FusionFormer: A Multi-sensory Fusion in Bird's-Eye-View and Temporal Consistent Transformer for 3D Object Detection

no code implementations • 11 Sep 2023 • Chunyong Hu, Hang Zheng, Kun Li, Jianyun Xu, Weibo Mao, Maochun Luo, Lingxuan Wang, Mingxia Chen, Qihao Peng, Kaixuan Liu, Yiru Zhao, Peihan Hao, Minzhe Liu, Kaicheng Yu

Multi-sensor modal fusion has demonstrated strong advantages in 3D object detection tasks.

3D Object Detection Autonomous Driving +3

INT: Towards Infinite-frames 3D Detection with An Efficient Framework

1 code implementation • 30 Sep 2022 • Jianyun Xu, Zhenwei Miao, Da Zhang, Hongyu Pan, Kaixuan Liu, Peihan Hao, Jun Zhu, Zhengyang Sun, Hongmin Li, Xin Zhan

By employing INT on CenterPoint, we can get around 7% (Waymo) and 15% (nuScenes) performance boost with only 2~4ms latency overhead, and currently SOTA on the Waymo 3D Detection leaderboard.

Convolutional Neural Networks with A Topographic Representation Module for EEG-Based Brain-Computer Interfaces

no code implementations • 23 Aug 2022 • Xinbin Liang, Yaru Liu, Yang Yu, Kaixuan Liu, Yadong Liu, Zongtan Zhou

Significance: We improve the classification performance of 3 CNNs on 2 datasets by the use of TRM, indicating that it has the capability to mine the EEG spatial topological information.

Classification EEG

PVGNet: A Bottom-Up One-Stage 3D Object Detector With Integrated Multi-Level Features

no code implementations • CVPR 2021 • Zhenwei Miao, Jikai Chen, Hongyu Pan, Ruiwen Zhang, Kaixuan Liu, Peihan Hao, Jun Zhu, Yang Wang, Xin Zhan

Quantization-based methods are widely used in LiDAR points 3D object detection for its efficiency in extracting context information.

3D Object Detection Object +2