Weiqing Li
11 papers · 2022–2026 · 5 venues · across top CS/AI venues
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Achievements
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π£ Hot Topic Early Bird π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (26) π Keyword Champion (2)
π€
Dynamic Duo
(10)
ποΈ
Keyword Collector
(51)
π
Century Club Β· Bronze
β‘
Prolific Year Β· Productive
Top co-authors
Research topics
Artificial Intelligence
(8)
Computer Vision
(7)
Machine Learning
(6)
Core AI
(6)
Deep Learning
(5)
Analysis
(5)
Learning Types Β· Machine Learning
(4)
Learning Paradigms
(3)
Learning Types Β· Deep Learning
(3)
Models
(2)
Robotics
(1)
Application Areas
(1)
Architectures
(1)
Capabilities
(1)
Generation
(1)
Keywords
human motion prediction
(3)
pose forecasting
(2)
motion prediction
(2)
motion forecasting
(2)
test-time adaptation
(2)
self-supervised learning
(2)
diffusion model
(2)
domain adaptation
(1)
domain generalization
(1)
catastrophic forgetting
(1)
motion estimation
(1)
curriculum learning
(1)
online learning
(1)
human pose estimation
(1)
human motion
(1)
motion synthesis
(1)
document retrieval
(1)
human motion synthesis
(1)
neural representation
(1)
cross-modal retrieval
(1)
Papers
Evo-Retriever: LLM-Guided Curriculum Evolution with Viewpoint-Pathway Collaboration for Multimodal Document Retrieval
CVPR 2026
Enhanced Fine-Grained Motion Diffusion for Text-Driven Human Motion Synthesis
AAAI 2024
Fast Adaptation for Human Pose Estimation via Meta-Optimization
CVPR 2024
Human Motion Forecasting in Dynamic Domain Shifts: A Homeostatic Continual Test-time Adaptation Framework
ECCV 2024
MoML: Online Meta Adaptation for 3D Human Motion Prediction
CVPR 2024
NeRM: Learning Neural Representations for High-Framerate Human Motion Synthesis
ICLR 2024
DeFeeNet: Consecutive 3D Human Motion Prediction With Deviation Feedback
CVPR 2023
Human Joint Kinematics Diffusion-Refinement for Stochastic Motion Prediction
AAAI 2023
Meta-Auxiliary Learning for Adaptive Human Pose Prediction
AAAI 2023
Test-time Personalizable Forecasting of 3D Human Poses
ICCV 2023
Overlooked Poses Actually Make Sense: Distilling Privileged Knowledge for Human Motion Prediction
ECCV 2022