Zeynep Akata

Orcid: 0000-0002-1432-7747

Affiliations:
  • University of Tübingen, Germany


According to our database1, Zeynep Akata authored at least 151 papers between 2012 and 2024.

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Bibliography

2024
Relational Proxies: Fine-Grained Relationships as Zero-Shot Discriminators.
IEEE Trans. Pattern Anal. Mach. Intell., December, 2024

Learning Graph Embeddings for Open World Compositional Zero-Shot Learning.
IEEE Trans. Pattern Anal. Mach. Intell., March, 2024

Semi-Supervised and Unsupervised Deep Visual Learning: A Survey.
IEEE Trans. Pattern Anal. Mach. Intell., March, 2024

Building, Reusing, and Generalizing Abstract Representations from Concrete Sequences.
CoRR, 2024

Revealing and Reducing Gender Biases in Vision and Language Assistants (VLAs).
CoRR, 2024

Scalable Ranked Preference Optimization for Text-to-Image Generation.
CoRR, 2024

A Practitioner's Guide to Continual Multimodal Pretraining.
CoRR, 2024

Disentangled Representation Learning through Geometry Preservation with the Gromov-Monge Gap.
CoRR, 2024

SemioLLM: Assessing Large Language Models for Semiological Analysis in Epilepsy Research.
CoRR, 2024

Reflecting on the State of Rehearsal-free Continual Learning with Pretrained Models.
CoRR, 2024

ReNO: Enhancing One-step Text-to-Image Models through Reward-based Noise Optimization.
CoRR, 2024

Opening the Black-Box: A Systematic Review on Explainable AI in Remote Sensing.
CoRR, 2024

ETHER: Efficient Finetuning of Large-Scale Models with Hyperplane Reflections.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Fantastic Gains and Where to Find Them: On the Existence and Prospect of General Knowledge Transfer between Any Pretrained Model.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Vision-by-Language for Training-Free Compositional Image Retrieval.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Unbalancedness in Neural Monge Maps Improves Unpaired Domain Translation.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Improving Intervention Efficacy via Concept Realignment in Concept Bottleneck Models.
Proceedings of the Computer Vision - ECCV 2024, 2024

DataDream: Few-Shot Guided Dataset Generation.
Proceedings of the Computer Vision - ECCV 2024, 2024

EgoCVR: An Egocentric Benchmark for Fine-Grained Composed Video Retrieval.
Proceedings of the Computer Vision - ECCV 2024, 2024

Geometry Fidelity for Spherical Images.
Proceedings of the Computer Vision - ECCV 2024, 2024

Audio-Visual Generalized Zero-Shot Learning using Pre-Trained Large Multi-Modal Models.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
Audio Retrieval With Natural Language Queries: A Benchmark Study.
IEEE Trans. Multim., 2023

Addressing caveats of neural persistence with deep graph persistence.
Trans. Mach. Learn. Res., 2023

Evaluation for Weakly Supervised Object Localization: Protocol, Metrics, and Datasets.
IEEE Trans. Pattern Anal. Mach. Intell., 2023

How should the advent of large language models affect the practice of science?
CoRR, 2023

Zero-shot audio captioning with audio-language model guidance and audio context keywords.
CoRR, 2023

If at First You Don't Succeed, Try, Try Again: Faithful Diffusion-based Text-to-Image Generation by Selection.
CoRR, 2023

Inducing anxiety in large language models increases exploration and bias.
CoRR, 2023

Posterior Annealing: Fast Calibrated Uncertainty for Regression.
CoRR, 2023

Urban Scene Semantic Segmentation with Low-Cost Coarse Annotation.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

USIM-DAL: Uncertainty-aware Statistical Image Modeling-based Dense Active Learning for Super-resolution.
Proceedings of the Uncertainty in Artificial Intelligence, 2023

In-Context Impersonation Reveals Large Language Models' Strengths and Biases.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Meta-in-context learning in large language models.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Transitivity Recovering Decompositions: Interpretable and Robust Fine-Grained Relationships.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Disentanglement of Correlated Factors via Hausdorff Factorized Support.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

ProbVLM: Probabilistic Adapter for Frozen Vison-Language Models.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Waffling around for Performance: Visual Classification with Random Words and Broad Concepts.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

PDiscoNet: Semantically consistent part discovery for fine-grained recognition.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Image-free Classifier Injection for Zero-Shot Classification.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Iterative Superquadric Recomposition of 3D Objects from Multiple Views.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Zero-Shot Translation of Attention Patterns in VQA Models to Natural Language.
Proceedings of the Pattern Recognition - 45th DAGM German Conference, 2023

Text-to-Feature Diffusion for Audio-Visual Few-Shot Learning.
Proceedings of the Pattern Recognition - 45th DAGM German Conference, 2023

