Search Results for author: Jie Cao

Found 31 papers, 9 papers with code

Temporally and Spatially variant-resolution illumination patterns in computational ghost imaging

no code implementations5 May 2022 Dong Zhou, Jie Cao, Huan Cui, Li-Xing Lin, Haoyu Zhang, Yingqiang Zhang, Qun Hao

For the same number of measurements, the method using temporally variable-resolution illumination patterns has better imaging quality than CGI, but it is less robust to noise.

Window Filtering Algorithm for Pulsed Light Coherent Combining of Low Repetition Frequency

no code implementations3 Mar 2022 Jiali Zhang, Jie Cao, Qun Hao, Yang Cheng, Liquan Dong, Bin Han, Xuesheng Liu

The multi-dithering method has been well verified in phase locking of polarization coherent combination experiment.

Styleverse: Towards Identity Stylization across Heterogeneous Domains

no code implementations2 Mar 2022 Jia Li, Jie Cao, Junxian Duan, Ran He

We propose a new challenging task namely IDentity Stylization (IDS) across heterogeneous domains.

Style Transfer

Improving Subgraph Recognition with Variational Graph Information Bottleneck

1 code implementation18 Dec 2021 Junchi Yu, Jie Cao, Ran He

Subgraph recognition aims at discovering a compressed substructure of a graph that is most informative to the graph property.

Graph Classification

Complementary Fourier single-pixel imaging

no code implementations2 Aug 2021 Dong Zhou, Jie Cao, Huan Cui, Qun Hao, Bing-Kun Chen, Kai Lin

The complementary nature of Fourier patterns based on a four-step phase-shift algorithm is combined with the complementary nature of a digital micromirror device.

Optimization of retina-like illumination patterns in ghost imaging

no code implementations2 Aug 2021 Jie Cao, Dong Zhou, Ying-Qiang Zhang, Huan Cui, Fang-Hua Zhang, Qun Hao

This proposed method is verified by simulations and experiments compared with conventional GI, retina-like GI and GI using patterns optimized by principal component analysis.

Compressive Sensing

FaceInpainter: High Fidelity Face Adaptation to Heterogeneous Domains

no code implementations CVPR 2021 Jia Li, Zhaoyang Li, Jie Cao, Xingguang Song, Ran He

In this work, we propose a novel two-stage framework named FaceInpainter to implement controllable Identity-Guided Face Inpainting (IGFI) under heterogeneous domains.

Facial Inpainting

A Comparative Study on Schema-Guided Dialogue State Tracking

no code implementations NAACL 2021 Jie Cao, Yi Zhang

In this paper, we conduct in-depth comparative studies to understand the use of natural language description for schema in dialog state tracking.

Dialogue State Tracking Frame +1

Database Workload Characterization with Query Plan Encoders

1 code implementation26 May 2021 Debjyoti Paul, Jie Cao, Feifei Li, Vivek Srikumar

To address this workload characterization problem, we propose our query plan encoders that learn essential features and their correlations from query plans.

Representation Learning Transfer Learning

ReMix: Towards Image-to-Image Translation with Limited Data

no code implementations CVPR 2021 Jie Cao, Luanxuan Hou, Ming-Hsuan Yang, Ran He, Zhenan Sun

We interpolate training samples at the feature level and propose a novel content loss based on the perceptual relations among samples.

Data Augmentation Image-to-Image Translation +1

BSNet: Bi-Similarity Network for Few-shot Fine-grained Image Classification

1 code implementation29 Nov 2020 Xiaoxu Li, Jijie Wu, Zhuo Sun, Zhanyu Ma, Jie Cao, Jing-Hao Xue

Motivated by this, we propose a so-called \textit{Bi-Similarity Network} (\textit{BSNet}) that consists of a single embedding module and a bi-similarity module of two similarity measures.

Few-Shot Learning Fine-Grained Image Classification +1

ReMarNet: Conjoint Relation and Margin Learning for Small-Sample Image Classification

1 code implementation27 Jun 2020 Xiaoxu Li, Liyun Yu, Xiaochen Yang, Zhanyu Ma, Jing-Hao Xue, Jie Cao, Jun Guo

Despite achieving state-of-the-art performance, deep learning methods generally require a large amount of labeled data during training and may suffer from overfitting when the sample size is small.

Classification General Classification +1

OSLNet: Deep Small-Sample Classification with an Orthogonal Softmax Layer

1 code implementation20 Apr 2020 Xiaoxu Li, Dongliang Chang, Zhanyu Ma, Zheng-Hua Tan, Jing-Hao Xue, Jie Cao, Jingyi Yu, Jun Guo

A deep neural network of multiple nonlinear layers forms a large function space, which can easily lead to overfitting when it encounters small-sample data.

Classification General Classification

Augmented Parallel-Pyramid Net for Attention Guided Pose-Estimation

no code implementations17 Mar 2020 Luanxuan Hou, Jie Cao, Yuan Zhao, Haifeng Shen, Yiping Meng, Ran He, Jieping Ye

At last, we proposed a differentiable auto data augmentation method to further improve estimation accuracy.

