Search Results for author: Hu Han

Found 19 papers, 7 papers with code

Where is the disease? Semi-supervised pseudo-normality synthesis from an abnormal image

no code implementations24 Jun 2021 Yuanqi Du, Quan Quan, Hu Han, S. Kevin Zhou

Pseudo-normality synthesis, which computationally generates a pseudo-normal image from an abnormal one (e. g., with lesions), is critical in many perspectives, from lesion detection, data augmentation to clinical surgery suggestion.

Data Augmentation Image Generation +1

Dual-GAN: Joint BVP and Noise Modeling for Remote Physiological Measurement

no code implementations CVPR 2021 Hao Lu, Hu Han, S. Kevin Zhou

Remote photoplethysmography (rPPG) based physiological measurement has great application values in health monitoring, emotion analysis, etc.

Emotion Recognition Heart Rate Variability

Conditional Training with Bounding Map for Universal Lesion Detection

no code implementations23 Mar 2021 Han Li, Long Chen, Hu Han, S. Kevin Zhou

Universal Lesion Detection (ULD) in computed tomography plays an essential role in computer-aided diagnosis.

Deep Learning to Segment Pelvic Bones: Large-scale CT Datasets and Baseline Models

1 code implementation16 Dec 2020 Pengbo Liu, Hu Han, Yuanqi Du, Heqin Zhu, Yinhao Li, Feng Gu, Honghu Xiao, Jun Li, Chunpeng Zhao, Li Xiao, Xinbao Wu, S. Kevin Zhou

Due to the lack of a large-scale pelvic CT dataset with annotations, deep learning methods are not fully explored.

Bounding Maps for Universal Lesion Detection

no code implementations18 Jul 2020 Han Li, Hu Han, S. Kevin Zhou

The bounding maps (BMs) are used in two-stage anchor-based ULD frameworks to reduce the FP rate.

Region Proposal

Video-based Remote Physiological Measurement via Cross-verified Feature Disentangling

1 code implementation ECCV 2020 Xuesong Niu, Zitong Yu, Hu Han, Xiaobai Li, Shiguang Shan, Guoying Zhao

Remote physiological measurements, e. g., remote photoplethysmography (rPPG) based heart rate (HR), heart rate variability (HRV) and respiration frequency (RF) measuring, are playing more and more important roles under the application scenarios where contact measurement is inconvenient or impossible.

Heart Rate Variability

Miss the Point: Targeted Adversarial Attack on Multiple Landmark Detection

1 code implementation10 Jul 2020 Qingsong Yao, Zecheng He, Hu Han, S. Kevin Zhou

A comprehensive evaluation on a public dataset for cephalometric landmark detection demonstrates that the adversarial examples generated by ATI-FGSM break the CNN-based network more effectively and efficiently, compared with the original Iterative FGSM attack.

Adversarial Attack

Human Recognition Using Face in Computed Tomography

no code implementations28 May 2020 Jiuwen Zhu, Hu Han, S. Kevin Zhou

With the mushrooming use of computed tomography (CT) images in clinical decision making, management of CT data becomes increasingly difficult.

Computed Tomography (CT) Decision Making +1

FCSR-GAN: Joint Face Completion and Super-resolution via Multi-task Learning

1 code implementation4 Nov 2019 Jiancheng Cai, Hu Han, Shiguang Shan, Xilin Chen

Combined variations containing low-resolution and occlusion often present in face images in the wild, e. g., under the scenario of video surveillance.

Face Identification Facial Inpainting +2

RhythmNet: End-to-end Heart Rate Estimation from Face via Spatial-temporal Representation

no code implementations25 Oct 2019 Xuesong Niu, Shiguang Shan, Hu Han, Xilin Chen

Recently, some methods have been proposed for remote HR estimation from face videos; however, most of them focus on well-controlled scenarios, their generalization ability into less-constrained scenarios (e. g., with head movement, and bad illumination) are not known.

Heart rate estimation

Multi-label Co-regularization for Semi-supervised Facial Action Unit Recognition

1 code implementation NeurIPS 2019 Xuesong Niu, Hu Han, Shiguang Shan, Xilin Chen

In this work, we propose a semi-supervised approach for AU recognition utilizing a large number of web face images without AU labels and a relatively small face dataset with AU annotations inspired by the co-training methods.

Emotion Recognition Facial Action Unit Detection

Encoding CT Anatomy Knowledge for Unpaired Chest X-ray Image Decomposition

1 code implementation16 Sep 2019 Zeju Li, Han Li, Hu Han, Gonglei Shi, Jiannan Wang, S. Kevin Zhou

We hereby propose a decomposition generative adversarial network (DecGAN) to anatomically decompose a CXR image but with unpaired data.

3D U$^2$-Net: A 3D Universal U-Net for Multi-Domain Medical Image Segmentation

1 code implementation4 Sep 2019 Chao Huang, Hu Han, Qingsong Yao, Shankuan Zhu, S. Kevin Zhou

Instead of a collection of multiple models, it is highly desirable to learn a universal data representation for different tasks, ideally a single model with the addition of a minimal number of parameters steered to each task.

Image Classification Medical Image Segmentation

Tattoo Image Search at Scale: Joint Detection and Compact Representation Learning

no code implementations1 Nov 2018 Hu Han, Jie Li, Anil K. Jain, Shiguang Shan, Xilin Chen

To close the gap, we propose an efficient tattoo search approach that is able to learn tattoo detection and compact representation jointly in a single convolutional neural network (CNN) via multi-task learning.

Image Retrieval Multi-Task Learning +2

VIPL-HR: A Multi-modal Database for Pulse Estimation from Less-constrained Face Video

no code implementations11 Oct 2018 Xuesong Niu, Hu Han, Shiguang Shan, Xilin Chen

We also learn a deep HR estimator (named as RhythmNet) with the proposed spatial-temporal representation, which achieves promising results on both the public-domain and our VIPL-HR HR estimation databases.

Representation Learning

Mean-Variance Loss for Deep Age Estimation From a Face

no code implementations CVPR 2018 Hongyu Pan, Hu Han, Shiguang Shan, Xilin Chen

Age estimation has broad application prospects of many fields, such as video surveillance, social networking, and human-computer interaction.

Age Estimation

Heterogeneous Face Attribute Estimation: A Deep Multi-Task Learning Approach

no code implementations3 Jun 2017 Hu Han, Anil K. Jain, Fang Wang, Shiguang Shan, Xilin Chen

In DMTL, we tackle attribute correlation and heterogeneity with convolutional neural networks (CNNs) consisting of shared feature learning for all the attributes, and category-specific feature learning for heterogeneous attributes.

Multi-Task Learning Representation Learning

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