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ORCIDZeynep Akata
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- affiliation: University of Tübingen, Germany
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2020 – today
- 2025
[c106]Massimo Bini, Leander Girrbach, Zeynep Akata:
Decoupling Angles and Strength in Low-rank Adaptation. ICLR 2025- [c105]Théo Uscidda, Luca Eyring, Karsten Roth, Fabian J. Theis, Zeynep Akata, Marco Cuturi:
Disentangled Representation Learning with the Gromov-Monge Gap. ICLR 2025 - [c104]Shuchen Wu, Mirko Thalmann, Peter Dayan, Zeynep Akata, Eric Schulz:
Building, Reusing, and Generalizing Abstract Representations from Concrete Sequences. ICLR 2025 - [i137]Shuchen Wu, Stephan Alaniz, Eric Schulz, Zeynep Akata:
Discovering Chunks in Neural Embeddings for Interpretability. CoRR abs/2502.01803 (2025) - [i136]Lukas Thede, Karsten Roth, Matthias Bethge, Zeynep Akata, Tom Hartvigsen:
Understanding the Limits of Lifelong Knowledge Editing in LLMs. CoRR abs/2503.05683 (2025) - [i135]Massimo Bini, Leander Girrbach, Zeynep Akata:
Decoupling Angles and Strength in Low-rank Adaptation. CoRR abs/2503.18225 (2025) - [i134]Leander Girrbach, Stephan Alaniz, Genevieve Smith, Zeynep Akata:
A Large Scale Analysis of Gender Biases in Text-to-Image Generative Models. CoRR abs/2503.23398 (2025) - [i133]Mateusz Pach, Shyamgopal Karthik, Quentin Bouniot, Serge J. Belongie, Zeynep Akata:
Sparse Autoencoders Learn Monosemantic Features in Vision-Language Models. CoRR abs/2504.02821 (2025) - 2024
- [j17]Yanbei Chen
, Massimiliano Mancini, Xiatian Zhu, Zeynep Akata:
Semi-Supervised and Unsupervised Deep Visual Learning: A Survey. IEEE Trans. Pattern Anal. Mach. Intell. 46(3): 1327-1347 (2024) - [j16]Massimiliano Mancini, Muhammad Ferjad Naeem, Yongqin Xian, Zeynep Akata:
Learning Graph Embeddings for Open World Compositional Zero-Shot Learning. IEEE Trans. Pattern Anal. Mach. Intell. 46(3): 1545-1560 (2024) - [j15]Abhra Chaudhuri, Massimiliano Mancini, Zeynep Akata, Anjan Dutta:
Relational Proxies: Fine-Grained Relationships as Zero-Shot Discriminators. IEEE Trans. Pattern Anal. Mach. Intell. 46(12): 8652-8664 (2024) - [c103]Lukas Thede, Karsten Roth, Olivier J. Hénaff, Matthias Bethge, Zeynep Akata:
Reflecting on the State of Rehearsal-Free Continual Learning with Pretrained Models. CoLLAs 2024: 1076-1093 - [c102]David Kurzendörfer, Otniel-Bogdan Mercea, A. Sophia Koepke, Zeynep Akata:
Audio-Visual Generalized Zero-Shot Learning using Pre-Trained Large Multi-Modal Models. CVPR Workshops 2024: 2627-2638 - [c101]Thomas Hummel, Shyamgopal Karthik, Mariana-Iuliana Georgescu, Zeynep Akata:
EgoCVR: An Egocentric Benchmark for Fine-Grained Composed Video Retrieval. ECCV (37) 2024: 1-17 - [c100]Jae Myung Kim, Jessica Bader, Stephan Alaniz, Cordelia Schmid, Zeynep Akata:
DataDream: Few-Shot Guided Dataset Generation. ECCV (71) 2024: 252-268 - [c99]Anders Christensen, Nooshin Mojab, Khushman Patel, Karan Ahuja, Zeynep Akata, Ole Winther, Mar González-Franco, Andrea Colaco:
Geometry Fidelity for Spherical Images. ECCV (80) 2024: 276-292 - [c98]Nishad Singhi, Jae Myung Kim, Karsten Roth, Zeynep Akata:
Improving Intervention Efficacy via Concept Realignment in Concept Bottleneck Models. ECCV (26) 2024: 422-438 - [c97]Luca Eyring, Dominik Klein, Théo Uscidda, Giovanni Palla, Niki Kilbertus, Zeynep Akata, Fabian J. Theis:
Unbalancedness in Neural Monge Maps Improves Unpaired Domain Translation. ICLR 2024 - [c96]Shyamgopal Karthik, Karsten Roth, Massimiliano Mancini, Zeynep Akata:
Vision-by-Language for Training-Free Compositional Image Retrieval. ICLR 2024 - [c95]Karsten Roth, Lukas Thede, A. Sophia Koepke, Oriol Vinyals, Olivier J. Hénaff, Zeynep Akata:
Fantastic Gains and Where to Find Them: On the Existence and Prospect of General Knowledge Transfer between Any Pretrained Model. ICLR 2024 - [c94]Massimo Bini, Karsten Roth, Zeynep Akata, Anna Khoreva:
ETHER: Efficient Finetuning of Large-Scale Models with Hyperplane Reflections. ICML 2024 - [c93]Luca Eyring, Shyamgopal Karthik, Karsten Roth, Alexey Dosovitskiy, Zeynep Akata:
ReNO: Enhancing One-step Text-to-Image Models through Reward-based Noise Optimization. NeurIPS 2024 - [c92]Vishaal Udandarao, Karsten Roth, Sebastian Dziadzio, Ameya Prabhu, Mehdi Cherti, Oriol Vinyals, Olivier J. Hénaff, Samuel Albanie, Zeynep Akata, Matthias Bethge:
A Practitioner's Guide to Real-World Continual Multimodal Pretraining. NeurIPS 2024 - [i132]Adrian Höhl, Ivica Obadic, Miguel-Ángel Fernández-Torres, Hiba Najjar, Dário A. B. Oliveira, Zeynep Akata, Andreas Dengel, Xiao Xiang Zhu:
Opening the Black-Box: A Systematic Review on Explainable AI in Remote Sensing. CoRR abs/2402.13791 (2024) - [i131]David Kurzendörfer, Otniel-Bogdan Mercea, A. Sophia Koepke, Zeynep Akata:
Audio-Visual Generalized Zero-Shot Learning using Pre-Trained Large Multi-Modal Models. CoRR abs/2404.06309 (2024) - [i130]Nishad Singhi, Jae-Myung Kim, Karsten Roth, Zeynep Akata:
Improving Intervention Efficacy via Concept Realignment in Concept Bottleneck Models. CoRR abs/2405.01531 (2024) - [i129]Massimo Bini, Karsten Roth, Zeynep Akata, Anna Khoreva:
ETHER: Efficient Finetuning of Large-Scale Models with Hyperplane Reflections. CoRR abs/2405.20271 (2024) - [i128]Luca Eyring, Shyamgopal Karthik, Karsten Roth, Alexey Dosovitskiy, Zeynep Akata:
ReNO: Enhancing One-step Text-to-Image Models through Reward-based Noise Optimization. CoRR abs/2406.04312 (2024) - [i127]Lukas Thede, Karsten Roth, Olivier J. Hénaff, Matthias Bethge, Zeynep Akata:
Reflecting on the State of Rehearsal-free Continual Learning with Pretrained Models. CoRR abs/2406.09384 (2024) - [i126]Meghal Dani, Muthu Jeyanthi Prakash, Zeynep Akata, Stefanie Liebe:
