Search Results for author: Ke Han

Found 16 papers, 4 papers with code

Towards Part-aware Monocular 3D Human Pose Estimation: An Architecture Search Approach

no code implementations ECCV 2020 Zerui Chen, Yan Huang, Hongyuan Yu, Bin Xue, Ke Han, Yiru Guo, Liang Wang

With roughly the same computational complexity as previous models, our approach achieves state-of-the-art results on both the single-person and multi-person 3D pose estimation benchmarks.

3D Pose Estimation Monocular 3D Human Pose Estimation

Prediction and Recovery for Adaptive Low-Resolution Person Re-Identification

no code implementations ECCV 2020 Ke Han, Yan Huang, Zerui Chen, Liang Wang, Tieniu Tan

In this paper, we propose a novel Prediction, Recovery and Identification (PRI) model for LR re-id, which adaptively recovers missing details by predicting a preferable scale factor based on the image content.

Person Re-Identification Super-Resolution

Using construction waste hauling trucks' GPS data to classify earthwork-related locations: A Chengdu case study

no code implementations22 Feb 2024 Lei Yu, Ke Han

Earthwork-related locations (ERLs), such as construction sites, earth dumping ground, and concrete mixing stations, are major sources of urban dust pollution (particulate matters).

Management

Short-term prediction of construction waste transport activities using AI-Truck

no code implementations7 Dec 2023 Meng Xu, Ke Han

Construction waste hauling trucks (or `slag trucks') are among the most commonly seen heavy-duty vehicles in urban streets, which not only produce significant NOx and PM emissions but are also a major source of on-road and on-site fugitive dust.

Ensemble Learning

Predicting the Transportation Activities of Construction Waste Hauling Trucks: An Input-Output Hidden Markov Approach

no code implementations6 Dec 2023 Hongtai Yang, Boyi Lei, Ke Han, Luna Liu

Construction waste hauling trucks (CWHTs), as one of the most commonly seen heavy-duty vehicles in major cities around the globe, are usually subject to a series of regulations and spatial-temporal access restrictions because they not only produce significant NOx and PM emissions but also causes on-road fugitive dust.

Management regression

3D Shape Temporal Aggregation for Video-Based Clothing-Change Person Re-Identication

1 code implementation Asian Conference on Computer Vision 2023 Ke Han, Shaogang Gong, Yan Huang, Liang Wang, Tieniu Tan

However, existing Re-ID methods usually generate 3D body shapes without considering identity modeling, which severely weakens the discriminability of 3D human shapes.

3D Shape Generation Person Re-Identification

Clothing-Change Feature Augmentation for Person Re-Identification

no code implementations CVPR 2023 Ke Han, Shaogang Gong, Yan Huang, Liang Wang, Tieniu Tan

Specifically, to formulate meaningful clothing variations in the feature space, our method first estimates a clothing-change normal distribution with intra-ID cross-clothing variances.

Person Re-Identification

Generalizable Person Re-Identification via Self-Supervised Batch Norm Test-Time Adaption

no code implementations1 Mar 2022 Ke Han, Chenyang Si, Yan Huang, Liang Wang, Tieniu Tan

In this paper, we investigate the generalization problem of person re-identification (re-id), whose major challenge is the distribution shift on an unseen domain.

Generalizable Person Re-identification

Signal identification with Kalman Filter towards background-free neutrinoless double beta decay searches in gaseous detectors

no code implementations16 Feb 2021 Tao Li, Shaobo Wang, Yu Chen, Ke Han, Heng Lin, Kaixiang Ni, Wei Wang, Yiliu Xu, Anni Zou

Particle tracks and differential energy loss measured in high pressure gaseous detectors can be exploited for event identification in neutrinoless double beta decay~($0\nu \beta \beta$) searches.

Instrumentation and Detectors High Energy Physics - Experiment

Slow Control System for PandaX-III experiment

no code implementations24 Dec 2020 Xiyu Yan, Xun Chen, Yu Chen, Bo Dai, Heng Lin, Tao Li, Ke Han, Kaixiang Ni, Fusang Wang, Shaobo Wang, Qibin Zheng, Xinning Zeng

The PandaX-III experiment uses high pressure gaseous time projection chamber to search for the neutrinoless double beta decay of $^{136}$Xe.

Anomaly Detection High Energy Physics - Experiment Instrumentation and Detectors

Enhanced search sensitivity to the double beta decay of $^{136}$Xe to excited states with topological signatures

no code implementations8 Dec 2020 Chen Xie, Kaixiang Ni, Ke Han, Shaobo Wang

Similarly, the half-life sensitivity of neutrinoless double beta decay of $^{136}$Xe to excited states of $^{136}$Ba can be improved by a factor of 4. 8 with topological signatures.

Nuclear Experiment High Energy Physics - Experiment

Deep-MAPS: Machine Learning based Mobile Air Pollution Sensing

no code implementations28 Apr 2019 Jun Song, Ke Han

Mobile and ubiquitous sensing of urban air quality has received increased attention as an economically and operationally viable means to survey atmospheric environment with high spatial-temporal resolution.

BIG-bench Machine Learning Management

Day-to-Day Dynamic Traffic Assignment with Imperfect Information, Bounded Rationality and Information Sharing

1 code implementation26 Nov 2018 Yang Yu, Ke Han, Washington Ochieng

These two variants, serving as based models, are further extended with two features: bounded rationality (BR) and information sharing.

Physics and Society Optimization and Control

Computing Dynamic User Equilibria on Large-Scale Networks: From Theory to Software Implementation

1 code implementation1 Oct 2018 Ke Han, Gabriel Eve, Terry Friesz

Dynamic user equilibrium (DUE) is the most widely studied form of dynamic traffic assignment, in which road travelers engage in a non-cooperative Nash-like game with departure time and route choices.

Optimization and Control Analysis of PDEs

Community structures, interactions and dynamics in London's bicycle sharing network

1 code implementation16 Apr 2018 Fernando Munoz-Mendez, Konstantin Klemmer, Ke Han, Stephen Jarvis

Bikesharing schemes are transportation systems that not only provide an efficient mode of transportation in congested urban areas, but also improve last-mile connectivity with public transportation and local accessibility.

Social and Information Networks Computers and Society Physics and Society

Limits on Axion Couplings from the first 80-day data of PandaX-II Experiment

no code implementations25 Jul 2017 Changbo Fu, Xiaopeng Zhou, Xun Chen, Yunhua Chen, Xiangyi Cui, Deqing Fang, Karl Giboni, Franco Giuliani, Ke Han, Xingtao Huang, Xiangdong Ji, Yonglin Ju, Siao Lei, Shaoli Li, Huaxuan Liu, Jianglai Liu, Yugang Ma, Yajun Mao, Xiangxiang Ren, Andi Tan, Hongwei Wang, Jimin Wang, Meng Wang, Qiuhong Wang, Siguang Wang, Xuming Wang, Zhou Wang, Shiyong Wu, Mengjiao Xiao, Pengwei Xie, Binbin Yan, Yong Yang, Jianfeng Yue, Hongguang Zhang, Tao Zhang, Li Zhao, Ning Zhou

We report new searches for the solar axions and galactic axion-like dark matter particles, using the first low-background data from PandaX-II experiment at China Jinping Underground Laboratory, corresponding to a total exposure of about $2. 7\times 10^4$ kg$\cdot$day.

High Energy Physics - Experiment Solar and Stellar Astrophysics High Energy Physics - Phenomenology

Cannot find the paper you are looking for? You can Submit a new open access paper.