Search Results for author: Chi Xu

Found 16 papers, 2 papers with code

Gait Recognition from a Single Image using a Phase-Aware Gait Cycle Reconstruction Network

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.

Gait Recognition

Regularizing disparity estimation via multi task learning with structured light reconstruction

no code implementations19 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.

3D Reconstruction Disparity Estimation +1

Learning to Search for Job Shop Scheduling via Deep Reinforcement Learning

no code implementations20 Nov 2022 Cong Zhang, Wen Song, Zhiguang Cao, Jie Zhang, Puay Siew Tan, Chi Xu

Recent studies in using deep reinforcement learning (DRL) to solve Job-shop scheduling problems (JSSP) focus on construction heuristics.

Job Shop Scheduling reinforcement-learning +2

Attention over Self-attention:Intention-aware Re-ranking with Dynamic Transformer Encoders for Recommendation

no code implementations14 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.


COMET: Convolutional Dimension Interaction for Collaborative Filtering

no code implementations28 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.

Collaborative Filtering Representation Learning

GLIMG: Global and Local Item Graphs for Top-N Recommender Systems

no code implementations28 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.

Recommendation Systems

3D Human Shape Reconstruction from a Polarization Image

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.

Polarization Human Shape and Pose Dataset

no code implementations30 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.

Discovering Protagonist of Sentiment with Aspect Reconstructed Capsule Network

no code implementations23 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.

Sentiment Analysis

Multivariate Regression with Grossly Corrupted Observations: A Robust Approach and its Applications

no code implementations11 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.

Hand Pose Estimation regression

Learning to Search on Manifolds for 3D Pose Estimation of Articulated Objects

no code implementations2 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.

3D Pose Estimation Structured Prediction

Lie-X: Depth Image Based Articulated Object Pose Estimation, Tracking, and Action Recognition on Lie Groups

no code implementations13 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.

Action Recognition Pose Estimation +2

Hand Action Detection from Ego-centric Depth Sequences with Error-correcting Hough Transform

no code implementations7 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.

Action Detection Action Recognition +1

Mouse Pose Estimation From Depth Images

no code implementations24 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.

3D Pose Estimation

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