Qiang Ji

Diffusion-based 3D Hand Motion Recovery with Intuitive Physics ICCV 2025 Incorporating Physics Principles for Precise Human Motion Prediction WACV 2024 Beyond Dirichlet-based Models: When Bayesian Neural Networks Meet Evidential Deep Learning UAI 2024 PhysPT: Physics-aware Pretrained Transformer for Estimating Human Dynamics from Monocular Videos CVPR 2024 Epistemic Uncertainty Quantification For Pre-Trained Neural Networks CVPR 2024 Uncertainty-aware Action Decoupling Transformer for Action Anticipation CVPR 2024 AU-Aware Dynamic 3D Face Reconstruction From Videos With Transformer WACV 2024 Weakly-Supervised 3D Hand Reconstruction with Knowledge Prior and Uncertainty Guidance ECCV 2024 Effective Causal Discovery under Identifiable Heteroscedastic Noise Model AAAI 2024 Theory-guided Message Passing Neural Network for Probabilistic Inference AISTATS 2024 Bayesian Evidential Deep Learning for Online Action Detection ECCV 2024 Integrating Markov Blanket Discovery into Causal Representation Learning for Domain Generalization ECCV 2024 Optimization-based Uncertainty Attribution Via Learning Informative Perturbations ECCV 2024 Body Knowledge and Uncertainty Modeling for Monocular 3D Human Body Reconstruction ICCV 2023 Diversity-enhanced probabilistic ensemble for uncertainty estimation UAI 2023 Physics-Augmented Autoencoder for 3D Skeleton-Based Gait Recognition ICCV 2023 Biomechanics-Guided Facial Action Unit Detection Through Force Modeling CVPR 2023 Probabilistic Debiasing of Scene Graphs CVPR 2023 Gradient-Based Uncertainty Attribution for Explainable Bayesian Deep Learning CVPR 2023 Empirical Bayesian Approaches for Robust Constraint-based Causal Discovery under Insufficient Data IJCAI 2022 Uncertainty-Guided Probabilistic Transformer for Complex Action Recognition CVPR 2022 Uncertainty-Based Spatial-Temporal Attention for Online Action Detection ECCV 2022 AU-Aware 3D Face Reconstruction through Personalized AU-Specific Blendshape Learning ECCV 2022 Variational message passing neural network for Maximum-A-Posteriori (MAP) inference UAI 2022 Type-augmented Relation Prediction in Knowledge Graphs AAAI 2021 Uncertain Graph Neural Networks for Facial Action Unit Detection AAAI 2021 DAGs with No Curl: An Efficient DAG Structure Learning Approach ICML 2021 Hybrid Message Passing With Performance-Driven Structures for Facial Action Unit Detection CVPR 2021 Dynamic Probabilistic Graph Convolution for Facial Action Unit Intensity Estimation CVPR 2021 Knowledge Augmented Deep Neural Networks for Joint Facial Expression and Action Unit Recognition NIPS 2020 Label Error Correction and Generation through Label Relationships AAAI 2020 Bayesian Adversarial Human Motion Synthesis CVPR 2020 Face Alignment With Kernel Density Deep Neural Network ICCV 2019 Context-Aware Feature and Label Fusion for Facial Action Unit Intensity Estimation With Partially Labeled Data ICCV 2019 Joint Representation and Estimator Learning for Facial Action Unit Intensity Estimation CVPR 2019 Bayesian Hierarchical Dynamic Model for Human Action Recognition CVPR 2019 Neuro-Inspired Eye Tracking With Eye Movement Dynamics CVPR 2019 Generalizing Eye Tracking With Bayesian Adversarial Learning CVPR 2019 Deep Structured Prediction for Facial Landmark Detection NIPS 2019 Bayesian Graph Convolution LSTM for Skeleton Based Action Recognition ICCV 2019 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 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 Deep Facial Action Unit Recognition From Partially Labeled Data ICCV 2017 Simultaneous Facial Landmark Detection, Pose and Deformation Estimation Under Facial Occlusion CVPR 2017 Real Time Eye Gaze Tracking With 3D Deformable Eye-Face Model ICCV 2017 A Multimodal Deep Regression Bayesian Network for Affective Video Content Analyses ICCV 2017 Facial Expression Intensity Estimation Using Ordinal Information CVPR 2016 Object Recognition with Hidden Attributes IJCAI 2016 Constrained Local Latent Variable Discovery IJCAI 2016 Multimodal Spontaneous Emotion Corpus for Human Behavior Analysis CVPR 2016 Constrained Joint Cascade Regression Framework for Simultaneous Facial Action Unit Recognition and Facial Landmark Detection CVPR 2016 Constrained Deep Transfer Feature Learning and Its Applications CVPR 2016 Structured Feature Selection ICCV 2015 Video Event Recognition With Deep Hierarchical Context Model CVPR 2015 Local Causal Discovery of Direct Causes and Effects NIPS 2015 Robust Facial Landmark Detection Under Significant Head Poses and Occlusion ICCV 2015 Classifier Learning With Hidden Information CVPR 2015 A Hierarchical Context Model for Event Recognition in Surveillance Video CVPR 2014 Advances in Learning Bayesian Networks of Bounded Treewidth NIPS 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 Deep Feature Learning Using Target Priors with Applications in ECoG Signal Decoding for BCI IJCAI 2013 Capturing Global Semantic Relationships for Facial Action Unit Recognition ICCV 2013 Simultaneous Clustering and Tracklet Linking for Multi-face Tracking in Videos ICCV 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 Capturing Complex Spatio-temporal Relations among Facial Muscles for Facial Expression Recognition CVPR 2013 Constrained Clustering and Its Application to Face Clustering in Videos CVPR 2013 Learning with Target Prior NIPS 2012 Anatomically Constrained Decoding of Finger Flexion from Electrocorticographic Signals NIPS 2011 Efficient Structure Learning of Bayesian Networks using Constraints JMLR 2011