Yueyu Hu

Orcid: 0000-0003-4919-4515

According to our database1, Yueyu Hu authored at least 30 papers between 2017 and 2022.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2022
Towards Low Light Enhancement With RAW Images.
IEEE Trans. Image Process., 2022

Learning End-to-End Lossy Image Compression: A Benchmark.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Learning Neural Volumetric Field for Point Cloud Geometry Compression.
Proceedings of the Picture Coding Symposium, 2022

Learning to Predict on Octree for Scalable Point Cloud Geometry Coding.
Proceedings of the 5th IEEE International Conference on Multimedia Information Processing and Retrieval, 2022

Neural Data-Dependent Transform for Learned Image Compression.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
Towards Coding for Human and Machine Vision: Scalable Face Image Coding.
IEEE Trans. Multim., 2021

Bridging the Gap Between Computational Photography and Visual Recognition.
IEEE Trans. Pattern Anal. Mach. Intell., 2021

Video Coding for Machine: Compact Visual Representation Compression for Intelligent Collaborative Analytics.
CoRR, 2021

Revisit Visual Representation in Analytics Taxonomy: A Compression Perspective.
CoRR, 2021

2020
A Benchmark Dataset and Comparison Study for Multi-modal Human Action Analytics.
ACM Trans. Multim. Comput. Commun. Appl., 2020

Towards Coding For Human And Machine Vision: A Scalable Image Coding Approach.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2020

Compression Artifact Removal with Ensemble Learning of Neural Networks.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Raw-Guided Enhancing Reprocess of Low-Light Image via Deep Exposure Adjustment.
Proceedings of the Computer Vision - ACCV 2020 - 15th Asian Conference on Computer Vision, Kyoto, Japan, November 30, 2020

Coarse-to-Fine Hyper-Prior Modeling for Learned Image Compression.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Progressive Spatial Recurrent Neural Network for Intra Prediction.
IEEE Trans. Multim., 2019

Switch Mode Based Deep Fractional Interpolation in Video Coding.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2019

Deep Inter Prediction Via Pixel-Wise Motion Oriented Reference Generation.
Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

Partition Tree Guided Progressive Rethinking Network for in-Loop Filtering of HEVC.
Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

2018
Optimized Spatial Recurrent Network for Intra Prediction in Video Coding.
Proceedings of the IEEE Visual Communications and Image Processing, 2018

Deep Integer-Position Samples Refinement for Motion Compensation of Video Coding.
Proceedings of the Digital TV and Multimedia Communication - 15th International Forum, 2018

Dmcnn: Dual-Domain Multi-Scale Convolutional Neural Network for Compression Artifacts Removal.
Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

A Group Variational Transformation Neural Network for Fractional Interpolation of Video Coding.
Proceedings of the 2018 Data Compression Conference, 2018

Enhanced Intra Prediction with Recurrent Neural Network in Video Coding.
Proceedings of the 2018 Data Compression Conference, 2018

2017
PKU-MMD: A Large Scale Benchmark for Continuous Multi-Modal Human Action Understanding.
CoRR, 2017

Real-time deep image super-resolution via global context aggregation and local queue jumping.
Proceedings of the 2017 IEEE Visual Communications and Image Processing, 2017

An optimal spatial-temporal smoothness approach for tile-based 360-degree video streaming.
Proceedings of the 2017 IEEE Visual Communications and Image Processing, 2017

Real-Time Deep Video SpaTial Resolution UpConversion SysTem (STRUCT++ Demo).
Proceedings of the 2017 ACM on Multimedia Conference, 2017

PKU-MMD: A Large Scale Benchmark for Skeleton-Based Human Action Understanding.
Proceedings of the Workshop on Visual Analysis in Smart and Connected Communities, 2017

Online action detection and forecast via Multitask deep Recurrent Neural Networks.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Temporal Perceptive Network for Skeleton-Based Action Recognition.
Proceedings of the British Machine Vision Conference 2017, 2017


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