—	`conf`	HowToCaption: Prompting LLMs to Transform Video Annotations at Scale. ECCV (56) Nina Shvetsova, Anna Kukleva, Xudong Hong, Christian Rupprecht, Bernt Schiele, Hilde Kuehne
2024	J	`jnl`	LeGrad: An Explainability Method for Vision Transformers via Feature Formation Sensitivity. CoRR Walid Bousselham, Angie W. Boggust, Sofian Chaybouti, Hendrik Strobelt, Hilde Kuehne
2024	J	`jnl`	MaskInversion: Localized Embeddings via Optimization of Explainability Maps. CoRR Walid Bousselham, Sofian Chaybouti, Christian Rupprecht, Vittorio Ferrari, Hilde Kuehne
2024	J	`jnl`	Meta-Prompting for Automating Zero-shot Visual Recognition with LLMs. CoRR Muhammad Jehanzeb Mirza, Leonid Karlinsky, Wei Lin, Sivan Doveh, Jakub Micorek, Mateusz Kozinski, Hilde Kuehne, Horst Possegger
2024	—	`conf`	Meta-prompting for Automating Zero-Shot Visual Recognition with LLMs. ECCV (2) Muhammad Jehanzeb Mirza, Leonid Karlinsky, Wei Lin, Sivan Doveh, Jakub Micorek, Mateusz Kozinski, Hilde Kuehne, Horst Possegger
2024	A*	`conf`	Newton Losses: Using Curvature Information for Learning with Differentiable Algorithms. NeurIPS Felix Petersen, Christian Borgelt, Tobias Sutter, Hilde Kuehne, Oliver Deussen, Stefano Ermon
2024	J	`jnl`	Newton Losses: Using Curvature Information for Learning with Differentiable Algorithms. CoRR Felix Petersen, Christian Borgelt, Tobias Sutter, Hilde Kuehne, Oliver Deussen, Stefano Ermon
2024	J	`jnl`	State-Space Large Audio Language Models. CoRR Saurabhchand Bhati, Yuan Gong, Leonid Karlinsky, Hilde Kuehne, Rogério Feris, James R. Glass
2024	J	`jnl`	Teaching VLMs to Localize Specific Objects from In-context Examples. CoRR Sivan Doveh, Nimrod Shabtay, Wei Lin, Eli Schwartz, Hilde Kuehne, Raja Giryes, Rogério Feris, Leonid Karlinsky, James R. Glass, Assaf Arbelle, Shimon Ullman, Muhammad Jehanzeb Mirza
2024	A*	`conf`	Uncertainty Quantification via Stable Distribution Propagation. ICLR Felix Petersen, Aashwin Ananda Mishra, Hilde Kuehne, Christian Borgelt, Oliver Deussen, Mikhail Yurochkin
2024	J	`jnl`	Uncertainty Quantification via Stable Distribution Propagation. CoRR Felix Petersen, Aashwin Ananda Mishra, Hilde Kuehne, Christian Borgelt, Oliver Deussen, Mikhail Yurochkin
2024	J	`jnl`	WEAR: An Outdoor Sports Dataset for Wearable and Egocentric Activity Recognition. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. Marius Bock, Hilde Kuehne, Kristof Van Laerhoven, Michael Möller
2024	A*	`conf`	What, When, and Where? Self-Supervised Spatio- Temporal Grounding in Untrimmed Multi-Action Videos from Narrated Instructions. CVPR Brian Chen, Nina Shvetsova, Andrew Rouditchenko, Daniel Kondermann, Samuel Thomas, Shih-Fu Chang, Rogério Feris, James R. Glass, Hilde Kuehne
2024	A	`conf`	Whisper-Flamingo: Integrating Visual Features into Whisper for Audio-Visual Speech Recognition and Translation. INTERSPEECH Andrew Rouditchenko, Yuan Gong, Samuel Thomas, Leonid Karlinsky, Hilde Kuehne, Rogério Feris, James Glass
2024	J	`jnl`	Whisper-Flamingo: Integrating Visual Features into Whisper for Audio-Visual Speech Recognition and Translation. CoRR Andrew Rouditchenko, Yuan Gong, Samuel Thomas, Leonid Karlinsky, Hilde Kuehne, Rogério Feris, James R. Glass
