Search Results for author: Dongqiangzi Ye

Found 3 papers, 1 papers with code

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 +2

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

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