no code implementations • ACL (RepL4NLP) 2021 • Xiaoyan Li, Sun Sun, Yunli Wang
We propose a novel text style transfer algorithm with entangled latent representation, and introduce a style classifier that can regulate the latent structure and transfer style.
no code implementations • 5 Mar 2024 • Jiawei Hou, Xiaoyan Li, Wenhao Guan, Gang Zhang, Di Feng, Yuheng Du, xiangyang xue, Jian Pu
In autonomous driving, 3D occupancy prediction outputs voxel-wise status and semantic labels for more comprehensive understandings of 3D scenes compared with traditional perception tasks, such as 3D object detection and bird's-eye view (BEV) semantic segmentation.
no code implementations • 24 Feb 2024 • Fanjin Zhang, Shijie Shi, Yifan Zhu, Bo Chen, Yukuo Cen, Jifan Yu, Yelin Chen, Lulu Wang, Qingfei Zhao, Yuqing Cheng, Tianyi Han, Yuwei An, Dan Zhang, Weng Lam Tam, Kun Cao, Yunhe Pang, Xinyu Guan, Huihui Yuan, Jian Song, Xiaoyan Li, Yuxiao Dong, Jie Tang
We envisage that OAG-Bench can serve as a common ground for the community to evaluate and compare algorithms in academic graph mining, thereby accelerating algorithm development and advancement in this field.
1 code implementation • CVPR 2023 • Xiaoyan Li, Gang Zhang, Boyue Wang, Yongli Hu, BaoCai Yin
LiDAR panoptic segmentation facilitates an autonomous vehicle to comprehensively understand the surrounding objects and scenes and is required to run in real time.
1 code implementation • 23 Feb 2023 • Bo Chen, Jing Zhang, Fanjin Zhang, Tianyi Han, Yuqing Cheng, Xiaoyan Li, Yuxiao Dong, Jie Tang
The toolkit is at https://github. com/THUDM/WhoIsWho.
no code implementations • 1 Dec 2022 • Liyu Shi, Xiaoyan Li, Weiming Hu, HaoYuan Chen, Jing Chen, Zizhen Fan, Minghe Gao, Yujie Jing, Guotao Lu, Deguo Ma, Zhiyu Ma, Qingtao Meng, Dechao Tang, Hongzan Sun, Marcin Grzegorzek, Shouliang Qi, Yueyang Teng, Chen Li
Methods: This present study provided a new publicly available Enteroscope Biopsy Histopathological Hematoxylin and Eosin Image Dataset for Image Segmentation Tasks (EBHI-Seg).
1 code implementation • 1 Nov 2022 • John C. Baez, Xiaoyan Li, Sophie Libkind, Nathaniel D. Osgood, Eric Redekopp
Stock and flow diagrams are already an important tool in epidemiology, but category theory lets us go further and treat these diagrams as mathematical entities in their own right.
no code implementations • 7 Jun 2022 • HaoYuan Chen, Chen Li, Xiaoyan Li, Md Mamunur Rahaman, Weiming Hu, Yixin Li, Wanli Liu, Changhao Sun, Hongzan Sun, Xinyu Huang, Marcin Grzegorzek
In addition, we conducted an ablation experiment and an interchangeability experiment to verify the ability and interchangeability of the three channels.
no code implementations • 25 May 2022 • Weiming Hu, HaoYuan Chen, Wanli Liu, Xiaoyan Li, Hongzan Sun, Xinyu Huang, Marcin Grzegorzek, Chen Li
Ensemble learning is a way to improve the accuracy of algorithms, and finding multiple learning models with complementarity types is the basis of ensemble learning.
no code implementations • 17 May 2022 • Haiqing Zhang, Chen Li, Shiliang Ai, HaoYuan Chen, Yuchao Zheng, Yixin Li, Xiaoyan Li, Hongzan Sun, Xinyu Huang, Marcin Grzegorzek
The gold standard for gastric cancer detection is gastric histopathological image analysis, but there are certain drawbacks in the existing histopathological detection and diagnosis.
Histopathological Image Classification Image Classification +3
3 code implementations • 21 Apr 2022 • Xiaoyan Li, Gang Zhang, Hongyu Pan, Zhenhua Wang
LiDAR semantic segmentation essential for advanced autonomous driving is required to be accurate, fast, and easy-deployed on mobile platforms.
Ranked #12 on Robust 3D Semantic Segmentation on SemanticKITTI-C
no code implementations • 18 Apr 2022 • Yuchao Zheng, Chen Li, Xiaomin Zhou, HaoYuan Chen, Hao Xu, Yixin Li, Haiqing Zhang, Xiaoyan Li, Hongzan Sun, Xinyu Huang, Marcin Grzegorzek
Method: This paper proposes a deep ensemble model based on image-level labels for the binary classification of benign and malignant lesions of breast histopathological images.
no code implementations • 17 Feb 2022 • Weiming Hu, Chen Li, Xiaoyan Li, Md Mamunur Rahaman, Yong Zhang, HaoYuan Chen, Wanli Liu, YuDong Yao, Hongzan Sun, Ning Xu, Xinyu Huang, Marcin Grzegorze
Traditional machine learning methods achieve maximum accuracy of 76. 02% and deep learning method achieves a maximum accuracy of 95. 37%.
no code implementations • 21 Jan 2022 • Xiaoqi Li, HaoYuan Chen, Chen Li, Md Mamunur Rahaman, Xintong Li, Jian Wu, Xiaoyan Li, Hongzan Sun, Marcin Grzegorzek
In the past ten years, the computing power of machine vision (MV) has been continuously improved, and image analysis algorithms have developed rapidly.
no code implementations • 19 Nov 2021 • Jiaxin Cao, Xiaoyan Li
In the proposed SEHybridSN model, a dense block was used to reuse shallow feature and aimed at better exploiting hierarchical spatial spectral feature.