2023	Misc	`conf`	C2KD: Cross-Lingual Cross-Modal Knowledge Distillation for Multilingual Text-Video Retrieval. ICASSP Andrew Rouditchenko, Yung-Sung Chuang, Nina Shvetsova, Samuel Thomas, Rogério Feris, Brian Kingsbury, Leonid Karlinsky, David Harwath, Hilde Kuehne, James R. Glass
2023	A	`conf`	Comparison of Multilingual Self-Supervised and Weakly-Supervised Speech Pre-Training for Adaptation to Unseen Languages. INTERSPEECH Andrew Rouditchenko, Sameer Khurana, Samuel Thomas, Rogério Feris, Leonid Karlinsky, Hilde Kuehne, David Harwath, Brian Kingsbury, James R. Glass
2023	J	`jnl`	Comparison of Multilingual Self-Supervised and Weakly-Supervised Speech Pre-Training for Adaptation to Unseen Languages. CoRR Andrew Rouditchenko, Sameer Khurana, Samuel Thomas, Rogério Feris, Leonid Karlinsky, Hilde Kuehne, David Harwath, Brian Kingsbury, James R. Glass
2023	A*	`conf`	Contrastive Audio-Visual Masked Autoencoder. ICLR Yuan Gong, Andrew Rouditchenko, Alexander H. Liu, David Harwath, Leonid Karlinsky, Hilde Kuehne, James R. Glass
2023	J	`jnl`	Grounding Everything: Emerging Localization Properties in Vision-Language Transformers. CoRR Walid Bousselham, Felix Petersen, Vittorio Ferrari, Hilde Kuehne
2023	J	`jnl`	HowToCaption: Prompting LLMs to Transform Video Annotations at Scale. CoRR Nina Shvetsova, Anna Kukleva, Xudong Hong, Christian Rupprecht, Bernt Schiele, Hilde Kuehne
2023	A*	`conf`	ISAAC Newton: Input-based Approximate Curvature for Newton's Method. ICLR Felix Petersen, Tobias Sutter, Christian Borgelt, Dongsung Huh, Hilde Kuehne, Yuekai Sun, Oliver Deussen
2023	J	`jnl`	ISAAC Newton: Input-based Approximate Curvature for Newton's Method. CoRR Felix Petersen, Tobias Sutter, Christian Borgelt, Dongsung Huh, Hilde Kuehne, Yuekai Sun, Oliver Deussen
2023	A*	`conf`	In-Style: Bridging Text and Uncurated Videos with Style Transfer for Text-Video Retrieval. ICCV Nina Shvetsova, Anna Kukleva, Bernt Schiele, Hilde Kuehne
2023	J	`jnl`	In-Style: Bridging Text and Uncurated Videos with Style Transfer for Text-Video Retrieval. CoRR Nina Shvetsova, Anna Kukleva, Bernt Schiele, Hilde Kuehne
2023	A*	`conf`	Learning Human Action Recognition Representations Without Real Humans. NeurIPS Howard Zhong, Samarth Mishra, Donghyun Kim, SouYoung Jin, Rameswar Panda, Hilde Kuehne, Leonid Karlinsky, Venkatesh Saligrama, Aude Oliva, Rogério Feris
2023	J	`jnl`	Learning Human Action Recognition Representations Without Real Humans. CoRR Howard Zhong, Samarth Mishra, Donghyun Kim, SouYoung Jin, Rameswar Panda, Hilde Kuehne, Leonid Karlinsky, Venkatesh Saligrama, Aude Oliva, Rogério Feris
2023	A*	`conf`	Learning Situation Hyper-Graphs for Video Question Answering. CVPR Aisha Urooj Khan, Hilde Kuehne, Bo Wu, Kim Chheu, Walid Bousselham, Chuang Gan, Niels da Vitoria Lobo, Mubarak Shah
2023	J	`jnl`	Learning Situation Hyper-Graphs for Video Question Answering. CoRR Aisha Urooj Khan, Hilde Kuehne, Bo Wu, Kim Chheu, Walid Bousselham, Chuang Gan, Niels da Vitoria Lobo, Mubarak Shah
2023	A*	`conf`	Learning by Sorting: Self-supervised Learning with Group Ordering Constraints. ICCV Nina Shvetsova, Felix Petersen, Anna Kukleva, Bernt Schiele, Hilde Kuehne
2023	J	`jnl`	Learning by Sorting: Self-supervised Learning with Group Ordering Constraints. CoRR Nina Shvetsova, Felix Petersen, Anna Kukleva, Bernt Schiele, Hilde Kuehne
