132 citations · 274 across the 8 of their papers we have counts for
8 papers
Ego-InBetween: Generating Object State Transitions in Ego-Centric Videos
Mengmeng Ge, Takashi Isobe, Xu Jia +7
Understanding physical transformation processes is crucial for both human cognition and artificial intelligence systems, particularly from an egocentric perspective, which serves a…
Self-supervised Pre-training with Masked Shape Prediction for 3D Scene Understanding
Li Jiang, Zetong Yang, Shaoshuai Shi +3
Masked signal modeling has greatly advanced self-supervised pre-training for language and 2D images. However, it is still not fully explored in 3D scene understanding. Thus, this p…
A Unified Query-based Paradigm for Point Cloud Understanding
Zetong Yang, Li Jiang, Yanan Sun +2
3D point cloud understanding is an important component in autonomous driving and robotics. In this paper, we present a novel Embedding-Querying paradigm (EQ- Paradigm) for 3D under…
3D-MAN: 3D Multi-frame Attention Network for Object Detection
Zetong Yang, Yin Zhou, Zhifeng Chen +1
3D object detection is an important module in autonomous driving and robotics. However, many existing methods focus on using single frames to perform 3D detection, and do not fully…
CVPR 2019 WAD Challenge on Trajectory Prediction and 3D Perception
Sibo Zhang, Yuexin Ma, Ruigang Yang
This paper reviews the CVPR 2019 challenge on Autonomous Driving. Baidu's Robotics and Autonomous Driving Lab (RAL) providing 150 minutes labeled Trajectory and 3D Perception datas…
3DSSD: Point-based 3D Single Stage Object Detector
Zetong Yang, Yanan Sun, Shu Liu +1
Currently, there have been many kinds of voxel-based 3D single stage detectors, while point-based single stage methods are still underexplored. In this paper, we first present a li…
STD: Sparse-to-Dense 3D Object Detector for Point Cloud
Zetong Yang, Yanan Sun, Shu Liu +2
We present a new two-stage 3D object detection framework, named sparse-to-dense 3D Object Detector (STD). The first stage is a bottom-up proposal generation network that uses raw p…
IPOD: Intensive Point-based Object Detector for Point Cloud
Zetong Yang, Yanan Sun, Shu Liu +2
We present a novel 3D object detection framework, named IPOD, based on raw point cloud. It seeds object proposal for each point, which is the basic element. This paradigm provides…