Search Results for author: Jing He

Found 14 papers, 3 papers with code

Traffic Video Object Detection using Motion Prior

no code implementations16 Nov 2023 Lihao Liu, Yanqi Cheng, Dongdong Chen, Jing He, Pietro Liò, Carola-Bibiane Schönlieb, Angelica I Aviles-Rivero

In this work, we propose two innovative methods to exploit the motion prior and boost the performance of both fully-supervised and semi-supervised traffic video object detection.

object-detection Video Object Detection

Can LSH (Locality-Sensitive Hashing) Be Replaced by Neural Network?

no code implementations15 Oct 2023 Renyang Liu, Jun Zhao, Xing Chu, Yu Liang, Wei Zhou, Jing He

With the rapid development of GPU (Graphics Processing Unit) technologies and neural networks, we can explore more appropriate data structures and algorithms.

Deep Learning and Medical Imaging for COVID-19 Diagnosis: A Comprehensive Survey

no code implementations13 Feb 2023 Song Wu, Yazhou Ren, Aodi Yang, Xinyue Chen, Xiaorong Pu, Jing He, Liqiang Nie, Philip S. Yu

In this survey, we investigate the main contributions of deep learning applications using medical images in fighting against COVID-19 from the aspects of image classification, lesion localization, and severity quantification, and review different deep learning architectures and some image preprocessing techniques for achieving a preciser diagnosis.

COVID-19 Diagnosis Image Classification

Exploiting Expert Knowledge for Assigning Firms to Industries: A Novel Deep Learning Method

no code implementations11 Sep 2022 Xiaohang Zhao, Xiao Fang, Jing He, Lihua Huang

To address the limitations of existing methods, we propose a novel deep learning-based method that not only seamlessly integrates the three types of knowledge for industry assignment but also takes the time-specificity of assignment-based knowledge into account.

Decision Making Specificity

PixelFolder: An Efficient Progressive Pixel Synthesis Network for Image Generation

1 code implementation2 Apr 2022 Jing He, Yiyi Zhou, Qi Zhang, Jun Peng, Yunhang Shen, Xiaoshuai Sun, Chao Chen, Rongrong Ji

Pixel synthesis is a promising research paradigm for image generation, which can well exploit pixel-wise prior knowledge for generation.

Image Generation regression

How to Eliminate Detour Behaviors in E-hailing? Real-time Detecting and Time-dependent Pricing

no code implementations15 Oct 2019 Qiong Tian, Yue Yang, Jiaqi Wen, Fan Ding, Jing He

With the rapid development of information and communication technology (ICT), taxi business becomes a typical electronic commerce mode.

Line Detection

Cautionary Tales on Air-Quality Improvement in Beijing

no code implementations Proceedings of the Royal Society A 2017 Shuyi Zhang, Bin Guo, Anlan Dong, Jing He, Ziping Xu, Song Xi Chen

While this statistic offered some relief for the inhabitants of the capital, we present several analyses based on Beijing's PM2. 5 data of the past 4 years at 36 monitoring sites along with meteorological data of the past 7 years.

A Sequence-to-Sequence Model for User Simulation in Spoken Dialogue Systems

no code implementations30 Jun 2016 Layla El Asri, Jing He, Kaheer Suleman

The model takes as input a sequence of dialogue contexts and outputs a sequence of dialogue acts corresponding to user intentions.

Dialogue State Tracking Spoken Dialogue Systems +1

Policy Networks with Two-Stage Training for Dialogue Systems

no code implementations WS 2016 Mehdi Fatemi, Layla El Asri, Hannes Schulz, Jing He, Kaheer Suleman

Indeed, with only a few hundred dialogues collected with a handcrafted policy, the actor-critic deep learner is considerably bootstrapped from a combination of supervised and batch RL.

Dialogue State Tracking Gaussian Processes +2

A Parallel-Hierarchical Model for Machine Comprehension on Sparse Data

1 code implementation ACL 2016 Adam Trischler, Zheng Ye, Xingdi Yuan, Jing He, Phillip Bachman, Kaheer Suleman

The parallel hierarchy enables our model to compare the passage, question, and answer from a variety of trainable perspectives, as opposed to using a manually designed, rigid feature set.

Question Answering Reading Comprehension

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