1 code implementation • 4 Jun 2021 • Weiming Hu, Chen Li, Xiaoyan Li, Md Mamunur Rahaman, Jiquan Ma, Yong Zhang, HaoYuan Chen, Wanli Liu, Changhao Sun, YuDong Yao, Hongzan Sun, Marcin Grzegorzek
In order to prove that the methods of different periods in the field of image classification have discrepancies on GasHisSDB, we select a variety of classifiers for evaluation.
no code implementations • 29 Apr 2021 • HaoYuan Chen, Chen Li, Ge Wang, Xiaoyan Li, Md Rahaman, Hongzan Sun, Weiming Hu, Yixin Li, Wanli Liu, Changhao Sun, Shiliang Ai, Marcin Grzegorzek
In this paper, a multi-scale visual transformer model, referred as GasHis-Transformer, is proposed for Gastric Histopathological Image Detection (GHID), which enables the automatic global detection of gastric cancer images.
no code implementations • 13 Apr 2021 • Xintong Li, Weiming Hu, Chen Li, Tao Jiang, Hongzan Sun, Xiaoyan Li, Xinyu Huang, Marcin Grzegorzek
Finally, the application prospect of the analytical method in this field is discussed.
no code implementations • 24 Feb 2021 • Md Mamunur Rahaman, Chen Li, YuDong Yao, Frank Kulwa, Xiangchen Wu, Xiaoyan Li, Qian Wang
Pap smear test is a widely performed screening technique for early detection of cervical cancer, whereas this manual screening method suffers from high false-positive results because of human errors.
no code implementations • 21 Feb 2021 • Chen Li, Xintong Li, Md Rahaman, Xiaoyan Li, Hongzan Sun, Hong Zhang, Yong Zhang, Xiaoqi Li, Jian Wu, YuDong Yao, Marcin Grzegorzek
This paper reviews the methods of WSI analysis based on machine learning.
no code implementations • 21 Feb 2021 • Yixin Li, Xinran Wu, Chen Li, Changhao Sun, Md Rahaman, HaoYuan Chen, YuDong Yao, Xiaoyan Li, Yong Zhang, Tao Jiang
The HCRF-AM model consists of an Attention Mechanism (AM) module and an Image Classification (IC) module.
no code implementations • 21 Nov 2020 • Xiaoyan Li, Georg Haberfehlner, Ulrich Hohenester, Odile Stéphan, Gerald Kothleitner, Mathieu Kociak
While phonons and their related properties have been studied comprehensively in bulk materials, a thorough understanding of surface phonons for nanoscale objects remains elusive.
Instrumentation and Detectors Materials Science
no code implementations • 29 Sep 2020 • Yixin Li, Chen Li, Xiaoyan Li, Kai Wang, Md Mamunur Rahaman, Changhao Sun, Hao Chen, Xinran Wu, Hong Zhang, Qian Wang
In this review, we present a comprehensive overview of pathology image analysis based on the markov random fields (MRFs) and conditional random fields (CRFs), which are two popular random field models.
no code implementations • 27 Mar 2020 • Xiaomin Zhou, Chen Li, Md Mamunur Rahaman, Yu-Dong Yao, Shiliang Ai, Changhao Sun, Xiaoyan Li, Qian Wang, Tao Jiang
Breast cancer is one of the most common and deadliest cancers among women.
no code implementations • 3 Mar 2020 • Changhao Sun, Chen Li, Jinghua Zhang, Muhammad Rahaman, Shiliang Ai, Hao Chen, Frank Kulwa, Yixin Li, Xiaoyan Li, Tao Jiang
This HCRF model is built up with higher order potentials, including pixel-level and patch-level potentials, and graph-based post-processing is applied to further improve its segmentation performance.
1 code implementation • 4 Feb 2020 • Etienne Monier, Thomas Oberlin, Nathalie Brun, Xiaoyan Li, Marcel Tencé, Nicolas Dobigeon
Besides, among the methods proposed in the microscopy literature, some are fast but inaccurate while others provide accurate reconstruction but at the price of a high computation burden.
no code implementations • 25 Sep 2019 • Xiaoyan Li, Iluju Kiringa, Tet Yeap, Xiaodan Zhu, Yifeng Li
Identifying anomalous samples from highly complex and unstructured data is a crucial but challenging task in a variety of intelligent systems.
1 code implementation • 15 Jul 2019 • Xiaoyan Li, Iluju Kiringa, Tet Yeap, Xiaodan Zhu, Yifeng Li
In this paper, we develop and explore deep anomaly detection techniques based on the capsule network (CapsNet) for image data.
no code implementations • ICCV 2019 • Xiaoyan Li, Meina Kan, Shiguang Shan, Xilin Chen
Weakly supervised object detection aims at learning precise object detectors, given image category labels.
no code implementations • 11 Aug 2014 • Xiaoyan Li, DaCheng Tao
Editing faces in videos is a popular yet challenging aspect of computer vision and graphics, which encompasses several applications including facial attractiveness enhancement, makeup transfer, face replacement, and expression manipulation.