Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Ge, Runzhou"'
Autor:
Mu, Norman, Ji, Jingwei, Yang, Zhenpei, Harada, Nate, Tang, Haotian, Chen, Kan, Qi, Charles R., Ge, Runzhou, Goel, Kratarth, Yang, Zoey, Ettinger, Scott, Al-Rfou, Rami, Anguelov, Dragomir, Zhou, Yin
Many existing motion prediction approaches rely on symbolic perception outputs to generate agent trajectories, such as bounding boxes, road graph information and traffic lights. This symbolic representation is a high-level abstraction of the real wor
Externí odkaz:
http://arxiv.org/abs/2404.19531
Autor:
Chen, Kan, Ge, Runzhou, Qiu, Hang, AI-Rfou, Rami, Qi, Charles R., Zhou, Xuanyu, Yang, Zoey, Ettinger, Scott, Sun, Pei, Leng, Zhaoqi, Baniodeh, Mustafa, Bogun, Ivan, Wang, Weiyue, Tan, Mingxing, Anguelov, Dragomir
Widely adopted motion forecasting datasets substitute the observed sensory inputs with higher-level abstractions such as 3D boxes and polylines. These sparse shapes are inferred through annotating the original scenes with perception systems' predicti
Externí odkaz:
http://arxiv.org/abs/2304.03834
There have been two streams in the 3D detection from point clouds: single-stage methods and two-stage methods. While the former is more computationally efficient, the latter usually provides better detection accuracy. By carefully examining the two-s
Externí odkaz:
http://arxiv.org/abs/2112.09205
In this report, we introduce our winning solution to the Real-time 3D Detection and also the "Most Efficient Model" in the Waymo Open Dataset Challenges at CVPR 2021. Extended from our last year's award-winning model AFDet, we have made a handful of
Externí odkaz:
http://arxiv.org/abs/2107.14342
A practical autonomous driving system urges the need to reliably and accurately detect vehicles and persons. In this report, we introduce a state-of-the-art 2D object detection system for autonomous driving scenarios. Specifically, we integrate both
Externí odkaz:
http://arxiv.org/abs/2006.15507
This technical report presents the online and real-time 2D and 3D multi-object tracking (MOT) algorithms that reached the 1st places on both Waymo Open Dataset 2D tracking and 3D tracking challenges. An efficient and pragmatic online tracking-by-dete
Externí odkaz:
http://arxiv.org/abs/2006.15506
In this technical report, we introduce our winning solution "HorizonLiDAR3D" for the 3D detection track and the domain adaptation track in Waymo Open Dataset Challenge at CVPR 2020. Many existing 3D object detectors include prior-based anchor box des
Externí odkaz:
http://arxiv.org/abs/2006.15505
High-efficiency point cloud 3D object detection operated on embedded systems is important for many robotics applications including autonomous driving. Most previous works try to solve it using anchor-based detection methods which come with two drawba
Externí odkaz:
http://arxiv.org/abs/2006.12671
We address the problem of language-based temporal localization in untrimmed videos. Compared to temporal localization with fixed categories, this problem is more challenging as the language-based queries not only have no pre-defined activity list but
Externí odkaz:
http://arxiv.org/abs/1811.08925
Video Question Answering (QA) is an important task in understanding video temporal structure. We observe that there are three unique attributes of video QA compared with image QA: (1) it deals with long sequences of images containing richer informati
Externí odkaz:
http://arxiv.org/abs/1803.10906