no code implementations • 22 Mar 2023 • Guoliang You, Xiaomeng Chu, Yifan Duan, Jie Peng, Jianmin Ji, Yu Zhang, Yanyong Zhang
In particular, we specify a prompt-transformer for representation conversion and propose a two-step training process to train the prompt-transformer for the target environment, while the rest of the DRL pipeline remains unchanged.
no code implementations • 13 Jan 2023 • Xiaomeng Chu, Jiajun Deng, Yuan Zhao, Jianmin Ji, Yu Zhang, Houqiang Li, Yanyong Zhang
To this end, we propose OA-BEV, a network that can be plugged into the BEV-based 3D object detection framework to bring out the objects by incorporating object-aware pseudo-3D features and depth features.
1 code implementation • 7 Nov 2022 • Yi Zhai, Yu Zhang, Shuo Liu, Xiaomeng Chu, Jie Peng, Jianmin Ji, Yanyong Zhang
Instead of extracting features from the tensor program itself, TLP extracts features from the schedule primitives.
1 code implementation • 6 Jul 2021 • Xiaomeng Chu, Jiajun Deng, Yao Li, Zhenxun Yuan, Yanyong Zhang, Jianmin Ji, Yu Zhang
As cameras are increasingly deployed in new application domains such as autonomous driving, performing 3D object detection on monocular images becomes an important task for visual scene understanding.