Search Results for author: Junping Zhang

Found 57 papers, 29 papers with code

HOPE: Hybrid-granularity Ordinal Prototype Learning for Progression Prediction of Mild Cognitive Impairment

1 code implementation19 Jan 2024 Chenhui Wang, Yiming Lei, Tao Chen, Junping Zhang, Yuxin Li, Hongming Shan

Inspired by that various longitudinal biomarkers and cognitive measurements present an ordinal pathway on AD progression, we propose a novel Hybrid-granularity Ordinal PrototypE learning (HOPE) method to characterize AD ordinal progression for MCI progression prediction.

Prompted Contextual Transformer for Incomplete-View CT Reconstruction

1 code implementation13 Dec 2023 Chenglong Ma, Zilong Li, Junjun He, Junping Zhang, Yi Zhang, Hongming Shan

To enjoy the multi-setting synergy in a single model, we propose a novel Prompted Contextual Transformer (ProCT) for incomplete-view CT reconstruction.

Computed Tomography (CT)

Prompt-In-Prompt Learning for Universal Image Restoration

1 code implementation8 Dec 2023 Zilong Li, Yiming Lei, Chenglong Ma, Junping Zhang, Hongming Shan

Second, we devise a novel prompt-to-prompt interaction module to fuse these two prompts into a universal restoration prompt.

Deblurring Image Denoising +2

Point, Segment and Count: A Generalized Framework for Object Counting

1 code implementation21 Nov 2023 Zhizhong Huang, Mingliang Dai, Yi Zhang, Junping Zhang, Hongming Shan

In this paper, we propose a generalized framework for both few-shot and zero-shot object counting based on detection.

Knowledge Distillation Object +3

SIAM: A Simple Alternating Mixer for Video Prediction

no code implementations20 Nov 2023 Xin Zheng, Ziang Peng, Yuan Cao, Hongming Shan, Junping Zhang

Video prediction, predicting future frames from the previous ones, has broad applications such as autonomous driving and weather forecasting.

Autonomous Driving Decoder +2

Semantic Latent Decomposition with Normalizing Flows for Face Editing

1 code implementation11 Sep 2023 Binglei Li, Zhizhong Huang, Hongming Shan, Junping Zhang

Specifically, SDFlow decomposes the original latent code into different irrelevant variables by jointly optimizing two components: (i) a semantic encoder to estimate semantic variables from input faces and (ii) a flow-based transformation module to map the latent code into a semantic-irrelevant variable in Gaussian distribution, conditioned on the learned semantic variables.

Online Prototype Learning for Online Continual Learning

1 code implementation ICCV 2023 Yujie Wei, Jiaxin Ye, Zhizhong Huang, Junping Zhang, Hongming Shan

Online continual learning (CL) studies the problem of learning continuously from a single-pass data stream while adapting to new data and mitigating catastrophic forgetting.

Continual Learning Knowledge Distillation

Adaptive Nonlinear Latent Transformation for Conditional Face Editing

1 code implementation ICCV 2023 Zhizhong Huang, Siteng Ma, Junping Zhang, Hongming Shan

This paper proposes a novel adaptive nonlinear latent transformation for disentangled and conditional face editing, termed AdaTrans.

Disentanglement

FreeSeed: Frequency-band-aware and Self-guided Network for Sparse-view CT Reconstruction

1 code implementation12 Jul 2023 Chenglong Ma, Zilong Li, Junping Zhang, Yi Zhang, Hongming Shan

Specifically, we first propose a frequency-band-aware artifact modeling network (FreeNet), which learns artifact-related frequency-band attention in Fourier domain for better modeling the globally distributed streak artifact on the sparse-view CT images.

Computed Tomography (CT)

CLIP-Lung: Textual Knowledge-Guided Lung Nodule Malignancy Prediction

no code implementations17 Apr 2023 Yiming Lei, Zilong Li, Yan Shen, Junping Zhang, Hongming Shan

Drawing on the capability of the contrastive language-image pre-training (CLIP) model to learn generalized visual representations from text annotations, in this paper, we propose CLIP-Lung, a textual knowledge-guided framework for lung nodule malignancy prediction.

