Search Results for author: Tao Sheng

Found 12 papers, 6 papers with code

Weakly-Supervised Detection of Bone Lesions in CT

no code implementations31 Jan 2024 Tao Sheng, Tejas Sudharshan Mathai, Alexander Shieh, Ronald M. Summers

First, we used the bone lesions that were prospectively marked by radiologists in a few 2D slices of CT volumes and converted them into weak 3D segmentation masks.

Segmentation

Chat-REC: Towards Interactive and Explainable LLMs-Augmented Recommender System

no code implementations25 Mar 2023 Yunfan Gao, Tao Sheng, Youlin Xiang, Yun Xiong, Haofen Wang, Jiawei Zhang

Large language models (LLMs) have demonstrated their significant potential to be applied for addressing various application tasks.

In-Context Learning Recommendation Systems

Modeling Global Distribution for Federated Learning with Label Distribution Skew

1 code implementation17 Dec 2022 Tao Sheng, Chengchao Shen, YuAn Liu, Yeyu Ou, Zhe Qu, Jianxin Wang

It introduces a global Generative Adversarial Network to model the global data distribution without access to local datasets, so the global model can be trained using the global information of data distribution without privacy leakage.

Federated Learning Generative Adversarial Network

ReCo: A Dataset for Residential Community Layout Planning

1 code implementation8 Jun 2022 Xi Chen, Yun Xiong, Siqi Wang, Haofen Wang, Tao Sheng, Yao Zhang, Yu Ye

In order to address the issues and advance a benchmark dataset for various intelligent spatial design and analysis applications in the development of smart city, we introduce Residential Community Layout Planning (ReCo) Dataset, which is the first and largest open-source vector dataset related to real-world community to date.

Generative Adversarial Network Layout Design

Bidirectional Regression for Arbitrary-Shaped Text Detection

no code implementations13 Jul 2021 Tao Sheng, Zhouhui Lian

Arbitrary-shaped text detection has recently attracted increasing interests and witnessed rapid development with the popularity of deep learning algorithms.

regression Text Detection

Low Power Inference for On-Device Visual Recognition with a Quantization-Friendly Solution

no code implementations12 Mar 2019 Chen Feng, Tao Sheng, Zhiyu Liang, Shaojie Zhuo, Xiaopeng Zhang, Liang Shen, Matthew Ardi, Alexander C. Berg, Yiran Chen, Bo Chen, Kent Gauen, Yung-Hsiang Lu

The IEEE Low-Power Image Recognition Challenge (LPIRC) is an annual competition started in 2015 that encourages joint hardware and software solutions for computer vision systems with low latency and power.

Quantization

M2Det: A Single-Shot Object Detector based on Multi-Level Feature Pyramid Network

12 code implementations12 Nov 2018 Qijie Zhao, Tao Sheng, Yongtao Wang, Zhi Tang, Ying Chen, Ling Cai, Haibin Ling

Finally, we gather up the decoder layers with equivalent scales (sizes) to develop a feature pyramid for object detection, in which every feature map consists of the layers (features) from multiple levels.

Decoder Object +2

CFENet: An Accurate and Efficient Single-Shot Object Detector for Autonomous Driving

1 code implementation26 Jun 2018 Qijie Zhao, Tao Sheng, Yongtao Wang, Feng Ni, Ling Cai

The ability to detect small objects and the speed of the object detector are very important for the application of autonomous driving, and in this paper, we propose an effective yet efficient one-stage detector, which gained the second place in the Road Object Detection competition of CVPR2018 workshop - Workshop of Autonomous Driving(WAD).

Autonomous Driving object-detection +1

A Quantization-Friendly Separable Convolution for MobileNets

1 code implementation22 Mar 2018 Tao Sheng, Chen Feng, Shaojie Zhuo, Xiaopeng Zhang, Liang Shen, Mickey Aleksic

As deep learning (DL) is being rapidly pushed to edge computing, researchers invented various ways to make inference computation more efficient on mobile/IoT devices, such as network pruning, parameter compression, and etc.

Edge-computing Image Classification +2

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