Search Results for author: Jianhui Chen

Found 17 papers, 9 papers with code

Root Causing Prediction Anomalies Using Explainable AI

no code implementations4 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.

Feature Correlation Feature Importance

When does In-context Learning Fall Short and Why? A Study on Specification-Heavy Tasks

no code implementations15 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.

In-Context Learning

MAVEN-Arg: Completing the Puzzle of All-in-One Event Understanding Dataset with Event Argument Annotation

1 code implementation15 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.

Event Argument Extraction Event Detection +3

Adapting Grad-CAM for Embedding Networks

1 code implementation17 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.

Image Captioning Image Classification

Pan-tilt-zoom SLAM for Sports Videos

1 code implementation20 Jul 2019 Jikai Lu, Jianhui Chen, James J. Little

Rays overcome the missing depth in pure-rotation cameras.

Pose Estimation

Sports Camera Calibration via Synthetic Data

3 code implementations25 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.

Camera Calibration Generative Adversarial Network +1

Learning Sports Camera Selection from Internet Videos

no code implementations8 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.

A Two-point Method for PTZ Camera Calibration in Sports

1 code implementation26 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.

Camera Calibration Vocal Bursts Valence Prediction

Backtracking Regression Forests for Accurate Camera Relocalization

1 code implementation22 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.

Camera Relocalization Loop Closure Detection +2

Learning Online Smooth Predictors for Realtime Camera Planning Using Recurrent Decision Trees

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).

Convex Factorization Machine for Regression

1 code implementation4 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).


Optimal Stochastic Strongly Convex Optimization with a Logarithmic Number of Projections

no code implementations19 Apr 2013 Jianhui Chen, Tianbao Yang, Qihang Lin, Lijun Zhang, Yi Chang

We consider stochastic strongly convex optimization with a complex inequality constraint.

Clustered Multi-Task Learning Via Alternating Structure Optimization

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.

Multi-Task Learning

Efficient Recovery of Jointly Sparse Vectors

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).

Compressive Sensing

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