43 citations · 59 across the 6 of their papers we have counts for
6 papers
Efficient Visual Question Answering Pipeline for Autonomous Driving via Scene Region Compression
Yuliang Cai, Dongqiangzi Ye, Zitian Chen +1
Autonomous driving increasingly relies on Visual Question Answering (VQA) to enable vehicles to understand complex surroundings by analyzing visual inputs and textual queries. Curr…
LPFormer: LiDAR Pose Estimation Transformer with Multi-Task Network
Dongqiangzi Ye, Yufei Xie, Weijia Chen +3
Due to the difficulty of acquiring large-scale 3D human keypoint annotation, previous methods for 3D human pose estimation (HPE) have often relied on 2D image features and sequenti…
LiDARFormer: A Unified Transformer-based Multi-task Network for LiDAR Perception
Zixiang Zhou, Dongqiangzi Ye, Weijia Chen +4
There is a recent trend in the LiDAR perception field towards unifying multiple tasks in a single strong network with improved performance, as opposed to using separate networks fo…
LidarMultiNet: Towards a Unified Multi-Task Network for LiDAR Perception
Dongqiangzi Ye, Zixiang Zhou, Weijia Chen +4
LiDAR-based 3D object detection, semantic segmentation, and panoptic segmentation are usually implemented in specialized networks with distinctive architectures that are difficult…
LidarMultiNet: Unifying LiDAR Semantic Segmentation, 3D Object Detection, and Panoptic Segmentation in a Single Multi-task Network
Dongqiangzi Ye, Weijia Chen, Zixiang Zhou +4
This technical report presents the 1st place winning solution for the Waymo Open Dataset 3D semantic segmentation challenge 2022. Our network, termed LidarMultiNet, unifies the maj…
LQ-Nets: Learned Quantization for Highly Accurate and Compact Deep Neural Networks
Dongqing Zhang, Jiaolong Yang, Dongqiangzi Ye +1
Although weight and activation quantization is an effective approach for Deep Neural Network (DNN) compression and has a lot of potentials to increase inference speed leveraging bi…