Search Results for author: Hui Yuan

Found 27 papers, 6 papers with code

Spatial-Temporal Transformer based Video Compression Framework

no code implementations21 Sep 2023 Yanbo Gao, Wenjia Huang, Shuai Li, Hui Yuan, Mao Ye, Siwei Ma

Similar as the traditional video coding, LVC inherits motion estimation/compensation, residual coding and other modules, all of which are implemented with neural networks (NNs).

Motion Estimation Video Compression

Unified Off-Policy Learning to Rank: a Reinforcement Learning Perspective

1 code implementation13 Jun 2023 Zeyu Zhang, Yi Su, Hui Yuan, Yiran Wu, Rishab Balasubramanian, Qingyun Wu, Huazheng Wang, Mengdi Wang

Building upon this, we leverage offline RL techniques for off-policy LTR and propose the Click Model-Agnostic Unified Off-policy Learning to Rank (CUOLR) method, which could be easily applied to a wide range of click models.

Learning-To-Rank Offline RL +2

Exploiting Inductive Bias in Transformer for Point Cloud Classification and Segmentation

1 code implementation27 Apr 2023 Zihao Li, Pan Gao, Hui Yuan, Ran Wei, Manoranjan Paul

Discovering inter-point connection for efficient high-dimensional feature extraction from point coordinate is a key challenge in processing point cloud.

3D Object Classification 3D Part Segmentation +2

GQE-Net: A Graph-based Quality Enhancement Network for Point Cloud Color Attribute

no code implementations24 Mar 2023 Jinrui Xing, Hui Yuan, Raouf Hamzaoui, Hao liu, Junhui Hou

Specifically, we use a parallel-serial graph attention module with a multi-head graph attention mechanism to focus on important points or features and help them fuse together.

Graph Attention

Dynamic Local Feature Aggregation for Learning on Point Clouds

1 code implementation7 Jan 2023 Zihao Li, Pan Gao, Hui Yuan, Ran Wei

Existing point cloud learning methods aggregate features from neighbouring points relying on constructing graph in the spatial domain, which results in feature update for each point based on spatially-fixed neighbours throughout layers.

Point Cloud Classification

Progressive Knowledge Transfer Based on Human Visual Perception Mechanism for Perceptual Quality Assessment of Point Clouds

no code implementations30 Nov 2022 Qi Liu, Yiyun Liu, Honglei Su, Hui Yuan, Raouf Hamzaoui

In this paper, a progressive knowledge transfer based on human visual perception mechanism for perceptual quality assessment of point clouds (PKT-PCQA) is proposed.

Transfer Learning

Bandit Theory and Thompson Sampling-Guided Directed Evolution for Sequence Optimization

no code implementations5 Jun 2022 Hui Yuan, Chengzhuo Ni, Huazheng Wang, Xuezhou Zhang, Le Cong, Csaba Szepesvári, Mengdi Wang

We propose a Thompson Sampling-guided Directed Evolution (TS-DE) framework for sequence optimization, where the sequence-to-function mapping is unknown and querying a single value is subject to costly and noisy measurements.

BIG-bench Machine Learning Evolutionary Algorithms +2

PUFA-GAN: A Frequency-Aware Generative Adversarial Network for 3D Point Cloud Upsampling

no code implementations2 Mar 2022 Hao liu, Hui Yuan, Junhui Hou, Raouf Hamzaoui, Wei Gao

We propose a generative adversarial network for point cloud upsampling, which can not only make the upsampled points evenly distributed on the underlying surface but also efficiently generate clean high frequency regions.

Descriptive

Neural network is heterogeneous: Phase matters more

1 code implementation3 Nov 2021 Yuqi Nie, Hui Yuan

We find a heterogeneity in both complex and real valued neural networks with the insight from wave optics, claiming a much more important role of phase than its amplitude counterpart in the weight matrix.

Network Pruning

A Global Appearance and Local Coding Distortion based Fusion Framework for CNN based Filtering in Video Coding

no code implementations24 Jun 2021 Jian Yue, Yanbo Gao, Shuai Li, Hui Yuan, Frédéric Dufaux

To the best of our knowledge, we are the first one that clearly characterizes the video filtering process from the above global appearance and local coding distortion restoration aspects with experimental verification, providing a clear pathway to developing filter techniques.

Blocking

Nodal Frequency Performance of Power Networks

no code implementations5 Apr 2021 Huisheng Gao, Hui Yuan, Huanhai Xin, Linbin Huang, Chaoyou Feng

Then, we present how the initial RoCoF of the nodal frequencies are related to the inertia constants of multiple generators in a power network, which leads to a performance metric to analyze nodal frequency performance.

