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08/01/2023
Body Knowledge and Uncertainty Modeling for Monocular 3D Human Body Reconstruction
While 3D body reconstruction methods have made remarkable progress recen...
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04/10/2023
Gradient-based Uncertainty Attribution for Explainable Bayesian Deep Learning
Predictions made by deep learning models are prone to data perturbations...
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11/30/2022
Knowledge-augmented Deep Learning and Its Applications: A Survey
Deep learning models, though having achieved great success in many diffe...
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11/11/2022
Probabilistic Debiasing of Scene Graphs
The quality of scene graphs generated by the state-of-the-art (SOTA) mod...
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06/16/2022
Empirical Bayesian Approaches for Robust Constraint-based Causal Discovery under Insufficient Data
Causal discovery is to learn cause-effect relationships among variables ...
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08/12/2021
Automatic Gaze Analysis: A Survey of DeepLearning based Approaches
Eye gaze analysis is an important research problem in the field of compu...
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06/25/2021
Bayesian Eye Tracking
Model-based eye tracking has been a dominant approach for eye gaze track...
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06/14/2021
DAGs with No Curl: An Efficient DAG Structure Learning Approach
Recently directed acyclic graph (DAG) structure learning is formulated a...
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10/18/2020
Deep Structured Prediction for Facial Landmark Detection
Existing deep learning based facial landmark detection methods have achi...
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09/16/2020
Type-augmented Relation Prediction in Knowledge Graphs
Knowledge graphs (KGs) are of great importance to many real world applic...
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10/03/2019
Affective Computing for Large-Scale Heterogeneous Multimedia Data: A Survey
The wide popularity of digital photography and social networks has gener...
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05/15/2018
Facial Landmark Detection: a Literature Survey
The locations of the fiducial facial landmark points around facial compo...
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10/21/2017
A Generative Restricted Boltzmann Machine Based Method for High-Dimensional Motion Data Modeling
Many computer vision applications involve modeling complex spatio-tempor...
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09/23/2017
Simultaneous Facial Landmark Detection, Pose and Deformation Estimation under Facial Occlusion
Facial landmark detection, head pose estimation, and facial deformation ...
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09/23/2017
Constrained Joint Cascade Regression Framework for Simultaneous Facial Action Unit Recognition and Facial Landmark Detection
Cascade regression framework has been shown to be effective for facial l...
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09/23/2017
Constrained Deep Transfer Feature Learning and its Applications
Feature learning with deep models has achieved impressive results for bo...
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09/23/2017
Robust Facial Landmark Detection under Significant Head Poses and Occlusion
There have been tremendous improvements for facial landmark detection on...
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09/18/2017
A Hierarchical Probabilistic Model for Facial Feature Detection
Facial feature detection from facial images has attracted great attentio...
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09/18/2017
Facial Feature Tracking under Varying Facial Expressions and Face Poses based on Restricted Boltzmann Machines
Facial feature tracking is an active area in computer vision due to its ...
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06/05/2014
Advances in Learning Bayesian Networks of Bounded Treewidth
This work presents novel algorithms for learning Bayesian network struct...
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06/13/2012