Attribute Contrastive Learning

CoreDiff: Contextual Error-Modulated Generalized Diffusion Model for Low-Dose CT Denoising and Generalization

1 code implementation4 Apr 2023 Qi Gao, Zilong Li, Junping Zhang, Yi Zhang, Hongming Shan

First, CoreDiff utilizes LDCT images to displace the random Gaussian noise and employs a novel mean-preserving degradation operator to mimic the physical process of CT degradation, significantly reducing sampling steps thanks to the informative LDCT images as the starting point of the sampling process.

Computed Tomography (CT) Denoising +1

Cross-head Supervision for Crowd Counting with Noisy Annotations

1 code implementation16 Mar 2023 Mingliang Dai, Zhizhong Huang, Jiaqi Gao, Hongming Shan, Junping Zhang

To alleviate the negative impact of noisy annotations, we propose a novel crowd counting model with one convolution head and one transformer head, in which these two heads can supervise each other in noisy areas, called Cross-Head Supervision.

Crowd Counting

Twin Contrastive Learning with Noisy Labels

1 code implementation CVPR 2023 Zhizhong Huang, Junping Zhang, Hongming Shan

In this paper, we present TCL, a novel twin contrastive learning model to learn robust representations and handle noisy labels for classification.

Contrastive Learning Learning with noisy labels

CORE: Learning Consistent Ordinal REpresentations for Image Ordinal Estimation

no code implementations15 Jan 2023 Yiming Lei, Zilong Li, Yangyang Li, Junping Zhang, Hongming Shan

However, the manifold of the resultant feature representations does not maintain the intrinsic ordinal relations of interest, which hinders the effectiveness of the image ordinal estimation.

regression

Binaural Rendering of Ambisonic Signals by Neural Networks

no code implementations4 Nov 2022 Yin Zhu, Qiuqiang Kong, Junjie Shi, Shilei Liu, Xuzhou Ye, Ju-Chiang Wang, Junping Zhang

Binaural rendering of ambisonic signals is of broad interest to virtual reality and immersive media.

Motion Matters: A Novel Motion Modeling For Cross-View Gait Feature Learning

no code implementations21 Oct 2022 Jingqi Li, Jiaqi Gao, Yuzhen Zhang, Hongming Shan, Junping Zhang

Specifically, we first extract the motion features from the encoded motion sequences in the shallow layer.

Gait Recognition

SA-MLP: Distilling Graph Knowledge from GNNs into Structure-Aware MLP

1 code implementation18 Oct 2022 Jie Chen, Shouzhen Chen, Mingyuan Bai, Junbin Gao, Junping Zhang, Jian Pu

Then, we introduce a novel structure-mixing knowledge distillation strategy to enhance the learning ability of MLPs for structure information.

Knowledge Distillation Node Classification

When Age-Invariant Face Recognition Meets Face Age Synthesis: A Multi-Task Learning Framework and A New Benchmark

no code implementations17 Oct 2022 Zhizhong Huang, Junping Zhang, Hongming Shan

Extensive experimental results on five benchmark cross-age datasets demonstrate that MTLFace yields superior performance for both AIFR and FAS.

Age-Invariant Face Recognition Face Generation +1

Quad-Net: Quad-domain Network for CT Metal Artifact Reduction

1 code implementation24 Jul 2022 Zilong Li, Qi Gao, Yaping Wu, Chuang Niu, Junping Zhang, Meiyun Wang, Ge Wang, Hongming Shan

Here we extend the state-of-the-art dual-domain deep network approach into a quad-domain counterpart so that all the features in the sinogram, image, and their corresponding Fourier domains are synergized to eliminate metal artifacts optimally without compromising structural subtleties.

Computed Tomography (CT) Metal Artifact Reduction

SAN-Net: Learning Generalization to Unseen Sites for Stroke Lesion Segmentation with Self-Adaptive Normalization

1 code implementation9 May 2022 Weiyi Yu, Zhizhong Huang, Junping Zhang, Hongming Shan

To tackle this issue, we introduce a self-adaptive normalization network, termed SAN-Net, to achieve adaptive generalization on unseen sites for stroke lesion segmentation.

