Search Results for author: Tianchen Wang

Found 13 papers, 1 papers with code

Lightweight Delivery Detection on Doorbell Cameras

no code implementations13 May 2023 Pirazh Khorramshahi, Zhe Wu, Tianchen Wang, Luke DeLuccia, Hongcheng Wang

Despite recent advances in video-based action recognition and robust spatio-temporal modeling, most of the proposed approaches rely on the abundance of computational resources to afford running huge and computation-intensive convolutional or transformer-based neural networks to obtain satisfactory results.

Action Recognition

EchoCP: An Echocardiography Dataset in Contrast Transthoracic Echocardiography for Patent Foramen Ovale Diagnosis

no code implementations18 May 2021 Tianchen Wang, Zhihe Li, Meiping Huang, Jian Zhuang, Shanshan Bi, Jiawei Zhang, Yiyu Shi, Hongwen Fei, Xiaowei Xu

For PFO diagnosis, contrast transthoracic echocardiography (cTTE) is preferred as being a more robust method compared with others.

Quantization of Deep Neural Networks for Accurate Edge Computing

no code implementations25 Apr 2021 Wentao Chen, Hailong Qiu, Jian Zhuang, Chutong Zhang, Yu Hu, Qing Lu, Tianchen Wang, Yiyu Shi, Meiping Huang, Xiaowe Xu

Deep neural networks (DNNs) have demonstrated their great potential in recent years, exceeding the per-formance of human experts in a wide range of applications.

Automatic Speech Recognition Automatic Speech Recognition (ASR) +5

ImageCHD: A 3D Computed Tomography Image Dataset for Classification of Congenital Heart Disease

1 code implementation26 Jan 2021 Xiaowei Xu, Tianchen Wang, Jian Zhuang, Haiyun Yuan, Meiping Huang, Jianzheng Cen, Qianjun Jia, Yuhao Dong, Yiyu Shi

To demonstrate this, we further present a baseline framework for the automatic classification of CHD, based on a state-of-the-art CHD segmentation method.

Classification Computed Tomography (CT) +1

Towards Cardiac Intervention Assistance: Hardware-aware Neural Architecture Exploration for Real-Time 3D Cardiac Cine MRI Segmentation

no code implementations17 Aug 2020 Dewen Zeng, Weiwen Jiang, Tianchen Wang, Xiaowei Xu, Haiyun Yuan, Meiping Huang, Jian Zhuang, Jingtong Hu, Yiyu Shi

Experimental results on ACDC MICCAI 2017 dataset demonstrate that our hardware-aware multi-scale NAS framework can reduce the latency by up to 3. 5 times and satisfy the real-time constraints, while still achieving competitive segmentation accuracy, compared with the state-of-the-art NAS segmentation framework.

MRI segmentation Neural Architecture Search +1

ENSEI: Efficient Secure Inference via Frequency-Domain Homomorphic Convolution for Privacy-Preserving Visual Recognition

no code implementations CVPR 2020 Song Bian, Tianchen Wang, Masayuki Hiromoto, Yiyu Shi, Takashi Sato

In this work, we propose ENSEI, a secure inference (SI) framework based on the frequency-domain secure convolution (FDSC) protocol for the efficient execution of privacy-preserving visual recognition.

Privacy Preserving

Accurate Congenital Heart Disease Model Generation for 3D Printing

no code implementations6 Jul 2019 Xiaowei Xu, Tianchen Wang, Dewen Zeng, Yiyu Shi, Qianjun Jia, Haiyun Yuan, Meiping Huang, Jian Zhuang

3D printing has been widely adopted for clinical decision making and interventional planning of Congenital heart disease (CHD), while whole heart and great vessel segmentation is the most significant but time-consuming step in the model generation for 3D printing.

Anatomy Decision Making +2

SCNN: A General Distribution based Statistical Convolutional Neural Network with Application to Video Object Detection

no code implementations15 Mar 2019 Tianchen Wang, JinJun Xiong, Xiaowei Xu, Yiyu Shi

By introducing a parameterized canonical model to model correlated data and defining corresponding operations as required for CNN training and inference, we show that SCNN can process multiple frames of correlated images effectively, hence achieving significant speedup over existing CNN models.

object-detection Video Object Detection

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