SemioLLM: Assessing Large Language Models for Semiological Analysis in Epilepsy Research. CoRR abs/2407.03004 (2024) - [i125]Théo Uscidda, Luca Eyring, Karsten Roth, Fabian J. Theis, Zeynep Akata, Marco Cuturi:
Disentangled Representation Learning through Geometry Preservation with the Gromov-Monge Gap. CoRR abs/2407.07829 (2024) - [i124]Jae Myung Kim, Jessica Bader, Stephan Alaniz, Cordelia Schmid, Zeynep Akata:
DataDream: Few-shot Guided Dataset Generation. CoRR abs/2407.10910 (2024) - [i123]Thomas Hummel, Shyamgopal Karthik, Mariana-Iuliana Georgescu, Zeynep Akata:
EgoCVR: An Egocentric Benchmark for Fine-Grained Composed Video Retrieval. CoRR abs/2407.16658 (2024) - [i122]Anders Christensen, Nooshin Mojab, Khushman Patel, Karan Ahuja, Zeynep Akata, Ole Winther, Mar González-Franco, Andrea Colaco:
Geometry Fidelity for Spherical Images. CoRR abs/2407.18207 (2024) - [i121]Karsten Roth, Vishaal Udandarao, Sebastian Dziadzio, Ameya Prabhu, Mehdi Cherti, Oriol Vinyals, Olivier J. Hénaff, Samuel Albanie, Matthias Bethge, Zeynep Akata:
A Practitioner's Guide to Continual Multimodal Pretraining. CoRR abs/2408.14471 (2024) - [i120]Shyamgopal Karthik, Huseyin Coskun, Zeynep Akata, Sergey Tulyakov, Jian Ren, Anil Kag:
Scalable Ranked Preference Optimization for Text-to-Image Generation. CoRR abs/2410.18013 (2024) - [i119]Leander Girrbach, Yiran Huang, Stephan Alaniz, Trevor Darrell, Zeynep Akata:
Revealing and Reducing Gender Biases in Vision and Language Assistants (VLAs). CoRR abs/2410.19314 (2024) - [i118]Shuchen Wu, Mirko Thalmann, Peter Dayan, Zeynep Akata, Eric Schulz:
Building, Reusing, and Generalizing Abstract Representations from Concrete Sequences. CoRR abs/2410.21332 (2024) - [i117]Karsten Roth, Zeynep Akata, Dima Damen, Ivana Balazevic, Olivier J. Hénaff:
Context-Aware Multimodal Pretraining. CoRR abs/2411.15099 (2024) - [i116]Sanghwan Kim, Rui Xiao, Mariana-Iuliana Georgescu, Stephan Alaniz, Zeynep Akata:
COSMOS: Cross-Modality Self-Distillation for Vision Language Pre-training. CoRR abs/2412.01814 (2024) - [i115]Rui Xiao, Sanghwan Kim, Mariana-Iuliana Georgescu, Zeynep Akata, Stephan Alaniz:
FLAIR: VLM with Fine-grained Language-informed Image Representations. CoRR abs/2412.03561 (2024) - [i114]Anton Baumann, Rui Li, Marcus Klasson, Santeri Mentu, Shyamgopal Karthik, Zeynep Akata, Arno Solin, Martin Trapp:
Post-hoc Probabilistic Vision-Language Models. CoRR abs/2412.06014 (2024) - [i113]Sebastian Dziadzio, Vishaal Udandarao, Karsten Roth, Ameya Prabhu, Zeynep Akata, Samuel Albanie, Matthias Bethge:
How to Merge Your Multimodal Models Over Time? CoRR abs/2412.06712 (2024) - 2023
- [j14]Junsuk Choe, Seong Joon Oh, Sanghyuk Chun, Seungho Lee, Zeynep Akata, Hyunjung Shim:
Evaluation for Weakly Supervised Object Localization: Protocol, Metrics, and Datasets. IEEE Trans. Pattern Anal. Mach. Intell. 45(2): 1732-1748 (2023) - [j13]Leander Girrbach, Anders Christensen, Ole Winther, Zeynep Akata, A. Sophia Koepke:
Addressing caveats of neural persistence with deep graph persistence. Trans. Mach. Learn. Res. 2023 (2023) - [j12]A. Sophia Koepke, Andreea-Maria Oncescu, João F. Henriques, Zeynep Akata, Samuel Albanie:
Audio Retrieval With Natural Language Queries: A Benchmark Study. IEEE Trans. Multim. 25: 2675-2685 (2023) - [c91]Thomas Hummel, Otniel-Bogdan Mercea, A. Sophia Koepke, Zeynep Akata:
Video-adverb retrieval with compositional adverb-action embeddings. BMVC 2023: 581-588 - [c90]Jae-Myung Kim, A. Sophia Koepke, Cordelia Schmid, Zeynep Akata:
Exposing and Mitigating Spurious Correlations for Cross-Modal Retrieval. CVPR Workshops 2023: 2585-2595 - [c89]Youngwook Kim, Jae-Myung Kim, Jieun Jeong, Cordelia Schmid, Zeynep Akata, Jungwoo Lee:
Bridging the Gap Between Model Explanations in Partially Annotated Multi-Label Classification. CVPR 2023: 3408-3417 - [c88]Sebastian Bordt, Uddeshya Upadhyay, Zeynep Akata, Ulrike von Luxburg:
The Manifold Hypothesis for Gradient-Based Explanations. CVPR Workshops 2023: 3697-3702 - [c87]Meghal Dani, Isabel Rio-Torto, Stephan Alaniz, Zeynep Akata:
DeViL: Decoding Vision features into Language. DAGM 2023: 363-377 - [c86]Leonard Salewski, A. Sophia Koepke, Hendrik P. A. Lensch, Zeynep Akata:
Zero-Shot Translation of Attention Patterns in VQA Models to Natural Language. DAGM 2023: 378-393 - [c85]Otniel-Bogdan Mercea, Thomas Hummel, A. Sophia Koepke, Zeynep Akata:
Text-to-Feature Diffusion for Audio-Visual Few-Shot Learning. DAGM 2023: 491-507 - [c84]Robert van der Klis, Stephan Alaniz, Massimiliano Mancini, Cássio Fraga Dantas, Dino Ienco, Zeynep Akata, Diego Marcos:
PDiscoNet: Semantically consistent part discovery for fine-grained recognition. ICCV 2023: 1866-1876 - [c83]Uddeshya Upadhyay, Shyamgopal Karthik, Massimiliano Mancini, Zeynep Akata:
ProbVLM: Probabilistic Adapter for Frozen Vison-Language Models. ICCV 2023: 1899-1910 - [c82]Karsten Roth, Jae-Myung Kim, A. Sophia Koepke, Oriol Vinyals, Cordelia Schmid, Zeynep Akata:
Waffling around for Performance: Visual Classification with Random Words and Broad Concepts. ICCV 2023: 15700-15711 - [c81]Stephan Alaniz, Massimiliano Mancini, Zeynep Akata:
Iterative Superquadric Recomposition of 3D Objects from Multiple Views. ICCV 2023: 17967-17977 - [c80]Anders Christensen, Massimiliano Mancini, A. Sophia Koepke, Ole Winther, Zeynep Akata:
Image-free Classifier Injection for Zero-Shot Classification. ICCV 2023: 19026-19035 - [c79]Karsten Roth, Mark Ibrahim, Zeynep Akata, Pascal Vincent, Diane Bouchacourt:
Disentanglement of Correlated Factors via Hausdorff Factorized Support. ICLR 2023 - [c78]Abhra Chaudhuri, Massimiliano Mancini, Zeynep Akata, Anjan Dutta:
Transitivity Recovering Decompositions: Interpretable and Robust Fine-Grained Relationships. NeurIPS 2023 - [c77]Julian Coda-Forno, Marcel Binz, Zeynep Akata, Matt M. Botvinick, Jane X. Wang, Eric Schulz:
