96 citations · 181 across the 10 of their papers we have counts for
10 papers
MoST: Multi-modality Scene Tokenization for Motion Prediction
Norman Mu, Jingwei Ji, Zhenpei Yang +11
Many existing motion prediction approaches rely on symbolic perception outputs to generate agent trajectories, such as bounding boxes, road graph information and traffic lights. Th…
WOMD-LiDAR: Raw Sensor Dataset Benchmark for Motion Forecasting
Kan Chen, Runzhou Ge, Hang Qiu +12
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 th…
AFDetV2: Rethinking the Necessity of the Second Stage for Object Detection from Point Clouds
Yihan Hu, Zhuangzhuang Ding, Runzhou Ge +4
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 usuall…
Real-Time Anchor-Free Single-Stage 3D Detection with IoU-Awareness
Runzhou Ge, Zhuangzhuang Ding, Yihan Hu +4
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…
AFDet: Anchor Free One Stage 3D Object Detection
Runzhou Ge, Zhuangzhuang Ding, Yihan Hu +4
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 so…
2nd Place Solution for Waymo Open Dataset Challenge -- 2D Object Detection
Sijia Chen, Yu Wang, Li Huang +4
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 sys…
1st Place Solutions for Waymo Open Dataset Challenges -- 2D and 3D Tracking
Yu Wang, Sijia Chen, Li Huang +4
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 t…
1st Place Solution for Waymo Open Dataset Challenge -- 3D Detection and Domain Adaptation
Zhuangzhuang Ding, Yihan Hu, Runzhou Ge +4
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…
MAC: Mining Activity Concepts for Language-based Temporal Localization
Runzhou Ge, Jiyang Gao, Kan Chen +1
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…
Motion-Appearance Co-Memory Networks for Video Question Answering
Jiyang Gao, Runzhou Ge, Kan Chen +1
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:…