Zeynep Akata
72 publications
9 venues
H Index 23
Affiliation
University of T bingen, GermanyLinks
| Name | Venue | Year | citations |
|---|---|---|---|
ETHER: Efficient Finetuning of Large-Scale Models with Hyperplane Reflections.
|
ICML | 2024 | 0 |
| Geometry Fidelity for Spherical Images.
|
ECCV | 2024 | 0 |
| DataDream: Few-Shot Guided Dataset Generation.
|
ECCV | 2024 | 0 |
| Improving Intervention Efficacy via Concept Realignment in Concept Bottleneck Models.
|
ECCV | 2024 | 0 |
| Unbalancedness in Neural Monge Maps Improves Unpaired Domain Translation.
|
ICLR | 2024 | 0 |
| Vision-by-Language for Training-Free Compositional Image Retrieval.
|
ICLR | 2024 | 0 |
| Fantastic Gains and Where to Find Them: On the Existence and Prospect of General Knowledge Transfer between Any Pretrained Model.
|
ICLR | 2024 | 0 |
| Learning Graph Embeddings for Open World Compositional Zero-Shot Learning.
|
TPAMI | 2024 | 0 |
| Semi-Supervised and Unsupervised Deep Visual Learning: A Survey.
|
TPAMI | 2024 | 0 |
| Relational Proxies: Fine-Grained Relationships as Zero-Shot Discriminators.
|
TPAMI | 2024 | 0 |
| USIM-DAL: Uncertainty-aware Statistical Image Modeling-based Dense Active Learning for Super-resolution.
|
UAI | 2023 | 0 |
| Bridging the Gap Between Model Explanations in Partially Annotated Multi-Label Classification.
|
CVPR | 2023 | 0 |
| Transitivity Recovering Decompositions: Interpretable and Robust Fine-Grained Relationships.
|
NIPS/NeurIPS | 2023 | 0 |
| In-Context Impersonation Reveals Large Language Models' Strengths and Biases.
|
NIPS/NeurIPS | 2023 | 0 |
| Meta-in-context learning in large language models.
|
NIPS/NeurIPS | 2023 | 0 |
| Disentanglement of Correlated Factors via Hausdorff Factorized Support.
|
ICLR | 2023 | 0 |
| PDiscoNet: Semantically consistent part discovery for fine-grained recognition.
|
ICCV | 2023 | 0 |
| Waffling around for Performance: Visual Classification with Random Words and Broad Concepts.
|
ICCV | 2023 | 0 |
| Iterative Superquadric Recomposition of 3D Objects from Multiple Views.
|
ICCV | 2023 | 0 |
| Image-free Classifier Injection for Zero-Shot Classification.
|
ICCV | 2023 | 0 |
| ProbVLM: Probabilistic Adapter for Frozen Vison-Language Models.
|
ICCV | 2023 | 0 |
| Evaluation for Weakly Supervised Object Localization: Protocol, Metrics, and Datasets.
|
TPAMI | 2023 | 0 |
| Non-isotropy Regularization for Proxy-based Deep Metric Learning.
|
CVPR | 2022 | 5 |
| Temporal and Cross-modal Attention for Audio-Visual Zero-Shot Learning.
|
ECCV | 2022 | 2 |
| A Non-isotropic Probabilistic Take on Proxy-based Deep Metric Learning.
|
ECCV | 2022 | 0 |
| KG-SP: Knowledge Guided Simple Primitives for Open World Compositional Zero-Shot Learning.
|
CVPR | 2022 | 4 |
| Integrating Language Guidance into Vision-based Deep Metric Learning.
|
CVPR | 2022 | 4 |
| Audiovisual Generalised Zero-shot Learning with Cross-modal Attention and Language.
|
CVPR | 2022 | 4 |
| BayesCap: Bayesian Identity Cap for Calibrated Uncertainty in Frozen Neural Networks.
|
ECCV | 2022 | 1 |
| VGSE: Visually-Grounded Semantic Embeddings for Zero-Shot Learning.
|
CVPR | 2022 | 6 |
| Abstracting Sketches Through Simple Primitives.
|
ECCV | 2022 | 1 |
| Large Loss Matters in Weakly Supervised Multi-Label Classification.
|
CVPR | 2022 | 5 |
| PlanT: Explainable Planning Transformers via Object-Level Representations.