2023	A*	`conf`	MAtch, eXpand and Improve: Unsupervised Finetuning for Zero-Shot Action Recognition with Language Knowledge. ICCV Wei Lin, Leonid Karlinsky, Nina Shvetsova, Horst Possegger, Mateusz Kozinski, Rameswar Panda, Rogério Feris, Hilde Kuehne, Horst Bischof
2023	J	`jnl`	MAtch, eXpand and Improve: Unsupervised Finetuning for Zero-Shot Action Recognition with Language Knowledge. CoRR Wei Lin, Leonid Karlinsky, Nina Shvetsova, Horst Possegger, Mateusz Kozinski, Rameswar Panda, Rogério Feris, Hilde Kuehne, Horst Bischof
2023	A*	`conf`	Preserving Modality Structure Improves Multi-Modal Learning. ICCV Sirnam Swetha, Mamshad Nayeem Rizve, Nina Shvetsova, Hilde Kuehne, Mubarak Shah
2023	J	`jnl`	Preserving Modality Structure Improves Multi-Modal Learning. CoRR Sirnam Swetha, Mamshad Nayeem Rizve, Nina Shvetsova, Hilde Kuehne, Mubarak Shah
2023	—	`conf`	TAEC: Unsupervised Action Segmentation with Temporal-Aware Embedding and Clustering. CVWW Wei Lin, Anna Kukleva, Horst Possegger, Hilde Kuehne, Horst Bischof
2023	J	`jnl`	TAEC: Unsupervised Action Segmentation with Temporal-Aware Embedding and Clustering. CoRR Wei Lin, Anna Kukleva, Horst Possegger, Hilde Kuehne, Horst Bischof
2023	J	`jnl`	Temperature Schedules for Self-Supervised Contrastive Methods on Long-Tail Data. CoRR Anna Kukleva, Moritz Böhle, Bernt Schiele, Hilde Kuehne, Christian Rupprecht
2023	A*	`conf`	Temperature Schedules for self-supervised contrastive methods on long-tail data. ICLR Anna Kukleva, Moritz Böhle, Bernt Schiele, Hilde Kuehne, Christian Rupprecht
2023	A*	`conf`	Video Test-Time Adaptation for Action Recognition. CVPR Wei Lin, Muhammad Jehanzeb Mirza, Mateusz Kozinski, Horst Possegger, Hilde Kuehne, Horst Bischof
2023	J	`jnl`	WEAR: A Multimodal Dataset for Wearable and Egocentric Video Activity Recognition. CoRR Marius Bock, Michael Moeller, Kristof Van Laerhoven, Hilde Kuehne
2023	J	`jnl`	What, when, and where? - Self-Supervised Spatio-Temporal Grounding in Untrimmed Multi-Action Videos from Narrated Instructions. CoRR Brian Chen, Nina Shvetsova, Andrew Rouditchenko, Daniel Kondermann, Samuel Thomas, Shih-Fu Chang, Rogério Feris, James R. Glass, Hilde Kuehne
2022	—	`conf`	Augmentation Learning for Semi-Supervised Classification. GCPR Tim Frommknecht, Pedro Alves Zipf, Quanfu Fan, Nina Shvetsova, Hilde Kuehne
2022	J	`jnl`	Augmentation Learning for Semi-Supervised Classification. CoRR Tim Frommknecht, Pedro Alves Zipf, Quanfu Fan, Nina Shvetsova, Hilde Kuehne
2022	J	`jnl`	C2KD: Cross-Lingual Cross-Modal Knowledge Distillation for Multilingual Text-Video Retrieval. CoRR Andrew Rouditchenko, Yung-Sung Chuang, Nina Shvetsova, Samuel Thomas, Rogério Feris, Brian Kingsbury, Leonid Karlinsky, David Harwath, Hilde Kuehne, James R. Glass
2022	J	`jnl`	Contrastive Audio-Visual Masked Autoencoder. CoRR Yuan Gong, Andrew Rouditchenko, Alexander H. Liu, David Harwath, Leonid Karlinsky, Hilde Kuehne, James R. Glass
2022	J	`jnl`	CycDA: Unsupervised Cycle Domain Adaptation from Image to Video. CoRR Wei Lin, Anna Kukleva, Kunyang Sun, Horst Possegger, Hilde Kuehne, Horst Bischof
2022	—	`conf`	CycDA: Unsupervised Cycle Domain Adaptation to Learn from Image to Video. ECCV (3) Wei Lin, Anna Kukleva, Kunyang Sun, Horst Possegger, Hilde Kuehne, Horst Bischof
2022	A*	`conf`	Deep Differentiable Logic Gate Networks. NeurIPS Felix Petersen, Christian Borgelt, Hilde Kuehne, Oliver Deussen