Data Augmentation Pose Estimation

Informative Sample Mining Network for Multi-Domain Image-to-Image Translation

no code implementations ECCV 2020 Jie Cao, Huaibo Huang, Yi Li, Ran He, Zhenan Sun

The performance of multi-domain image-to-image translation has been significantly improved by recent progress in deep generative models.

Image-to-Image Translation Informativeness +1

Learning 3D Human Shape and Pose from Dense Body Parts

1 code implementation31 Dec 2019 Hongwen Zhang, Jie Cao, Guo Lu, Wanli Ouyang, Zhenan Sun

Reconstructing 3D human shape and pose from monocular images is challenging despite the promising results achieved by the most recent learning-based methods.

3D human pose and shape estimation 3D Human Reconstruction +2

Amazon at MRP 2019: Parsing Meaning Representations with Lexical and Phrasal Anchoring

no code implementations CONLL 2019 Jie Cao, Yi Zhang, Adel Youssef, Vivek Srikumar

This paper describes the system submission of our team Amazon to the shared task on Cross Framework Meaning Representation Parsing (MRP) at the 2019 Conference for Computational Language Learning (CoNLL).

PSGAN: Pose and Expression Robust Spatial-Aware GAN for Customizable Makeup Transfer

1 code implementation CVPR 2020 Wentao Jiang, Si Liu, Chen Gao, Jie Cao, Ran He, Jiashi Feng, Shuicheng Yan

In this paper, we address the makeup transfer task, which aims to transfer the makeup from a reference image to a source image.

Observing Dialogue in Therapy: Categorizing and Forecasting Behavioral Codes

1 code implementation ACL 2019 Jie Cao, Michael Tanana, Zac E. Imel, Eric Poitras, David C. Atkins, Vivek Srikumar

Specifically, we address the problem of providing real-time guidance to therapists with a dialogue observer that (1) categorizes therapist and client MI behavioral codes and, (2) forecasts codes for upcoming utterances to help guide the conversation and potentially alert the therapist.

Accurate Human Gesture Sensing With Coarse-Grained RF Signatures

no code implementations IEEE Access ( Volume: 7 ) 2019 Hongyu Sun, Zheng Lu, Chin-Ling Chen, Jie Cao, Zhenjiang Tan

RF-based gesture sensing and recognition has increasingly attracted intense academic and industrial interest due to its various device-free applications in daily life, such as elder monitoring, mobile games.

RF-based Gesture Recognition

Biphasic Learning of GANs for High-Resolution Image-to-Image Translation

no code implementations14 Apr 2019 Jie Cao, Huaibo Huang, Yi Li, Jingtuo Liu, Ran He, Zhenan Sun

In this work, we present a novel training framework for GANs, namely biphasic learning, to achieve image-to-image translation in multiple visual domains at $1024^2$ resolution.

Image-to-Image Translation Mutual Information Estimation +1

Cross-spectral Face Completion for NIR-VIS Heterogeneous Face Recognition

no code implementations10 Feb 2019 Ran He, Jie Cao, Lingxiao Song, Zhenan Sun, Tieniu Tan

This paper models high resolution heterogeneous face synthesis as a complementary combination of two components, a texture inpainting component and pose correction component.

Face Generation Face Recognition +3

Location-Centered House Price Prediction: A Multi-Task Learning Approach

no code implementations7 Jan 2019 Guangliang Gao, Zhifeng Bao, Jie Cao, A. K. Qin, Timos Sellis, Fellow, IEEE, Zhiang Wu

Regarding the choice of prediction model, we observe that a variety of approaches either consider the entire house data for modeling, or split the entire data and model each partition independently.

Multi-Task Learning

Geometry-Aware Face Completion and Editing

no code implementations9 Sep 2018 Linsen Song, Jie Cao, Linxiao Song, Yibo Hu, Ran He

Extensive experimental results qualitatively and quantitatively demonstrate that our network is able to generate visually pleasing face completion results and edit face attributes as well.

Facial Inpainting

Learning a High Fidelity Pose Invariant Model for High-resolution Face Frontalization

no code implementations NeurIPS 2018 Jie Cao, Yibo Hu, Hongwen Zhang, Ran He, Zhenan Sun

We decompose the prerequisite of warping into dense correspondence field estimation and facial texture map recovering, which are both well addressed by deep networks.

Dictionary Learning Face Recognition +1

Load Balanced GANs for Multi-view Face Image Synthesis

no code implementations21 Feb 2018 Jie Cao, Yibo Hu, Bing Yu, Ran He, Zhenan Sun

Multi-view face synthesis from a single image is an ill-posed problem and often suffers from serious appearance distortion.

Face Generation

An Effective Training Method For Deep Convolutional Neural Network

no code implementations31 Jul 2017 Yang Jiang, Zeyang Dou, Qun Hao, Jie Cao, Kun Gao, Xi Chen

In this paper, we propose the nonlinearity generation method to speed up and stabilize the training of deep convolutional neural networks.

Object Recognition

Recent Progress of Face Image Synthesis

no code implementations15 Jun 2017 Zhihe Lu, Zhihang Li, Jie Cao, Ran He, Zhenan Sun

Face synthesis has been a fascinating yet challenging problem in computer vision and machine learning.

Face Generation Face Recognition

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