| zhengthomastang/2018AICity_TeamUW |
260 |
|
0 |
0 |
almost 6 years ago |
0 |
|
14 |
|
C |
| The winning method in Track 1 and Track 3 at the 2nd AI City Challenge Workshop in CVPR 2018 - Official Implementation |
| ngchc/CameraSR |
122 |
|
0 |
0 |
almost 7 years ago |
0 |
|
5 |
mit |
Python |
| Camera Lens Super-Resolution in CVPR 2019 |
| KevinQian97/ELECTRICITY-MTMC |
17 |
|
0 |
0 |
over 5 years ago |
0 |
|
1 |
other |
Python |
| ELECTRICITY: An Efficient Multi-camera Vehicle Tracking System for Intelligent City(CVPR 2020 AI City Challenge Track 3) |
| Lijun-Yu/zero_virus |
14 |
|
0 |
0 |
about 5 years ago |
0 |
|
1 |
other |
Python |
| Zero-VIRUS: Zero-shot VehIcle Route Understanding System for Intelligent Transportation (CVPR 2020 AI City Challenge Track 1) |
| samarth-robo/deepnav_cvpr17 |
11 |
|
0 |
0 |
about 6 years ago |
0 |
|
0 |
|
C++ |
| Code and models for the CVPR 2017 paper "DeepNav: Learning to Navigate Large Cities" |
| ipl-uw/2019-CVPR-AIC-Track-3-UWIPL |
8 |
|
0 |
0 |
almost 7 years ago |
0 |
|
1 |
|
Python |
| Repository for 2019 CVPR AI City Challenge Track 3 from IPL@UW |
| yrims/AIC19 |
6 |
|
0 |
0 |
almost 6 years ago |
0 |
|
3 |
mit |
Python |
| AI City Challenge Workshop at CVPR 2019 - Track 1 |