DeViL: Decoding Vision features into Language.
Proceedings of the Pattern Recognition - 45th DAGM German Conference, 2023

Exposing and Mitigating Spurious Correlations for Cross-Modal Retrieval.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Bridging the Gap Between Model Explanations in Partially Annotated Multi-Label Classification.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

The Manifold Hypothesis for Gradient-Based Explanations.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Video-adverb retrieval with compositional adverb-action embeddings.
Proceedings of the 34th British Machine Vision Conference 2023, 2023

2022
Attribute Prediction as Multiple Instance Learning.
Trans. Mach. Learn. Res., 2022

Generalized Few-Shot Video Classification With Video Retrieval and Feature Generation.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

BDA-SketRet: Bi-level domain adaptation for zero-shot SBIR.
Neurocomputing, 2022

Attribute Prototype Network for Any-Shot Learning.
Int. J. Comput. Vis., 2022

Momentum-based Weight Interpolation of Strong Zero-Shot Models for Continual Learning.
CoRR, 2022

Semantic Image Synthesis with Semantically Coupled VQ-Model.
CoRR, 2022

Audio-visual Generalised Zero-shot Learning with Cross-modal Attention and Language.
CoRR, 2022

BDA-SketRet: Bi-Level Domain Adaptation for Zero-Shot SBIR.
CoRR, 2022

Relational Proxies: Emergent Relationships as Fine-Grained Discriminators.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

BayesCap: Bayesian Identity Cap for Calibrated Uncertainty in Frozen Neural Networks.
Proceedings of the Computer Vision - ECCV 2022, 2022

Temporal and Cross-modal Attention for Audio-Visual Zero-Shot Learning.
Proceedings of the Computer Vision - ECCV 2022, 2022

A Non-isotropic Probabilistic Take on Proxy-based Deep Metric Learning.
Proceedings of the Computer Vision - ECCV 2022, 2022

Abstracting Sketches Through Simple Primitives.
Proceedings of the Computer Vision - ECCV 2022, 2022

VGSE: Visually-Grounded Semantic Embeddings for Zero-Shot Learning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Uniform Priors for Data-Efficient Learning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

Integrating Language Guidance into Vision-based Deep Metric Learning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Non-isotropy Regularization for Proxy-based Deep Metric Learning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Audiovisual Generalised Zero-shot Learning with Cross-modal Attention and Language.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Large Loss Matters in Weakly Supervised Multi-Label Classification.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

KG-SP: Knowledge Guided Simple Primitives for Open World Compositional Zero-Shot Learning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Attention Consistency on Visual Corruptions for Single-Source Domain Generalization.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

Probabilistic Compositional Embeddings for Multimodal Image Retrieval.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

Compositional Mixture Representations for Vision and Text.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

PlanT: Explainable Planning Transformers via Object-Level Representations.
Proceedings of the Conference on Robot Learning, 2022

Distilling Knowledge from Self-Supervised Teacher by Embedding Graph Alignment.
Proceedings of the 33rd British Machine Vision Conference 2022, 2022

Cross-Modal Fusion Distillation for Fine-Grained Sketch-Based Image Retrieval.
Proceedings of the 33rd British Machine Vision Conference 2022, 2022

Any-Shot GIN: Generalizing Implicit Networks for Reconstructing Novel Classes.
Proceedings of the International Conference on 3D Vision, 2022

2021
Computer Vision and Pattern Recognition 2020.
Int. J. Comput. Vis., 2021

Where and When: Space-Time Attention for Audio-Visual Explanations.
CoRR, 2021

Uncertainty-aware Generalized Adaptive CycleGAN.
CoRR, 2021

Robustness via Uncertainty-aware Cycle Consistency.
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.
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.
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.
Proceedings of the 22nd Annual Conference of the International Speech Communication Association, Interspeech 2021, Brno, Czechia, August 30, 2021

Concurrent Discrimination and Alignment for Self-Supervised Feature Learning.
Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

Keep CALM and Improve Visual Feature Attribution.
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.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

(SP)<sup>2</sup>Net for Generalized Zero-Label Semantic Segmentation.
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.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

Learning Graph Embeddings for Compositional Zero-Shot Learning.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Open World Compositional Zero-Shot Learning.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Distilling Audio-Visual Knowledge by Compositional Contrastive Learning.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Learning Decision Trees Recurrently Through Communication.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Human Attention in Fine-grained Classification.
Proceedings of the 32nd British Machine Vision Conference 2021, 2021

Conditional De-Identification of 3D Magnetic Resonance Images.
Proceedings of the 32nd British Machine Vision Conference 2021, 2021

Prototype-based Incremental Few-Shot Segmentation.
Proceedings of the 32nd British Machine Vision Conference 2021, 2021

