Jingkai Zhou

Orcid: 0000-0003-4629-0659

According to our database1, Jingkai Zhou authored at least 18 papers between 2000 and 2023.

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Bibliography

2023
PoiseNet: Dealing With Data Imbalance in DensePose.
IEEE Trans. Circuits Syst. Video Technol., October, 2023

What Limits the Performance of Local Self-attention?
Int. J. Comput. Vis., October, 2023

Blockchain-based secure deduplication against duplicate-faking attack in decentralised storage.
Int. J. Comput. Sci. Eng., 2023

Adversarial Score Distillation: When score distillation meets GAN.
CoRR, 2023

ASM: Adaptive Skinning Model for High-Quality 3D Face Modeling.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022
Scaled ReLU Matters for Training Vision Transformers.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
ELSA: Enhanced Local Self-Attention for Vision Transformer.
CoRR, 2021

Decoupled Dynamic Filter Networks.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
Novel up-scale feature aggregation for object detection in aerial images.
Neurocomputing, 2020


2019
Scale adaptive image cropping for UAV object detection.
Neurocomputing, 2019


VisDrone-DET2019: The Vision Meets Drone Object Detection in Image Challenge Results.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

2018
Object tracking via Online Multiple Instance Learning with reliable components.
Comput. Vis. Image Underst., 2018

Nighttime FIR Pedestrian Detection Benchmark Dataset for ADAS.
Proceedings of the Pattern Recognition and Computer Vision - First Chinese Conference, 2018

VisDrone-DET2018: The Vision Meets Drone Object Detection in Image Challenge Results.
Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018

2012
Study on the UGV's Active Collision Avoidance Technology Based on Petri Net.
Proceedings of the Third International Conference on Digital Manufacturing & Automation, 2012

2000
The Application of Association Rule Mining to Remotely Sensed Data.
Proceedings of the Applied Computing 2000, 2000


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