Zeynep Akata

According to our database, Zeynep Akata authored at least 95 papers between 2012 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

Attribute Prototype Network for Any-Shot Learning.

Wenjia Xu, Yongqin Xian, Jiuniu Wang, Bernt Schiele, Zeynep Akata

Int. J. Comput. Vis., 2022

Abstracting Sketches through Simple Primitives.

Stephan Alaniz, Massimiliano Mancini, Anjan Dutta, Diego Marcos, Zeynep Akata

CoRR, 2022

Temporal and cross-modal attention for audio-visual zero-shot learning.

Otniel-Bogdan Mercea, Thomas Hummel, A. Sophia Koepke, Zeynep Akata

CoRR, 2022

BayesCap: Bayesian Identity Cap for Calibrated Uncertainty in Frozen Neural Networks.

Uddeshya Upadhyay, Shyamgopal Karthik, Yanbei Chen, Massimiliano Mancini, Zeynep Akata

CoRR, 2022

A Non-isotropic Probabilistic Take on Proxy-based Deep Metric Learning.

Michael Kirchhof, Karsten Roth, Zeynep Akata, Enkelejda Kasneci

CoRR, 2022

The Manifold Hypothesis for Gradient-Based Explanations.

Sebastian Bordt, Uddeshya Upadhyay, Zeynep Akata, Ulrike von Luxburg

CoRR, 2022

Compositional Mixture Representations for Vision and Text.

Stephan Alaniz, Marco Federici, Zeynep Akata

CoRR, 2022

Large Loss Matters in Weakly Supervised Multi-Label Classification.

Youngwook Kim, Jae-Myung Kim, Zeynep Akata, Jungwoo Lee

CoRR, 2022

KG-SP: Knowledge Guided Simple Primitives for Open World Compositional Zero-Shot Learning.

Shyamgopal Karthik, Massimiliano Mancini, Zeynep Akata

CoRR, 2022

Attention Consistency on Visual Corruptions for Single-Source Domain Generalization.

Ilke Çugu, Massimiliano Mancini, Yanbei Chen, Zeynep Akata

CoRR, 2022

Probabilistic Compositional Embeddings for Multimodal Image Retrieval.

Neculai Andrei, Yanbei Chen, Zeynep Akata

CoRR, 2022

VGSE: Visually-Grounded Semantic Embeddings for Zero-Shot Learning.

Wenjia Xu, Yongqin Xian, Jiuniu Wang, Bernt Schiele, Zeynep Akata

CoRR, 2022

Non-isotropy Regularization for Proxy-based Deep Metric Learning.

Karsten Roth, Oriol Vinyals, Zeynep Akata

CoRR, 2022

Integrating Language Guidance into Vision-based Deep Metric Learning.

Karsten Roth, Oriol Vinyals, Zeynep Akata

CoRR, 2022

Audio-visual Generalised Zero-shot Learning with Cross-modal Attention and Language.

Otniel-Bogdan Mercea, Lukas Riesch, A. Sophia Koepke, Zeynep Akata

CoRR, 2022

BDA-SketRet: Bi-Level Domain Adaptation for Zero-Shot SBIR.

Ushasi Chaudhuri, Ruchika Chavhan, Biplab Banerjee, Anjan Dutta, Zeynep Akata

CoRR, 2022

2021

Computer Vision and Pattern Recognition 2020.

Zeynep Akata, Andreas Geiger, Torsten Sattler

Int. J. Comput. Vis., 2021

Audio Retrieval with Natural Language Queries: A Benchmark Study.

A. Sophia Koepke, Andreea-Maria Oncescu, João F. Henriques, Zeynep Akata, Samuel Albanie

CoRR, 2021

Where and When: Space-Time Attention for Audio-Visual Explanations.

Yanbei Chen, Thomas Hummel, A. Sophia Koepke, Zeynep Akata

CoRR, 2021

Learning Graph Embeddings for Open World Compositional Zero-Shot Learning.

Massimiliano Mancini, Muhammad Ferjad Naeem, Yongqin Xian, Zeynep Akata

CoRR, 2021

Uncertainty-aware Generalized Adaptive CycleGAN.

Uddeshya Upadhyay, Yanbei Chen, Zeynep Akata

CoRR, 2021

Robustness via Uncertainty-aware Cycle Consistency.

Uddeshya Upadhyay, Yanbei Chen, Zeynep Akata

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Fine-Grained Zero-Shot Learning with DNA as Side Information.

Sarkhan Badirli, Zeynep Akata, George O. Mohler, Christine Picard, Murat Dundar

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Uncertainty-Guided Progressive GANs for Medical Image Translation.

Uddeshya Upadhyay, Yanbei Chen, Tobias Hepp, Sergios Gatidis, Zeynep Akata

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Audio Retrieval with Natural Language Queries.

