Search Results for author: Dongqiangzi Ye

Found 5 papers, 1 papers with code

LPFormer: LiDAR Pose Estimation Transformer with Multi-Task Network

no code implementations21 Jun 2023 Dongqiangzi Ye, Yufei Xie, Weijia Chen, Zixiang Zhou, Lingting Ge, Hassan Foroosh

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 sequential 2D annotations.

3D Human Pose Estimation

LiDARFormer: A Unified Transformer-based Multi-task Network for LiDAR Perception

no code implementations21 Mar 2023 Zixiang Zhou, Dongqiangzi Ye, Weijia Chen, Yufei Xie, Yu Wang, Panqu Wang, Hassan Foroosh

The proposed LiDARFormer utilizes cross-space global contextual feature information and exploits cross-task synergy to boost the performance of LiDAR perception tasks across multiple large-scale datasets and benchmarks.

Multi-Task Learning Segmentation +1

LidarMultiNet: Towards a Unified Multi-Task Network for LiDAR Perception

no code implementations19 Sep 2022 Dongqiangzi Ye, Zixiang Zhou, Weijia Chen, Yufei Xie, Yu Wang, Panqu Wang, Hassan Foroosh

LidarMultiNet is extensively tested on both Waymo Open Dataset and nuScenes dataset, demonstrating for the first time that major LiDAR perception tasks can be unified in a single strong network that is trained end-to-end and achieves state-of-the-art performance.

3D Object Detection 3D Semantic Segmentation +3

LQ-Nets: Learned Quantization for Highly Accurate and Compact Deep Neural Networks

1 code implementation ECCV 2018 Dongqing Zhang, Jiaolong Yang, Dongqiangzi Ye, Gang Hua

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 bit-operations, there is still a noticeable gap in terms of prediction accuracy between the quantized model and the full-precision model.

Quantization

Cannot find the paper you are looking for? You can Submit a new open access paper.