Search Results for author: Bin Zhou

Found 34 papers, 14 papers with code

Learning to See in the Dark with Events

no code implementations ECCV 2020 Song Zhang, Yu Zhang, Zhe Jiang, Dongqing Zou, Jimmy Ren, Bin Zhou

A detail enhancing branch is proposed to reconstruct day light-specific features from the domain-invariant representations in a residual manner, regularized by a ranking loss.

Representation Learning Unsupervised Domain Adaptation

Applications of Reinforcement Learning in Deregulated Power Market: A Comprehensive Review

no code implementations7 May 2022 Ziqing Zhu, Ze Hu, Ka Wing Chan, Siqi Bu, Bin Zhou, Shiwei Xia

The increasing penetration of renewable generations, along with the deregulation and marketization of power industry, promotes the transformation of power market operation paradigms.

Decision Making reinforcement-learning

Autofocus for Event Cameras

no code implementations CVPR 2022 ShiJie Lin, Yinqiang Zhang, Lei Yu, Bin Zhou, Xiaowei Luo, Jia Pan

Focus control (FC) is crucial for cameras to capture sharp images in challenging real-world scenarios.

Learning Semantic Abstraction of Shape via 3D Region of Interest

no code implementations13 Jan 2022 Haiyue Fang, Xiaogang Wang, Zheyuan Cai, Yahao Shi, Xun Sun, Shilin Wu, Bin Zhou

This is in contrast to current methods, which focus solely on either 3D shape abstraction or semantic analysis.

Indoor Scene Generation from a Collection of Semantic-Segmented Depth Images

1 code implementation ICCV 2021 Ming-Jia Yang, Yu-Xiao Guo, Bin Zhou, Xin Tong

Different from existing methods that represent an indoor scene with the type, location, and other properties of objects in the room and learn the scene layout from a collection of complete 3D indoor scenes, our method models each indoor scene as a 3D semantic scene volume and learns a volumetric generative adversarial network (GAN) from a collection of 2. 5D partial observations of 3D scenes.

Scene Generation

A Cloud-Edge-Terminal Collaborative System for Temperature Measurement in COVID-19 Prevention

no code implementations11 Jul 2021 Zheyi Ma, Hao Li, Wen Fang, Qingwen Liu, Bin Zhou, Zhiyong Bu

Then, a mobile detection model based on a multi-task cascaded convolutional network (MTCNN) is proposed to realize face alignment and mask detection on the RGB images.

Face Alignment

Mobile Optical Communications Using Second Harmonic of Intra-Cavity Laser

no code implementations21 Jun 2021 Mingliang Xiong, Qingwen Liu, Xin Wang, Shengli Zhou, Bin Zhou, Zhiyong Bu

In this paper, we propose an intra-cavity SHG RBCom system to simplify the system design and improve the energy conversion efficiency.

Learning Fine-Grained Segmentation of 3D Shapes without Part Labels

no code implementations CVPR 2021 Xiaogang Wang, Xun Sun, Xinyu Cao, Kai Xu, Bin Zhou

Learning-based 3D shape segmentation is usually formulated as a semantic labeling problem, assuming that all parts of training shapes are annotated with a given set of tags.

Deep Clustering

Robust 2D/3D Vehicle Parsing in CVIS

no code implementations11 Mar 2021 Hui Miao, Feixiang Lu, Zongdai Liu, Liangjun Zhang, Dinesh Manocha, Bin Zhou

We combine these novel algorithms and datasets to develop a robust approach for 2D/3D vehicle parsing for CVIS.

Data Augmentation Instance Segmentation +3

Hybrid Interference Mitigation Using Analog Prewhitening

no code implementations4 Mar 2021 Wei zhang, Yi Jiang, Bin Zhou, Die Hu

This paper proposes a novel scheme for mitigating strong interferences, which is applicable to various wireless scenarios, including full-duplex wireless communications and uncoordinated heterogenous networks.

Topological excitonic corner states and nodal phase in bilayer quantum spin Hall insulators

no code implementations4 Jan 2021 Zheng-Rong Liu, Lun-Hui Hu, Chui-Zhen Chen, Bin Zhou, Dong-Hui Xu

Interaction induced topological states remain one of the fascinating phases in condensed matter physics.

Mesoscale and Nanoscale Physics Superconductivity

Fine-Grained Vehicle Perception via 3D Part-Guided Visual Data Augmentation

1 code implementation15 Dec 2020 Feixiang Lu, Zongdai Liu, Hui Miao, Peng Wang, Liangjun Zhang, Ruigang Yang, Dinesh Manocha, Bin Zhou

For autonomous driving, the dynamics and states of vehicle parts such as doors, the trunk, and the bonnet can provide meaningful semantic information and interaction states, which are essential to ensuring the safety of the self-driving vehicle.

Autonomous Driving Data Augmentation +3

Nature of $X(6900)$ and its production mechanism at LHCb

no code implementations23 Nov 2020 Chang Gong, Meng-Chuan Du, Bin Zhou, Qiang Zhao, Xian-Hui Zhong

We show that the Pomeron exchanges play a unique role in vector charmonium scatterings.

High Energy Physics - Phenomenology

Deep Multimodality Learning for UAV Video Aesthetic Quality Assessment

1 code implementation4 Nov 2020 Qi Kuang, Xin Jin, Qinping Zhao, Bin Zhou

Our model can judge whether a UAV video was shot by professional photographers or amateurs together with the scene type classification.