Meta-in-context learning in large language models. NeurIPS 2023 - [c76]Leonard Salewski, Stephan Alaniz, Isabel Rio-Torto, Eric Schulz, Zeynep Akata:
In-Context Impersonation Reveals Large Language Models' Strengths and Biases. NeurIPS 2023 - [c75]Vikrant Rangnekar, Uddeshya Upadhyay, Zeynep Akata, Biplab Banerjee:
USIM-DAL: Uncertainty-aware Statistical Image Modeling-based Dense Active Learning for Super-resolution. UAI 2023: 1707-1717 - [c74]Anurag Das, Yongqin Xian, Yang He, Zeynep Akata, Bernt Schiele:
Urban Scene Semantic Segmentation with Low-Cost Coarse Annotation. WACV 2023: 5967-5976 - [c73]Sebastian Bordt, Uddeshya Upadhyay, Zeynep Akata, Ulrike von Luxburg:
The Manifold Hypothesis for Gradient-Based Explanations. XAI4CV 2023: 3697-3702 - [i112]Uddeshya Upadhyay, Jae-Myung Kim, Cordelia Schmid, Bernhard Schölkopf, Zeynep Akata:
Posterior Annealing: Fast Calibrated Uncertainty for Regression. CoRR abs/2302.11012 (2023) - [i111]Youngwook Kim, Jae-Myung Kim, Jieun Jeong, Cordelia Schmid, Zeynep Akata, Jungwoo Lee:
Bridging the Gap between Model Explanations in Partially Annotated Multi-label Classification. CoRR abs/2304.01804 (2023) - [i110]Jae-Myung Kim, A. Sophia Koepke, Cordelia Schmid, Zeynep Akata:
Exposing and Mitigating Spurious Correlations for Cross-Modal Retrieval. CoRR abs/2304.03391 (2023) - [i109]Julian Coda-Forno, Kristin Witte, Akshay K. Jagadish, Marcel Binz, Zeynep Akata, Eric Schulz:
Inducing anxiety in large language models increases exploration and bias. CoRR abs/2304.11111 (2023) - [i108]Julian Coda-Forno, Marcel Binz, Zeynep Akata, Matthew M. Botvinick, Jane X. Wang, Eric Schulz:
Meta-in-context learning in large language models. CoRR abs/2305.12907 (2023) - [i107]Shyamgopal Karthik, Karsten Roth, Massimiliano Mancini, Zeynep Akata:
If at First You Don't Succeed, Try, Try Again: Faithful Diffusion-based Text-to-Image Generation by Selection. CoRR abs/2305.13308 (2023) - [i106]Leonard Salewski, Stephan Alaniz, Isabel Rio-Torto, Eric Schulz, Zeynep Akata:
In-Context Impersonation Reveals Large Language Models' Strengths and Biases. CoRR abs/2305.14930 (2023) - [i105]Vikrant Rangnekar, Uddeshya Upadhyay, Zeynep Akata, Biplab Banerjee:
USIM-DAL: Uncertainty-aware Statistical Image Modeling-based Dense Active Learning for Super-resolution. CoRR abs/2305.17520 (2023) - [i104]Karsten Roth, Jae-Myung Kim, A. Sophia Koepke, Oriol Vinyals, Cordelia Schmid, Zeynep Akata:
Waffling around for Performance: Visual Classification with Random Words and Broad Concepts. CoRR abs/2306.07282 (2023) - [i103]Uddeshya Upadhyay, Shyamgopal Karthik, Massimiliano Mancini, Zeynep Akata:
ProbVLM: Probabilistic Adapter for Frozen Vison-Language Models. CoRR abs/2307.00398 (2023) - [i102]Leander Girrbach, Anders Christensen, Ole Winther, Zeynep Akata, A. Sophia Koepke:
Addressing caveats of neural persistence with deep graph persistence. CoRR abs/2307.10865 (2023) - [i101]Anders Christensen, Massimiliano Mancini, A. Sophia Koepke, Ole Winther, Zeynep Akata:
Image-free Classifier Injection for Zero-Shot Classification. CoRR abs/2308.10599 (2023) - [i100]Meghal Dani, Isabel Rio-Torto, Stephan Alaniz, Zeynep Akata:
DeViL: Decoding Vision features into Language. CoRR abs/2309.01617 (2023) - [i99]Stephan Alaniz, Massimiliano Mancini, Zeynep Akata:
Iterative Superquadric Recomposition of 3D Objects from Multiple Views. CoRR abs/2309.02102 (2023) - [i98]Robert van der Klis, Stephan Alaniz, Massimiliano Mancini, Cássio F. Dantas, Dino Ienco, Zeynep Akata, Diego Marcos:
PDiscoNet: Semantically consistent part discovery for fine-grained recognition. CoRR abs/2309.03173 (2023) - [i97]Otniel-Bogdan Mercea, Thomas Hummel, A. Sophia Koepke, Zeynep Akata:
Text-to-feature diffusion for audio-visual few-shot learning. CoRR abs/2309.03869 (2023) - [i96]Thomas Hummel, Otniel-Bogdan Mercea, A. Sophia Koepke, Zeynep Akata:
Video-adverb retrieval with compositional adverb-action embeddings. CoRR abs/2309.15086 (2023) - [i95]Shyamgopal Karthik, Karsten Roth, Massimiliano Mancini, Zeynep Akata:
Vision-by-Language for Training-Free Compositional Image Retrieval. CoRR abs/2310.09291 (2023) - [i94]Abhra Chaudhuri, Massimiliano Mancini, Zeynep Akata, Anjan Dutta:
Transitivity Recovering Decompositions: Interpretable and Robust Fine-Grained Relationships. CoRR abs/2310.15999 (2023) - [i93]Karsten Roth, Lukas Thede, Almut Sophia Koepke, Oriol Vinyals, Olivier J. Hénaff, Zeynep Akata:
Fantastic Gains and Where to Find Them: On the Existence and Prospect of General Knowledge Transfer between Any Pretrained Model. CoRR abs/2310.17653 (2023) - [i92]Leonard Salewski, A. Sophia Koepke, Hendrik P. A. Lensch, Zeynep Akata:
Zero-shot Translation of Attention Patterns in VQA Models to Natural Language. CoRR abs/2311.05043 (2023) - [i91]Leonard Salewski, Stefan Fauth, A. Sophia Koepke, Zeynep Akata:
Zero-shot audio captioning with audio-language model guidance and audio context keywords. CoRR abs/2311.08396 (2023) - [i90]Luca Eyring, Dominik Klein, Théo Uscidda, Giovanni Palla, Niki Kilbertus, Zeynep Akata, Fabian J. Theis:
Unbalancedness in Neural Monge Maps Improves Unpaired Domain Translation. CoRR abs/2311.15100 (2023) - [i89]Marcel Binz, Stephan Alaniz, Adina Roskies, Balazs Aczel, Carl T. Bergstrom, Colin Allen, Daniel Schad, Dirk U. Wulff, Jevin D. West, Qiong Zhang, Richard M. Shiffrin, Samuel J. Gershman, Ven Popov, Emily M. Bender, Marco Marelli, Matthew M. Botvinick, Zeynep Akata, Eric Schulz:
How should the advent of large language models affect the practice of science? CoRR abs/2312.03759 (2023) - 2022
- [j11]Wenjia Xu, Yongqin Xian, Jiuniu Wang, Bernt Schiele, Zeynep Akata:
Attribute Prototype Network for Any-Shot Learning. Int. J. Comput. Vis. 130(7): 1735-1753 (2022) - [j10]Ushasi Chaudhuri, Ruchika Chavan, Biplab Banerjee, Anjan Dutta, Zeynep Akata:
