Li Cheng

Latest

• Fully automated leg movement tracking in freely moving insects using Feature Learning Leg Segmentation and Tracking (FLLIT)
• Improving retinal vessel segmentation with joint local loss by matting
• Least Squares Approximation via Sparse Subsampled Randomized Hadamard Transform
• Multivariate Regression with Gross Errors on Manifold-valued Data
• Multi-modal Multi-task Learning for Automatic Dietary Assessment
• Supervised Segmentation of Un-annotated Retinal Fundus Images by Synthesis
• Synthesizing Retinal and Neuronal Images with Generative Adversarial Nets
• Recognizing Complex Activities by a Probabilistic Interval-based Model
• An Efficient Self-Tuning Multiclass Classification Approach
• GHand: A GPU algorithm for realtime hand pose estimation using depth camera
• Learning to Boost Filamentary Structure Segmentation
• Robust Multivariate Regression with Grossly Corrupted Observations and Its Application to Personality Prediction
• A retinal vessel boundary tracking method based on Bayesian theory and multi-scale line detection
• Semi-supervised Domain Adaptation on Manifolds
• Tracing Retinal Blood Vessels by Matrix-Forest Theorem of Directed Graphs
• Tracing retinal vessel trees by transductive inference
• Automated Tracing of Retinal Blood Vessels Using Graphical Models
• Editorial of the Special issue: Machine Learning in Motion Analysis: New Advances
• Efficient Hand Pose Estimation from a Single Depth Image
• Exploiting Syntactic, Semantic, and Lexical Regularities in Language Modeling via Directed Markov Random Fields
• Riemannian Similarity Learning
• A Bag-of-Words Model for Cellular Image Segmentation
• Integrating Local Action Elements for Action Analysis
• Structured learning of local features for human action classification and localization
• Discriminative Cellular Segmentation for Microscopic Images
• Discriminative Human Action Segmentation and Recognition using SMMs
• Elastic Sequence Correlation for Human Action Analysis
• Foreground Segmentation of Live Videos using Locally Competing 1SVMs
• Incorporating Estimated Motion in Real-time Background Subtraction
• Real-time Discriminative Background Subtraction
• Efficient Learning to Label Images
• Human Action Recognition and Localization in Video using Structured Learning of Local Space-Time Features
• Human Action Recognition from Boosted Pose Estimation
• Implicit Motion-Shape Model: A generic approach for action matching
• Learning Graph Matching
• Human Body Articulation for Action Recognition in Video Sequences
• Inference of the Structural Credit Risk Model using MLE
• Learning-based multiview video coding
• Machine Learning for Human Motion Analysis: Theory and Practice
• Realtime Background Subtraction from Dynamic Scenes
• Spatial-Temporal Modeling of Interactive Image Interpretation
• User-Driven Lossy Compression for Images and Video
• Consistent image analogies using semi-supervised learning
• Discriminative Human Action Segmentation and Recognition using. Semi-Markov Model
• Prediction and Change Detection In Sequential Data for Interactive Applications
• Bayesian stereo matching
• Influence of Human Inputs on Semi-automatic Image Interpretation
• Learning Graph Matching
• Learning to compress images and videos
• Online Learning with Novelty Detection in Human-guided Road Tracking
• Stochastic Analysis of Lexical and Semantic for Enhanced Structural Language Model
• A Novel Learning Approach for Semi-automatic Road Tracking
• An Online Discriminative Approach to Background Subtraction
• Component Optimization for Image Understanding: a Bayesian Approach
• Bayesian Image Understanding: From Images to Virtual Forests
• Exploiting syntactic, semantic and lexical regularities in language modeling via directed Markov random fields
• Variational Bayesian image modelling
• Bayesian Stereo Matching
• Forestry Scene Geometry Estimation via Statistical Learning
• A Bayesian Approach to Image Understanding: From Images to Virtual Forests
• Doubly-MRF Stereo Matching
• Unsupervised Image Segmentation: A Bayesian Approach
• A Trainable Hierarchical Hidden Markov Tree Model for color image Annotation