Dat Huynh
8 papers · 2020–2024 · 4 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (25) 🐣 Hot Topic Early Bird 🧭 Keyword Pioneer
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Prolific Year · Productive
Venues
Top co-authors
Research topics
Machine Learning
(7)
Learning Types · Machine Learning
(7)
Deep Learning
(5)
Learning Types · Deep Learning
(4)
Artificial Intelligence
(3)
Computer Vision
(3)
Core Methods
(3)
Analysis
(2)
Core AI
(2)
Architectures
(1)
Generation
(1)
Learning Paradigms
(1)
Models
(1)
Optimization & Theory
(1)
Processing
(1)
Keywords
zero-shot learning
(3)
semantic embedding
(2)
multi-label classification
(2)
semi-supervised learning
(2)
attention mechanism
(2)
semantic alignment
(1)
instance segmentation
(1)
multi-label learning
(1)
human-object interaction
(1)
cross-modal learning
(1)
transfer learning
(1)
fine-grained classification
(1)
convolutional neural network
(1)
visual recognition
(1)
generative model
(1)
fine-grained recognition
(1)
weakly supervised learning
(1)
feature learning
(1)
loss function
(1)
semantic segmentation
(1)
Papers
Visual Delta Generator with Large Multi-modal Models for Semi-supervised Composed Image Retrieval
CVPR 2024
Open-Vocabulary Instance Segmentation via Robust Cross-Modal Pseudo-Labeling
CVPR 2022
Interaction Compass: Multi-Label Zero-Shot Learning of Human-Object Interactions via Spatial Relations
ICCV 2021
A Shared Multi-Attention Framework for Multi-Label Zero-Shot Learning
CVPR 2020
Compositional Zero-Shot Learning via Fine-Grained Dense Feature Composition
NeurIPS 2020
Fine-Grained Generalized Zero-Shot Learning via Dense Attribute-Based Attention
CVPR 2020
Interactive Multi-Label CNN Learning With Partial Labels
CVPR 2020
Self-Supervised Multi-Task Procedure Learning from Instructional Videos
ECCV 2020