Zhenguang Liu
30 papers · 2019–2026 · 7 conferences · across top CS/AI conferences
Achievements
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Interdisciplinary Bridge
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Academic Marathon
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(3)
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(27)
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Keyword Collector
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Conferences
AAAI (15)
CVPR (6)
IJCAI (4)
ICCV (2)
ACL (1)
ECCV (1)
NIPS (1)
Top co-authors
Research topics
Keywords
human pose estimation
(9)
video understanding
(5)
diffusion model
(3)
vulnerability detection
(3)
graph neural network
(3)
human motion prediction
(3)
mutual information
(3)
knowledge distillation
(3)
smart contract
(3)
keypoint detection
(2)
pose sequence
(2)
motion prediction
(2)
temporal modeling
(2)
pose estimation
(2)
action recognition
(2)
deepfake detection
(2)
self-supervised learning
(2)
deep learning
(2)
video processing
(2)
multi-teacher learning
(2)
Papers
DiffusionPose: Markov-Optimized Diffusion Model for Human Pose Estimation
AAAI 2026
Attentive Keypoint Identification: Progressive Spatiotemporal Refinement for Video-based Human Pose Estimation
AAAI 2026
Dual Coding Theory in Action: Language-Assisted Human Pose Estimation in Videos
AAAI 2026
Harnessing Frequency Spectrum Insights for Image Copyright Protection Against Diffusion Models
CVPR 2025
FSFM: A Generalizable Face Security Foundation Model via Self-Supervised Facial Representation Learning
CVPR 2025
Optimizing Human Pose Estimation Through Focused Human and Joint Regions
AAAI 2025
HVIS: A Human-like Vision and Inference System for Human Motion Prediction
AAAI 2025
PhyCamo: A Robust Physical Camouflage via Contrastive Learning for Multi-View Physical Adversarial Attack
AAAI 2025
MTVHunter: Smart Contracts Vulnerability Detection Based on Multi-Teacher Knowledge Translation
AAAI 2025
Causal-Inspired Multitask Learning for Video-Based Human Pose Estimation
AAAI 2025
SpatioTemporal Learning for Human Pose Estimation in Sparsely-Labeled Videos
AAAI 2025
Exposing the Deception: Uncovering More Forgery Clues for Deepfake Detection
AAAI 2024
Let All Be Whitened: Multi-Teacher Distillation for Efficient Visual Retrieval
AAAI 2024
Red Teaming Visual Language Models
ACL 2024
Rethinking Human Motion Prediction with Symplectic Integral
CVPR 2024
LargeST: A Benchmark Dataset for Large-Scale Traffic Forecasting
NIPS 2023
CrossMatch: Source-Free Domain Adaptive Semantic Segmentation via Cross-Modal Consistency Training
ICCV 2023
Action Recognition with Multi-stream Motion Modeling and Mutual Information Maximization
IJCAI 2023
Temporal Feature Alignment and Mutual Information Maximization for Video-Based Human Pose Estimation
CVPR 2022
Invariant Feature Learning for Generalized Long-Tailed Classification
ECCV 2022
Copy Motion From One to Another: Fake Motion Video Generation
IJCAI 2022
A Spatial Regulated Patch-Wise Approach for Cervical Dysplasia Diagnosis
AAAI 2021
Smart Contract Vulnerability Detection: From Pure Neural Network to Interpretable Graph Feature and Expert Pattern Fusion
IJCAI 2021
Deep Dual Consecutive Network for Human Pose Estimation
CVPR 2021
Enhanced Audio Tagging via Multi- to Single-Modal Teacher-Student Mutual Learning
AAAI 2021
Motion Prediction Using Trajectory Cues
ICCV 2021
Aggregated Multi-GANs for Controlled 3D Human Motion Prediction
AAAI 2021
Smart Contract Vulnerability Detection using Graph Neural Network
IJCAI 2020
Interactive Rare-Category-of-Interest Mining from Large Datasets
AAAI 2020
Towards Natural and Accurate Future Motion Prediction of Humans and Animals
CVPR 2019