Search Results for author: Hui Zhou

Found 35 papers, 9 papers with code

Federated Reinforcement Learning for Uplink Centric Broadband Communication Optimization over Unlicensed Spectrum

no code implementations18 Feb 2024 Hui Zhou, Yansha Deng

In this paper, we first develop a centralized double Deep Q-Network (DDQN) algorithm to optimize the uplink system throughput, where the agent is deployed at the central server to dynamically adjust the ED thresholds for NR-U and WiFi networks.

BDEC:Brain Deep Embedded Clustering model

no code implementations12 Sep 2023 Xiaoxiao Ma, Chunzhi Yi, Zhicai Zhong, Hui Zhou, Baichun Wei, Haiqi Zhu, Feng Jiang

An essential premise for neuroscience brain network analysis is the successful segmentation of the cerebral cortex into functionally homogeneous regions.

Clustering Dimensionality Reduction

ContrastMotion: Self-supervised Scene Motion Learning for Large-Scale LiDAR Point Clouds

no code implementations25 Apr 2023 Xiangze Jia, Hui Zhou, Xinge Zhu, Yandong Guo, Ji Zhang, Yuexin Ma

In this paper, we propose a novel self-supervised motion estimator for LiDAR-based autonomous driving via BEV representation.

Autonomous Driving Contrastive Learning +2

Energy-Efficient Cellular-Connected UAV Swarm Control Optimization

no code implementations18 Mar 2023 Yang Su, Hui Zhou, Yansha Deng, Mischa Dohler

To maximize the number of UAVs that receive the message successfully within the latency and energy constraints, we formulate the problem as a Constrained Markov Decision Process to find the optimal policy.

Graph Attention

Goal-Oriented Semantic Communications for 6G Networks

no code implementations17 Oct 2022 Hui Zhou, Yansha Deng, Xiaonan Liu, Nikolaos Pappas, Arumugam Nallanathan

In this article, we propose a generic goal-oriented semantic communication framework for various tasks with diverse data types, which incorporates both semantic level information and effectiveness-aware performance metrics.

LiDAR-based 4D Panoptic Segmentation via Dynamic Shifting Network

1 code implementation14 Mar 2022 Fangzhou Hong, Hui Zhou, Xinge Zhu, Hongsheng Li, Ziwei Liu

In this work, we address the task of LiDAR-based panoptic segmentation, which aims to parse both objects and scenes in a unified manner.

4D Panoptic Segmentation Autonomous Driving +3

AdaStereo: An Efficient Domain-Adaptive Stereo Matching Approach

no code implementations9 Dec 2021 Xiao Song, Guorun Yang, Xinge Zhu, Hui Zhou, Yuexin Ma, Zhe Wang, Jianping Shi

Compared to previous methods, our AdaStereo realizes a more standard, complete and effective domain adaptation pipeline.

Domain Adaptation Stereo Matching

Revisiting Recursive Least Squares for Training Deep Neural Networks

no code implementations7 Sep 2021 Chunyuan Zhang, Qi Song, Hui Zhou, Yigui Ou, Hongyao Deng, Laurence Tianruo Yang

In this paper, to overcome these drawbacks, we propose three novel RLS optimization algorithms for training feedforward neural networks, convolutional neural networks and recurrent neural networks (including long short-term memory networks), by using the error backpropagation and our average-approximation RLS method, together with the equivalent gradients of the linear least squares loss function with respect to the linear outputs of hidden layers.

LIF-Seg: LiDAR and Camera Image Fusion for 3D LiDAR Semantic Segmentation

no code implementations17 Aug 2021 Lin Zhao, Hui Zhou, Xinge Zhu, Xiao Song, Hongsheng Li, Wenbing Tao

However, two major issues of the fusion between camera and LiDAR hinder its performance, \ie, how to effectively fuse these two modalities and how to precisely align them (suffering from the weak spatiotemporal synchronization problem).

Autonomous Driving LIDAR Semantic Segmentation +1

Machine Learning for Massive Industrial Internet of Things

no code implementations10 Mar 2021 Hui Zhou, Changyang She, Yansha Deng, Mischa Dohler, Arumugam Nallanathan

With the deployment of massive IIoT devices, it is difficult for the wireless network to support the ubiquitous connections with diverse quality-of-service (QoS) requirements.

BIG-bench Machine Learning

Analyzing Novel Grant-Based and Grant-Free Access Schemes for Small Data Transmission

no code implementations20 Feb 2021 Hui Zhou, Yansha Deng, Luca Feltrin, Andreas Höglund

Motivated by this, 3GPP has proposed 4/2-step SDT RA schemes based on the existing grant-based (4-step) and grant-free (2-step) RA schemes, with the aim to enable data transmission during RA procedures in Radio Resource Control (RRC) Inactive state.

Real-time Video Streaming and Control of Cellular-Connected UAV System: Prototype and Performance Evaluation

no code implementations26 Jan 2021 Hui Zhou, Fenghe Hu, Michal Juras, Asish B Mehta, Yansha Deng

Unmanned aerial vehicles (UAVs) play an increasingly important role in military, public, and civilian applications, where providing connectivity to UAVs is crucial for its real-time control, video streaming, and data collection.

