Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
2104.12056
Cited By
v1
v2 (latest)
Swimmer Stroke Rate Estimation From Overhead Race Video
25 April 2021
Timothy Woinoski
Ivan V. Bajić
Re-assign community
ArXiv (abs)
PDF
HTML
Papers citing
"Swimmer Stroke Rate Estimation From Overhead Race Video"
8 / 8 papers shown
Title
Towards Automated Swimming Analytics Using Deep Neural Networks
Timothy Woinoski
Alon Harell
Ivan V. Bajić
32
11
0
13 Jan 2020
YOLOv3: An Incremental Improvement
Joseph Redmon
Ali Farhadi
ObjD
128
21,482
0
08 Apr 2018
Continuous Video to Simple Signals for Swimming Stroke Detection with Convolutional Neural Networks
Brandon Victor
Zhen He
Stuart Morgan
Dino Miniutti
34
30
0
28 May 2017
Performance Measures and a Data Set for Multi-Target, Multi-Camera Tracking
Ergys Ristani
Francesco Solera
Roger S. Zou
Rita Cucchiara
Carlo Tomasi
88
2,616
0
06 Sep 2016
Simple Online and Realtime Tracking
Alex Bewley
Zongyuan Ge
Lionel Ott
F. Ramos
B. Upcroft
VOT
86
3,102
0
02 Feb 2016
SSD: Single Shot MultiBox Detector
Wen Liu
Dragomir Anguelov
D. Erhan
Christian Szegedy
Scott E. Reed
Cheng-Yang Fu
Alexander C. Berg
ObjD
BDL
244
29,859
0
08 Dec 2015
MOTChallenge 2015: Towards a Benchmark for Multi-Target Tracking
Laura Leal-Taixé
Anton Milan
Ian Reid
Stefan Roth
Konrad Schindler
VOT
74
817
0
08 Apr 2015
Rich feature hierarchies for accurate object detection and semantic segmentation
Ross B. Girshick
Jeff Donahue
Trevor Darrell
Jitendra Malik
ObjD
289
26,211
0
11 Nov 2013
1