Search Results for author: Cheng Jin

Found 10 papers, 2 papers with code

SIT: A Bionic and Non-Linear Neuron for Spiking Neural Network

no code implementations30 Mar 2022 Cheng Jin, Rui-Jie Zhu, Xiao Wu, Liang-Jian Deng

Spiking Neural Networks (SNNs) have piqued researchers' interest because of their capacity to process temporal information and low power consumption.

Image Classification

SRPCN: Structure Retrieval based Point Completion Network

no code implementations6 Feb 2022 Kaiyi Zhang, Ximing Yang, Yuan Wu, Cheng Jin

Besides, the missing patterns are diverse in reality, but existing methods can only handle fixed ones, which means a poor generalization ability.

Point Cloud Completion

Generate Point Clouds with Multiscale Details from Graph-Represented Structures

no code implementations13 Dec 2021 Ximing Yang, Zhengfu He, Cheng Jin

As details are missing in most representations of structures, the lack of controllability to details is one of the major weaknesses in structure-based controllable point cloud generation.

Point Cloud Generation

Attention-based Transformation from Latent Features to Point Clouds

1 code implementation10 Dec 2021 Kaiyi Zhang, Ximing Yang, Yuan Wu, Cheng Jin

The points generated by AXform do not have the strong 2-manifold constraint, which improves the generation of non-smooth surfaces.

Point Cloud Completion Unsupervised Semantic Segmentation

Safe Distillation Box

no code implementations5 Dec 2021 Jingwen Ye, Yining Mao, Jie Song, Xinchao Wang, Cheng Jin, Mingli Song

In other words, all users may employ a model in SDB for inference, but only authorized users get access to KD from the model.

Knowledge Distillation

Document Layout Analysis with Aesthetic-Guided Image Augmentation

no code implementations27 Nov 2021 Tianlong Ma, Xingjiao Wu, Xin Li, Xiangcheng Du, Zhao Zhou, Liang Xue, Cheng Jin

To measure the proposed image layer modeling method, we propose a manually-labeled non-Manhattan layout fine-grained segmentation dataset named FPD.

Document Layout Analysis Image Augmentation

Adaptive Charging Networks: A Framework for Smart Electric Vehicle Charging

1 code implementation4 Dec 2020 Zachary J. Lee, George Lee, Ted Lee, Cheng Jin, Rand Lee, Zhi Low, Daniel Chang, Christine Ortega, Steven H. Low

We describe the architecture and algorithms of the Adaptive Charging Network (ACN), which was first deployed on the Caltech campus in early 2016 and is currently operating at over 100 other sites in the United States.

One-sample Guided Object Representation Disassembling

no code implementations NeurIPS 2020 Zunlei Feng, Yongming He, Xinchao Wang, Xin Gao, Jie Lei, Cheng Jin, Mingli Song

In this paper, we introduce the One-sample Guided Object Representation Disassembling (One-GORD) method, which only requires one annotated sample for each object category to learn disassembled object representation from unannotated images.

Data Augmentation Image Classification

GASNet: Weakly-supervised Framework for COVID-19 Lesion Segmentation

no code implementations19 Oct 2020 Zhanwei Xu, Yukun Cao, Cheng Jin, Guozhu Shao, Xiaoqing Liu, Jie zhou, Heshui Shi, Jianjiang Feng

Segmentation of infected areas in chest CT volumes is of great significance for further diagnosis and treatment of COVID-19 patients.

Lesion Segmentation Semantic Segmentation

TripletGAN: Training Generative Model with Triplet Loss

no code implementations14 Nov 2017 Gongze Cao, Yezhou Yang, Jie Lei, Cheng Jin, Yang Liu, Mingli Song

As an effective way of metric learning, triplet loss has been widely used in many deep learning tasks, including face recognition and person-ReID, leading to many states of the arts.

Face Recognition General Classification +1

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