no code implementations • 4 Mar 2024 • Ramanathan Vishnampet, Rajesh Shenoy, Jianhui Chen, Anuj Gupta
We have found this technique to be a model-agnostic, cheap and effective way to monitor complex data pipelines in production and have deployed a system for continuously analyzing the global feature importance distribution of continuously trained models.
1 code implementation • 15 Nov 2023 • Xiaozhi Wang, Hao Peng, Yong Guan, Kaisheng Zeng, Jianhui Chen, Lei Hou, Xu Han, Yankai Lin, Zhiyuan Liu, Ruobing Xie, Jie zhou, Juanzi Li
Understanding events in texts is a core objective of natural language understanding, which requires detecting event occurrences, extracting event arguments, and analyzing inter-event relationships.
no code implementations • 15 Nov 2023 • Hao Peng, Xiaozhi Wang, Jianhui Chen, Weikai Li, Yunjia Qi, Zimu Wang, Zhili Wu, Kaisheng Zeng, Bin Xu, Lei Hou, Juanzi Li
In this paper, we find that ICL falls short of handling specification-heavy tasks, which are tasks with complicated and extensive task specifications, requiring several hours for ordinary humans to master, such as traditional information extraction tasks.
1 code implementation • 15 Jun 2023 • Jifan Yu, Xiaozhi Wang, Shangqing Tu, Shulin Cao, Daniel Zhang-li, Xin Lv, Hao Peng, Zijun Yao, Xiaohan Zhang, Hanming Li, Chunyang Li, Zheyuan Zhang, Yushi Bai, Yantao Liu, Amy Xin, Nianyi Lin, Kaifeng Yun, Linlu Gong, Jianhui Chen, Zhili Wu, Yunjia Qi, Weikai Li, Yong Guan, Kaisheng Zeng, Ji Qi, Hailong Jin, Jinxin Liu, Yu Gu, Yuan YAO, Ning Ding, Lei Hou, Zhiyuan Liu, Bin Xu, Jie Tang, Juanzi Li
The unprecedented performance of large language models (LLMs) necessitates improvements in evaluations.
1 code implementation • ICCV 2021 • Yaroslava Lochman, Kostiantyn Liepieshov, Jianhui Chen, Michal Perdoch, Christopher Zach, James Pritts
A lot of the difficulties of general camera calibration lie in the use of a forward projection model.
1 code implementation • 17 Jan 2020 • Lei Chen, Jianhui Chen, Hossein Hajimirsadeghi, Greg Mori
Then, we develop an efficient weight-transfer method to explain decisions for any image without back-propagation.
1 code implementation • 20 Jul 2019 • Jikai Lu, Jianhui Chen, James J. Little
Rays overcome the missing depth in pure-rotation cameras.
3 code implementations • 25 Oct 2018 • Jianhui Chen, James J. Little
Here we propose a highly automatic method for calibrating sports cameras from a single image using synthetic data.
no code implementations • 8 Sep 2018 • Jianhui Chen, Keyu Lu, Sijia Tian, James J. Little
This work addresses camera selection, the task of predicting which camera should be "on air" from multiple candidate cameras for soccer broadcast.
1 code implementation • 26 Jan 2018 • Jianhui Chen, Fangrui Zhu, James J. Little
We also propose a fast random forest method to predict pan-tilt angles without image-to-image feature matching, leading to an efficient calibration method for new images.
1 code implementation • 22 Oct 2017 • Lili Meng, Jianhui Chen, Frederick Tung, James J. Little, Julien Valentin, Clarence W. de Silva
Camera relocalization plays a vital role in many robotics and computer vision tasks, such as global localization, recovery from tracking failure, and loop closure detection.
no code implementations • 29 Sep 2017 • Keyu Lu, Jianhui Chen, James J. Little, Hangen He
Vision based player detection is important in sports applications.
no code implementations • CVPR 2016 • Jianhui Chen, Hoang M. Le, Peter Carr, Yisong Yue, James J. Little
We study the problem of online prediction for realtime camera planning, where the goal is to predict smooth trajectories that correctly track and frame objects of interest (e. g., players in a basketball game).
1 code implementation • 4 Jul 2015 • Makoto Yamada, Wenzhao Lian, Amit Goyal, Jianhui Chen, Kishan Wimalawarne, Suleiman A. Khan, Samuel Kaski, Hiroshi Mamitsuka, Yi Chang
We propose the convex factorization machine (CFM), which is a convex variant of the widely used Factorization Machines (FMs).
no code implementations • 19 Apr 2013 • Jianhui Chen, Tianbao Yang, Qihang Lin, Lijun Zhang, Yi Chang
We consider stochastic strongly convex optimization with a complex inequality constraint.
no code implementations • NeurIPS 2011 • Jiayu Zhou, Jianhui Chen, Jieping Ye
We further establish the equivalence relationship between the proposed convex relaxation of CMTL and an existing convex relaxation of ASO, and show that the proposed convex CMTL formulation is significantly more efficient especially for high-dimensional data.
no code implementations • NeurIPS 2009 • Liang Sun, Jun Liu, Jianhui Chen, Jieping Ye
MMV is an extension of the single measurement vector (SMV) model employed in standard compressive sensing (CS).