no code implementations • 11 Mar 2024 • Yufei Xie
The results of this study underscore the potential of composite models in achieving robust human action recognition and suggest avenues for future research in optimizing these models for real-world deployment.
no code implementations • 13 Jul 2023 • Yufei Xie, Rodolfo C. Raga Jr
This study addressed the complex task of sentiment analysis on a dataset of 119, 988 original tweets from Weibo using a Convolutional Neural Network (CNN), offering a new approach to Natural Language Processing (NLP).
no code implementations • 21 Jun 2023 • Dongqiangzi Ye, Yufei Xie, Weijia Chen, Zixiang Zhou, Lingting Ge, Hassan Foroosh
Due to the difficulty of acquiring large-scale 3D human keypoint annotation, previous methods for 3D human pose estimation (HPE) have often relied on 2D image features and sequential 2D annotations.
no code implementations • 23 May 2023 • Yufei Xie, Shaoman Li, Penghui Lin
This dissertation presents a methodology for recording speed climbing training sessions with multiple cameras and annotating the videos with relevant data, including body position, hand and foot placement, and timing.
no code implementations • 21 Mar 2023 • Zixiang Zhou, Dongqiangzi Ye, Weijia Chen, Yufei Xie, Yu Wang, Panqu Wang, Hassan Foroosh
The proposed LiDARFormer utilizes cross-space global contextual feature information and exploits cross-task synergy to boost the performance of LiDAR perception tasks across multiple large-scale datasets and benchmarks.
no code implementations • 14 Dec 2022 • Yufei Xie, Jing Cui, Mengdie Wang
With the development of China's economy and society, the importance of "craftsman's spirit" has become more and more prominent.
no code implementations • 12 Dec 2022 • Yufei Xie, Xiang Liu, Qizhong Yuan
Based on the practical process of innovation and entrepreneurship education for college students in the author's university, this study analyzes and deconstructs the key concepts of AI knowledge-based crowdsourcing on the basis of literature research, and analyzes the objective fitting needs of combining AI knowledge-based crowdsourcing with college students' innovation and entrepreneurship education practice through a survey and research of a random sample of college students, and verifies that college students' knowledge and application of AI knowledge-based crowdsourcing in the learning and practice of innovation and entrepreneurship The study also verifies the awareness and application of AI knowledge-based crowdsourcing knowledge by university students in the learning and practice of innovation and entrepreneurship.
no code implementations • 19 Sep 2022 • Dongqiangzi Ye, Zixiang Zhou, Weijia Chen, Yufei Xie, Yu Wang, Panqu Wang, Hassan Foroosh
LidarMultiNet is extensively tested on both Waymo Open Dataset and nuScenes dataset, demonstrating for the first time that major LiDAR perception tasks can be unified in a single strong network that is trained end-to-end and achieves state-of-the-art performance.
no code implementations • 23 Jun 2022 • Dongqiangzi Ye, Weijia Chen, Zixiang Zhou, Yufei Xie, Yu Wang, Panqu Wang, Hassan Foroosh
This technical report presents the 1st place winning solution for the Waymo Open Dataset 3D semantic segmentation challenge 2022.
no code implementations • SEMEVAL 2018 • Yufei Xie, Qingqing Song
The advent of social media has brought along a novel way of communication where meaning is composed by combining short text messages and visual enhancements, the so-called emojis.
no code implementations • SEMEVAL 2017 • Yufei Xie, Maoquan Wang, Jing Ma, Jian Jiang, Zhao Lu
In the main Subtask C, our primary submission was ranked fourth, with a MAP of 13. 48 and accuracy of 97. 08.
no code implementations • SEMEVAL 2017 • Maoquan Wang, Shiyun Chen, Yufei Xie, Lu Zhao
This paper describes our approach for SemEval-2017 Task 4 - Sentiment Analysis in Twitter (SAT).