2020
Manipulating Attributes of Natural Scenes via Hallucination.
ACM Trans. Graph., 2020

Semantically Tied Paired Cycle Consistency for Any-Shot Sketch-Based Image Retrieval.
Int. J. Comput. Vis., 2020

A Few Guidelines for Incremental Few-Shot Segmentation.
CoRR, 2020

Evaluation for Weakly Supervised Object Localization: Protocol, Metrics, and Datasets.
CoRR, 2020

e-SNLI-VE-2.0: Corrected Visual-Textual Entailment with Natural Language Explanations.
CoRR, 2020

A Research Agenda for Hybrid Intelligence: Augmenting Human Intellect With Collaborative, Adaptive, Responsible, and Explainable Artificial Intelligence.
Computer, 2020

Attribute Prototype Network for Zero-Shot Learning.
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.
Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 2020

CLEVR-X: A Visual Reasoning Dataset for Natural Language Explanations.
Proceedings of the xxAI - Beyond Explainable AI, 2020

Learning Robust Representations via Multi-View Information Bottleneck.
Proceedings of the 8th International Conference on Learning Representations, 2020

Generating Visual and Semantic Explanations with Multi-task Network.
Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020

Generalized Many-Way Few-Shot Video Classification.
Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020

Towards Recognizing Unseen Categories in Unseen Domains.
Proceedings of the Computer Vision - ECCV 2020, 2020

Bayesian Zero-Shot Learning.
Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020

Evaluating Weakly Supervised Object Localization Methods Right.
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.
IEEE Trans. Pattern Anal. Mach. Intell., 2019

Understanding Misclassifications by Attributes.
CoRR, 2019

Relational Generalized Few-Shot Learning.
CoRR, 2019

Interpreting Adversarial Examples with Attributes.
CoRR, 2019

XOC: Explainable Observer-Classifier for Explainable Binary Decisions.
CoRR, 2019

Combining Generative and Discriminative Models for Hybrid Inference.
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.
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.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Semantic Projection Network for Zero- and Few-Label Semantic Segmentation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Generalized Zero-Shot Learning via Aligned Variational Autoencoders.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

Generalized Zero- and Few-Shot Learning via Aligned Variational Autoencoders.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Semantically Tied Paired Cycle Consistency for Zero-Shot Sketch-Based Image Retrieval.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018
Generating Counterfactual Explanations with Natural Language.
CoRR, 2018

Primal-Dual Wasserstein GAN.
CoRR, 2018

A Data-driven Study on Preferred Situations for Running.
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.
Proceedings of the Computer Vision - ECCV 2018, 2018

Grounding Visual Explanations.
Proceedings of the Computer Vision - ECCV 2018, 2018

WiCV at ECCV2018: The Fifth Women in Computer Vision Workshop.
Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018

Feature Generating Networks for Zero-Shot Learning.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Multimodal Explanations: Justifying Decisions and Pointing to the Evidence.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Explainable AI: The New 42?
Proceedings of the Machine Learning and Knowledge Extraction, 2018

Visual Rationalizations in Deep Reinforcement Learning for Atari Games.
Proceedings of the Artificial Intelligence - 30th Benelux Conference, 2018

2017
Attentive Explanations: Justifying Decisions and Pointing to the Evidence (Extended Abstract).
CoRR, 2017

Grounding Visual Explanations (Extended Abstract).
CoRR, 2017

Channel-Recurrent Variational Autoencoders.
CoRR, 2017

Zero-Shot Learning - The Good, the Bad and the Ugly.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Exploiting Saliency for Object Segmentation from Image Level Labels.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Gaze Embeddings for Zero-Shot Image Classification.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016
Label-Embedding for Image Classification.
IEEE Trans. Pattern Anal. Mach. Intell., 2016

Attentive Explanations: Justifying Decisions and Pointing to the Evidence.
CoRR, 2016

Learning to Generate Images of Outdoor Scenes from Attributes and Semantic Layouts.
CoRR, 2016

Learning What and Where to Draw.
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.
Proceedings of the 33nd International Conference on Machine Learning, 2016

Generating Visual Explanations.
Proceedings of the Computer Vision - ECCV 2016, 2016

Latent Embeddings for Zero-Shot Classification.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Learning Deep Representations of Fine-Grained Visual Descriptions.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Multi-cue Zero-Shot Learning with Strong Supervision.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015
Evaluation of output embeddings for fine-grained image classification.
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).
PhD thesis, 2014

Good Practice in Large-Scale Learning for Image Classification.
IEEE Trans. Pattern Anal. Mach. Intell., 2014

Zero-Shot Learning with Structured Embeddings.
CoRR, 2014

2013
Label-Embedding for Attribute-Based Classification.
Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

2012
Towards good practice in large-scale learning for image classification.
Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012


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