BDA-SketRet: Bi-level domain adaptation for zero-shot SBIR. Neurocomputing 514: 245-255 (2022) - [j9]Yongqin Xian, Bruno Korbar, Matthijs Douze, Lorenzo Torresani, Bernt Schiele, Zeynep Akata:
Generalized Few-Shot Video Classification With Video Retrieval and Feature Generation. IEEE Trans. Pattern Anal. Mach. Intell. 44(12): 8949-8961 (2022) - [j8]Diego Marcos, Aike Potze, Wenjia Xu, Devis Tuia, Zeynep Akata:
Attribute Prediction as Multiple Instance Learning. Trans. Mach. Learn. Res. 2022 (2022) - [c72]Yongqin Xian, Julian Chibane, Bharat Lal Bhatnagar, Bernt Schiele, Zeynep Akata, Gerard Pons-Moll:
Any-Shot GIN: Generalizing Implicit Networks for Reconstructing Novel Classes. 3DV 2022: 526-535 - [c71]Abhra Chaudhuri, Massimiliano Mancini, Yanbei Chen, Zeynep Akata, Anjan Dutta:
Cross-Modal Fusion Distillation for Fine-Grained Sketch-Based Image Retrieval. BMVC 2022: 499 - [c70]Yuchen Ma, Yanbei Chen, Zeynep Akata:
Distilling Knowledge from Self-Supervised Teacher by Embedding Graph Alignment. BMVC 2022: 973 - [c69]Katrin Renz, Kashyap Chitta, Otniel-Bogdan Mercea, A. Sophia Koepke, Zeynep Akata, Andreas Geiger:
PlanT: Explainable Planning Transformers via Object-Level Representations. CoRL 2022: 459-470 - [c68]Samarth Sinha, Karsten Roth, Anirudh Goyal, Marzyeh Ghassemi, Zeynep Akata, Hugo Larochelle, Animesh Garg:
Uniform Priors for Data-Efficient Learning. CVPR Workshops 2022: 4016-4027 - [c67]Ilke Çugu, Massimiliano Mancini, Yanbei Chen, Zeynep Akata:
Attention Consistency on Visual Corruptions for Single-Source Domain Generalization. CVPR Workshops 2022: 4164-4173 - [c66]Stephan Alaniz, Marco Federici, Zeynep Akata:
Compositional Mixture Representations for Vision and Text. CVPR Workshops 2022: 4201-4210 - [c65]Neculai Andrei, Yanbei Chen, Zeynep Akata:
Probabilistic Compositional Embeddings for Multimodal Image Retrieval. CVPR Workshops 2022: 4546-4556 - [c64]Karsten Roth, Oriol Vinyals, Zeynep Akata:
Non-isotropy Regularization for Proxy-based Deep Metric Learning. CVPR 2022: 7410-7420 - [c63]Wenjia Xu, Yongqin Xian, Jiuniu Wang, Bernt Schiele, Zeynep Akata:
VGSE: Visually-Grounded Semantic Embeddings for Zero-Shot Learning. CVPR 2022: 9306-9315 - [c62]Shyamgopal Karthik, Massimiliano Mancini, Zeynep Akata:
KG-SP: Knowledge Guided Simple Primitives for Open World Compositional Zero-Shot Learning. CVPR 2022: 9326-9335 - [c61]Otniel-Bogdan Mercea, Lukas Riesch, A. Sophia Koepke, Zeynep Akata:
Audiovisual Generalised Zero-shot Learning with Cross-modal Attention and Language. CVPR 2022: 10543-10553 - [c60]Youngwook Kim, Jae-Myung Kim, Zeynep Akata, Jungwoo Lee:
Large Loss Matters in Weakly Supervised Multi-Label Classification. CVPR 2022: 14136-14145 - [c59]Karsten Roth, Oriol Vinyals, Zeynep Akata:
Integrating Language Guidance into Vision-based Deep Metric Learning. CVPR 2022: 16156-16168 - [c58]Uddeshya Upadhyay, Shyamgopal Karthik, Yanbei Chen, Massimiliano Mancini, Zeynep Akata:
BayesCap: Bayesian Identity Cap for Calibrated Uncertainty in Frozen Neural Networks. ECCV (12) 2022: 299-317 - [c57]Stephan Alaniz, Massimiliano Mancini, Anjan Dutta, Diego Marcos, Zeynep Akata:
Abstracting Sketches Through Simple Primitives. ECCV (29) 2022: 396-412 - [c56]Michael Kirchhof, Karsten Roth, Zeynep Akata, Enkelejda Kasneci:
A Non-isotropic Probabilistic Take on Proxy-based Deep Metric Learning. ECCV (26) 2022: 435-454 - [c55]Otniel-Bogdan Mercea, Thomas Hummel, A. Sophia Koepke, Zeynep Akata:
Temporal and Cross-modal Attention for Audio-Visual Zero-Shot Learning. ECCV (20) 2022: 488-505 - [c54]Abhra Chaudhuri, Massimiliano Mancini, Zeynep Akata, Anjan Dutta:
Relational Proxies: Emergent Relationships as Fine-Grained Discriminators. NeurIPS 2022 - [i88]Ushasi Chaudhuri, Ruchika Chavhan, Biplab Banerjee, Anjan Dutta, Zeynep Akata:
BDA-SketRet: Bi-Level Domain Adaptation for Zero-Shot SBIR. CoRR abs/2201.06570 (2022) - [i87]Otniel-Bogdan Mercea, Lukas Riesch, A. Sophia Koepke, Zeynep Akata:
Audio-visual Generalised Zero-shot Learning with Cross-modal Attention and Language. CoRR abs/2203.03598 (2022) - [i86]Karsten Roth, Oriol Vinyals, Zeynep Akata:
Integrating Language Guidance into Vision-based Deep Metric Learning. CoRR abs/2203.08543 (2022) - [i85]Karsten Roth, Oriol Vinyals, Zeynep Akata:
Non-isotropy Regularization for Proxy-based Deep Metric Learning. CoRR abs/2203.08547 (2022) - [i84]Wenjia Xu, Yongqin Xian, Jiuniu Wang, Bernt Schiele, Zeynep Akata:
VGSE: Visually-Grounded Semantic Embeddings for Zero-Shot Learning. CoRR abs/2203.10444 (2022) - [i83]Wenjia Xu, Yongqin Xian, Jiuniu Wang, Bernt Schiele, Zeynep Akata:
Attribute Prototype Network for Any-Shot Learning. CoRR abs/2204.01208 (2022) - [i82]Leonard Salewski, A. Sophia Koepke, Hendrik P. A. Lensch, Zeynep Akata:
CLEVR-X: A Visual Reasoning Dataset for Natural Language Explanations. CoRR abs/2204.02380 (2022) - [i81]Neculai Andrei, Yanbei Chen, Zeynep Akata:
Probabilistic Compositional Embeddings for Multimodal Image Retrieval. CoRR abs/2204.05845 (2022) - [i80]Ilke Çugu, Massimiliano Mancini, Yanbei Chen, Zeynep Akata:
Attention Consistency on Visual Corruptions for Single-Source Domain Generalization. CoRR abs/2204.13091 (2022) - [i79]Shyamgopal Karthik, Massimiliano Mancini, Zeynep Akata:
KG-SP: Knowledge Guided Simple Primitives for Open World Compositional Zero-Shot Learning. CoRR abs/2205.06784 (2022) - [i78]Youngwook Kim, Jae-Myung Kim, Zeynep Akata, Jungwoo Lee:
Large Loss Matters in Weakly Supervised Multi-Label Classification. CoRR abs/2206.03740 (2022) - [i77]Stephan Alaniz, Marco Federici, Zeynep Akata:
Compositional Mixture Representations for Vision and Text. CoRR abs/2206.06404 (2022) - [i76]Sebastian Bordt, Uddeshya Upadhyay, Zeynep Akata, Ulrike von Luxburg:
