Yu-Ming Tang
10 papers · 2022–2026 · 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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🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (29) 🌍 Conference Polyglot · Bronze 🗃️ Keyword Collector (50) ⚡ Prolific Year · Productive
🔥
Unstoppable · Bronze
💎
Century Club · Bronze
Top co-authors
Research topics
Machine Learning
(7)
Artificial Intelligence
(6)
Deep Learning
(6)
Core AI · Artificial Intelligence
(5)
Learning Types · Machine Learning
(5)
Computer Vision
(4)
Learning Types · Deep Learning
(3)
Analysis
(2)
Core Methods
(2)
Generation
(2)
Robotics
(1)
Application Areas
(1)
Architectures
(1)
Capabilities
(1)
Core AI · Computer Vision
(1)
Keywords
catastrophic forgetting
(4)
continual learning
(3)
representation learning
(2)
incremental learning
(2)
knowledge distillation
(1)
semi-supervised learning
(1)
contrastive learning
(1)
prompt learning
(1)
motion synthesis
(1)
video generation
(1)
pose estimation
(1)
feature embedding
(1)
person re-identification
(1)
privacy preservation
(1)
human-object interaction
(1)
robotic manipulation
(1)
text-to-image generation
(1)
machine unlearning
(1)
reinforcement learning
(1)
3d reconstruction
(1)
Papers
Learning to Generate via Understanding: Understanding-Driven Intrinsic Rewarding for Unified Multimodal Models
CVPR 2026
TechCoach: Towards Technical-Point-Aware Descriptive Action Coaching
AAAI 2026
ChainHOI: Joint-based Kinematic Chain Modeling for Human-Object Interaction Generation
CVPR 2025
iManip: Skill-Incremental Learning for Robotic Manipulation
ICCV 2025
MaintaAvatar: A Maintainable Avatar Based on Neural Radiance Fields by Continual Learning
AAAI 2025
Modeling Multiple Normal Action Representations for Error Detection in Procedural Tasks
CVPR 2025
Person De-reidentification: A Variation-guided Identity Shift Modeling
CVPR 2025
Rethinking Few-shot Class-incremental Learning: Learning from Yourself
ECCV 2024
When Prompt-based Incremental Learning Does Not Meet Strong Pretraining
ICCV 2023
Learning To Imagine: Diversify Memory for Incremental Learning Using Unlabeled Data
CVPR 2022