Data Augmentation Lesion Segmentation

Exploiting Neighbor Effect: Conv-Agnostic GNNs Framework for Graphs with Heterophily

1 code implementation19 Mar 2022 Jie Chen, Shouzhen Chen, Junbin Gao, Zengfeng Huang, Junping Zhang, Jian Pu

Moreover, we propose a simple yet effective Conv-Agnostic GNN framework (CAGNNs) to enhance the performance of most GNNs on heterophily datasets by learning the neighbor effect for each node.

Node Classification

Meta Ordinal Regression Forest for Medical Image Classification with Ordinal Labels

no code implementations15 Mar 2022 Yiming Lei, Haiping Zhu, Junping Zhang, Hongming Shan

To improve model generalization with ordinal information, we propose a novel meta ordinal regression forest (MORF) method for medical image classification with ordinal labels, which learns the ordinal relationship through the combination of convolutional neural network and differential forest in a meta-learning framework.

feature selection Image Classification +3

Video-based Facial Micro-Expression Analysis: A Survey of Datasets, Features and Algorithms

no code implementations30 Jan 2022 Xianye Ben, Yi Ren, Junping Zhang, Su-Jing Wang, Kidiyo Kpalma, Weixiao Meng, Yong-Jin Liu

Unlike the conventional facial expressions, micro-expressions are involuntary and transient facial expressions capable of revealing the genuine emotions that people attempt to hide.

Deep Rank-Consistent Pyramid Model for Enhanced Crowd Counting

2 code implementations13 Jan 2022 Jiaqi Gao, Zhizhong Huang, Yiming Lei, Hongming Shan, James Z. Wang, Fei-Yue Wang, Junping Zhang

Specifically, we propose a Deep Rank-consistEnt pyrAmid Model (DREAM), which makes full use of rank consistency across coarse-to-fine pyramid features in latent spaces for enhanced crowd counting with massive unlabeled images.

Crowd Counting

Learning Representation for Clustering via Prototype Scattering and Positive Sampling

1 code implementation23 Nov 2021 Zhizhong Huang, Jie Chen, Junping Zhang, Hongming Shan

The strengths of ProPos are avoidable class collision issue, uniform representations, well-separated clusters, and within-cluster compactness.

Clustering Contrastive Learning +3

Hard instance learning for quantum adiabatic prime factorization

no code implementations10 Oct 2021 Jian Lin, Zhengfeng Zhang, Junping Zhang, Xiaopeng Li

Prime factorization is a difficult problem with classical computing, whose exponential hardness is the foundation of Rivest-Shamir-Adleman (RSA) cryptography.

Reinforcement Learning (RL) Transfer Learning

Efficiently Training On-Policy Actor-Critic Networks in Robotic Deep Reinforcement Learning with Demonstration-like Sampled Exploration

no code implementations27 Sep 2021 Zhaorun Chen, Binhao Chen, Shenghan Xie, Liang Gong, Chengliang Liu, Zhengfeng Zhang, Junping Zhang

In complex environments with high dimension, training a reinforcement learning (RL) model from scratch often suffers from lengthy and tedious collection of agent-environment interactions.

Reinforcement Learning (RL)

DU-GAN: Generative Adversarial Networks with Dual-Domain U-Net Based Discriminators for Low-Dose CT Denoising

1 code implementation24 Aug 2021 Zhizhong Huang, Junping Zhang, Yi Zhang, Hongming Shan

To better regularize the LDCT denoising model, this paper proposes a novel method, termed DU-GAN, which leverages U-Net based discriminators in the GANs framework to learn both global and local difference between the denoised and normal-dose images in both image and gradient domains.

Denoising

Neural Ordinary Differential Equation Model for Evolutionary Subspace Clustering and Its Applications

no code implementations22 Jul 2021 Mingyuan Bai, S. T. Boris Choy, Junping Zhang, Junbin Gao

In this paper, we propose a neural ODE model for evolutionary subspace clustering to overcome this limitation and a new objective function with subspace self-expressiveness constraint is introduced.