2022	J	`jnl`	Deep Differentiable Logic Gate Networks. CoRR Felix Petersen, Christian Borgelt, Hilde Kuehne, Oliver Deussen
2022	A*	`conf`	Differentiable Top-k Classification Learning. ICML Felix Petersen, Hilde Kuehne, Christian Borgelt, Oliver Deussen
2022	J	`jnl`	Differentiable Top-k Classification Learning. CoRR Felix Petersen, Hilde Kuehne, Christian Borgelt, Oliver Deussen
2022	A*	`conf`	Everything at Once - Multi-modal Fusion Transformer for Video Retrieval. CVPR Nina Shvetsova, Brian Chen, Andrew Rouditchenko, Samuel Thomas, Brian Kingsbury, Rogério Feris, David Harwath, James R. Glass, Hilde Kuehne
2022	A*	`conf`	How Transferable are Video Representations Based on Synthetic Data? NeurIPS Yo-whan Kim, Samarth Mishra, SouYoung Jin, Rameswar Panda, Hilde Kuehne, Leonid Karlinsky, Venkatesh Saligrama, Kate Saenko, Aude Oliva, Rogério Feris
2022	A*	`conf`	Monotonic Differentiable Sorting Networks. ICLR Felix Petersen, Christian Borgelt, Hilde Kuehne, Oliver Deussen
2022	J	`jnl`	Monotonic Differentiable Sorting Networks. CoRR Felix Petersen, Christian Borgelt, Hilde Kuehne, Oliver Deussen
2022	A	`conf`	Style Agnostic 3D Reconstruction via Adversarial Style Transfer. WACV Felix Petersen, Bastian Goldluecke, Oliver Deussen, Hilde Kuehne
2022	A*	`conf`	Unsupervised Domain Generalization by Learning a Bridge Across Domains. CVPR 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
2022	J	`jnl`	VL-Taboo: An Analysis of Attribute-based Zero-shot Capabilities of Vision-Language Models. CoRR Felix Vogel, Nina Shvetsova, Leonid Karlinsky, Hilde Kuehne
2022	J	`jnl`	Video Test-Time Adaptation for Action Recognition. CoRR Wei Lin, Muhammad Jehanzeb Mirza, Mateusz Kozinski, Horst Possegger, Hilde Kuehne, Horst Bischof
2022	—	`conf`	Weakly Supervised Grounding for VQA in Vision-Language Transformers. ECCV (35) Aisha Urooj Khan, Hilde Kuehne, Chuang Gan, Niels da Vitoria Lobo, Mubarak Shah
2022	J	`jnl`	Weakly Supervised Grounding for VQA in Vision-Language Transformers. CoRR Aisha Urooj Khan, Hilde Kuehne, Chuang Gan, Niels da Vitoria Lobo, Mubarak Shah
2021	A	`conf`	AVLnet: Learning Audio-Visual Language Representations from Instructional Videos. Interspeech Andrew Rouditchenko, Angie W. Boggust, David Harwath, Brian Chen, Dhiraj Joshi, Samuel Thomas, Kartik Audhkhasi, Hilde Kuehne, Rameswar Panda, Rogério Schmidt Feris, Brian Kingsbury, Michael Picheny, Antonio Torralba, James R. Glass
2021	A	`conf`	Cascaded Multilingual Audio-Visual Learning from Videos. Interspeech Andrew Rouditchenko, Angie W. Boggust, David Harwath, Samuel Thomas, Hilde Kuehne, Brian Chen, Rameswar Panda, Rogério Feris, Brian Kingsbury, Michael Picheny, James R. Glass
2021	J	`jnl`	Cascaded Multilingual Audio-Visual Learning from Videos. CoRR Andrew Rouditchenko, Angie W. Boggust, David Harwath, Samuel Thomas, Hilde Kuehne, Brian Chen, Rameswar Panda, Rogério Feris, Brian Kingsbury, Michael Picheny, James R. Glass
2021	A*	`conf`	Detector-Free Weakly Supervised Grounding by Separation. ICCV 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
2021	J	`jnl`	Detector-Free Weakly Supervised Grounding by Separation. CoRR 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
2021	A*	`conf`	Differentiable Sorting Networks for Scalable Sorting and Ranking Supervision. ICML Felix Petersen, Christian Borgelt, Hilde Kuehne, Oliver Deussen