|
CoRL | 2022 | 0 |
| Relational Proxies: Emergent Relationships as Fine-Grained Discriminators.
|
NIPS/NeurIPS | 2022 | 0 |
| Generalized Few-Shot Video Classification With Video Retrieval and Feature Generation.
|
TPAMI | 2022 | 0 |
| Open World Compositional Zero-Shot Learning.
|
CVPR | 2021 | 40 |
| Robustness via Uncertainty-aware Cycle Consistency.
|
NIPS/NeurIPS | 2021 | 4 |
| Fine-Grained Zero-Shot Learning with DNA as Side Information.
|
NIPS/NeurIPS | 2021 | 7 |
| e-ViL: A Dataset and Benchmark for Natural Language Explanations in Vision-Language Tasks.
|
ICCV | 2021 | 36 |
| Learning Graph Embeddings for Compositional Zero-Shot Learning.
|
CVPR | 2021 | 46 |
| Learning Decision Trees Recurrently Through Communication.
|
CVPR | 2021 | 7 |
| Distilling Audio-Visual Knowledge by Compositional Contrastive Learning.
|
CVPR | 2021 | 33 |
| Keep CALM and Improve Visual Feature Attribution.
|
ICCV | 2021 | 9 |
| Attribute Prototype Network for Zero-Shot Learning.
|
NIPS/NeurIPS | 2020 | 97 |
| Learning Robust Representations via Multi-View Information Bottleneck.
|
ICLR | 2020 | 101 |
| Towards Recognizing Unseen Categories in Unseen Domains.
|
ECCV | 2020 | 47 |
| Evaluating Weakly Supervised Object Localization Methods Right.
|
CVPR | 2020 | 123 |
| Combining Generative and Discriminative Models for Hybrid Inference.
|
NIPS/NeurIPS | 2019 | 37 |
| Semantic Projection Network for Zero- and Few-Label Semantic Segmentation.
|
CVPR | 2019 | 93 |
| F-VAEGAN-D2: A Feature Generating Framework for Any-Shot Learning.
|
CVPR | 2019 | 297 |
| Modeling Conceptual Understanding in Image Reference Games.
|
NIPS/NeurIPS | 2019 | 20 |
| Generalized Zero- and Few-Shot Learning via Aligned Variational Autoencoders.
|
CVPR | 2019 | 0 |
| Semantically Tied Paired Cycle Consistency for Zero-Shot Sketch-Based Image Retrieval.
|
CVPR | 2019 | 0 |
| Zero-Shot Learning - A Comprehensive Evaluation of the Good, the Bad and the Ugly.
|
TPAMI | 2019 | 0 |
| Multimodal Explanations: Justifying Decisions and Pointing to the Evidence.
|
CVPR | 2018 | 287 |
| Grounding Visual Explanations.
|
ECCV | 2018 | 166 |
| Textual Explanations for Self-Driving Vehicles.
|
ECCV | 2018 | 155 |
| Feature Generating Networks for Zero-Shot Learning.
|
CVPR | 2018 | 0 |
| Exploiting Saliency for Object Segmentation from Image Level Labels.
|
CVPR | 2017 | 166 |
| Zero-Shot Learning - The Good, the Bad and the Ugly.
|
CVPR | 2017 | 0 |
| Gaze Embeddings for Zero-Shot Image Classification.
|
CVPR | 2017 | 0 |
| Multi-cue Zero-Shot Learning with Strong Supervision.
|
CVPR | 2016 | 127 |
| Learning Deep Representations of Fine-Grained Visual Descriptions.
|
CVPR | 2016 | 680 |
| Generating Visual Explanations.
|
ECCV | 2016 | 509 |
| Latent Embeddings for Zero-Shot Classification.
|
CVPR | 2016 | 595 |
| Learning What and Where to Draw.
|
NIPS/NeurIPS | 2016 | 507 |
| Generative Adversarial Text to Image Synthesis.
|
ICML | 2016 | 2410 |
| Label-Embedding for Image Classification.
|
TPAMI | 2016 | 0 |
| Evaluation of output embeddings for fine-grained image classification.
|
CVPR | 2015 | 0 |
| Good Practice in Large-Scale Learning for Image Classification.
|
TPAMI | 2014 | 0 |
| Label-Embedding for Attribute-Based Classification.
|
CVPR | 2013 | 572 |
| Towards good practice in large-scale learning for image classification.
|
CVPR | 2012 | 197 |