Clustering Time Series +1

AgeFlow: Conditional Age Progression and Regression with Normalizing Flows

1 code implementation15 May 2021 Zhizhong Huang, Shouzhen Chen, Junping Zhang, Hongming Shan

Age progression and regression aim to synthesize photorealistic appearance of a given face image with aging and rejuvenation effects, respectively.

Attribute Knowledge Distillation +1

Graph Decoupling Attention Markov Networks for Semi-supervised Graph Node Classification

no code implementations28 Apr 2021 Jie Chen, Shouzhen Chen, Mingyuan Bai, Jian Pu, Junping Zhang, Junbin Gao

In this paper, we consider the label dependency of graph nodes and propose a decoupling attention mechanism to learn both hard and soft attention.

General Classification Graph Learning +2

SelfGait: A Spatiotemporal Representation Learning Method for Self-supervised Gait Recognition

1 code implementation27 Mar 2021 Yiqun Liu, Yi Zeng, Jian Pu, Hongming Shan, Peiyang He, Junping Zhang

In this work, we propose a self-supervised gait recognition method, termed SelfGait, which takes advantage of the massive, diverse, unlabeled gait data as a pre-training process to improve the representation abilities of spatiotemporal backbones.

Gait Recognition Representation Learning

GaitSet: Cross-view Gait Recognition through Utilizing Gait as a Deep Set

1 code implementation5 Feb 2021 Hanqing Chao, Kun Wang, Yiwei He, Junping Zhang, Jianfeng Feng

In this paper, we present a novel perspective that utilizes gait as a deep set, which means that a set of gait frames are integrated by a global-local fused deep network inspired by the way our left- and right-hemisphere processes information to learn information that can be used in identification.

Gait Recognition

RoutingGAN: Routing Age Progression and Regression with Disentangled Learning

no code implementations1 Feb 2021 Zhizhong Huang, Junping Zhang, Hongming Shan

Although impressive results have been achieved for age progression and regression, there remain two major issues in generative adversarial networks (GANs)-based methods: 1) conditional GANs (cGANs)-based methods can learn various effects between any two age groups in a single model, but are insufficient to characterize some specific patterns due to completely shared convolutions filters; and 2) GANs-based methods can, by utilizing several models to learn effects independently, learn some specific patterns, however, they are cumbersome and require age label in advance.

regression

Meta ordinal weighting net for improving lung nodule classification

no code implementations31 Jan 2021 Yiming Lei, Hongming Shan, Junping Zhang

In this paper, we propose a Meta Ordinal Weighting Network (MOW-Net) to explicitly align each training sample with a meta ordinal set (MOS) containing a few samples from all classes.

Classification General Classification +3

Private Image Reconstruction from System Side Channels Using Generative Models

2 code implementations ICLR 2021 Yuanyuan Yuan, Shuai Wang, Junping Zhang

Given the ever-growing adoption of machine learning as a service (MLaaS), image analysis software on cloud platforms has been exploited by reconstructing private user images from system side channels.

Image Reconstruction Side Channel Analysis

PFA-GAN: Progressive Face Aging with Generative Adversarial Network

2 code implementations7 Dec 2020 Zhizhong Huang, Shouzhen Chen, Junping Zhang, Hongming Shan

Although impressive results have been achieved with conditional generative adversarial networks (cGANs), the existing cGANs-based methods typically use a single network to learn various aging effects between any two different age groups.

Age Estimation Generative Adversarial Network

Meta Ordinal Regression Forest For Learning with Unsure Lung Nodules

no code implementations7 Dec 2020 Yiming Lei, Haiping Zhu, Junping Zhang, Hongming Shan

Recently, an unsure data model (UDM) was proposed to incorporate those unsure nodules by formulating this problem as an ordinal regression, showing better performance over traditional binary classification.

Binary Classification Classification +5

Two Types of Mixed Orthogonal Frequency Division Multiplexing (X-OFDM) Waveform for Optical Wireless Communication

no code implementations7 Nov 2020 Xu Li, Jingjing Huang, Yibo Lyu, Rui Ni, Jiajin Luo, Junping Zhang

For the even sub-carriers in the frequency domain, the signal in the time domain after the IFFT is symmetric.