Andreea-Maria Oncescu, A. Sophia Koepke, João F. Henriques, Zeynep Akata, Samuel Albanie

Proceedings of the Interspeech 2021, 22nd Annual Conference of the International Speech Communication Association, Brno, Czechia, 30 August, 2021

Concurrent Discrimination and Alignment for Self-Supervised Feature Learning.

Anjan Dutta, Massimiliano Mancini, Zeynep Akata

Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

Keep CALM and Improve Visual Feature Attribution.

Jae-Myung Kim, Junsuk Choe, Zeynep Akata, Seong Joon Oh

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

e-ViL: A Dataset and Benchmark for Natural Language Explanations in Vision-Language Tasks.

Maxime Kayser, Oana-Maria Camburu, Leonard Salewski, Cornelius Emde, Virginie Do, Zeynep Akata, Thomas Lukasiewicz

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

(SP)²Net for Generalized Zero-Label Semantic Segmentation.

Anurag Das, Yongqin Xian, Yang He, Bernt Schiele, Zeynep Akata

Proceedings of the Pattern Recognition - 43rd DAGM German Conference, DAGM GCPR 2021, Bonn, Germany, September 28, 2021

A Closer Look at Self-Training for Zero-Label Semantic Segmentation.

Giuseppe Pastore, Fabio Cermelli, Yongqin Xian, Massimiliano Mancini, Zeynep Akata, Barbara Caputo

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

Learning Graph Embeddings for Compositional Zero-Shot Learning.

Muhammad Ferjad Naeem, Yongqin Xian, Federico Tombari, Zeynep Akata

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Open World Compositional Zero-Shot Learning.

Massimiliano Mancini, Muhammad Ferjad Naeem, Yongqin Xian, Zeynep Akata

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Distilling Audio-Visual Knowledge by Compositional Contrastive Learning.

Yanbei Chen, Yongqin Xian, A. Sophia Koepke, Ying Shan, Zeynep Akata

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Learning Decision Trees Recurrently Through Communication.

Stephan Alaniz, Diego Marcos, Bernt Schiele, Zeynep Akata

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Human Attention in Fine-grained Classification.

Yao Rong, Wenjia Xu, Zeynep Akata, Enkelejda Kasneci

Proceedings of the 32nd British Machine Vision Conference 2021, 2021

Conditional De-Identification of 3D Magnetic Resonance Images.

Lennart Alexander Van der Goten, Tobias Hepp, Zeynep Akata, Kevin Smith

Proceedings of the 32nd British Machine Vision Conference 2021, 2021

Prototype-based Incremental Few-Shot Segmentation.

Fabio Cermelli, Massimiliano Mancini, Yongqin Xian, Zeynep Akata, Barbara Caputo

Proceedings of the 32nd British Machine Vision Conference 2021, 2021

2020

Manipulating Attributes of Natural Scenes via Hallucination.

Levent Karacan, Zeynep Akata, Aykut Erdem, Erkut Erdem

ACM Trans. Graph., 2020

Semantically Tied Paired Cycle Consistency for Any-Shot Sketch-Based Image Retrieval.

Anjan Dutta, Zeynep Akata

Int. J. Comput. Vis., 2020

A Few Guidelines for Incremental Few-Shot Segmentation.

Fabio Cermelli, Massimiliano Mancini, Yongqin Xian, Zeynep Akata, Barbara Caputo

CoRR, 2020

Evaluation for Weakly Supervised Object Localization: Protocol, Metrics, and Datasets.

Junsuk Choe, Seong Joon Oh, Sanghyuk Chun, Zeynep Akata, Hyunjung Shim

CoRR, 2020

e-SNLI-VE-2.0: Corrected Visual-Textual Entailment with Natural Language Explanations.

Virginie Do, Oana-Maria Camburu, Zeynep Akata, Thomas Lukasiewicz

CoRR, 2020

A Research Agenda for Hybrid Intelligence: Augmenting Human Intellect With Collaborative, Adaptive, Responsible, and Explainable Artificial Intelligence.

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

Computer, 2020

Attribute Prototype Network for Zero-Shot Learning.

Wenjia Xu, Yongqin Xian, Jiuniu Wang, Bernt Schiele, Zeynep Akata

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Driver Intention Anticipation Based on In-Cabin and Driving Scene Monitoring.

Yao Rong, Zeynep Akata, Enkelejda Kasneci

Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 2020

CLEVR-X: A Visual Reasoning Dataset for Natural Language Explanations.

Leonard Salewski, A. Sophia Koepke, Hendrik P. A. Lensch, Zeynep Akata

Proceedings of the xxAI - Beyond Explainable AI, 2020

Learning Robust Representations via Multi-View Information Bottleneck.