The Manifold Hypothesis for Gradient-Based Explanations. CoRR abs/2206.07387 (2022) - [i75]Michael Kirchhof, Karsten Roth, Zeynep Akata, Enkelejda Kasneci:
A Non-isotropic Probabilistic Take on Proxy-based Deep Metric Learning. CoRR abs/2207.03784 (2022) - [i74]Uddeshya Upadhyay, Shyamgopal Karthik, Yanbei Chen, Massimiliano Mancini, Zeynep Akata:
BayesCap: Bayesian Identity Cap for Calibrated Uncertainty in Frozen Neural Networks. CoRR abs/2207.06873 (2022) - [i73]Otniel-Bogdan Mercea, Thomas Hummel, A. Sophia Koepke, Zeynep Akata:
Temporal and cross-modal attention for audio-visual zero-shot learning. CoRR abs/2207.09966 (2022) - [i72]Stephan Alaniz, Massimiliano Mancini, Anjan Dutta, Diego Marcos, Zeynep Akata:
Abstracting Sketches through Simple Primitives. CoRR abs/2207.13543 (2022) - [i71]Yanbei Chen, Massimiliano Mancini, Xiatian Zhu, Zeynep Akata:
Semi-Supervised and Unsupervised Deep Visual Learning: A Survey. CoRR abs/2208.11296 (2022) - [i70]Stephan Alaniz, Thomas Hummel, Zeynep Akata:
Semantic Image Synthesis with Semantically Coupled VQ-Model. CoRR abs/2209.02536 (2022) - [i69]Abhra Chaudhuri, Massimiliano Mancini, Zeynep Akata, Anjan Dutta:
Relational Proxies: Emergent Relationships as Fine-Grained Discriminators. CoRR abs/2210.02149 (2022) - [i68]Karsten Roth, Mark Ibrahim, Zeynep Akata, Pascal Vincent, Diane Bouchacourt:
Disentanglement of Correlated Factors via Hausdorff Factorized Support. CoRR abs/2210.07347 (2022) - [i67]Abhra Chaudhuri, Massimiliano Mancini, Yanbei Chen, Zeynep Akata, Anjan Dutta:
Cross-Modal Fusion Distillation for Fine-Grained Sketch-Based Image Retrieval. CoRR abs/2210.10486 (2022) - [i66]Katrin Renz, Kashyap Chitta, Otniel-Bogdan Mercea, A. Sophia Koepke, Zeynep Akata, Andreas Geiger:
PlanT: Explainable Planning Transformers via Object-Level Representations. CoRR abs/2210.14222 (2022) - [i65]Zafir Stojanovski, Karsten Roth, Zeynep Akata:
Momentum-based Weight Interpolation of Strong Zero-Shot Models for Continual Learning. CoRR abs/2211.03186 (2022) - [i64]Yuchen Ma, Yanbei Chen, Zeynep Akata:
Distilling Knowledge from Self-Supervised Teacher by Embedding Graph Alignment. CoRR abs/2211.13264 (2022) - [i63]Anurag Das, Yongqin Xian, Yang He, Zeynep Akata, Bernt Schiele:
Urban Scene Semantic Segmentation with Low-Cost Coarse Annotation. CoRR abs/2212.07911 (2022) - 2021
- [j7]Zeynep Akata, Andreas Geiger, Torsten Sattler:
Computer Vision and Pattern Recognition 2020. Int. J. Comput. Vis. 129(12): 3169-3170 (2021) - [c53]Lennart Alexander Van der Goten, Tobias Hepp, Zeynep Akata, Kevin Smith:
Conditional De-Identification of 3D Magnetic Resonance Images. BMVC 2021: 86 - [c52]Yao Rong, Wenjia Xu, Zeynep Akata, Enkelejda Kasneci:
Human Attention in Fine-grained Classification. BMVC 2021: 150 - [c51]Fabio Cermelli, Massimiliano Mancini, Yongqin Xian, Zeynep Akata, Barbara Caputo:
Prototype-based Incremental Few-Shot Segmentation. BMVC 2021: 155 - [c50]Muhammad Ferjad Naeem, Yongqin Xian, Federico Tombari, Zeynep Akata:
Learning Graph Embeddings for Compositional Zero-Shot Learning. CVPR 2021: 953-962 - [c49]Giuseppe Pastore, Fabio Cermelli, Yongqin Xian, Massimiliano Mancini, Zeynep Akata, Barbara Caputo:
A Closer Look at Self-Training for Zero-Label Semantic Segmentation. CVPR Workshops 2021: 2693-2702 - [c48]Massimiliano Mancini, Muhammad Ferjad Naeem, Yongqin Xian, Zeynep Akata:
Open World Compositional Zero-Shot Learning. CVPR 2021: 5222-5230 - [c47]Yanbei Chen, Yongqin Xian, A. Sophia Koepke, Ying Shan, Zeynep Akata:
Distilling Audio-Visual Knowledge by Compositional Contrastive Learning. CVPR 2021: 7016-7025 - [c46]Stephan Alaniz, Diego Marcos, Bernt Schiele, Zeynep Akata:
Learning Decision Trees Recurrently Through Communication. CVPR 2021: 13518-13527 - [c45]Anurag Das, Yongqin Xian, Yang He, Bernt Schiele, Zeynep Akata:
(SP)2Net for Generalized Zero-Label Semantic Segmentation. GCPR 2021: 235-249 - [c44]Maxime Kayser, Oana-Maria Camburu, Leonard Salewski, Cornelius Emde, Virginie Do, Zeynep Akata, Thomas Lukasiewicz:
e-ViL: A Dataset and Benchmark for Natural Language Explanations in Vision-Language Tasks. ICCV 2021: 1224-1234 - [c43]Jae-Myung Kim, Junsuk Choe, Zeynep Akata, Seong Joon Oh:
Keep CALM and Improve Visual Feature Attribution. ICCV 2021: 8330-8340 - [c42]Anjan Dutta, Massimiliano Mancini, Zeynep Akata:
Concurrent Discrimination and Alignment for Self-Supervised Feature Learning. ICCVW 2021: 2189-2198 - [c41]Andreea-Maria Oncescu, A. Sophia Koepke, João F. Henriques, Zeynep Akata, Samuel Albanie:
Audio Retrieval with Natural Language Queries. Interspeech 2021: 2411-2415 - [c40]Uddeshya Upadhyay, Yanbei Chen, Tobias Hepp, Sergios Gatidis, Zeynep Akata:
Uncertainty-Guided Progressive GANs for Medical Image Translation. MICCAI (3) 2021: 614-624 - [c39]Sarkhan Badirli, Zeynep Akata, George O. Mohler, Christine Picard, Murat Dundar:
Fine-Grained Zero-Shot Learning with DNA as Side Information. NeurIPS 2021: 19352-19362 - [c38]Uddeshya Upadhyay, Yanbei Chen, Zeynep Akata:
Robustness via Uncertainty-aware Cycle Consistency. NeurIPS 2021: 28261-28273 - [e1]Zeynep Akata, Andreas Geiger, Torsten Sattler:
Pattern Recognition - 42nd DAGM German Conference, DAGM GCPR 2020, Tübingen, Germany, September 28 - October 1, 2020, Proceedings. Lecture Notes in Computer Science 12544, Springer 2021, ISBN 978-3-030-71277-8 [contents] - [i62]Massimiliano Mancini, Muhammad Ferjad Naeem, Yongqin Xian, Zeynep Akata:
Open World Compositional Zero-Shot Learning. CoRR abs/2101.12609 (2021) - [i61]Muhammad Ferjad Naeem, Yongqin Xian, Federico Tombari, Zeynep Akata:
Learning Graph Embeddings for Compositional Zero-shot Learning. CoRR abs/2102.01987 (2021) - [i60]Uddeshya Upadhyay, Yanbei Chen, Zeynep Akata:
Uncertainty-aware Generalized Adaptive CycleGAN. CoRR abs/2102.11747 (2021) - [i59]Yanbei Chen, Yongqin Xian, A. Sophia Koepke, Ying Shan, Zeynep Akata:
