Search Results for author: Runzhou Ge

Found 9 papers, 2 papers with code

WOMD-LiDAR: Raw Sensor Dataset Benchmark for Motion Forecasting

no code implementations7 Apr 2023 Kan Chen, Runzhou Ge, Hang Qiu, Rami Ai-Rfou, Charles R. Qi, Xuanyu Zhou, Zoey Yang, Scott Ettinger, Pei Sun, Zhaoqi Leng, Mustafa Mustafa, Ivan Bogun, Weiyue Wang, Mingxing Tan, Dragomir Anguelov

To study the effect of these modular approaches, design new paradigms that mitigate these limitations, and accelerate the development of end-to-end motion forecasting models, we augment the Waymo Open Motion Dataset (WOMD) with large-scale, high-quality, diverse LiDAR data for the motion forecasting task.

Motion Forecasting

Real-Time Anchor-Free Single-Stage 3D Detection with IoU-Awareness

no code implementations29 Jul 2021 Runzhou Ge, Zhuangzhuang Ding, Yihan Hu, Wenxin Shao, Li Huang, Kun Li, Qiang Liu

Extended from our last year's award-winning model AFDet, we have made a handful of modifications to the base model, to improve the accuracy and at the same time to greatly reduce the latency.

Data Augmentation

1st Place Solution for Waymo Open Dataset Challenge -- 3D Detection and Domain Adaptation

no code implementations28 Jun 2020 Zhuangzhuang Ding, Yihan Hu, Runzhou Ge, Li Huang, Sijia Chen, Yu Wang, Jie Liao

We proposed a one-stage, anchor-free and NMS-free 3D point cloud object detector AFDet, using object key-points to encode the 3D attributes, and to learn an end-to-end point cloud object detection without the need of hand-engineering or learning the anchors.

Domain Adaptation object-detection +1

1st Place Solutions for Waymo Open Dataset Challenges -- 2D and 3D Tracking

no code implementations28 Jun 2020 Yu Wang, Sijia Chen, Li Huang, Runzhou Ge, Yihan Hu, Zhuangzhuang Ding, Jie Liao

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.

3D Multi-Object Tracking

AFDet: Anchor Free One Stage 3D Object Detection

6 code implementations23 Jun 2020 Runzhou Ge, Zhuangzhuang Ding, Yihan Hu, Yu Wang, Sijia Chen, Li Huang, Yuan Li

High-efficiency point cloud 3D object detection operated on embedded systems is important for many robotics applications including autonomous driving.

3D Object Detection Autonomous Driving +1

MAC: Mining Activity Concepts for Language-based Temporal Localization

3 code implementations21 Nov 2018 Runzhou Ge, Jiyang Gao, Kan Chen, Ram Nevatia

Previous methods address the problem by considering features from video sliding windows and language queries and learning a subspace to encode their correlation, which ignore rich semantic cues about activities in videos and queries.

Language-Based Temporal Localization

Motion-Appearance Co-Memory Networks for Video Question Answering

no code implementations CVPR 2018 Jiyang Gao, Runzhou Ge, Kan Chen, Ram Nevatia

Specifically, there are three salient aspects: (1) a co-memory attention mechanism that utilizes cues from both motion and appearance to generate attention; (2) a temporal conv-deconv network to generate multi-level contextual facts; (3) a dynamic fact ensemble method to construct temporal representation dynamically for different questions.

Question Answering Video Question Answering +1

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