Convolutional Ordinal Regression Forest for Image Ordinal Estimation

no code implementations7 Aug 2020 Haiping Zhu, Hongming Shan, Yuheng Zhang, Lingfu Che, Xiaoyang Xu, Junping Zhang, Jianbo Shi, Fei-Yue Wang

We propose a novel ordinal regression approach, termed Convolutional Ordinal Regression Forest or CORF, for image ordinal estimation, which can integrate ordinal regression and differentiable decision trees with a convolutional neural network for obtaining precise and stable global ordinal relationships.

Age Estimation Binary Classification +1

STAS: Adaptive Selecting Spatio-Temporal Deep Features for Improving Bias Correction on Precipitation

no code implementations13 Apr 2020 Yiqun Liu, Shouzhen Chen, Lei Chen, Hai Chu, Xiaoyang Xu, Junping Zhang, Leiming Ma

We thus propose an end-to-end deep-learning BCoP model named Spatio-Temporal feature Auto-Selective (STAS) model to select optimal ST regularity from EC via the ST Feature-selective Mechanisms (SFM/TFM).

Look globally, age locally: Face aging with an attention mechanism

1 code implementation24 Oct 2019 Haiping Zhu, Zhizhong Huang, Hongming Shan, Junping Zhang

Face aging is of great importance for cross-age recognition and entertainment-related applications.

MORPH

Precipitation Nowcasting with Star-Bridge Networks

no code implementations18 Jul 2019 Yuan Cao, Qiuying Li, Hongming Shan, Zhizhong Huang, Lei Chen, Leiming Ma, Junping Zhang

Precipitation nowcasting, which aims to precisely predict the short-term rainfall intensity of a local region, is gaining increasing attention in the artificial intelligence community.

Video Prediction

Ordinal Distribution Regression for Gait-based Age Estimation

no code implementations27 May 2019 Haiping Zhu, Yuheng Zhang, Guohao Li, Junping Zhang, Hongming Shan

This paper proposes an ordinal distribution regression with a global and local convolutional neural network for gait-based age estimation.

Age Estimation regression

GaitSet: Regarding Gait as a Set for Cross-View Gait Recognition

3 code implementations15 Nov 2018 Hanqing Chao, Yiwei He, Junping Zhang, Jianfeng Feng

In this paper we present a novel perspective, where a gait is regarded as a set consisting of independent frames.

Multiview Gait Recognition

PaDNet: Pan-Density Crowd Counting

no code implementations7 Nov 2018 Yukun Tian, Yiming Lei, Junping Zhang, James Z. Wang

We propose a novel framework, the Pan-Density Network (PaDNet), for pan-density crowd counting.

Crowd Counting

Shape and Margin-Aware Lung Nodule Classification in Low-dose CT Images via Soft Activation Mapping

no code implementations30 Oct 2018 Yiming Lei, Yukun Tian, Hongming Shan, Junping Zhang, Ge Wang, Mannudeep Kalra

Therefore, CAM and Grad-CAM cannot provide optimal interpretation for lung nodule categorization task in low-dose CT images, in that fine-grained pathological clues like discrete and irregular shape and margins of nodules are capable of enhancing sensitivity and specificity of nodule classification with regards to CNN.

Data Augmentation General Classification +3

The Automatic Identification of Butterfly Species

no code implementations18 Mar 2018 Juanying Xie, Qi Hou, Yinghuan Shi, Lv Peng, Liping Jing, Fuzhen Zhuang, Junping Zhang, Xiaoyang Tang, Shengquan Xu

We delete those species with only one living environment image from data set, then partition the rest images from living environment into two subsets, one used as test subset, the other as training subset respectively combined with all standard pattern butterfly images or the standard pattern butterfly images with the same species of the images from living environment.

Distribution-dependent concentration inequalities for tighter generalization bounds

no code implementations19 Jul 2016 Xinxing Wu, Junping Zhang

Concentration inequalities are indispensable tools for studying the generalization capacity of learning models.

Generalization Bounds Learning Theory

Cannot find the paper you are looking for? You can Submit a new open access paper.