Distilling Audio-Visual Knowledge by Compositional Contrastive Learning. CoRR abs/2104.10955 (2021) - [i58]Giuseppe Pastore, Fabio Cermelli, Yongqin Xian, Massimiliano Mancini, Zeynep Akata, Barbara Caputo:
A Closer Look at Self-training for Zero-Label Semantic Segmentation. CoRR abs/2104.11692 (2021) - [i57]Massimiliano Mancini, Muhammad Ferjad Naeem, Yongqin Xian, Zeynep Akata:
Learning Graph Embeddings for Open World Compositional Zero-Shot Learning. CoRR abs/2105.01017 (2021) - [i56]Yanbei Chen, Thomas Hummel, A. Sophia Koepke, Zeynep Akata:
Where and When: Space-Time Attention for Audio-Visual Explanations. CoRR abs/2105.01517 (2021) - [i55]Andreea-Maria Oncescu, A. Sophia Koepke, João F. Henriques, Zeynep Akata, Samuel Albanie:
Audio Retrieval with Natural Language Queries. CoRR abs/2105.02192 (2021) - [i54]Maxime Kayser, Oana-Maria Camburu, Leonard Salewski, Cornelius Emde, Virginie Do, Zeynep Akata, Thomas Lukasiewicz:
e-ViL: A Dataset and Benchmark for Natural Language Explanations in Vision-Language Tasks. CoRR abs/2105.03761 (2021) - [i53]Jae-Myung Kim, Junsuk Choe, Zeynep Akata, Seong Joon Oh:
Keep CALM and Improve Visual Feature Attribution. CoRR abs/2106.07861 (2021) - [i52]Uddeshya Upadhyay, Yanbei Chen, Tobias Hepp, Sergios Gatidis, Zeynep Akata:
Uncertainty-Guided Progressive GANs for Medical Image Translation. CoRR abs/2106.15542 (2021) - [i51]Anjan Dutta, Massimiliano Mancini, Zeynep Akata:
Concurrent Discrimination and Alignment for Self-Supervised Feature Learning. CoRR abs/2108.08562 (2021) - [i50]Sarkhan Badirli, Zeynep Akata, George O. Mohler, Christine Picard, Murat Dundar:
Fine-Grained Zero-Shot Learning with DNA as Side Information. CoRR abs/2109.14133 (2021) - [i49]Lennart Alexander Van der Goten, Tobias Hepp, Zeynep Akata, Kevin Smith:
Conditional De-Identification of 3D Magnetic Resonance Images. CoRR abs/2110.09927 (2021) - [i48]Uddeshya Upadhyay, Yanbei Chen, Zeynep Akata:
Robustness via Uncertainty-aware Cycle Consistency. CoRR abs/2110.12467 (2021) - [i47]Yao Rong, Wenjia Xu, Zeynep Akata, Enkelejda Kasneci:
Human Attention in Fine-grained Classification. CoRR abs/2111.01628 (2021) - [i46]A. Sophia Koepke, Andreea-Maria Oncescu, João F. Henriques, Zeynep Akata, Samuel Albanie:
Audio Retrieval with Natural Language Queries: A Benchmark Study. CoRR abs/2112.09418 (2021) - 2020
- [j6]Zeynep Akata, Dan Balliet, Maarten de Rijke, Frank Dignum, Virginia Dignum, Guszti Eiben, Antske Fokkens, Davide Grossi, Koen V. Hindriks, Holger H. Hoos, Hayley Hung, Catholijn M. Jonker, Christof Monz, Mark A. Neerincx, Frans A. Oliehoek, Henry Prakken, Stefan Schlobach, Linda C. van der Gaag, Frank van Harmelen, Herke van Hoof, Birna van Riemsdijk, Aimee van Wynsberghe, Rineke Verbrugge, Bart Verheij, Piek Vossen, Max Welling:
A Research Agenda for Hybrid Intelligence: Augmenting Human Intellect With Collaborative, Adaptive, Responsible, and Explainable Artificial Intelligence. Computer 53(8): 18-28 (2020) - [j5]Anjan Dutta, Zeynep Akata:
Semantically Tied Paired Cycle Consistency for Any-Shot Sketch-Based Image Retrieval. Int. J. Comput. Vis. 128(10): 2684-2703 (2020) - [j4]Levent Karacan, Zeynep Akata, Aykut Erdem, Erkut Erdem:
Manipulating Attributes of Natural Scenes via Hallucination. ACM Trans. Graph. 39(1): 7:1-7:17 (2020) - [c37]Junsuk Choe, Seong Joon Oh, Seungho Lee, Sanghyuk Chun, Zeynep Akata, Hyunjung Shim:
Evaluating Weakly Supervised Object Localization Methods Right. CVPR 2020: 3130-3139 - [c36]Yongqin Xian, Bruno Korbar, Matthijs Douze, Bernt Schiele, Zeynep Akata, Lorenzo Torresani:
Generalized Many-Way Few-Shot Video Classification. ECCV Workshops (6) 2020: 111-127 - [c35]Massimiliano Mancini, Zeynep Akata, Elisa Ricci, Barbara Caputo:
Towards Recognizing Unseen Categories in Unseen Domains. ECCV (23) 2020: 466-483 - [c34]Wenjia Xu, Jiuniu Wang, Yang Wang, Yirong Wu, Zeynep Akata:
Generating Visual and Semantic Explanations with Multi-task Network. ECCV Workshops (1) 2020: 620-635 - [c33]Sarkhan Badirli, Zeynep Akata, Murat Dundar:
Bayesian Zero-Shot Learning. ECCV Workshops (1) 2020: 687-703 - [c32]Marco Federici, Anjan Dutta, Patrick Forré, Nate Kushman, Zeynep Akata:
Learning Robust Representations via Multi-View Information Bottleneck. ICLR 2020 - [c31]Leonard Salewski, A. Sophia Koepke, Hendrik P. A. Lensch, Zeynep Akata:
CLEVR-X: A Visual Reasoning Dataset for Natural Language Explanations. xxAI@ICML 2020: 69-88 - [c30]Yao Rong, Zeynep Akata, Enkelejda Kasneci:
Driver Intention Anticipation Based on In-Cabin and Driving Scene Monitoring. ITSC 2020: 1-8 - [c29]Wenjia Xu, Yongqin Xian, Jiuniu Wang, Bernt Schiele, Zeynep Akata:
Attribute Prototype Network for Zero-Shot Learning. NeurIPS 2020 - [i45]Junsuk Choe, Seong Joon Oh, Seungho Lee, Sanghyuk Chun, Zeynep Akata, Hyunjung Shim:
Evaluating Weakly Supervised Object Localization Methods Right. CoRR abs/2001.07437 (2020) - [i44]Marco Federici, Anjan Dutta, Patrick Forré, Nate Kushman, Zeynep Akata:
Learning Robust Representations via Multi-View Information Bottleneck. CoRR abs/2002.07017 (2020) - [i43]Virginie Do, Oana-Maria Camburu, Zeynep Akata, Thomas Lukasiewicz:
e-SNLI-VE-2.0: Corrected Visual-Textual Entailment with Natural Language Explanations. CoRR abs/2004.03744 (2020) - [i42]Anjan Dutta, Zeynep Akata:
Semantically Tied Paired Cycle Consistency for Any-Shot Sketch-based Image Retrieval. CoRR abs/2006.11397 (2020) - [i41]Yao Rong, Zeynep Akata, Enkelejda Kasneci:
Driver Intention Anticipation Based on In-Cabin and Driving Scene Monitoring. CoRR abs/2006.11557 (2020) - [i40]Junsuk Choe, Seong Joon Oh, Sanghyuk Chun, Zeynep Akata, Hyunjung Shim:
Evaluation for Weakly Supervised Object Localization: Protocol, Metrics, and Datasets. CoRR abs/2007.04178 (2020) - [i39]Yongqin Xian, Bruno Korbar, Matthijs Douze, Bernt Schiele, Zeynep Akata, Lorenzo Torresani:
Generalized Many-Way Few-Shot Video Classification. CoRR abs/2007.04755 (2020) - [i38]Massimiliano Mancini, Zeynep Akata, Elisa Ricci, Barbara Caputo:
Towards Recognizing Unseen Categories in Unseen Domains. CoRR abs/2007.12256 (2020) - [i37]Wenjia Xu, Yongqin Xian, Jiuniu Wang, Bernt Schiele, Zeynep Akata:
Attribute Prototype Network for Zero-Shot Learning. CoRR abs/2008.08290 (2020) - [i36]Fabio Cermelli, Massimiliano Mancini, Yongqin Xian, Zeynep Akata, Barbara Caputo:
A Few Guidelines for Incremental Few-Shot Segmentation. CoRR abs/2012.01415 (2020)
2010 – 2019
- 2019
- [j3]Yongqin Xian, Christoph H. Lampert, Bernt Schiele, Zeynep Akata:
Zero-Shot Learning - A Comprehensive Evaluation of the Good, the Bad and the Ugly. IEEE Trans. Pattern Anal. Mach. Intell. 41(9): 2251-2265 (2019) - [c28]Yongqin Xian, Saurabh Sharma, Bernt Schiele, Zeynep Akata:
f-VAEGAN-D2: A Feature Generating Framework for Any-Shot Learning. CVPR Workshops 2019: 46-49 - [c27]Edgar Schönfeld, Sayna Ebrahimi, Samarth Sinha, Trevor Darrell, Zeynep Akata:
Generalized Zero-Shot Learning via Aligned Variational Autoencoders. CVPR Workshops 2019: 54-57 - [c26]Anjan Dutta, Zeynep Akata:
Semantically Tied Paired Cycle Consistency for Zero-Shot Sketch-Based Image Retrieval. CVPR 2019: 5089-5098 - [c25]Edgar Schönfeld, Sayna Ebrahimi, Samarth Sinha, Trevor Darrell, Zeynep Akata:
Generalized Zero- and Few-Shot Learning via Aligned Variational Autoencoders. CVPR 2019: 8247-8255 - [c24]Yongqin Xian, Subhabrata Choudhury, Yang He, Bernt Schiele, Zeynep Akata:
Semantic Projection Network for Zero- and Few-Label Semantic Segmentation. CVPR 2019: 8256-8265 - [c23]Yongqin Xian, Saurabh Sharma, Bernt Schiele, Zeynep Akata:
F-VAEGAN-D2: A Feature Generating Framework for Any-Shot Learning. CVPR 2019: 10275-10284 - [c22]Rodolfo Corona, Stephan Alaniz, Zeynep Akata:
Modeling Conceptual Understanding in Image Reference Games. NeurIPS 2019: 13155-13165 - [c21]Victor Garcia Satorras, Max Welling, Zeynep Akata:
Combining Generative and Discriminative Models for Hybrid Inference. NeurIPS 2019: 13802-13812 - [i35]Laurens Weitkamp, Elise van der Pol, Zeynep Akata:
Visual Rationalizations in Deep Reinforcement Learning for Atari Games. CoRR abs/1902.00566 (2019) - [i34]Stephan Alaniz, Zeynep Akata:
XOC: Explainable Observer-Classifier for Explainable Binary Decisions. CoRR abs/1902.01780 (2019) - [i33]Anjan Dutta, Zeynep Akata:
Semantically Tied Paired Cycle Consistency for Zero-Shot Sketch-based Image Retrieval. CoRR abs/1903.03372 (2019) - [i32]Yongqin Xian, Saurabh Sharma, Bernt Schiele, Zeynep Akata:
f-VAEGAN-D2: A Feature Generating Framework for Any-Shot Learning. CoRR abs/1903.10132 (2019) - [i31]Sadaf Gulshad, Jan Hendrik Metzen, Arnold W. M. Smeulders, Zeynep Akata:
Interpreting Adversarial Examples with Attributes. CoRR abs/1904.08279 (2019) - [i30]Victor Garcia Satorras, Zeynep Akata, Max Welling:
Combining Generative and Discriminative Models for Hybrid Inference. CoRR abs/1906.02547 (2019) - [i29]Xiahan Shi, Leonard Salewski, Martin Schiegg, Zeynep Akata, Max Welling:
Relational Generalized Few-Shot Learning. CoRR abs/1907.09557 (2019) - [i28]Sarkhan Badirli, Zeynep Akata, Murat Dundar:
Bayesian Zero-Shot Learning. CoRR abs/1907.09624 (2019) - [i27]Rodolfo Corona, Stephan Alaniz, Zeynep Akata:
Modeling Conceptual Understanding in Image Reference Games. CoRR abs/1910.04872 (2019) - [i26]Sadaf Gulshad, Zeynep Akata, Jan Hendrik Metzen, Arnold W. M. Smeulders:
Understanding Misclassifications by Attributes. CoRR abs/1910.07416 (2019) - 2018
- [c20]Laurens Weitkamp, Elise van der Pol, Zeynep Akata:
Visual Rationalizations in Deep Reinforcement Learning for Atari Games. BNCAI 2018: 151-165 - [c19]Randy Goebel, Ajay Chander, Katharina Holzinger, Freddy Lécué, Zeynep Akata, Simone Stumpf, Peter Kieseberg, Andreas Holzinger:
Explainable AI: The New 42? CD-MAKE 2018: 295-303 - [c18]Yongqin Xian, Tobias Lorenz, Bernt Schiele, Zeynep Akata:
Feature Generating Networks for Zero-Shot Learning. CVPR 2018: 5542-5551 - [c17]Dong Huk Park, Lisa Anne Hendricks, Zeynep Akata, Anna Rohrbach, Bernt Schiele, Trevor Darrell, Marcus Rohrbach:
Multimodal Explanations: Justifying Decisions and Pointing to the Evidence. CVPR 2018: 8779-8788 - [c16]Lisa Anne Hendricks, Ronghang Hu, Trevor Darrell, Zeynep Akata:
Grounding Visual Explanations. ECCV (2) 2018: 269-286 - [c15]Jinkyu Kim, Anna Rohrbach, Trevor Darrell, John F. Canny, Zeynep Akata:
Textual Explanations for Self-Driving Vehicles. ECCV (2) 2018: 577-593 - [c14]Zeynep Akata, Dena Bazazian, Yana Hasson, Angjoo Kanazawa, Hildegard Kuehne, Gül Varol:
WiCV at ECCV2018: The Fifth Women in Computer Vision Workshop. ECCV Workshops (4) 2018: 649-653 - [c13]Shihan Wang, Joris Alexander Timmer, Simon Scheider, Karlijn Sporrel, Zeynep Akata, Ben J. A. Kröse:
A Data-driven Study on Preferred Situations for Running. UbiComp/ISWC Adjunct 2018: 283-286 - [i25]Dong Huk Park, Lisa Anne Hendricks, Zeynep Akata, Anna Rohrbach, Bernt Schiele, Trevor Darrell, Marcus Rohrbach:
Multimodal Explanations: Justifying Decisions and Pointing to the Evidence. CoRR abs/1802.08129 (2018) - [i24]Mevlana Gemici, Zeynep Akata, Max Welling:
Primal-Dual Wasserstein GAN. CoRR abs/1805.09575 (2018) - [i23]Lisa Anne Hendricks, Ronghang Hu, Trevor Darrell, Zeynep Akata:
Generating Counterfactual Explanations with Natural Language. CoRR abs/1806.09809 (2018) - [i22]Lisa Anne Hendricks, Ronghang Hu, Trevor Darrell, Zeynep Akata:
Grounding Visual Explanations. CoRR abs/1807.09685 (2018) - [i21]Jinkyu Kim, Anna Rohrbach, Trevor Darrell, John F. Canny, Zeynep Akata:
Textual Explanations for Self-Driving Vehicles. CoRR abs/1807.11546 (2018) - [i20]Levent Karacan, Zeynep Akata, Aykut Erdem, Erkut Erdem:
Manipulating Attributes of Natural Scenes via Hallucination. CoRR abs/1808.07413 (2018) - [i19]Edgar Schönfeld, Sayna Ebrahimi, Samarth Sinha, Trevor Darrell, Zeynep Akata:
Generalized Zero- and Few-Shot Learning via Aligned Variational Autoencoders. CoRR abs/1812.01784 (2018) - 2017
- [c12]Yongqin Xian, Bernt Schiele, Zeynep Akata:
Zero-Shot Learning - The Good, the Bad and the Ugly. CVPR 2017: 3077-3086 - [c11]Seong Joon Oh, Rodrigo Benenson, Anna Khoreva, Zeynep Akata, Mario Fritz, Bernt Schiele:
Exploiting Saliency for Object Segmentation from Image Level Labels. CVPR 2017: 5038-5047 - [c10]Nour Karessli, Zeynep Akata, Bernt Schiele, Andreas Bulling:
Gaze Embeddings for Zero-Shot Image Classification. CVPR 2017: 6412-6421 - [i18]Seong Joon Oh, Rodrigo Benenson, Anna Khoreva, Zeynep Akata, Mario Fritz, Bernt Schiele:
Exploiting saliency for object segmentation from image level labels. CoRR abs/1701.08261 (2017) - [i17]Yongqin Xian, Bernt Schiele, Zeynep Akata:
Zero-Shot Learning - The Good, the Bad and the Ugly. CoRR abs/1703.04394 (2017) - [i16]Wenling Shang, Kihyuk Sohn, Zeynep Akata, Yuandong Tian:
Channel-Recurrent Variational Autoencoders. CoRR abs/1706.03729 (2017) - [i15]Yongqin Xian, Christoph H. Lampert, Bernt Schiele, Zeynep Akata:
Zero-Shot Learning - A Comprehensive Evaluation of the Good, the Bad and the Ugly. CoRR abs/1707.00600 (2017) - [i14]Lisa Anne Hendricks, Ronghang Hu, Trevor Darrell, Zeynep Akata:
Grounding Visual Explanations (Extended Abstract). CoRR abs/1711.06465 (2017) - [i13]Dong Huk Park, Lisa Anne Hendricks, Zeynep Akata, Anna Rohrbach, Bernt Schiele, Trevor Darrell, Marcus Rohrbach:
Attentive Explanations: Justifying Decisions and Pointing to the Evidence (Extended Abstract). CoRR abs/1711.07373 (2017) - [i12]Yongqin Xian, Tobias Lorenz, Bernt Schiele, Zeynep Akata:
Feature Generating Networks for Zero-Shot Learning. CoRR abs/1712.00981 (2017) - 2016
- [j2]Zeynep Akata, Florent Perronnin, Zaïd Harchaoui, Cordelia Schmid:
Label-Embedding for Image Classification. IEEE Trans. Pattern Anal. Mach. Intell. 38(7): 1425-1438 (2016) - [c9]Scott E. Reed, Zeynep Akata, Honglak Lee, Bernt Schiele:
Learning Deep Representations of Fine-Grained Visual Descriptions. CVPR 2016: 49-58 - [c8]Zeynep Akata, Mateusz Malinowski, Mario Fritz, Bernt Schiele:
Multi-cue Zero-Shot Learning with Strong Supervision. CVPR 2016: 59-68 - [c7]Yongqin Xian, Zeynep Akata, Gaurav Sharma, Quynh Nguyen, Matthias Hein, Bernt Schiele:
Latent Embeddings for Zero-Shot Classification. CVPR 2016: 69-77 - [c6]Lisa Anne Hendricks, Zeynep Akata, Marcus Rohrbach, Jeff Donahue, Bernt Schiele, Trevor Darrell:
Generating Visual Explanations. ECCV (4) 2016: 3-19 - [c5]Scott E. Reed, Zeynep Akata, Xinchen Yan, Lajanugen Logeswaran, Bernt Schiele, Honglak Lee:
Generative Adversarial Text to Image Synthesis. ICML 2016: 1060-1069 - [c4]Scott E. Reed, Zeynep Akata, Santosh Mohan, Samuel Tenka, Bernt Schiele, Honglak Lee:
Learning What and Where to Draw. NIPS 2016: 217-225 - [i11]Lisa Anne Hendricks, Zeynep Akata, Marcus Rohrbach, Jeff Donahue, Bernt Schiele, Trevor Darrell:
Generating Visual Explanations. CoRR abs/1603.08507 (2016) - [i10]Zeynep Akata, Mateusz Malinowski, Mario Fritz, Bernt Schiele:
Multi-Cue Zero-Shot Learning with Strong Supervision. CoRR abs/1603.08754 (2016) - [i9]Yongqin Xian, Zeynep Akata, Gaurav Sharma, Quynh Nguyen, Matthias Hein, Bernt Schiele:
Latent Embeddings for Zero-shot Classification. CoRR abs/1603.08895 (2016) - [i8]Scott E. Reed, Zeynep Akata, Bernt Schiele, Honglak Lee:
Learning Deep Representations of Fine-grained Visual Descriptions. CoRR abs/1605.05395 (2016) - [i7]Scott E. Reed, Zeynep Akata, Xinchen Yan, Lajanugen Logeswaran, Bernt Schiele, Honglak Lee:
Generative Adversarial Text to Image Synthesis. CoRR abs/1605.05396 (2016) - [i6]Scott E. Reed, Zeynep Akata, Santosh Mohan, Samuel Tenka, Bernt Schiele, Honglak Lee:
Learning What and Where to Draw. CoRR abs/1610.02454 (2016) - [i5]Nour Karessli, Zeynep Akata, Andreas Bulling, Bernt Schiele:
Gaze Embeddings for Zero-Shot Image Classification. CoRR abs/1611.09309 (2016) - [i4]Levent Karacan, Zeynep Akata, Aykut Erdem, Erkut Erdem:
Learning to Generate Images of Outdoor Scenes from Attributes and Semantic Layouts. CoRR abs/1612.00215 (2016) - [i3]Dong Huk Park, Lisa Anne Hendricks, Zeynep Akata, Bernt Schiele, Trevor Darrell, Marcus Rohrbach:
Attentive Explanations: Justifying Decisions and Pointing to the Evidence. CoRR abs/1612.04757 (2016) - 2015
- [c3]Zeynep Akata, Scott E. Reed, Daniel Walter, Honglak Lee, Bernt Schiele:
Evaluation of output embeddings for fine-grained image classification. CVPR 2015: 2927-2936 - [i2]Zeynep Akata, Florent Perronnin, Zaïd Harchaoui, Cordelia Schmid:
Label-Embedding for Image Classification. CoRR abs/1503.08677 (2015) - 2014
- [b1]Zeynep Akata:
Contributions to large-scale learning for image classification. (Contributions à l'apprentissage grande échelle pour la classification d'images). University of Grenoble, France, 2014 - [j1]Zeynep Akata, Florent Perronnin, Zaïd Harchaoui, Cordelia Schmid:
Good Practice in Large-Scale Learning for Image Classification. IEEE Trans. Pattern Anal. Mach. Intell. 36(3): 507-520 (2014) - [i1]Zeynep Akata, Honglak Lee, Bernt Schiele:
Zero-Shot Learning with Structured Embeddings. CoRR abs/1409.8403 (2014) - 2013
- [c2]Zeynep Akata, Florent Perronnin, Zaïd Harchaoui, Cordelia Schmid:
Label-Embedding for Attribute-Based Classification. CVPR 2013: 819-826 - 2012
- [c1]Florent Perronnin, Zeynep Akata, Zaïd Harchaoui, Cordelia Schmid:
Towards good practice in large-scale learning for image classification. CVPR 2012: 3482-3489
Coauthor Index
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