no code implementations • ECCV 2020 • Chi Xu, Yasushi Makihara, Xiang Li, Yasushi Yagi, Jianfeng Lu
Specifically, a phase estimation network is introduced for the input single image, and the gait cycle reconstruction network exploits the estimated phase to mitigate the dependence of an encoded feature on the phase of that single image.
2 code implementations • 2 May 2024 • Jianan Zhou, Zhiguang Cao, Yaoxin Wu, Wen Song, Yining Ma, Jie Zhang, Chi Xu
Learning to solve vehicle routing problems (VRPs) has garnered much attention.
no code implementations • 25 Feb 2024 • Mengen Luo, Chi Xu, Ercan Engin Kuruoglu
Performance degradation owing to data heterogeneity and low output interpretability are the most significant challenges faced by federated learning in practical applications.
Out of Distribution (OOD) Detection Personalized Federated Learning
no code implementations • 13 Nov 2023 • Wensi Hu, Quan-Xing Liu, Bo wang, Nuo Xu, Lijuan Cui, Chi Xu
Here we show that disordered hyperuniformity as a striking class of hidden orders can exist in spatially self-organized vegetation landscapes.
no code implementations • 22 Oct 2023 • Xiao Ma, Guang Zheng, Chi Xu, L. Monika Moskal, Peng Gong, Qinghua Guo, Huabing Huang, Xuecao Li, Yong Pang, Cheng Wang, Huan Xie, Bailang Yu, Bo Zhao, Yuyu Zhou
Our results revealed that the estimated method of building height samples based on the GEDI data was effective with 0. 78 of Pearson's r and 3. 67 m of RMSE in comparison to the reference data.
no code implementations • 22 Jun 2023 • Chao Shen, Wenkang Zhan, Kaiyao Xin, Manyang Li, Zhenyu Sun, Hui Cong, Chi Xu, Jian Tang, Zhaofeng Wu, Bo Xu, Zhongming Wei, Chunlai Xue, Chao Zhao, Zhanguo Wang
Self-assembled InAs/GaAs quantum dots (QDs) have properties highly valuable for developing various optoelectronic devices such as QD lasers and single photon sources.
no code implementations • 19 Jan 2023 • Alistair Weld, Joao Cartucho, Chi Xu, Joseph Davids, Stamatia Giannarou
Secondly, we \textcolor{black}{explore the use of a multi task learning (MTL) framework for the joint training of structured light and disparity.
3 code implementations • 17 Aug 2022 • Baoru Huang, Jian-Qing Zheng, Anh Nguyen, Chi Xu, Ioannis Gkouzionis, Kunal Vyas, David Tuch, Stamatia Giannarou, Daniel S. Elson
Depth estimation is a crucial step for image-guided intervention in robotic surgery and laparoscopic imaging system.
no code implementations • 14 Jan 2022 • Zhuoyi Lin, Sheng Zang, Rundong Wang, Zhu Sun, J. Senthilnath, Chi Xu, Chee-Keong Kwoh
We then introduce a dynamic transformer encoder (DTE) to capture user-specific inter-item relationships among item candidates by seamlessly accommodating the learned latent user intentions via IDM.
5 code implementations • NeurIPS 2020 • Cong Zhang, Wen Song, Zhiguang Cao, Jie Zhang, Puay Siew Tan, Chi Xu
Priority dispatching rule (PDR) is widely used for solving real-world Job-shop scheduling problem (JSSP).
no code implementations • 28 Jul 2020 • Zhuoyi Lin, Lei Feng, Rui Yin, Chi Xu, Chee-Keong Kwoh
We argue that recommendation on global and local graphs outperforms that on a single global graph or multiple local graphs.
no code implementations • 28 Jul 2020 • Zhuoyi Lin, Lei Feng, Xingzhi Guo, Yu Zhang, Rui Yin, Chee Keong Kwoh, Chi Xu
In this paper, we propose a novel representation learning-based model called COMET (COnvolutional diMEnsion inTeraction), which simultaneously models the high-order interaction patterns among historical interactions and embedding dimensions.
no code implementations • ECCV 2020 • Shihao Zou, Xinxin Zuo, Yiming Qian, Sen Wang, Chi Xu, Minglun Gong, Li Cheng
Inspired by the recent advances in human shape estimation from single color images, in this paper, we attempt at estimating human body shapes by leveraging the geometric cues from single polarization images.
no code implementations • 30 Apr 2020 • Shihao Zou, Xinxin Zuo, Yiming Qian, Sen Wang, Chuan Guo, Chi Xu, Minglun Gong, Li Cheng
Polarization images are known to be able to capture polarized reflected lights that preserve rich geometric cues of an object, which has motivated its recent applications in reconstructing detailed surface normal of the objects of interest.
no code implementations • 23 Dec 2019 • Chi Xu, Hao Feng, Guoxin Yu, Min Yang, Xiting Wang, Xiang Ao
In this paper, we aim to improve ATSA by discovering the potential aspect terms of the predicted sentiment polarity when the aspect terms of a test sentence are unknown.
no code implementations • 11 Jan 2017 • Xiaowei Zhang, Chi Xu, Yu Zhang, Tingshao Zhu, Li Cheng
The implementation of our approach and comparison methods as well as the involved datasets are made publicly available in support of the open-source and reproducible research initiatives.
no code implementations • 2 Dec 2016 • Yu Zhang, Chi Xu, Li Cheng
This paper focuses on the challenging problem of 3D pose estimation of a diverse spectrum of articulated objects from single depth images.
no code implementations • 13 Sep 2016 • Chi Xu, Lakshmi Narasimhan Govindarajan, Yu Zhang, Li Cheng
Pose estimation, tracking, and action recognition of articulated objects from depth images are important and challenging problems, which are normally considered separately.
no code implementations • 7 Jun 2016 • Chi Xu, Lakshmi Narasimhan Govindarajan, Li Cheng
Detecting hand actions from ego-centric depth sequences is a practically challenging problem, owing mostly to the complex and dexterous nature of hand articulations as well as non-stationary camera motion.
no code implementations • 24 Nov 2015 • Ashwin Nanjappa, Li Cheng, Wei Gao, Chi Xu, Adam Claridge-Chang, Zoe Bichler
We focus on the challenging problem of efficient mouse 3D pose estimation based on static images, and especially single depth images.