Search Results for author: Hu Han

Found 30 papers, 13 papers with code

Task-adaptive Q-Face

no code implementations15 May 2024 Haomiao Sun, Mingjie He, Shiguang Shan, Hu Han, Xilin Chen

Although face analysis has achieved remarkable improvements in the past few years, designing a multi-task face analysis model is still challenging.

Action Unit Detection Age Estimation +2

Decoupled Textual Embeddings for Customized Image Generation

1 code implementation19 Dec 2023 Yufei Cai, Yuxiang Wei, Zhilong Ji, Jinfeng Bai, Hu Han, WangMeng Zuo

To decouple irrelevant attributes (i. e., background and pose) from the subject embedding, we further present several attribute mappers that encode each image as several image-specific subject-unrelated embeddings.

Attribute Disentanglement +2

Mixed-order self-paced curriculum learning for universal lesion detection

no code implementations9 Feb 2023 Han Li, Hu Han, S. Kevin Zhou

Most SCL methods commonly adopt a loss-based strategy of estimating data difficulty and deweighting the `hard' samples in the early training stage.

Lesion Detection

Modeling the Relative Visual Tempo for Self-supervised Skeleton-based Action Recognition

1 code implementation ICCV 2023 Yisheng Zhu, Hu Han, Zhengtao Yu, Guangcan Liu

Specifically, we design a Relative Visual Tempo Learning (RVTL) task to explore the motion information in intra-video clips, and an Appearance-Consistency (AC) task to learn appearance information simultaneously, resulting in more representative spatiotemporal features.

Action Recognition Contrastive Learning +2

DISC: Learning From Noisy Labels via Dynamic Instance-Specific Selection and Correction

1 code implementation CVPR 2023 YiFan Li, Hu Han, Shiguang Shan, Xilin Chen

Then we propose a dynamic threshold strategy for each instance, based on the momentum of each instance's memorization strength in previous epochs to select and correct noisy labeled data.

Learning with noisy labels Memorization

Data-Free Knowledge Distillation via Feature Exchange and Activation Region Constraint

1 code implementation CVPR 2023 Shikang Yu, Jiachen Chen, Hu Han, Shuqiang Jiang

Therefore, we propose mSARC to assure the student network can imitate not only the logit output but also the spatial activation region of the teacher network in order to alleviate the influence of unwanted noises in diverse synthetic images on distillation learning.

Data Augmentation Data-free Knowledge Distillation +1

Affective Behaviour Analysis Using Pretrained Model with Facial Priori

1 code implementation24 Jul 2022 YiFan Li, Haomiao Sun, Zhaori Liu, Hu Han

As a result, we utilize AffectNet pretrained CNN to extract expression scores concatenating with expression and AU scores from ViT to obtain the final VA features.

Emotion Recognition

MGRR-Net: Multi-level Graph Relational Reasoning Network for Facial Action Units Detection

no code implementations4 Apr 2022 Xuri Ge, Joemon M. Jose, Songpei Xu, Xiao Liu, Hu Han

While the region-level feature learning from local face patches features via graph neural network can encode the correlation across different AUs, the pixel-wise and channel-wise feature learning via graph attention network can enhance the discrimination ability of AU features from global face features.

Graph Attention Relational Reasoning

SATr: Slice Attention with Transformer for Universal Lesion Detection

no code implementations13 Mar 2022 Han Li, Long Chen, Hu Han, S. Kevin Zhou

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

Lesion Detection

Automatic Facial Paralysis Estimation with Facial Action Units

no code implementations3 Mar 2022 Xuri Ge, Joemon M. Jose, Pengcheng Wang, Arunachalam Iyer, Xiao Liu, Hu Han

In this paper, we propose a novel Adaptive Local-Global Relational Network (ALGRNet) for facial AU detection and use it to classify facial paralysis severity.

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 +3

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.

Disentanglement Emotion Recognition +1

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.

Lesion Detection 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 +3

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 +3

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.

Anatomy Disentanglement +1

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 Image Segmentation +4

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 +3

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

1 code implementation11 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 MORPH

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.

Attribute Facial Attribute Classification +4

AgeNet: Deeply Learned Regressor and Classifier for Robust Apparent Age Estimation

no code implementations ICCV Workshop 2015 Xin Liu, Shaoxin Li, Meina Kan, Jie Zhang, Shuzhe Wu, Wenxian Liu, Hu Han, Shiguang Shan, Xilin Chen

Another key feature of the proposed AgeNet is that, to avoid the problem of over-fitting on small apparent age training set, we exploit a general-to-specific transfer learning scheme.

Age Estimation Transfer Learning

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