Search Results for author: Xin Jin

Found 56 papers, 18 papers with code

Pseudo-labelling and Meta Reweighting Learning for Image Aesthetic Quality Assessment

no code implementations8 Jan 2022 Xin Jin, Hao Lou, Huang Heng, XiaoDong Li, Shuai Cui, Xiaokun Zhang, Xiqiao Li

In the tasks of image aesthetic quality evaluation, it is difficult to reach both the high score area and low score area due to the normal distribution of aesthetic datasets.

Learning Cross-Scale Prediction for Efficient Neural Video Compression

no code implementations26 Dec 2021 Zongyu Guo, Runsen Feng, Zhizheng Zhang, Xin Jin, Zhibo Chen

In this paper, we present the first neural video codec that can compete with the latest coding standard H. 266/VVC in terms of sRGB PSNR on UVG dataset for the low-latency mode.

Motion Compensation Optical Flow Estimation +2

The MVTec 3D-AD Dataset for Unsupervised 3D Anomaly Detection and Localization

1 code implementation16 Dec 2021 Paul Bergmann, Xin Jin, David Sattlegger, Carsten Steger

We introduce the first comprehensive 3D dataset for the task of unsupervised anomaly detection and localization.

Unsupervised Anomaly Detection

Unleashing the Potential of Unsupervised Pre-Training with Intra-Identity Regularization for Person Re-Identification

1 code implementation1 Dec 2021 Zizheng Yang, Xin Jin, Kecheng Zheng, Feng Zhao

During the pre-training, we attempt to address two critical issues for learning fine-grained ReID features: (1) the augmentations in CL pipeline may distort the discriminative clues in person images.

Contrastive Learning Person Re-Identification +2

Confounder Identification-free Causal Visual Feature Learning

no code implementations26 Nov 2021 Xin Li, Zhizheng Zhang, Guoqiang Wei, Cuiling Lan, Wenjun Zeng, Xin Jin, Zhibo Chen

In this paper, we propose a novel Confounder Identification-free Causal Visual Feature Learning (CICF) method, which obviates the need for identifying confounders.

Domain Generalization Meta-Learning

Few-Shot Real Image Restoration via Distortion-Relation Guided Transfer Learning

no code implementations25 Nov 2021 Xin Li, Xin Jin, Jun Fu, Xiaoyuan Yu, Bei Tong, Zhibo Chen

DRTL assigns a knowledge graph to capture the distortion relation between auxiliary tasks (i. e., synthetic distortions) and target tasks (i. e., real distortions with few images), and then adopt a gradient weighting strategy to guide the knowledge transfer from auxiliary task to target task.

Image Restoration Meta-Learning +1

Meta Clustering Learning for Large-scale Unsupervised Person Re-identification

no code implementations19 Nov 2021 Xin Jin, Tianyu He, Zhiheng Yin, Xu Shen, Tongliang Liu, Xinchao Wang, Jianqiang Huang, Xian-Sheng Hua, Zhibo Chen

Unsupervised Person Re-identification (U-ReID) with pseudo labeling recently reaches a competitive performance compared to fully-supervised ReID methods based on modern clustering algorithms.

Unsupervised Person Re-Identification

MC-LCR: Multi-modal contrastive classification by locally correlated representations for effective face forgery detection

no code implementations7 Oct 2021 Gaojian Wang, Qian Jiang, Xin Jin, Wei Li, Xiaohui Cui

Moreover, we make a key observation that subtle forgery artifacts can be further exposed in the patch-wise phase and amplitude spectrum and exhibit different clues.

Unleash the Potential of Adaptation Models via Dynamic Domain Labels

no code implementations29 Sep 2021 Xin Jin, Tianyu He, Xu Shen, Songhua Wu, Tongliang Liu, Xinchao Wang, Jianqiang Huang, Zhibo Chen, Xian-Sheng Hua

In this paper, we propose an embarrassing simple yet highly effective adversarial domain adaptation (ADA) method for effectively training models for alignment.

