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06/15/2023
KoLA: Carefully Benchmarking World Knowledge of Large Language Models
The unprecedented performance of large language models (LLMs) necessitat...
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09/20/2021
BabelCalib: A Universal Approach to Calibrating Central Cameras
Existing calibration methods occasionally fail for large field-of-view c...
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01/17/2020
Adapting Grad-CAM for Embedding Networks
The gradient-weighted class activation mapping (Grad-CAM) method can fai...
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07/20/2019
Pan-tilt-zoom SLAM for Sports Videos
We present an online SLAM system specifically designed to track pan-tilt...
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10/25/2018
Sports Camera Calibration via Synthetic Data
Calibrating sports cameras is important for autonomous broadcasting and ...
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09/08/2018
Learning Sports Camera Selection from Internet Videos
This work addresses camera selection, the task of predicting which camer...
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01/26/2018
A Two-point Method for PTZ Camera Calibration in Sports
Calibrating narrow field of view soccer cameras is challenging because t...
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10/22/2017
Backtracking Regression Forests for Accurate Camera Relocalization
Camera relocalization plays a vital role in many robotics and computer v...
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09/29/2017
Light Cascaded Convolutional Neural Networks for Accurate Player Detection
Vision based player detection is important in sports applications. Accur...
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07/04/2015
Convex Factorization Machine for Regression
We propose the convex factorization machine (CFM), which is a convex var...
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04/19/2013
Optimal Stochastic Strongly Convex Optimization with a Logarithmic Number of Projections
We consider stochastic strongly convex optimization with a complex inequ...
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06/02/2012
