Search Results for author: Hao Du

Found 8 papers, 3 papers with code

Deep Portrait Lighting Enhancement with 3D Guidance

no code implementations4 Aug 2021 Fangzhou Han, Can Wang, Hao Du, Jing Liao

To address this, we present a novel deep learning framework for portrait lighting enhancement based on 3D facial guidance.

Image-to-Image Translation Translation

Multi-task Graph Convolutional Neural Network for Calcification Morphology and Distribution Analysis in Mammograms

no code implementations14 May 2021 Hao Du, Melissa Min-Szu Yao, Liangyu Chen, Wing P. Chan, Mengling Feng

In this study, we proposed a multi-task deep graph convolutional network (GCN) method for the automatic characterization of morphology and distribution of microcalcifications in mammograms.

Graph Classification Graph Learning

Cream of the Crop: Distilling Prioritized Paths For One-Shot Neural Architecture Search

1 code implementation NeurIPS 2020 Houwen Peng, Hao Du, Hongyuan Yu, Qi Li, Jing Liao, Jianlong Fu

The experiments on ImageNet verify such path distillation method can improve the convergence ratio and performance of the hypernetwork, as well as boosting the training of subnetworks.

Neural Architecture Search Object Detection

An Additive Decomposition in S-Primitive Towers

1 code implementation6 Feb 2020 Hao Du, Jing Guo, Ziming Li, Elaine Wong

We consider the additive decomposition problem in primitive towers and present an algorithm to decompose a function in an S-primitive tower as a sum of a derivative in the tower and a remainder which is minimal in some sense.

Symbolic Computation

Zoom in to where it matters: a hierarchical graph based model for mammogram analysis

no code implementations16 Dec 2019 Hao Du, Jiashi Feng, Mengling Feng

In clinical practice, human radiologists actually review medical images with high resolution monitors and zoom into region of interests (ROIs) for a close-up examination.

Classification General Classification +3

Segmented convolutional gated recurrent neural networks for human activity recognition in ultra-wideband radar

no code implementations Neurocomputing 2019 Hao Du, Tian Jin, Yuan He, Yongping Song, Yongpeng Dai

In this work, we propose a neural network architecture, namely segmented convolutional gated recurrent neural network (SCGRNN), to recognize human activities based on micro-Doppler spectrograms measured by the ultra-wideband radar.

Activity Recognition RF-based Action Recognition +1

A Self-Correcting Deep Learning Approach to Predict Acute Conditions in Critical Care

no code implementations14 Jan 2019 Ziyuan Pan, Hao Du, Kee Yuan Ngiam, Fei Wang, Ping Shum, Mengling Feng

Compared with the existing models, our method has a number of distinct features: we utilized the accumulative data of patients in ICU; we developed a self-correcting mechanism that feeds errors from the previous predictions back into the network; we also proposed a regularization method that takes into account not only the model's prediction error on the label but also its estimation errors on the input data.

Additive Decompositions in Primitive Extensions

1 code implementation7 Feb 2018 Shaoshi Chen, Hao Du, Ziming Li

This paper extends the classical Ostrogradsky-Hermite reduction for rational functions to more general functions in primitive extensions of certain types.

Symbolic Computation 33F10, 68W30, 12H05

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