Domain Adaptation

A HYPOTHESIS FOR THE COGNITIVE DIFFICULTY OF IMAGES

no code implementations29 Sep 2021 Xu Cheng, Xin Wang, Haotian Xue, Zhengyang Liang, Xin Jin, Quanshi Zhang

This paper proposes a hypothesis to analyze the underlying reason for the cognitive difficulty of an image from two perspectives, i. e. a cognitive image usually makes a DNN strongly activated by cognitive concepts; discarding massive non-cognitive concepts may also help the DNN focus on cognitive concepts.

Focusing on Persons: Colorizing Old Images Learning from Modern Historical Movies

1 code implementation14 Aug 2021 Xin Jin, Zhonglan Li, Ke Liu, Dongqing Zou, XiaoDong Li, Xingfan Zhu, Ziyin Zhou, Qilong Sun, Qingyu Liu

Classification sub-module supplies classifying of images according to the eras, nationalities and garment types; Parsing sub-network supplies the semantic for person contours, clothing and background in the image to achieve more accurate colorization of clothes and persons and prevent color overflow.

Colorization Semantic Parsing

Can we imitate the principal investor's behavior to learn option price?

no code implementations24 May 2021 Xin Jin

This paper presents a framework of imitating the principal investor's behavior for optimal pricing and hedging options.

Decision Making Time Series +1

Cloth-Changing Person Re-identification from A Single Image with Gait Prediction and Regularization

1 code implementation29 Mar 2021 Xin Jin, Tianyu He, Kecheng Zheng, Zhiheng Yin, Xu Shen, Zhen Huang, Ruoyu Feng, Jianqiang Huang, Xian-Sheng Hua, Zhibo Chen

Specifically, we introduce Gait recognition as an auxiliary task to drive the Image ReID model to learn cloth-agnostic representations by leveraging personal unique and cloth-independent gait information, we name this framework as GI-ReID.

Gait Recognition Person Re-Identification

Re-energizing Domain Discriminator with Sample Relabeling for Adversarial Domain Adaptation

no code implementations ICCV 2021 Xin Jin, Cuiling Lan, Wenjun Zeng, Zhibo Chen

Many unsupervised domain adaptation (UDA) methods exploit domain adversarial training to align the features to reduce domain gap, where a feature extractor is trained to fool a domain discriminator in order to have aligned feature distributions.

Unsupervised Domain Adaptation

Local Patch AutoAugment with Multi-Agent Collaboration

2 code implementations20 Mar 2021 Shiqi Lin, Tao Yu, Ruoyu Feng, Xin Li, Xin Jin, Zhibo Chen

We formulate it as a multi-agent reinforcement learning (MARL) problem, where each agent learns an augmentation policy for each patch based on its content together with the semantics of the whole image.

Data Augmentation Fine-Grained Image Recognition +2

Dense Interaction Learning for Video-based Person Re-identification

no code implementations ICCV 2021 Tianyu He, Xin Jin, Xu Shen, Jianqiang Huang, Zhibo Chen, Xian-Sheng Hua

The CNN encoder is responsible for efficiently extracting discriminative spatial features while the DI decoder is designed to densely model spatial-temporal inherent interaction across frames.

Video-Based Person Re-Identification

Style Normalization and Restitution for Domain Generalization and Adaptation

1 code implementation3 Jan 2021 Xin Jin, Cuiling Lan, Wenjun Zeng, Zhibo Chen

In this paper, we design a novel Style Normalization and Restitution module (SNR) to simultaneously ensure both high generalization and discrimination capability of the networks.

Domain Generalization Object Detection +2

Learned Block-based Hybrid Image Compression

no code implementations17 Dec 2020 Yaojun Wu, Xin Li, Zhizheng Zhang, Xin Jin, Zhibo Chen

Recent works on learned image compression perform encoding and decoding processes in a full-resolution manner, resulting in two problems when deployed for practical applications.

