b'Xin Jin'

research

∙ 06/20/2022

Short Video Uprising: How #BlackLivesMatter Content on TikTok Challenges the Protest Paradigm

This study uses TikTok (N = 8,173) to examine how short-form video platf...

Yanru Jiang, et al. ∙

research

∙ 06/15/2022

Mandheling: Mixed-Precision On-Device DNN Training with DSP Offloading

This paper proposes Mandheling, the first system that enables highly res...

Daliang Xu, et al. ∙

research

∙ 06/14/2022

Edge Security: Challenges and Issues

Edge computing is a paradigm that shifts data processing services to the...

Xin Jin, et al. ∙

research

∙ 04/30/2022

MiCS: Near-linear Scaling for Training Gigantic Model on Public Cloud

Existing general purpose frameworks for gigantic model training, i.e., m...

Zhen Zhang, et al. ∙

research

∙ 04/08/2022

Reusing the Task-specific Classifier as a Discriminator: Discriminator-free Adversarial Domain Adaptation

Adversarial learning has achieved remarkable performances for unsupervis...

Lin Chen, et al. ∙

research

∙ 04/02/2022

Unsupervised Coherent Video Cartoonization with Perceptual Motion Consistency

In recent years, creative content generations like style transfer and ne...

Zhenhuan Liu, et al. ∙

research

∙ 03/16/2022

Attribute Group Editing for Reliable Few-shot Image Generation

Few-shot image generation is a challenging task even using the state-of-...

Guanqi Ding, et al. ∙

research

∙ 01/25/2022

Semantically Video Coding: Instill Static-Dynamic Clues into Structured Bitstream for AI Tasks

Traditional media coding schemes typically encode image/video into a sem...

Xin Jin, et al. ∙

research

∙ 01/08/2022

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

In the tasks of image aesthetic quality evaluation, it is difficult to r...

Xin Jin, et al. ∙

research

∙ 12/26/2021

Learning Cross-Scale Prediction for Efficient Neural Video Compression

In this paper, we present the first neural video codec that can compete ...

Zongyu Guo, et al. ∙

research

∙ 12/16/2021

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

We introduce the first comprehensive 3D dataset for the task of unsuperv...

Paul Bergmann, et al. ∙

research

∙ 12/12/2021

Demystifying Developers' Issues in Distributed Training of Deep Learning Software

Deep learning (DL) has been pervasive in a wide spectrum of nowadays sof...

Diandian Gu, et al. ∙

research

∙ 12/01/2021

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

Existing person re-identification (ReID) methods typically directly load...

Zizheng Yang, et al. ∙

research

∙ 11/26/2021

Confounder Identification-free Causal Visual Feature Learning

Confounders in deep learning are in general detrimental to model's gener...

Xin Li, et al. ∙

research

∙ 11/25/2021

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

Collecting large clean-distorted training image pairs in real world is n...

Xin Li, et al. ∙

research

∙ 11/19/2021

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

Unsupervised Person Re-identification (U-ReID) with pseudo labeling rece...

Xin Jin, et al. ∙

research

∙ 10/07/2021

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

As the remarkable development of facial manipulation technologies is acc...

Gaojian Wang, et al. ∙

research

∙ 08/14/2021

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

In industry, there exist plenty of scenarios where old gray photos need ...

Xin Jin, et al. ∙

research

∙ 07/05/2021

FFR_FD: Effective and Fast Detection of DeepFakes Based on Feature Point Defects

The internet is filled with fake face images and videos synthesized by d...

Gaojian Wang, et al. ∙

research

∙ 07/03/2021

Multi-Objective Congestion Control

Decades of research on Internet congestion control (CC) has produced a p...

Yiqing Ma, et al. ∙

research

∙ 05/24/2021

Can we imitate stock price behavior to reinforcement learn option price?

This paper presents a framework of imitating the price behavior of the u...

Xin Jin, et al. ∙

research

∙ 03/29/2021

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

Cloth-Changing person re-identification (CC-ReID) aims at matching the s...

Xin Jin, et al. ∙

research

∙ 03/22/2021

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

Many unsupervised domain adaptation (UDA) methods exploit domain adversa...

Xin Jin, et al. ∙

research

∙ 03/16/2021

Dense Interaction Learning for Video-based Person Re-identification

Video-based person re-identification (re-ID) aims at matching the same p...

Tianyu He, et al. ∙

research

∙ 01/03/2021

Style Normalization and Restitution for DomainGeneralization and Adaptation

For many practical computer vision applications, the learned models usua...

Xin Jin, et al. ∙

research

∙ 12/19/2020

Confused Modulo Projection based Somewhat Homomorphic Encryption – Cryptosystem, Library and Applications on Secure Smart Cities

With the development of cloud computing, the storage and processing of m...