Marco Federici, Anjan Dutta, Patrick Forré, Nate Kushman, Zeynep Akata

Proceedings of the 8th International Conference on Learning Representations, 2020

Generating Visual and Semantic Explanations with Multi-task Network.

Wenjia Xu, Jiuniu Wang, Yang Wang, Yirong Wu, Zeynep Akata

Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020

Generalized Many-Way Few-Shot Video Classification.

Yongqin Xian, Bruno Korbar, Matthijs Douze, Bernt Schiele, Zeynep Akata, Lorenzo Torresani

Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020

Towards Recognizing Unseen Categories in Unseen Domains.

Massimiliano Mancini, Zeynep Akata, Elisa Ricci, Barbara Caputo

Proceedings of the Computer Vision - ECCV 2020, 2020

Bayesian Zero-Shot Learning.

Sarkhan Badirli, Zeynep Akata, Murat Dundar

Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020

Evaluating Weakly Supervised Object Localization Methods Right.

Junsuk Choe, Seong Joon Oh, Seungho Lee, Sanghyuk Chun, Zeynep Akata, Hyunjung Shim

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Zero-Shot Learning - A Comprehensive Evaluation of the Good, the Bad and the Ugly.

Yongqin Xian, Christoph H. Lampert, Bernt Schiele, Zeynep Akata

IEEE Trans. Pattern Anal. Mach. Intell., 2019

Understanding Misclassifications by Attributes.

Sadaf Gulshad, Zeynep Akata, Jan Hendrik Metzen, Arnold W. M. Smeulders

CoRR, 2019

Relational Generalized Few-Shot Learning.

Xiahan Shi, Leonard Salewski, Martin Schiegg, Zeynep Akata, Max Welling

CoRR, 2019

Interpreting Adversarial Examples with Attributes.

Sadaf Gulshad, Jan Hendrik Metzen, Arnold W. M. Smeulders, Zeynep Akata

CoRR, 2019

XOC: Explainable Observer-Classifier for Explainable Binary Decisions.

Stephan Alaniz, Zeynep Akata

CoRR, 2019

Combining Generative and Discriminative Models for Hybrid Inference.

Victor Garcia Satorras, Max Welling, Zeynep Akata

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Modeling Conceptual Understanding in Image Reference Games.

Rodolfo Corona, Stephan Alaniz, Zeynep Akata

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

f-VAEGAN-D2: A Feature Generating Framework for Any-Shot Learning.

Yongqin Xian, Saurabh Sharma, Bernt Schiele, Zeynep Akata

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

Semantic Projection Network for Zero- and Few-Label Semantic Segmentation.

Yongqin Xian, Subhabrata Choudhury, Yang He, Bernt Schiele, Zeynep Akata

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Generalized Zero-Shot Learning via Aligned Variational Autoencoders.

Edgar Schönfeld, Sayna Ebrahimi, Samarth Sinha, Trevor Darrell, Zeynep Akata

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

Generalized Zero- and Few-Shot Learning via Aligned Variational Autoencoders.

Edgar Schönfeld, Sayna Ebrahimi, Samarth Sinha, Trevor Darrell, Zeynep Akata

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Semantically Tied Paired Cycle Consistency for Zero-Shot Sketch-Based Image Retrieval.

Anjan Dutta, Zeynep Akata

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

Generating Counterfactual Explanations with Natural Language.

Lisa Anne Hendricks, Ronghang Hu, Trevor Darrell, Zeynep Akata

CoRR, 2018

Primal-Dual Wasserstein GAN.

Mevlana Gemici, Zeynep Akata, Max Welling

CoRR, 2018

A Data-driven Study on Preferred Situations for Running.

Shihan Wang, Joris Alexander Timmer, Simon Scheider, Karlijn Sporrel, Zeynep Akata, Ben J. A. Kröse

Proceedings of the 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers, 2018

Textual Explanations for Self-Driving Vehicles.

Jinkyu Kim, Anna Rohrbach, Trevor Darrell, John F. Canny, Zeynep Akata

Proceedings of the Computer Vision - ECCV 2018, 2018

Grounding Visual Explanations.

Lisa Anne Hendricks, Ronghang Hu, Trevor Darrell, Zeynep Akata

Proceedings of the Computer Vision - ECCV 2018, 2018

WiCV at ECCV2018: The Fifth Women in Computer Vision Workshop.

Zeynep Akata, Dena Bazazian, Yana Hasson, Angjoo Kanazawa, Hildegard Kuehne, Gül Varol

Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018

Feature Generating Networks for Zero-Shot Learning.

Yongqin Xian, Tobias Lorenz, Bernt Schiele, Zeynep Akata

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Multimodal Explanations: Justifying Decisions and Pointing to the Evidence.

