no code implementations • 15 Feb 2024 • Siyi Chen, Amir H. Kashani, Ji Yi
The morphology and hierarchy of the vascular systems are essential for perfusion in supporting metabolism.
no code implementations • 19 Feb 2023 • Patrick C. Kinnunen, Siddhartha Srivastava, Zhenlin Wang, Kenneth K. Y. Ho, Brock A. Humphries, Siyi Chen, Jennifer J. Linderman, Gary D. Luker, Kathryn E. Luker, Krishna Garikipati
Targeting signaling pathways that drive cancer cell migration or proliferation is a common therapeutic approach.
no code implementations • CVPR 2022 • Shengyi Qian, Linyi Jin, Chris Rockwell, Siyi Chen, David F. Fouhey
We propose to investigate detecting and characterizing the 3D planar articulation of objects from ordinary videos.
no code implementations • 24 Jun 2021 • Yubo Shi, Meiqi Wang, Siyi Chen, Jinghe Wei, Zhongfeng Wang
To achieve higher accuracy in machine learning tasks, very deep convolutional neural networks (CNNs) are designed recently.
no code implementations • 16 Nov 2020 • Yi Luo, Siyi Chen, X. -G. Ma
This work presented a new drone-based face detection dataset Drone LAMS in order to solve issues of low performance of drone-based face detection in scenarios such as large angles which was a predominant working condition when a drone flies high.
no code implementations • 7 May 2020 • Codruta O. Ancuti, Cosmin Ancuti, Florin-Alexandru Vasluianu, Radu Timofte, Jing Liu, Haiyan Wu, Yuan Xie, Yanyun Qu, Lizhuang Ma, Ziling Huang, Qili Deng, Ju-Chin Chao, Tsung-Shan Yang, Peng-Wen Chen, Po-Min Hsu, Tzu-Yi Liao, Chung-En Sun, Pei-Yuan Wu, Jeonghyeok Do, Jongmin Park, Munchurl Kim, Kareem Metwaly, Xuelu Li, Tiantong Guo, Vishal Monga, Mingzhao Yu, Venkateswararao Cherukuri, Shiue-Yuan Chuang, Tsung-Nan Lin, David Lee, Jerome Chang, Zhan-Han Wang, Yu-Bang Chang, Chang-Hong Lin, Yu Dong, Hong-Yu Zhou, Xiangzhen Kong, Sourya Dipta Das, Saikat Dutta, Xuan Zhao, Bing Ouyang, Dennis Estrada, Meiqi Wang, Tianqi Su, Siyi Chen, Bangyong Sun, Vincent Whannou de Dravo, Zhe Yu, Pratik Narang, Aryan Mehra, Navaneeth Raghunath, Murari Mandal
We focus on the proposed solutions and their results evaluated on NH-Haze, a novel dataset consisting of 55 pairs of real haze free and nonhomogeneous hazy images recorded outdoor.