Xin Jin, et al. ∙

research

∙ 12/17/2020

Learned Block-based Hybrid Image Compression

Learned image compression based on neural networks have made huge progre...

Yaojun Wu, et al. ∙

research

∙ 12/11/2020

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

Traditional single image super-resolution (SISR) methods that focus on s...

Xin Li, et al. ∙

research

∙ 11/04/2020

Deep Multimodality Learning for UAV Video Aesthetic Quality Assessment

Despite the growing number of unmanned aerial vehicles (UAVs) and aerial...

Qi Kuang, et al. ∙

research

∙ 10/15/2020

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

The task of aesthetic quality assessment is complicated due to its subje...

Xin Jin, et al. ∙

research

∙ 10/12/2020

RackSched: A Microsecond-Scale Scheduler for Rack-Scale Computers (Technical Report)

Low-latency online services have strict Service Level Objectives (SLOs) ...

Hang Zhu, et al. ∙

research

∙ 09/30/2020

FAN: Frequency Aggregation Network for Real Image Super-resolution

Single image super-resolution (SISR) aims to recover the high-resolution...

Yingxue Pang, et al. ∙

research

∙ 09/28/2020

On Efficient Constructions of Checkpoints

Efficient construction of checkpoints/snapshots is a critical tool for t...

Yu Chen, et al. ∙

research

∙ 09/25/2020

AIM 2020 Challenge on Real Image Super-Resolution: Methods and Results

This paper introduces the real image Super-Resolution (SR) challenge tha...

Pengxu Wei, et al. ∙

research

∙ 08/04/2020

Hierarchical Context Embedding for Region-based Object Detection

State-of-the-art two-stage object detectors apply a classifier to a spar...

Zhao-Min Chen, et al. ∙

research

∙ 07/22/2020

Learning Disentangled Feature Representation for Hybrid-distorted Image Restoration

Hybrid-distorted image restoration (HD-IR) is dedicated to restore real ...

Xin Li, et al. ∙

research

∙ 06/22/2020

Feature Alignment and Restoration for Domain Generalization and Adaptation

For domain generalization (DG) and unsupervised domain adaptation (UDA),...

Xin Jin, et al. ∙

research

∙ 06/17/2020

Is Network the Bottleneck of Distributed Training?

Recently there has been a surge of research on improving the communicati...

Zhen Zhang, et al. ∙

research

∙ 06/01/2020

Global Distance-distributions Separation for Unsupervised Person Re-identification

Supervised person re-identification (ReID) often has poor scalability an...

Xin Jin, et al. ∙

research

∙ 05/22/2020

Style Normalization and Restitution for Generalizable Person Re-identification

Existing fully-supervised person re-identification (ReID) methods usuall...

Xin Jin, et al. ∙

research

∙ 03/20/2020

Exploring Categorical Regularization for Domain Adaptive Object Detection

In this paper, we tackle the domain adaptive object detection problem, w...

Chang-Dong Xu, et al. ∙

research

∙ 01/15/2020

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

Object re-identification (re-id) aims to identify a specific object acro...

Xin Jin, et al. ∙

research

∙ 11/23/2019

Region Normalization for Image Inpainting

Feature Normalization (FN) is an important technique to help neural netw...

Tao Yu, et al. ∙

research

∙ 07/11/2019

Aesthetic Attributes Assessment of Images

Image aesthetic quality assessment has been a relatively hot topic durin...

Xin Jin, et al. ∙

research

∙ 07/08/2019

Facial Makeup Transfer Combining Illumination Transfer

To meet the women appearance needs, we present a novel virtual experienc...

Xin Jin, et al. ∙

research

∙ 06/27/2019

A Survey and Experimental Analysis of Distributed Subgraph Matching

Recently there emerge many distributed algorithms that aim at solving su...

Longbin Lai, et al. ∙

research

∙ 05/30/2019

Semantics-Aligned Representation Learning for Person Re-identification

Person re-identification (reID) aims to match person images to retrieve ...

Xin Jin, et al. ∙

research

∙ 04/18/2019

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

Distributed storage employs replication to mask failures and improve ava...

Hang Zhu, et al. ∙

research

∙ 04/17/2019

CaseNet: Content-Adaptive Scale Interaction Networks for Scene Parsing

Objects in an image exhibit diverse scales. Adaptive receptive fields ar...

Xin Jin, et al. ∙

research

∙ 04/05/2019

Relation-Aware Global Attention

Attention mechanism aims to increase the representation power by focusin...

Zhizheng Zhang, et al. ∙

Xin Jin

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