Dong Huk Park, Lisa Anne Hendricks, Zeynep Akata, Anna Rohrbach, Bernt Schiele, Trevor Darrell, Marcus Rohrbach

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Explainable AI: The New 42?

Randy Goebel, Ajay Chander, Katharina Holzinger, Freddy Lécué, Zeynep Akata, Simone Stumpf, Peter Kieseberg, Andreas Holzinger

Proceedings of the Machine Learning and Knowledge Extraction, 2018

Visual Rationalizations in Deep Reinforcement Learning for Atari Games.

Laurens Weitkamp, Elise van der Pol, Zeynep Akata

Proceedings of the Artificial Intelligence - 30th Benelux Conference, 2018

2017

Attentive Explanations: Justifying Decisions and Pointing to the Evidence (Extended Abstract).

Dong Huk Park, Lisa Anne Hendricks, Zeynep Akata, Anna Rohrbach, Bernt Schiele, Trevor Darrell, Marcus Rohrbach

CoRR, 2017

Grounding Visual Explanations (Extended Abstract).

Lisa Anne Hendricks, Ronghang Hu, Trevor Darrell, Zeynep Akata

CoRR, 2017

Channel-Recurrent Variational Autoencoders.

Wenling Shang, Kihyuk Sohn, Zeynep Akata, Yuandong Tian

CoRR, 2017

Zero-Shot Learning - The Good, the Bad and the Ugly.

Yongqin Xian, Bernt Schiele, Zeynep Akata

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Exploiting Saliency for Object Segmentation from Image Level Labels.

Seong Joon Oh, Rodrigo Benenson, Anna Khoreva, Zeynep Akata, Mario Fritz, Bernt Schiele

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Gaze Embeddings for Zero-Shot Image Classification.

Nour Karessli, Zeynep Akata, Bernt Schiele, Andreas Bulling

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016

Label-Embedding for Image Classification.

Zeynep Akata, Florent Perronnin, Zaïd Harchaoui, Cordelia Schmid

IEEE Trans. Pattern Anal. Mach. Intell., 2016

Attentive Explanations: Justifying Decisions and Pointing to the Evidence.

Dong Huk Park, Lisa Anne Hendricks, Zeynep Akata, Bernt Schiele, Trevor Darrell, Marcus Rohrbach

CoRR, 2016

Learning to Generate Images of Outdoor Scenes from Attributes and Semantic Layouts.

Levent Karacan, Zeynep Akata, Aykut Erdem, Erkut Erdem

CoRR, 2016

Learning What and Where to Draw.

Scott E. Reed, Zeynep Akata, Santosh Mohan, Samuel Tenka, Bernt Schiele, Honglak Lee

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Generative Adversarial Text to Image Synthesis.

Scott E. Reed, Zeynep Akata, Xinchen Yan, Lajanugen Logeswaran, Bernt Schiele, Honglak Lee

Proceedings of the 33nd International Conference on Machine Learning, 2016

Generating Visual Explanations.

Lisa Anne Hendricks, Zeynep Akata, Marcus Rohrbach, Jeff Donahue, Bernt Schiele, Trevor Darrell

Proceedings of the Computer Vision - ECCV 2016, 2016

Latent Embeddings for Zero-Shot Classification.

Yongqin Xian, Zeynep Akata, Gaurav Sharma, Quynh Nguyen, Matthias Hein, Bernt Schiele

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Learning Deep Representations of Fine-Grained Visual Descriptions.

Scott E. Reed, Zeynep Akata, Honglak Lee, Bernt Schiele

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Multi-cue Zero-Shot Learning with Strong Supervision.

Zeynep Akata, Mateusz Malinowski, Mario Fritz, Bernt Schiele

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015

Evaluation of output embeddings for fine-grained image classification.

Zeynep Akata, Scott E. Reed, Daniel Walter, Honglak Lee, Bernt Schiele

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2014

Contributions to large-scale learning for image classification. (Contributions à l'apprentissage grande échelle pour la classification d'images).

Zeynep Akata

PhD thesis, 2014

Good Practice in Large-Scale Learning for Image Classification.

Zeynep Akata, Florent Perronnin, Zaïd Harchaoui, Cordelia Schmid

IEEE Trans. Pattern Anal. Mach. Intell., 2014

Zero-Shot Learning with Structured Embeddings.

Zeynep Akata, Honglak Lee, Bernt Schiele

CoRR, 2014

2013

Label-Embedding for Attribute-Based Classification.

Zeynep Akata, Florent Perronnin, Zaïd Harchaoui, Cordelia Schmid

Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

2012

Towards good practice in large-scale learning for image classification.

Florent Perronnin, Zeynep Akata, Zaïd Harchaoui, Cordelia Schmid

Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012