Zeynep Akata

According to our database1, Zeynep Akata authored at least 95 papers between 2012 and 2022.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

Online presence:

On csauthors.net:

Bibliography

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

Abstracting Sketches through Simple Primitives.
CoRR, 2022

Temporal and cross-modal attention for audio-visual zero-shot learning.
CoRR, 2022

BayesCap: Bayesian Identity Cap for Calibrated Uncertainty in Frozen Neural Networks.
CoRR, 2022

A Non-isotropic Probabilistic Take on Proxy-based Deep Metric Learning.
CoRR, 2022

The Manifold Hypothesis for Gradient-Based Explanations.
CoRR, 2022

Compositional Mixture Representations for Vision and Text.
CoRR, 2022

Large Loss Matters in Weakly Supervised Multi-Label Classification.
CoRR, 2022

KG-SP: Knowledge Guided Simple Primitives for Open World Compositional Zero-Shot Learning.
CoRR, 2022

Attention Consistency on Visual Corruptions for Single-Source Domain Generalization.
CoRR, 2022

Probabilistic Compositional Embeddings for Multimodal Image Retrieval.
CoRR, 2022

VGSE: Visually-Grounded Semantic Embeddings for Zero-Shot Learning.
CoRR, 2022

Non-isotropy Regularization for Proxy-based Deep Metric Learning.
CoRR, 2022

Integrating Language Guidance into Vision-based Deep Metric Learning.
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

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

Audio Retrieval with Natural Language Queries: A Benchmark Study.
CoRR, 2021

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

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