Video Classification

Self-Supervised Learning of Part Mobility from Point Cloud Sequence

1 code implementation20 Oct 2020 Yahao Shi, Xinyu Cao, Bin Zhou

To the best of our knowledge, this is the first study on deep learning to extract part mobility from point cloud sequence of a dynamic object.

Self-Supervised Learning

CSTNet: A Dual-Branch Convolutional Network for Imaging of Reactive Flows using Chemical Species Tomography

no code implementations8 Oct 2020 Yunfan Jiang, Jingjing Si, Rui Zhang, Godwin Enemali, Bin Zhou, Hugh McCann, Chang Liu

Chemical Species Tomography (CST) has been widely used for in situ imaging of critical parameters, e. g. species concentration and temperature, in reactive flows.

Image Reconstruction

PerMO: Perceiving More at Once from a Single Image for Autonomous Driving

no code implementations16 Jul 2020 Feixiang Lu, Zongdai Liu, Xibin Song, Dingfu Zhou, Wei Li, Hui Miao, Miao Liao, Liangjun Zhang, Bin Zhou, Ruigang Yang, Dinesh Manocha

We present a novel approach to detect, segment, and reconstruct complete textured 3D models of vehicles from a single image for autonomous driving.

3D Reconstruction Autonomous Driving +3

You Impress Me: Dialogue Generation via Mutual Persona Perception

1 code implementation ACL 2020 Qian Liu, Yihong Chen, Bei Chen, Jian-Guang Lou, Zixuan Chen, Bin Zhou, Dongmei Zhang

Despite the continuing efforts to improve the engagingness and consistency of chit-chat dialogue systems, the majority of current work simply focus on mimicking human-like responses, leaving understudied the aspects of modeling understanding between interlocutors.

Dialogue Generation

How Far are We from Effective Context Modeling? An Exploratory Study on Semantic Parsing in Context

1 code implementation3 Feb 2020 Qian Liu, Bei Chen, Jiaqi Guo, Jian-Guang Lou, Bin Zhou, Dongmei Zhang

Recently semantic parsing in context has received considerable attention, which is challenging since there are complex contextual phenomena.

Semantic Parsing

FLATM: A Fuzzy Logic Approach Topic Model for Medical Documents

no code implementations25 Nov 2019 Amir Karami, Aryya Gangopadhyay, Bin Zhou, Hadi Kharrazi

One of the challenges for text analysis in medical domains is analyzing large-scale medical documents.

Document Classification Topic Models

A Split-and-Recombine Approach for Follow-up Query Analysis

1 code implementation IJCNLP 2019 Qian Liu, Bei Chen, Haoyan Liu, Lei Fang, Jian-Guang Lou, Bin Zhou, Dongmei Zhang

To leverage the advances in context-independent semantic parsing, we propose to perform follow-up query analysis, aiming to restate context-dependent natural language queries with contextual information.

Semantic Parsing

Aesthetic Attributes Assessment of Images

2 code implementations11 Jul 2019 Xin Jin, Le Wu, Geng Zhao, Xiao-Dong Li, Xiaokun Zhang, Shiming Ge, Dongqing Zou, Bin Zhou, Xinghui Zhou

This is a new formula of image aesthetic assessment, which predicts aesthetic attributes captions together with the aesthetic score of each attribute.

Image Captioning Transfer Learning

Shape2Motion: Joint Analysis of Motion Parts and Attributes from 3D Shapes

1 code implementation CVPR 2019 Xiaogang Wang, Bin Zhou, Yahao Shi, Xiaowu Chen, Qinping Zhao, Kai Xu

For the task of mobility analysis of 3D shapes, we propose joint analysis for simultaneous motion part segmentation and motion attribute estimation, taking a single 3D model as input.

Sample Efficient Deep Neuroevolution in Low Dimensional Latent Space

no code implementations27 Sep 2018 Bin Zhou, Jiashi Feng

Current deep neuroevolution models are usually trained in a large parameter search space for complex learning tasks, e. g. playing video games, which needs billions of samples and thousands of search steps to obtain significant performance.

Atari Games

Learning to Group and Label Fine-Grained Shape Components

no code implementations13 Sep 2018 Xiaogang Wang, Bin Zhou, Haiyue Fang, Xiaowu Chen, Qinping Zhao, Kai Xu

We propose to generate part hypotheses from the components based on a hierarchical grouping strategy, and perform labeling on those part groups instead of directly on the components.

Weaving Multi-scale Context for Single Shot Detector

no code implementations8 Dec 2017 Yunpeng Chen, Jianshu Li, Bin Zhou, Jiashi Feng, Shuicheng Yan

For 320x320 input of batch size = 8, WeaveNet reaches 79. 5% mAP on PASCAL VOC 2007 test in 101 fps with only 4 fps extra cost, and further improves to 79. 7% mAP with more iterations.

object-detection Object Detection

Primary Video Object Segmentation via Complementary CNNs and Neighborhood Reversible Flow

no code implementations ICCV 2017 Jia Li, Anlin Zheng, Xiaowu Chen, Bin Zhou

By applying CCNN on each video frame, the spatial foregroundness and backgroundness maps can be initialized, which are then propagated between various frames so as to segment primary video objects and suppress distractors.

Semantic Segmentation Superpixels +2

Fuzzy Approach Topic Discovery in Health and Medical Corpora

1 code implementation2 May 2017 Amir Karami, Aryya Gangopadhyay, Bin Zhou, Hadi Kharrazi

The majority of medical documents and electronic health records (EHRs) are in text format that poses a challenge for data processing and finding relevant documents.

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