Image Compression MS-SSIM +1

Learning Omni-frequency Region-adaptive Representations for Real Image Super-Resolution

no code implementations11 Dec 2020 Xin Li, Xin Jin, Tao Yu, Yingxue Pang, Simeng Sun, Zhizheng Zhang, Zhibo Chen

Traditional single image super-resolution (SISR) methods that focus on solving single and uniform degradation (i. e., bicubic down-sampling), typically suffer from poor performance when applied into real-world low-resolution (LR) images due to the complicated realistic degradations.

Image Super-Resolution

Deep Multimodality Learning for UAV Video Aesthetic Quality Assessment

1 code implementation4 Nov 2020 Qi Kuang, Xin Jin, Qinping Zhao, Bin Zhou

Our model can judge whether a UAV video was shot by professional photographers or amateurs together with the scene type classification.

Video Classification

A Deep Drift-Diffusion Model for Image Aesthetic Score Distribution Prediction

no code implementations15 Oct 2020 Xin Jin, Xiqiao Li, Heng Huang, XiaoDong Li, Xinghui Zhou

In this paper, we propose a Deep Drift-Diffusion (DDD) model inspired by psychologists to predict aesthetic score distribution from images.

FAN: Frequency Aggregation Network for Real Image Super-resolution

no code implementations30 Sep 2020 Yingxue Pang, Xin Li, Xin Jin, Yaojun Wu, Jianzhao Liu, Sen Liu, Zhibo Chen

Specifically, we extract different frequencies of the LR image and pass them to a channel attention-grouped residual dense network (CA-GRDB) individually to output corresponding feature maps.

Image Super-Resolution SSIM

On Efficient Constructions of Checkpoints

no code implementations ICML 2020 Yu Chen, Zhenming Liu, Bin Ren, Xin Jin

Efficient construction of checkpoints/snapshots is a critical tool for training and diagnosing deep learning models.

Quantization

Hierarchical Context Embedding for Region-based Object Detection

no code implementations ECCV 2020 Zhao-Min Chen, Xin Jin, Borui Zhao, Xiu-Shen Wei, Yanwen Guo

To address this issue, we present a simple but effective Hierarchical Context Embedding (HCE) framework, which can be applied as a plug-and-play component, to facilitate the classification ability of a series of region-based detectors by mining contextual cues.

Object Detection

Learning Disentangled Feature Representation for Hybrid-distorted Image Restoration

no code implementations ECCV 2020 Xin Li, Xin Jin, Jianxin Lin, Tao Yu, Sen Liu, Yaojun Wu, Wei Zhou, Zhibo Chen

Hybrid-distorted image restoration (HD-IR) is dedicated to restore real distorted image that is degraded by multiple distortions.

Image Restoration

Feature Alignment and Restoration for Domain Generalization and Adaptation

no code implementations22 Jun 2020 Xin Jin, Cuiling Lan, Wen-Jun Zeng, Zhibo Chen

To ensure high discrimination, we propose a Feature Restoration (FR) operation to distill task-relevant features from the residual information and use them to compensate for the aligned features.

Domain Generalization Unsupervised Domain Adaptation

Is Network the Bottleneck of Distributed Training?

1 code implementation17 Jun 2020 Zhen Zhang, Chaokun Chang, Haibin Lin, Yida Wang, Raman Arora, Xin Jin

As such, we advocate that the real challenge of distributed training is for the network community to develop high-performance network transport to fully utilize the network capacity and achieve linear scale-out.

Global Distance-distributions Separation for Unsupervised Person Re-identification

no code implementations ECCV 2020 Xin Jin, Cuiling Lan, Wen-Jun Zeng, Zhibo Chen

To address this problem, we introduce a global distance-distributions separation (GDS) constraint over the two distributions to encourage the clear separation of positive and negative samples from a global view.

Domain Adaptation POS +1

On Construction of the ASR-oriented Indian English Pronunciation Dictionary

no code implementations LREC 2020 Xian Huang, Xin Jin, Qike Li, Keliang Zhang

An Automatic Speech Recognition (ASR) system simply trained on British English (BE) /American English (AE) speech data and using the BE/AE pronunciation dictionary performs much worse when applied to IE.

