Search Results for author: Yao Guo

Found 20 papers, 10 papers with code

Neural Delay Differential Equations: System Reconstruction and Image Classification

no code implementations11 Apr 2023 Qunxi Zhu, Yao Guo, Wei Lin

Neural Ordinary Differential Equations (NODEs), a framework of continuous-depth neural networks, have been widely applied, showing exceptional efficacy in coping with representative datasets.

Classification Image Classification

Toward Explainable and Fine-Grained 3D Grounding through Referring Textual Phrases

no code implementations5 Jul 2022 Zhihao Yuan, Xu Yan, Zhuo Li, Xuhao Li, Yao Guo, Shuguang Cui, Zhen Li

Recent progress in 3D scene understanding has explored visual grounding (3DVG) to localize a target object through a language description.

Representation Learning Scene Understanding +1

DistFL: Distribution-aware Federated Learning for Mobile Scenarios

1 code implementation22 Oct 2021 Bingyan Liu, Yifeng Cai, Ziqi Zhang, Yuanchun Li, Leye Wang, Ding Li, Yao Guo, Xiangqun Chen

Previous studies focus on the "symptoms" directly, as they try to improve the accuracy or detect possible attacks by adding extra steps to conventional FL models.

Federated Learning Privacy Preserving

TransAction: ICL-SJTU Submission to EPIC-Kitchens Action Anticipation Challenge 2021

1 code implementation28 Jul 2021 Xiao Gu, Jianing Qiu, Yao Guo, Benny Lo, Guang-Zhong Yang

In this report, the technical details of our submission to the EPIC-Kitchens Action Anticipation Challenge 2021 are given.

Action Anticipation

PFA: Privacy-preserving Federated Adaptation for Effective Model Personalization

1 code implementation2 Mar 2021 Bingyan Liu, Yao Guo, Xiangqun Chen

Based on the grouping results, PFA conducts an FL process in a group-wise way on the federated model to accomplish the adaptation.

Federated Learning Privacy Preserving

TransTailor: Pruning the Pre-trained Model for Improved Transfer Learning

no code implementations2 Mar 2021 Bingyan Liu, Yifeng Cai, Yao Guo, Xiangqun Chen

This paper aims to improve the transfer performance from another angle - in addition to tuning the weights, we tune the structure of pre-trained models, in order to better match the target task.

Transfer Learning

Neural Delay Differential Equations

no code implementations ICLR 2021 Qunxi Zhu, Yao Guo, Wei Lin

Neural Ordinary Differential Equations (NODEs), a framework of continuous-depth neural networks, have been widely applied, showing exceptional efficacy in coping with some representative datasets.

Beyond the Virus: A First Look at Coronavirus-themed Mobile Malware

1 code implementation29 May 2020 Ren He, Haoyu Wang, Pengcheng Xia, Liu Wang, Yuanchun Li, Lei Wu, Yajin Zhou, Xiapu Luo, Yao Guo, Guoai Xu

To facilitate future research, we have publicly released all the well-labelled COVID-19 themed apps (and malware) to the research community.

Cryptography and Security

Adversarial Attacks on Monocular Depth Estimation

no code implementations23 Mar 2020 Ziqi Zhang, Xinge Zhu, Yingwei Li, Xiangqun Chen, Yao Guo

In order to understand the impact of adversarial attacks on depth estimation, we first define a taxonomy of different attack scenarios for depth estimation, including non-targeted attacks, targeted attacks and universal attacks.

Autonomous Driving Monocular Depth Estimation +3

Artificial Intelligence in Surgery

no code implementations23 Dec 2019 Xiao-Yun Zhou, Yao Guo, Mali Shen, Guang-Zhong Yang

Artificial Intelligence (AI) is gradually changing the practice of surgery with the advanced technological development of imaging, navigation and robotic intervention.

OpenLORIS-Object: A Robotic Vision Dataset and Benchmark for Lifelong Deep Learning

2 code implementations15 Nov 2019 Qi She, Fan Feng, Xinyue Hao, Qihan Yang, Chuanlin Lan, Vincenzo Lomonaco, Xuesong Shi, Zhengwei Wang, Yao Guo, Yimin Zhang, Fei Qiao, Rosa H. M. Chan

Yet, robotic vision poses unique challenges for applying visual algorithms developed from these standard computer vision datasets due to their implicit assumption over non-varying distributions for a fixed set of tasks.

Object Recognition

High-speed Railway Fastener Detection and Localization Method based on convolutional neural network

no code implementations2 Jul 2019 Qing Song, Yao Guo, Jianan Jiang, Chun Liu, Mengjie Hu

Railway transportation is the artery of China's national economy and plays an important role in the development of today's society.

Highly Efficient Follicular Segmentation in Thyroid Cytopathological Whole Slide Image

1 code implementation13 Feb 2019 Siyan Tao, Yao Guo, Chuang Zhu, Huang Chen, Yue Zhang, Jie Yang, Jun Liu

In this paper, we propose a novel method for highly efficient follicular segmentation of thyroid cytopathological WSIs.

General Classification

RRV: A Spatiotemporal Descriptor for Rigid Body Motion Recognition

no code implementations18 Jun 2016 Yao Guo, Youfu Li, Zhanpeng Shao

Motion behaviors of a rigid body can be characterized by a 6-dimensional motion trajectory, which contains position vectors of a reference point on the rigid body and rotations of this rigid body over time.


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