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03/26/2023
POAR: Towards Open-World Pedestrian Attribute Recognition
Pedestrian attribute recognition (PAR) aims to predict the attributes of...
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10/09/2022
Coded Residual Transform for Generalizable Deep Metric Learning
A fundamental challenge in deep metric learning is the generalization ca...
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02/13/2022
LighTN: Light-weight Transformer Network for Performance-overhead Tradeoff in Point Cloud Downsampling
Compared with traditional task-irrelevant downsampling methods, task-ori...
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02/22/2021
Attention Models for Point Clouds in Deep Learning: A Survey
Recently, the advancement of 3D point clouds in deep learning has attrac...
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02/19/2021
A GAN-Based Input-Size Flexibility Model for Single Image Dehazing
Image-to-image translation based on generative adversarial network (GAN)...
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04/25/2018