Qiang Ji
76 papers · 2011–2026 · 11 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
Jump to papers ↓+13 more ↓ Show less ↑
πΊοΈ Taxonomy Completionist (94) π Conference Polyglot Β· Gold π Academic Marathon Β· Full π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
π
Conference Loyalist
(33)
π¬
Deep Specialist
(20)
π€
Dynamic Duo
(13)
π
Keyword Trendsetter Combo
(7)
π
Keyword Champion
(4)
π§
Keyword Pioneer
π
Conference Pioneer
π
Trend Setter
β‘
Prolific Year Β· Prolific
ποΈ
Keyword Collector
(321)
π
Renaissance Researcher
(6)
π
Century Club Β· Silver
π₯
Unstoppable Β· Gold
Venues
Top co-authors
Research topics
Machine Learning
(50)
Computer Vision
(38)
Artificial Intelligence
(35)
Analysis
(35)
Core Methods
(27)
Deep Learning
(25)
Optimization & Theory
(22)
Core AI
(21)
Learning Types Β· Machine Learning
(21)
Bayesian & Probabilistic Β· Artificial Intelligence
(19)
Architectures
(13)
Bayesian & Probabilistic Β· Machine Learning
(12)
Learning Types Β· Deep Learning
(9)
Application Areas
(7)
Knowledge & Reasoning
(6)
Keywords
facial action unit
(9)
bayesian inference
(9)
uncertainty quantification
(8)
weakly supervised learning
(7)
bayesian network
(7)
intensity estimation
(6)
facial expression
(6)
action recognition
(5)
probabilistic modeling
(5)
structure learning
(5)
epistemic uncertainty
(4)
convolutional neural network
(4)
facial landmark detection
(4)
causal discovery
(3)
feature learning
(3)
graph convolution
(3)
probabilistic model
(3)
eye tracking
(3)
video understanding
(3)
probabilistic inference
(3)
Papers
CGU-Bayes: Causal Graph Uncertainty-Guided Bayesian Inference for Domain Generalization
CVPR 2026
Towards Knowledge-augmented Bayesian Deep Learning For Computer Vision
CVPR 2026
Diffusion-based 3D Hand Motion Recovery with Intuitive Physics
ICCV 2025
AU-Aware Dynamic 3D Face Reconstruction From Videos With Transformer
WACV 2024
Bayesian Evidential Deep Learning for Online Action Detection
ECCV 2024
Beyond Dirichlet-based Models: When Bayesian Neural Networks Meet Evidential Deep Learning
UAI 2024
Effective Causal Discovery under Identifiable Heteroscedastic Noise Model
AAAI 2024
Epistemic Uncertainty Quantification For Pre-Trained Neural Networks
CVPR 2024
Incorporating Physics Principles for Precise Human Motion Prediction
WACV 2024
Integrating Markov Blanket Discovery into Causal Representation Learning for Domain Generalization
ECCV 2024
Optimization-based Uncertainty Attribution Via Learning Informative Perturbations
ECCV 2024
PhysPT: Physics-aware Pretrained Transformer for Estimating Human Dynamics from Monocular Videos
CVPR 2024
Theory-guided Message Passing Neural Network for Probabilistic Inference
AISTATS 2024
Uncertainty-aware Action Decoupling Transformer for Action Anticipation
CVPR 2024
Weakly-Supervised 3D Hand Reconstruction with Knowledge Prior and Uncertainty Guidance
ECCV 2024
Biomechanics-Guided Facial Action Unit Detection Through Force Modeling
CVPR 2023
Body Knowledge and Uncertainty Modeling for Monocular 3D Human Body Reconstruction
ICCV 2023
Diversity-enhanced probabilistic ensemble for uncertainty estimation
UAI 2023
Gradient-Based Uncertainty Attribution for Explainable Bayesian Deep Learning
CVPR 2023
Physics-Augmented Autoencoder for 3D Skeleton-Based Gait Recognition
ICCV 2023
Probabilistic Debiasing of Scene Graphs
CVPR 2023
AU-Aware 3D Face Reconstruction through Personalized AU-Specific Blendshape Learning
ECCV 2022
Empirical Bayesian Approaches for Robust Constraint-based Causal Discovery under Insufficient Data
IJCAI 2022
Uncertainty-Based Spatial-Temporal Attention for Online Action Detection
ECCV 2022
Uncertainty-Guided Probabilistic Transformer for Complex Action Recognition
CVPR 2022
Variational message passing neural network for Maximum-A-Posteriori (MAP) inference
UAI 2022
DAGs with No Curl: An Efficient DAG Structure Learning Approach
ICML 2021
Dynamic Probabilistic Graph Convolution for Facial Action Unit Intensity Estimation
CVPR 2021
