Mengyuan Liu
27 papers · 2016–2026 · 7 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (9) π Interdisciplinary Bridge π§ Keyword Pioneer π Conference Polyglot (7) π Cross-Pollinator (8)
π
Cross-Pollinator
(8)
π
Renaissance Researcher
(5)
πΊοΈ
Taxonomy Completionist
(44)
π¬
Deep Specialist
(11)
π
Keyword Champion
(3)
ποΈ
Keyword Collector
(117)
π
Conference Pioneer
β‘
Prolific Year
(6)
π
Century Club
(25)
π₯
Unstoppable
(5)
Conferences
AAAI (11)
CVPR (5)
NIPS (4)
ICCV (3)
IJCAI (2)
ECCV (1)
ICML (1)
Top co-authors
Keywords
human pose estimation
(5)
action recognition
(5)
point cloud
(4)
3d human pose estimation
(4)
skeleton sequence
(3)
pose estimation
(3)
vision transformer
(3)
pose lifting
(3)
3d vision
(3)
temporal modeling
(3)
representation learning
(3)
human action recognition
(2)
motion prediction
(2)
transformer architecture
(2)
3d pose estimation
(2)
skeleton-based action recognition
(2)
contrastive learning
(2)
feature extraction
(2)
in-context learning
(2)
data augmentation
(2)
Papers
Masked Clustering Prediction for Unsupervised Point Cloud Pre-training
AAAI 2026
MP1: MeanFlow Tames Policy Learning in 1-step for Robotic Manipulation
AAAI 2026
SVTformer: Spatial-View-Temporal Transformer for Multi-View 3D Human Pose Estimation
AAAI 2025
FlexPose: Pose Distribution Adaptation with Limited Guidance
AAAI 2025
TCPFormer: Learning Temporal Correlation with Implicit Pose Proxy for 3D Human Pose Estimation
AAAI 2025
Learning Occlusion-Robust Vision Transformers for Real-Time UAV Tracking
CVPR 2025
Recognizing Actions from Robotic View for Natural Human-Robot Interaction
ICCV 2025
UST-SSM: Unified Spatio-Temporal State Space Models for Point Cloud Video Modeling
ICCV 2025
Asymmetric Visual Semantic Embedding Framework for Efficient Vision-Language Alignment
AAAI 2025
Skeleton-in-Context: Unified Skeleton Sequence Modeling with In-Context Learning
CVPR 2024
Sharing Key Semantics in Transformer Makes Efficient Image Restoration
NIPS 2024
Expressive Forecasting of 3D Whole-Body Human Motions
AAAI 2024
GCNext: Towards the Unity of Graph Convolutions for Human Motion Prediction
AAAI 2024
Learning Adaptive and View-Invariant Vision Transformer for Real-Time UAV Tracking
ICML 2024
CHASE: Learning Convex Hull Adaptive Shift for Skeleton-based Multi-Entity Action Recognition
NIPS 2024
Hourglass Tokenizer for Efficient Transformer-Based 3D Human Pose Estimation
CVPR 2024
A Single 2D Pose with Context is Worth Hundreds for 3D Human Pose Estimation
NIPS 2023
Explore In-Context Learning for 3D Point Cloud Understanding
NIPS 2023
Novel Motion Patterns Matter for Practical Skeleton-Based Action Recognition
AAAI 2023
PoseFormerV2: Exploring Frequency Domain for Efficient and Robust 3D Human Pose Estimation
CVPR 2023
RenderIH: A Large-Scale Synthetic Dataset for 3D Interacting Hand Pose Estimation
ICCV 2023
Part Aware Contrastive Learning for Self-Supervised Action Recognition
IJCAI 2023
Contrastive Learning from Extremely Augmented Skeleton Sequences for Self-Supervised Action Recognition
AAAI 2022
Joint Dynamic Pose Image and Space Time Reversal for Human Action Recognition from Videos
AAAI 2019
Recognizing Human Actions as the Evolution of Pose Estimation Maps
CVPR 2018
Deformable Pose Traversal Convolution for 3D Action and Gesture Recognition
ECCV 2018
3D Action Recognition Using Multi-Temporal Depth Motion Maps and Fisher Vector
IJCAI 2016