2021	J	`jnl`	Differentiable Sorting Networks for Scalable Sorting and Ranking Supervision. CoRR Felix Petersen, Christian Borgelt, Hilde Kuehne, Oliver Deussen
2021	J	`jnl`	Everything at Once - Multi-modal Fusion Transformer for Video Retrieval. CoRR Nina Shvetsova, Brian Chen, Andrew Rouditchenko, Samuel Thomas, Brian Kingsbury, Rogério Feris, David Harwath, James R. Glass, Hilde Kuehne
2021	A*	`conf`	Found a Reason for me? Weakly-supervised Grounded Visual Question Answering using Capsules. CVPR Aisha Urooj Khan, Hilde Kuehne, Kevin Duarte, Chuang Gan, Niels da Vitoria Lobo, Mubarak Shah
2021	J	`jnl`	Found a Reason for me? Weakly-supervised Grounded Visual Question Answering using Capsules. CoRR Aisha Urooj Khan, Hilde Kuehne, Kevin Duarte, Chuang Gan, Niels da Vitoria Lobo, Mubarak Shah
2021	A*	`conf`	Generalized and Incremental Few-Shot Learning by Explicit Learning and Calibration without Forgetting. ICCV Anna Kukleva, Hilde Kuehne, Bernt Schiele
2021	J	`jnl`	Generalized and Incremental Few-Shot Learning by Explicit Learning and Calibration without Forgetting. CoRR Anna Kukleva, Hilde Kuehne, Bernt Schiele
2021	A	`conf`	Joint Visual-Temporal Embedding for Unsupervised Learning of Actions in Untrimmed Sequences. WACV Rosaura G. VidalMata, Walter J. Scheirer, Anna Kukleva, David D. Cox, Hilde Kuehne
2021	A*	`conf`	Learning with Algorithmic Supervision via Continuous Relaxations. NeurIPS Felix Petersen, Christian Borgelt, Hilde Kuehne, Oliver Deussen
2021	J	`jnl`	Learning with Algorithmic Supervision via Continuous Relaxations. CoRR Felix Petersen, Christian Borgelt, Hilde Kuehne, Oliver Deussen
2021	A*	`conf`	Multimodal Clustering Networks for Self-supervised Learning from Unlabeled Videos. ICCV Brian Chen, Andrew Rouditchenko, Kevin Duarte, Hilde Kuehne, Samuel Thomas, Angie W. Boggust, Rameswar Panda, Brian Kingsbury, Rogério Feris, David Harwath, James R. Glass, Michael Picheny, Shih-Fu Chang
2021	J	`jnl`	Multimodal Clustering Networks for Self-supervised Learning from Unlabeled Videos. CoRR 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
2021	J	`jnl`	Routing with Self-Attention for Multimodal Capsule Networks. CoRR Kevin Duarte, Brian Chen, Nina Shvetsova, Andrew Rouditchenko, Samuel Thomas, Alexander H. Liu, David Harwath, James R. Glass, Hilde Kuehne, Mubarak Shah
2021	J	`jnl`	Style Agnostic 3D Reconstruction via Adversarial Style Transfer. CoRR Felix Petersen, Bastian Goldluecke, Oliver Deussen, Hilde Kuehne
2021	B	`conf`	Unsupervised Discriminative Embedding For Sub-Action Learning in Complex Activities. ICIP Sirnam Swetha, Hilde Kuehne, Yogesh S. Rawat, Mubarak Shah
2021	J	`jnl`	Unsupervised Discriminative Embedding for Sub-Action Learning in Complex Activities. CoRR Sirnam Swetha, Hilde Kuehne, Yogesh S. Rawat, Mubarak Shah
2021	J	`jnl`	Unsupervised Domain Generalization by Learning a Bridge Across Domains. CoRR 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
2020	J	`jnl`	A Hybrid RNN-HMM Approach for Weakly Supervised Temporal Action Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. Hilde Kuehne, Alexander Richard, Juergen Gall
