Learned Image Compression Guided Adaptive Quantization for Perceptual Quality.
Proceedings of the IEEE International Conference on Image Processing, 2023
Multi-Rate Adaptive Transform Coding for Video Compression.
Proceedings of the IEEE International Conference on Acoustics, 2023
An Efficient Scheme of Multi-Hypothesis Motion Compensated Prediction for Video Coding Applications.
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022
A Temporal Filtering Approach Based on Optical Flow Estimation for Video Coding.
Proceedings of the 23rd International Workshop on Multimedia Signal Processing, 2021
Adaptive GOP Size Decision for Multi-Pass Video Coding Based on Hidden Markov Model.
Proceedings of the IEEE International Conference on Acoustics, 2021
Optical Flow Based Co-Located Reference Frame for Video Compression.
IEEE Trans. Image Process., 2020
An Adaptive Linear Estimator Based Approach to Bi-Directional Motion Compensated Prediction.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020
Adaptive State Estimation Over Lossy Sensor Networks Fully Accounting for End-To-End Distortion.
Proceedings of the 2018 IEEE Statistical Signal Processing Workshop, 2018
Co-located Reference Frame Interpolation Using Optical Flow Estimation for Video Compression.
Proceedings of the 2018 Data Compression Conference, 2018
An error-resilient video coding framework with soft reset and end-to-end distortion optimization.
Proceedings of the 2017 IEEE International Conference on Image Processing, 2017
On generalizing the estimation-theoretic framework to scalable video coding with quadtree structured block partitions.
Proceedings of the 2017 IEEE International Conference on Image Processing, 2017
Block-size adaptive transform domain estimation of end-to-end distortion for error-resilient video coding.
Proceedings of the 2016 IEEE International Conference on Image Processing, 2016