Speech Recognition

Exploring Categorical Regularization for Domain Adaptive Object Detection

1 code implementation CVPR 2020 Chang-Dong Xu, Xing-Ran Zhao, Xin Jin, Xiu-Shen Wei

Specifically, by integrating an image-level multi-label classifier upon the detection backbone, we can obtain the sparse but crucial image regions corresponding to categorical information, thanks to the weakly localization ability of the classification manner.

Domain Adaptation Object Detection

Uncertainty-Aware Multi-Shot Knowledge Distillation for Image-Based Object Re-Identification

no code implementations15 Jan 2020 Xin Jin, Cuiling Lan, Wen-Jun Zeng, Zhibo Chen

To the best of our knowledge, we are the first to make use of multi-shots of an object in a teacher-student learning manner for effectively boosting the single image based re-id.

Knowledge Distillation

Region Normalization for Image Inpainting

1 code implementation23 Nov 2019 Tao Yu, Zongyu Guo, Xin Jin, Shilin Wu, Zhibo Chen, Weiping Li, Zhizheng Zhang, Sen Liu

Most previous image inpainting methods apply FN in their networks without considering the impact of the corrupted regions of the input image on normalization, e. g. mean and variance shifts.

Affine Transformation Image Inpainting

Aesthetic Attributes Assessment of Images

2 code implementations11 Jul 2019 Xin Jin, Le Wu, Geng Zhao, Xiao-Dong Li, Xiaokun Zhang, Shiming Ge, Dongqing Zou, Bin Zhou, Xinghui Zhou

This is a new formula of image aesthetic assessment, which predicts aesthetic attributes captions together with the aesthetic score of each attribute.

Image Captioning Transfer Learning

Facial Makeup Transfer Combining Illumination Transfer

no code implementations8 Jul 2019 Xin Jin, Rui Han, Ning Ning, Xiao-Dong Li, Xiaokun Zhang

To meet the women appearance needs, we present a novel virtual experience approach of facial makeup transfer, developed into windows platform application software.

Facial Makeup Transfer

A Survey and Experimental Analysis of Distributed Subgraph Matching

1 code implementation27 Jun 2019 Longbin Lai, Zhu Qing, Zhengyi Yang, Xin Jin, Zhengmin Lai, Ran Wang, Kongzhang Hao, Xuemin Lin, Lu Qin, Wenjie Zhang, Ying Zhang, Zhengping Qian, Jingren Zhou

We conduct extensive experiments for both unlabelled matching and labelled matching to analyze the performance of distributed subgraph matching under various settings, which is finally summarized as a practical guide.

Databases

Semantics-Aligned Representation Learning for Person Re-identification

1 code implementation30 May 2019 Xin Jin, Cuiling Lan, Wen-Jun Zeng, Guoqiang Wei, Zhibo Chen

Specifically, we build a Semantics Aligning Network (SAN) which consists of a base network as encoder (SA-Enc) for re-ID, and a decoder (SA-Dec) for reconstructing/regressing the densely semantics aligned full texture image.

Person Re-Identification Representation Learning +1

Harmonia: Near-Linear Scalability for Replicated Storage with In-Network Conflict Detection

no code implementations18 Apr 2019 Hang Zhu, Zhihao Bai, Jialin Li, Ellis Michael, Dan Ports, Ion Stoica, Xin Jin

Experimental results show that Harmonia improves the throughput of these protocols by up to 10X for a replication factor of 10, providing near-linear scalability up to the limit of our testbed.

Distributed, Parallel, and Cluster Computing

Relation-Aware Global Attention for Person Re-identification

1 code implementation CVPR 2020 Zhizheng Zhang, Cuiling Lan, Wen-Jun Zeng, Xin Jin, Zhibo Chen

For person re-identification (re-id), attention mechanisms have become attractive as they aim at strengthening discriminative features and suppressing irrelevant ones, which matches well the key of re-id, i. e., discriminative feature learning.

Image Classification Person Re-Identification +1

Neural Packet Classification

no code implementations27 Feb 2019 Eric Liang, Hang Zhu, Xin Jin, Ion Stoica

First, many of the existing solutions are iteratively building a decision tree by splitting nodes in the tree.