2020	J	`jnl`	AVLnet: Learning Audio-Visual Language Representations from Instructional Videos. CoRR Andrew Rouditchenko, Angie W. Boggust, David Harwath, Brian Chen, Dhiraj Joshi, Samuel Thomas, Kartik Audhkhasi, Hilde Kuehne, Rameswar Panda, Rogério Feris, Brian Kingsbury, Michael Picheny, Antonio Torralba, James R. Glass
2020	J	`jnl`	Joint Visual-Temporal Embedding for Unsupervised Learning of Actions in Untrimmed Sequences. CoRR Rosaura G. VidalMata, Walter J. Scheirer, Hilde Kuehne
2019	J	`jnl`	A Hybrid RNN-HMM Approach for Weakly Supervised Temporal Action Segmentation. CoRR Hilde Kuehne, Alexander Richard, Juergen Gall
2019	J	`jnl`	Mining YouTube - A dataset for learning fine-grained action concepts from webly supervised video data. CoRR Hilde Kuehne, Ahsan Iqbal, Alexander Richard, Juergen Gall
2019	A*	`conf`	More Is Less: Learning Efficient Video Representations by Big-Little Network and Depthwise Temporal Aggregation. NeurIPS Quanfu Fan, Chun-Fu (Richard) Chen, Hilde Kuehne, Marco Pistoia, David D. Cox
2019	J	`jnl`	More Is Less: Learning Efficient Video Representations by Big-Little Network and Depthwise Temporal Aggregation. CoRR Quanfu Fan, Chun-Fu Chen, Hilde Kuehne, Marco Pistoia, David D. Cox
2019	A*	`conf`	Unsupervised Learning of Action Classes With Continuous Temporal Embedding. CVPR Anna Kukleva, Hilde Kuehne, Fadime Sener, Jürgen Gall
2019	J	`jnl`	Unsupervised learning of action classes with continuous temporal embedding. CoRR Anna Kukleva, Hilde Kuehne, Fadime Sener, Juergen Gall
2018	A*	`conf`	Action Sets: Weakly Supervised Action Segmentation Without Ordering Constraints. CVPR Alexander Richard, Hilde Kuehne, Juergen Gall
2018	A*	`conf`	NeuralNetwork-Viterbi: A Framework for Weakly Supervised Video Learning. CVPR Alexander Richard, Hilde Kuehne, Ahsan Iqbal, Juergen Gall
2018	J	`jnl`	NeuralNetwork-Viterbi: A Framework for Weakly Supervised Video Learning. CoRR Alexander Richard, Hilde Kuehne, Ahsan Iqbal, Juergen Gall
2017	—	`conf`	Recurrent Residual Learning for Action Recognition. GCPR Ahsan Iqbal, Alexander Richard, Hilde Kuehne, Juergen Gall
2017	J	`jnl`	Recurrent Residual Learning for Action Recognition. CoRR Ahsan Iqbal, Alexander Richard, Hilde Kuehne, Juergen Gall
2017	J	`jnl`	Temporal Action Labeling using Action Sets. CoRR Alexander Richard, Hilde Kuehne, Juergen Gall
2017	A*	`conf`	Weakly Supervised Action Learning with RNN Based Fine-to-Coarse Modeling. CVPR Alexander Richard, Hilde Kuehne, Juergen Gall
2017	J	`jnl`	Weakly Supervised Action Learning with RNN based Fine-to-coarse Modeling. CoRR Alexander Richard, Hilde Kuehne, Juergen Gall
2017	J	`jnl`	Weakly supervised learning of actions from transcripts. Comput. Vis. Image Underst. Hilde Kuehne, Alexander Richard, Juergen Gall
2016	A	`conf`	An end-to-end generative framework for video segmentation and recognition. WACV Hilde Kuehne, Juergen Gall, Thomas Serre
2016	J	`jnl`	Weakly supervised learning of actions from transcripts. CoRR Hilde Kuehne, Alexander Richard, Juergen Gall
2015	J	`jnl`	Cooking in the kitchen: A generative approach to the recognition, parsing and segmentation of human daily activities. CoRR Hilde Kuehne, Thomas Serre
2015	J	`jnl`	Towards a generative approach to activity recognition and segmentation. CoRR Hilde Kuehne, Thomas Serre
2014	A*	`conf`	The Language of Actions: Recovering the Syntax and Semantics of Goal-Directed Human Activities. CVPR Hilde Kuehne, Ali Bilgin Arslan, Thomas Serre