Hybrid Message Passing With Performance-Driven Structures for Facial Action Unit Detection
CVPR 2021
Type-augmented Relation Prediction in Knowledge Graphs
AAAI 2021
Uncertain Graph Neural Networks for Facial Action Unit Detection
AAAI 2021
Bayesian Adversarial Human Motion Synthesis
CVPR 2020
Knowledge Augmented Deep Neural Networks for Joint Facial Expression and Action Unit Recognition
NeurIPS 2020
Label Error Correction and Generation through Label Relationships
AAAI 2020
Bayesian Graph Convolution LSTM for Skeleton Based Action Recognition
ICCV 2019
Bayesian Hierarchical Dynamic Model for Human Action Recognition
CVPR 2019
Context-Aware Feature and Label Fusion for Facial Action Unit Intensity Estimation With Partially Labeled Data
ICCV 2019
Deep Structured Prediction for Facial Landmark Detection
NeurIPS 2019
Face Alignment With Kernel Density Deep Neural Network
ICCV 2019
Generalizing Eye Tracking With Bayesian Adversarial Learning
CVPR 2019
Joint Representation and Estimator Learning for Facial Action Unit Intensity Estimation
CVPR 2019
Neuro-Inspired Eye Tracking With Eye Movement Dynamics
CVPR 2019
A Hierarchical Generative Model for Eye Image Synthesis and Eye Gaze Estimation
CVPR 2018
Bilateral Ordinal Relevance Multi-Instance Regression for Facial Action Unit Intensity Estimation
CVPR 2018
Classifier Learning With Prior Probabilities for Facial Action Unit Recognition
CVPR 2018
Weakly-Supervised Deep Convolutional Neural Network Learning for Facial Action Unit Intensity Estimation
CVPR 2018
A Multimodal Deep Regression Bayesian Network for Affective Video Content Analyses
ICCV 2017
Deep Facial Action Unit Recognition From Partially Labeled Data
ICCV 2017
Real Time Eye Gaze Tracking With 3D Deformable Eye-Face Model
ICCV 2017
Simultaneous Facial Landmark Detection, Pose and Deformation Estimation Under Facial Occlusion
CVPR 2017
Constrained Deep Transfer Feature Learning and Its Applications
CVPR 2016
Constrained Joint Cascade Regression Framework for Simultaneous Facial Action Unit Recognition and Facial Landmark Detection
CVPR 2016
Constrained Local Latent Variable Discovery
IJCAI 2016
Facial Expression Intensity Estimation Using Ordinal Information
CVPR 2016
Multimodal Spontaneous Emotion Corpus for Human Behavior Analysis
CVPR 2016
Object Recognition with Hidden Attributes
IJCAI 2016
Classifier Learning With Hidden Information
CVPR 2015
Local Causal Discovery of Direct Causes and Effects
NeurIPS 2015
Robust Facial Landmark Detection Under Significant Head Poses and Occlusion
ICCV 2015
Structured Feature Selection
ICCV 2015
Video Event Recognition With Deep Hierarchical Context Model
CVPR 2015
Advances in Learning Bayesian Networks of Bounded Treewidth
NeurIPS 2014
A Hierarchical Context Model for Event Recognition in Surveillance Video
CVPR 2014
A Hierarchical Probabilistic Model for Facial Feature Detection
CVPR 2014
Complex Activity Recognition using Granger Constrained DBN (GCDBN) in Sports and Surveillance Video
CVPR 2014
A Unified Probabilistic Approach Modeling Relationships between Attributes and Objects
ICCV 2013
Capturing Complex Spatio-temporal Relations among Facial Muscles for Facial Expression Recognition
CVPR 2013
Capturing Global Semantic Relationships for Facial Action Unit Recognition
ICCV 2013
Constrained Clustering and Its Application to Face Clustering in Videos
CVPR 2013
Deep Feature Learning Using Target Priors with Applications in ECoG Signal Decoding for BCI
IJCAI 2013
Event Detection in Complex Scenes Using Interval Temporal Constraints
ICCV 2013
Facial Feature Tracking Under Varying Facial Expressions and Face Poses Based on Restricted Boltzmann Machines
CVPR 2013
Simultaneous Clustering and Tracklet Linking for Multi-face Tracking in Videos
ICCV 2013
Learning with Target Prior
NeurIPS 2012
Anatomically Constrained Decoding of Finger Flexion from Electrocorticographic Signals
NeurIPS 2011
Efficient Structure Learning of Bayesian Networks using Constraints
JMLR 2011