Yongkang Wong
19 papers · 2015–2026 · 9 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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πΊοΈ Taxonomy Completionist (45) π Conference Polyglot Β· Silver π Academic Marathon Β· Half π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
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Grand Slam
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Dynamic Duo
(10)
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(6)
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Unstoppable Β· Bronze
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Prolific Year Β· Productive
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Century Club Β· Bronze
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Research topics
Machine Learning
(11)
Computer Vision
(10)
Deep Learning
(9)
Analysis
(7)
Artificial Intelligence
(6)
Core AI
(6)
Core Methods
(5)
Learning Types Β· Machine Learning
(5)
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Learning Types Β· Deep Learning
(3)
Models
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Processing
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Natural Language Processing
(2)
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(2)
Keywords
diffusion model
(2)
large language model
(2)
unsupervised learning
(2)
semi-supervised learning
(2)
multimodal learning
(2)
adversarial learning
(1)
zero-shot learning
(1)
differential privacy
(1)
action recognition
(1)
feature learning
(1)
online learning
(1)
domain generalization
(1)
transfer learning
(1)
domain adaptation
(1)
image classification
(1)
noisy label learning
(1)
motion synthesis
(1)
visual saliency
(1)
text alignment
(1)
vision transformer
(1)
Papers
MimiCAT: Mimic with Correspondence-Aware Cascade-Transformer for Category-Free 3D Pose Transfer
CVPR 2026
Object-Centric Framework for Video Moment Retrieval
AAAI 2026
Finetuning Text-to-Image Diffusion Models for Fairness
ICLR 2024
Improving Context Understanding in Multimodal Large Language Models via Multimodal Composition Learning
ICML 2024
MCM: Multi-condition Motion Synthesis Framework
IJCAI 2024
Privacy-Enhancing Person Re-Identification Framework - A Dual-Stage Approach
WACV 2024
TOPA: Extending Large Language Models for Video Understanding via Text-Only Pre-Alignment
NeurIPS 2024
Chairs Can Be Stood On: Overcoming Object Bias in Human-Object Interaction Detection
ECCV 2022
Don't Pour Cereal into Coffee: Differentiable Temporal Logic for Temporal Action Segmentation
NeurIPS 2022
Learning Causal Representation for Training Cross-Domain Pose Estimator via Generative Interventions
ICCV 2021
Learning to Predict Trustworthiness with Steep Slope Loss
NeurIPS 2021
Unsupervised Motion Representation Learning with Capsule Autoencoders
NeurIPS 2021
n-Reference Transfer Learning for Saliency Prediction
ECCV 2020
Learning to Detect Human-Object Interactions With Knowledge
CVPR 2019
Learning to Learn From Noisy Labeled Data
CVPR 2019
Unsupervised Learning of View-invariant Action Representations
NeurIPS 2018
Dual-Glance Model for Deciphering Social Relationships
ICCV 2017
Semi-Supervised Learning for Surface EMG-based Gesture Recognition
IJCAI 2017
Label Consistent Quadratic Surrogate Model for Visual Saliency Prediction
CVPR 2015