Li Chen

Latest

• An End-to-End Learning Framework for Video Compression
• Content adaptive and error propagation aware deep video compression
• Deep Non-local Kalman Network for Video Compression Artifact Reduction
• End-to-End Optimized ROI Image Compression
• A Novel Deep Progressive Image Compression Framework
• Efficient Variable Rate Image Compression with Multi-scale Decomposition Network
• Large Scale Near-duplicate Image Retrieval via Patch Embedding
• A Wavelet-based Learning for Face Hallucination with Loop Architecture
• High-Order Model and Dynamic Filtering for Frame Rate Up-Conversion
• KalmanFlow 2.0: Efficient Video Optical Flow Estimation via Context-Aware Kalman Filtering
• KalmanFlow: Efficient Kalman Filtering for Video Optical Flow
• Novel Integration of Frame Rate Up Conversion and HEVC Coding Based on Rate-Distortion Optimization
• Rcdfnn: Robust Change Detection Based on Convolutional Fusion Neural Network
• Video Stitching Based on Optical Flow
• A Novel Frame Rate Up Conversion Using Iterative Non-Local Means Interpolation
• Edge Guided Salient Object Detection
• High-quality and real-time frame interpolation on heterogeneous computing system
• Moving segmentation in HEVC compressed domain based on logistic regression
• Spatiotemporal salient object detection based on distance transform and energy optimization
• Frame Rate Up-Conversion Using Linear Quadratic Motion Estimation and Trilateral Filtering Motion Smoothing
• Principal Component Analysis-based Visual Saliency Detection
• Frame Rate Up-Conversion Method for Video Processing Applications