General Classification

Flash: Efficient Dynamic Routing for Offchain Networks

2 code implementations14 Feb 2019 Peng Wang, Hong Xu, Xin Jin, Tao Wang

Mice payments are directly sent by looking up a routing table with a few precomputed paths to reduce probing overhead.

Networking and Internet Architecture

Unsupervised Single Image Deraining with Self-supervised Constraints

no code implementations21 Nov 2018 Xin Jin, Zhibo Chen, Jianxin Lin, Zhikai Chen, Wei Zhou

Most existing single image deraining methods require learning supervised models from a large set of paired synthetic training data, which limits their generality, scalability and practicality in real-world multimedia applications.

Single Image Deraining

Unsupervised Learnable Sinogram Inpainting Network (SIN) for Limited Angle CT reconstruction

no code implementations9 Nov 2018 Ji Zhao, Zhiqiang Chen, Li Zhang, Xin Jin

In this paper, we propose a sinogram inpainting network (SIN) to solve limited-angle CT reconstruction problem, which is a very challenging ill-posed issue and of great interest for several clinical applications.

Medical Physics Image and Video Processing

Learning for Video Compression

no code implementations26 Apr 2018 Zhibo Chen, Tianyu He, Xin Jin, Feng Wu

One key challenge to learning-based video compression is that motion predictive coding, a very effective tool for video compression, can hardly be trained into a neural network.

Multimedia Image and Video Processing

Multi-level Chaotic Maps for 3D Textured Model Encryption

no code implementations25 Sep 2017 Xin Jin, Shuyun Zhu, Le Wu, Geng Zhao, Xiao-Dong Li, Quan Zhou, Huimin Lu

In this work, a multi-level chaotic maps models for 3D textured encryption was presented by observing the different contributions for recognizing cipher 3D models between vertices (point cloud), polygons and textures.

Single Reference Image based Scene Relighting via Material Guided Filtering

no code implementations23 Aug 2017 Xin Jin, Yannan Li, Ningning Liu, Xiao-Dong Li, Xianggang Jiang, Chaoen Xiao, Shiming Ge

We propose a novel outdoor scene relighting method, which needs only a single reference image and is based on material constrained layer decomposition.

Image Relighting

Predicting Aesthetic Score Distribution through Cumulative Jensen-Shannon Divergence

2 code implementations23 Aug 2017 Xin Jin, Le Wu, Xiao-Dong Li, Siyu Chen, Siwei Peng, Jingying Chi, Shiming Ge, Chenggen Song, Geng Zhao

Thus, a novel CNN based on the Cumulative distribution with Jensen-Shannon divergence (CJS-CNN) is presented to predict the aesthetic score distribution of human ratings, with a new reliability-sensitive learning method based on the kurtosis of the score distribution, which eliminates the requirement of the original full data of human ratings (without normalization).

Privacy Preserving Face Retrieval in the Cloud for Mobile Users

no code implementations9 Aug 2017 Xin Jin, Shiming Ge, Chenggen Song

The experimental results reveal that our protocol can successfully retrieve the proper photos from the cloud server and protect the user photos and the face detector.

ILGNet: Inception Modules with Connected Local and Global Features for Efficient Image Aesthetic Quality Classification using Domain Adaptation

2 code implementations7 Oct 2016 Xin Jin, Le Wu, Xiao-Dong Li, Xiaokun Zhang, Jingying Chi, Siwei Peng, Shiming Ge, Geng Zhao, Shuying Li

Thus, it is easy to use a pre-trained GoogLeNet for large-scale image classification problem and fine tune our connected layers on an large scale database of aesthetic related images: AVA, i. e. \emph{domain adaptation}.

Domain Adaptation General Classification +2

Face Alignment In-the-Wild: A Survey

no code implementations15 Aug 2016 Xin Jin, Xiaoyang Tan

Over the last two decades, face alignment or localizing fiducial facial points has received increasing attention owing to its comprehensive applications in automatic face analysis.

Face Alignment Robust Face Alignment

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