Adaptive Deconvolution-based stereo matching Net for Local Stereo Matching

no code implementations1 Jan 2021 Xin Ma, Zhicheng Zhang, Danfeng Wang, Yu Luo, Hui Yuan

In deep learning-based local stereo matching methods, larger image patches usually bring better stereo matching accuracy.

Stereo Matching

CorrNet3D: Unsupervised End-to-end Learning of Dense Correspondence for 3D Point Clouds

1 code implementation CVPR 2021 Yiming Zeng, Yue Qian, Zhiyu Zhu, Junhui Hou, Hui Yuan, Ying He

The symmetric deformer, with an additional regularized loss, transforms the two permuted point clouds to each other to drive the unsupervised learning of the correspondence.

Ranked #5 on 3D Dense Shape Correspondence on SHREC'19 (using extra training data)

3D Dense Shape Correspondence

Reduced Reference Perceptual Quality Model and Application to Rate Control for 3D Point Cloud Compression

no code implementations25 Nov 2020 Qi Liu, Hui Yuan, Raouf Hamzaoui, Honglei Su, Junhui Hou, Huan Yang

In rate-distortion optimization, the encoder settings are determined by maximizing a reconstruction quality measure subject to a constraint on the bit rate.

Quantization

Random Walk for modelling Multi Core Fiber cross-talk and step distribution characterisation

no code implementations31 Aug 2020 Alessandro Ottino, Hui Yuan, Yunnuo Xu, Eric Sillekens, Georgios Zervas

In addition, this model is consistent with statistical analysis such as short term average crosstalk (STAXT), keeping the same convergence properties and it showed to be almost independent to time-window.

Experimental Analysis on Variations and Accuracy of Crosstalk in Trench-Assisted Multi-core Fibers

no code implementations7 Aug 2020 Hui Yuan, Alessandro Ottino, Yunnuo Xu, Arsalan Saljoghei, Tetsuya Hayashi, Tetsuya Nakanishi, Eric Sillekens, Lidia Galdino, Polina Bayvel, Zhixin Liu, Georgios Zervas

Space division multiplexing using multi-core fiber (MCF) is a promising solution to cope with the capacity crunch in standard single-mode fiber based optical communication systems.

Learning Entangled Single-Sample Gaussians in the Subset-of-Signals Model

no code implementations10 Jul 2020 Yingyu Liang, Hui Yuan

In the setting of entangled single-sample distributions, the goal is to estimate some common parameter shared by a family of $n$ distributions, given one single sample from each distribution.

Learning Entangled Single-Sample Distributions via Iterative Trimming

no code implementations20 Apr 2020 Hui Yuan, YIngyu Liang

We study mean estimation and linear regression under general conditions, and analyze a simple and computationally efficient method based on iteratively trimming samples and re-estimating the parameter on the trimmed sample set.

An Ensemble Rate Adaptation Framework for Dynamic Adaptive Streaming Over HTTP

no code implementations26 Dec 2019 Hui Yuan, Xiaoqian Hu, Junhui Hou, Xuekai Wei, Sam Kwong

Specifically, the proposed framework is composed of two modules, i. e., the method pool and method controller.

Spatial and Temporal Consistency-Aware Dynamic Adaptive Streaming for 360-Degree Videos

no code implementations20 Dec 2019 Hui Yuan, Shiyun Zhao, Junhui Hou, Xuekai Wei, Sam Kwong

That is, our method preserves both the quality and the smoothness of tiles in FoV, thus providing the best QoE for users.

A Comprehensive Study and Comparison of Core Technologies for MPEG 3D Point Cloud Compression

no code implementations20 Dec 2019 Hao Liu, Hui Yuan, Qi Liu, Junhui Hou, Ju Liu

Point cloud based 3D visual representation is becoming popular due to its ability to exhibit the real world in a more comprehensive and immersive way.

Single Image based Head Pose Estimation with Spherical Parameterization and 3D Morphing

no code implementations22 Jul 2019 Hui Yuan, Mengyu Li, Junhui Hou, Jimin Xiao

Specifically, the rectangular coordinates of only four non-coplanar feature points from a predefined 3D facial model as well as the corresponding ones automatically/ manually extracted from a 2D face image are first normalized to exclude the effect of external factors (i. e., scale factor and translation parameters).

Head Pose Estimation

Removing Stripes, Scratches, and Curtaining with Non-Recoverable Compressed Sensing

no code implementations23 Jan 2019 Jonathan Schwartz, Yi Jiang, Yongjie Wang, Anthony Aiello, Pallab Bhattacharya, Hui Yuan, Zetian Mi, Nabil Bassim, Robert Hovden

Highly-directional image artifacts such as ion mill curtaining, mechanical scratches, or image striping from beam instability degrade the interpretability of micrographs.

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