Search Results for author: Mingyu Gao

Found 8 papers, 5 papers with code

KAPLA: Pragmatic Representation and Fast Solving of Scalable NN Accelerator Dataflow

no code implementations9 Jun 2023 Zhiyao Li, Mingyu Gao

We then build a generic, optimized, and fast dataflow solver, KAPLA, which makes use of the pragmatic directives to explore the design space with effective validity check and efficiency estimation.

Scheduling

OSP2B: One-Stage Point-to-Box Network for 3D Siamese Tracking

2 code implementations23 Apr 2023 Jiahao Nie, Zhiwei He, Yuxiang Yang, Zhengyi Bao, Mingyu Gao, Jing Zhang

By integrating the derived classification scores with the center-ness scores, the resulting network can effectively suppress interference proposals and further mitigate task misalignment.

3D Single Object Tracking Object Tracking

Canvas: End-to-End Kernel Architecture Search in Neural Networks

1 code implementation16 Apr 2023 Chenggang Zhao, Genghan Zhang, Mingyu Gao

KAS reviews NAS from a system perspective and zooms into a more fine-grained level to generate neural kernels with both high performance and good accuracy.

Neural Architecture Search

GLT-T++: Global-Local Transformer for 3D Siamese Tracking with Ranking Loss

1 code implementation1 Apr 2023 Jiahao Nie, Zhiwei He, Yuxiang Yang, Xudong Lv, Mingyu Gao, Jing Zhang

Incorporating this transformer-based voting scheme into 3D RPN, a novel Siamese method dubbed GLT-T is developed for 3D single object tracking on point clouds.

3D Single Object Tracking Object Tracking +1

GLT-T: Global-Local Transformer Voting for 3D Single Object Tracking in Point Clouds

2 code implementations20 Nov 2022 Jiahao Nie, Zhiwei He, Yuxiang Yang, Mingyu Gao, Jing Zhang

Technically, a global-local transformer (GLT) module is employed to integrate object- and patch-aware prior into seed point features to effectively form strong feature representation for geometric positions of the seed points, thus providing more robust and accurate cues for offset learning.

3D Single Object Tracking Object Tracking +1

Improved YOLOv5 network for real-time multi-scale traffic sign detection

1 code implementation16 Dec 2021 Junfan Wang, Yi Chen, Mingyu Gao, Zhekang Dong

Moreover, in practical application, it is difficult for common methods to improve the detection accuracy of multi-scale traffic signs while ensuring real-time detection.

Data Augmentation Traffic Sign Detection

DNN Dataflow Choice Is Overrated

no code implementations10 Sep 2018 Xuan Yang, Mingyu Gao, Jing Pu, Ankita Nayak, Qiaoyi Liu, Steven Emberton Bell, Jeff Ou Setter, Kaidi Cao, Heonjae Ha, Christos Kozyrakis, Mark Horowitz

Many DNN accelerators have been proposed and built using different microarchitectures and program mappings.

Distributed, Parallel, and Cluster Computing

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