Search Results for author: Bing Zhou

Found 20 papers, 1 papers with code

Context-Aware Block Net for Small Object Detection

no code implementations IEEE Transactions on Cybernetics 2023 Lisha Cui, Pei Lv, Xiaoheng Jiang, Zhimin Gao, Bing Zhou, Luming Zhang, Ling Shao, Mingliang Xu

State-of-the-art object detectors usually progressively downsample the input image until it is represented by small feature maps, which loses the spatial information and compromises the representation of small objects.

Object object-detection +2

TopoBERT: Plug and Play Toponym Recognition Module Harnessing Fine-tuned BERT

no code implementations31 Jan 2023 Bing Zhou, Lei Zou, Yingjie Hu, Yi Qiang, Daniel Goldberg

Extracting precise geographical information from textual contents is crucial in a plethora of applications.

Humanitarian Toponym Recognition

Multi-scale Feature Aggregation for Crowd Counting

no code implementations10 Aug 2022 Xiaoheng Jiang, Xinyi Wu, Hisham Cholakkal, Rao Muhammad Anwer, Jiale Cao Mingliang Xu, Bing Zhou, Yanwei Pang, Fahad Shahbaz Khan

The SkipAgg module directly propagates features with small receptive fields to features with much larger receptive fields.

Crowd Counting

Multi-Spatio-temporal Fusion Graph Recurrent Network for Traffic forecasting

no code implementations3 May 2022 Wei Zhao, Shiqi Zhang, Bing Zhou, Bei Wang

The network proposes a data-driven weighted adjacency matrix generation method to compensate for real-time spatial dependencies not reflected by the predefined adjacency matrix.

Management Time Series Analysis

STCGAT: A Spatio-temporal Causal Graph Attention Network for traffic flow prediction in Intelligent Transportation Systems

no code implementations21 Mar 2022 Wei Zhao, Shiqi Zhang, Bing Zhou, Bei Wang

Existing methods are usually based on graph neural networks using predefined spatial adjacency graphs of traffic networks to model spatial dependencies, ignoring the dynamic correlation of relationships between road nodes.

Sparse Depth Completion with Semantic Mesh Deformation Optimization

no code implementations10 Dec 2021 Bing Zhou, Matias Aiskovich, Sinem Guven

Sparse depth measurements are widely available in many applications such as augmented reality, visual inertial odometry and robots equipped with low cost depth sensors.

3D Object Recognition 3D Reconstruction +4

User-Guided Personalized Image Aesthetic Assessment based on Deep Reinforcement Learning

no code implementations14 Jun 2021 Pei Lv, Jianqi Fan, Xixi Nie, WeiMing Dong, Xiaoheng Jiang, Bing Zhou, Mingliang Xu, Changsheng Xu

This framework leverages user interactions to retouch and rank images for aesthetic assessment based on deep reinforcement learning (DRL), and generates personalized aesthetic distribution that is more in line with the aesthetic preferences of different users.

Image Enhancement reinforcement-learning +1

Emotional Contagion-Aware Deep Reinforcement Learning for Antagonistic Crowd Simulation

no code implementations29 Apr 2021 Pei Lv, Qingqing Yu, Boya Xu, Chaochao Li, Bing Zhou, Mingliang Xu

In this paper, we propose an Emotional contagion-aware Deep reinforcement learning model for Antagonistic Crowd Simulation (ACSED).

Decision Making reinforcement-learning +1

Agent-Based Campus Novel Coronavirus Infection and Control Simulation

no code implementations22 Feb 2021 Pei Lv, Quan Zhang, Boya Xu, Ran Feng, Chaochao Li, Junxiao Xue, Bing Zhou, Mingliang Xu

Corona Virus Disease 2019 (COVID-19), due to its extremely high infectivity, has been spreading rapidly around the world and bringing huge influence to socioeconomic development as well as people's daily life.

Social and Information Networks Physics and Society Populations and Evolution

Personality-Aware Probabilistic Map for Trajectory Prediction of Pedestrians

no code implementations1 Nov 2019 Chaochao Li, Pei Lv, Mingliang Xu, Xinyu Wang, Dinesh Manocha, Bing Zhou, Meng Wang

We update this map dynamically based on the agents in the environment and prior trajectory of a pedestrian.

Trajectory Prediction

Multi-scale discriminative Region Discovery for Weakly-Supervised Object Localization

no code implementations24 Sep 2019 Pei Lv, Haiyu Yu, Junxiao Xue, Junjin Cheng, Lisha Cui, Bing Zhou, Mingliang Xu, Yi Yang

On ILSVRC 2016, the proposed method yields the Top-1 localization error of 48. 65\%, which outperforms previous results by 2. 75\%.

Weakly-Supervised Object Localization

Abnormal Event Detection and Location for Dense Crowds using Repulsive Forces and Sparse Reconstruction

no code implementations21 Aug 2018 Pei Lv, Shunhua Liu, Mingliang Xu, Bing Zhou

This paper proposes a method based on repulsive forces and sparse reconstruction for the detection and location of abnormal events in crowded scenes.

Event Detection

MDSSD: Multi-scale Deconvolutional Single Shot Detector for Small Objects

1 code implementation18 May 2018 Lisha Cui, Rui Ma, Pei Lv, Xiaoheng Jiang, Zhimin Gao, Bing Zhou, Mingliang Xu

The performance of small object detection, however, is still less than satisfactory because of the deficiency of semantic information on shallow feature maps.

Object object-detection +1

USAR: an Interactive User-specific Aesthetic Ranking Framework for Images

no code implementations3 May 2018 Pei Lv, Meng Wang, Yongbo Xu, Ze Peng, Junyi Sun, Shimei Su, Bing Zhou, Mingliang Xu

When assessing whether an image is of high or low quality, it is indispensable to take personal preference into account.

Bi-directional Graph Structure Information Model for Multi-Person Pose Estimation

no code implementations2 May 2018 Jing Wang, Ze Peng, Pei Lv, Junyi Sun, Bing Zhou, Mingliang Xu

The first branch predicts the confidence maps of joints and uses a geometrical transform kernel to propagate information between neighboring joints at the confidence level.

Multi-Person Pose Estimation

Depth Information Guided Crowd Counting for Complex Crowd Scenes

no code implementations3 Mar 2018 Mingliang Xu, Zhaoyang Ge, Xiaoheng Jiang, Gaoge Cui, Pei Lv, Bing Zhou, Changsheng Xu

DigCrowd first uses the depth information of an image to segment the scene into a far-view region and a near-view region.

Crowd Counting

Macroblock Classification Method for Video Applications Involving Motions

no code implementations28 Feb 2015 Weiyao Lin, Ming-Ting Sun, Hongxiang Li, Zhenzhong Chen, Wei Li, Bing Zhou

We demonstrate that this low-computation-complexity method can efficiently catch the characteristics of the frame.

Change Detection Classification +2

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