A Vision of XR-aided Teleoperation System Towards 5G/B5G

no code implementations18 Nov 2020 Fenghe Hu, Yansha Deng, Hui Zhou, Tae Hun Jung, Chan-Byoung Chae, A. Hamid Aghvami

Extended Reality (XR)-aided teleoperation has shown its potential in improving operating efficiency in mission-critical, rich-information and complex scenarios.

Cylinder3D: An Effective 3D Framework for Driving-scene LiDAR Semantic Segmentation

3 code implementations4 Aug 2020 Hui Zhou, Xinge Zhu, Xiao Song, Yuexin Ma, Zhe Wang, Hongsheng Li, Dahua Lin

A straightforward solution to tackle the issue of 3D-to-2D projection is to keep the 3D representation and process the points in the 3D space.

3D Semantic Segmentation LIDAR Semantic Segmentation

Skinning a Parameterization of Three-Dimensional Space for Neural Network Cloth

no code implementations8 Jun 2020 Jane Wu, Zhenglin Geng, Hui Zhou, Ronald Fedkiw

We present a novel learning framework for cloth deformation by embedding virtual cloth into a tetrahedral mesh that parametrizes the volumetric region of air surrounding the underlying body.

Imitation Learning for Fashion Style Based on Hierarchical Multimodal Representation

1 code implementation13 Apr 2020 Shizhu Liu, Shanglin Yang, Hui Zhou

In this work, we propose an adversarial inverse reinforcement learning formulation to recover reward functions based on hierarchical multimodal representation (HM-AIRL) during the imitation process.

Imitation Learning

AdaStereo: A Simple and Efficient Approach for Adaptive Stereo Matching

no code implementations CVPR 2021 Xiao Song, Guorun Yang, Xinge Zhu, Hui Zhou, Zhe Wang, Jianping Shi

Compared to previous methods for adaptive stereo matching, our AdaStereo realizes a more standard, complete and effective domain adaptation pipeline.

Domain Adaptation Stereo Matching

Recovering Geometric Information with Learned Texture Perturbations

no code implementations20 Jan 2020 Jane Wu, Yongxu Jin, Zhenglin Geng, Hui Zhou, Ronald Fedkiw

Regularization is used to avoid overfitting when training a neural network; unfortunately, this reduces the attainable level of detail hindering the ability to capture high-frequency information present in the training data.

Robust Multi-Modality Multi-Object Tracking

1 code implementation ICCV 2019 Wenwei Zhang, Hui Zhou, Shuyang Sun, Zhe Wang, Jianping Shi, Chen Change Loy

Multi-sensor perception is crucial to ensure the reliability and accuracy in autonomous driving system, while multi-object tracking (MOT) improves that by tracing sequential movement of dynamic objects.

Autonomous Driving Multi-Object Tracking +2

3D Virtual Garment Modeling from RGB Images

no code implementations31 Jul 2019 Yi Xu, Shanglin Yang, Wei Sun, Li Tan, Kefeng Li, Hui Zhou

The predicted landmarks are used for estimating sizing information of the garment.

Mixed Reality Multi-Task Learning

Ranking-Based Autoencoder for Extreme Multi-label Classification

no code implementations NAACL 2019 Bingyu Wang, Li Chen, Wei Sun, Kechen Qin, Kefeng Li, Hui Zhou

Extreme Multi-label classification (XML) is an important yet challenging machine learning task, that assigns to each instance its most relevant candidate labels from an extremely large label collection, where the numbers of labels, features and instances could be thousands or millions.

Classification Extreme Multi-Label Classification +2

Penalizing Top Performers: Conservative Loss for Semantic Segmentation Adaptation

no code implementations ECCV 2018 Xinge Zhu, Hui Zhou, Ceyuan Yang, Jianping Shi, Dahua Lin

Due to the expensive and time-consuming annotations (e. g., segmentation) for real-world images, recent works in computer vision resort to synthetic data.

Domain Adaptation Segmentation +1

Interactions of Fungi with Concrete: Significant Importance for Bio-Based Self-Healing Concrete

no code implementations4 Aug 2017 Jing Luo, Xiaobo Chen, Jada Crump, Hui Zhou, David G. Davies, Guangwen Zhou, Ning Zhang, Congrui Jin

The goal of this study is to explore a new self-healing concept in which fungi are used as a self-healing agent to promote calcium mineral precipitation to fill the cracks in concrete.

X-Ray Diffraction (XRD)

Crafting GBD-Net for Object Detection

1 code implementation8 Oct 2016 Xingyu Zeng, Wanli Ouyang, Junjie Yan, Hongsheng Li, Tong Xiao, Kun Wang, Yu Liu, Yucong Zhou, Bin Yang, Zhe Wang, Hui Zhou, Xiaogang Wang

The effectiveness of GBD-Net is shown through experiments on three object detection datasets, ImageNet, Pascal VOC2007 and Microsoft COCO.

Object object-detection +1

Blur-Aware Disparity Estimation From Defocus Stereo Images

no code implementations ICCV 2015 Ching-Hui Chen, Hui Zhou, Timo Ahonen

We propose a blur-aware disparity estimation method that is robust to the mismatch of focus in stereo images.

Disparity Estimation

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