Akata, Z.[Zeynep]
* 2012: Towards good practice in large-scale learning for image classification
* 2013: Label-Embedding for Attribute-Based Classification
* 2014: Good Practice in Large-Scale Learning for Image Classification
* 2015: Evaluation of output embeddings for fine-grained image classification
* 2016: Generating Visual Explanations
* 2016: Label-Embedding for Image Classification
* 2016: Latent Embeddings for Zero-Shot Classification
* 2016: Learning Deep Representations of Fine-Grained Visual Descriptions
* 2016: Multi-cue Zero-Shot Learning with Strong Supervision
* 2017: Exploiting Saliency for Object Segmentation from Image Level Labels
* 2017: Gaze Embeddings for Zero-Shot Image Classification
* 2017: Zero-Shot Learning: The Good, the Bad and the Ugly
* 2018: Feature Generating Networks for Zero-Shot Learning
* 2018: Grounding Visual Explanations
* 2018: Multimodal Explanations: Justifying Decisions and Pointing to the Evidence
* 2018: Textual Explanations for Self-Driving Vehicles
* 2018: WiCV at ECCV2018: The Fifth Women in Computer Vision Workshop
* 2019: F-VAEGAN-D2: A Feature Generating Framework for Any-Shot Learning
* 2019: Generalized Zero- and Few-Shot Learning via Aligned Variational Autoencoders
* 2019: Semantic Projection Network for Zero- and Few-Label Semantic Segmentation
* 2019: Semantically Tied Paired Cycle Consistency for Zero-Shot Sketch-Based Image Retrieval
* 2019: Zero-Shot Learning: A Comprehensive Evaluation of the Good, the Bad and the Ugly
* 2020: Evaluating Weakly Supervised Object Localization Methods Right
* 2020: Semantically Tied Paired Cycle Consistency for Any-Shot Sketch-Based Image Retrieval
* 2020: Towards Recognizing Unseen Categories in Unseen Domains
* 2021: Closer Look at Self-training for Zero-Label Semantic Segmentation, A
* 2021: Computer Vision and Pattern Recognition 2020
* 2021: Concurrent Discrimination and Alignment for Self-Supervised Feature Learning
* 2021: Distilling Audio-Visual Knowledge by Compositional Contrastive Learning
* 2021: e-ViL: A Dataset and Benchmark for Natural Language Explanations in Vision-Language Tasks
* 2021: Keep CALM and Improve Visual Feature Attribution
* 2021: Learning Decision Trees Recurrently Through Communication
* 2021: Learning Graph Embeddings for Compositional Zero-shot Learning
* 2021: Open World Compositional Zero-Shot Learning
* 2022: Abstracting Sketches Through Simple Primitives
* 2022: Attention Consistency on Visual Corruptions for Single-Source Domain Generalization
* 2022: Attribute Prototype Network for Any-Shot Learning
* 2022: Audiovisual Generalised Zero-shot Learning with Cross-modal Attention and Language
* 2022: BayesCap: Bayesian Identity Cap for Calibrated Uncertainty in Frozen Neural Networks
* 2022: Compositional Mixture Representations for Vision and Text
* 2022: Generalized Few-Shot Video Classification With Video Retrieval and Feature Generation
* 2022: Integrating Language Guidance into Vision-based Deep Metric Learning
* 2022: KG-SP: Knowledge Guided Simple Primitives for Open World Compositional Zero-Shot Learning
* 2022: Large Loss Matters in Weakly Supervised Multi-Label Classification
* 2022: Non-isotropic Probabilistic Take on Proxy-based Deep Metric Learning, A
* 2022: Non-isotropy Regularization for Proxy-based Deep Metric Learning
* 2022: Probabilistic Compositional Embeddings for Multimodal Image Retrieval
* 2022: Temporal and Cross-modal Attention for Audio-Visual Zero-Shot Learning
* 2022: Uniform Priors for Data-Efficient Learning
* 2022: VGSE: Visually-Grounded Semantic Embeddings for Zero-Shot Learning
* 2023: Audio Retrieval With Natural Language Queries: A Benchmark Study
* 2023: Bridging the Gap Between Model Explanations in Partially Annotated Multi-Label Classification
* 2023: Evaluation for Weakly Supervised Object Localization: Protocol, Metrics, and Datasets
* 2023: Exposing and Mitigating Spurious Correlations for Cross-Modal Retrieval
* 2023: Image-free Classifier Injection for Zero-Shot Classification
* 2023: Iterative Superquadric Recomposition of 3D Objects from Multiple Views
* 2023: Manifold Hypothesis for Gradient-Based Explanations, The
* 2023: PDiscoNet: Semantically consistent part discovery for fine-grained recognition
* 2023: ProbVLM: Probabilistic Adapter for Frozen Vison-Language Models
* 2023: Urban Scene Semantic Segmentation with Low-Cost Coarse Annotation
* 2023: Waffling around for Performance: Visual Classification with Random Words and Broad Concepts
* 2024: Learning Graph Embeddings for Open World Compositional Zero-Shot Learning
* 2024: Semi-Supervised and Unsupervised Deep Visual Learning: A Survey
Includes: Akata, Z.[Zeynep] Akata, Z.
63 for Akata, Z.
Akatsuka, H.[Hidehiko]
* 1986: Position analyzer for vehicle drivers
Akatsuka, M.[Masayuki]
* 1982: Optical Character Reading System
Akatsuka, T.
* 1998: Detecting Head Pose from Stereo Image Sequence for Active Face Recognition
* 2001: Reconstruction Method for Compensation of Surface Effects in Transillumination Laser CT
* 2005: Cerebral Perfusion Imaging of Live Mice by Fluorescent X-Ray CT