b'Bin Xiao'

research

∙ 09/21/2023

TinyCLIP: CLIP Distillation via Affinity Mimicking and Weight Inheritance

In this paper, we propose a novel cross-modal distillation method, calle...

0 Kan Wu, et al. ∙

research

∙ 08/10/2023

Adv-Inpainting: Generating Natural and Transferable Adversarial Patch via Attention-guided Feature Fusion

The rudimentary adversarial attacks utilize additive noise to attack fac...

0 Yanjie Li, et al. ∙

research

∙ 07/24/2023

AdvDiff: Generating Unrestricted Adversarial Examples using Diffusion Models

Unrestricted adversarial attacks present a serious threat to deep learni...

0 Xuelong Dai, et al. ∙

research

∙ 06/04/2023

Fast Continual Multi-View Clustering with Incomplete Views

Multi-view clustering (MVC) has gained broad attention owing to its capa...

0 Xinhang Wan, et al. ∙

research

∙ 05/30/2023

Table Detection for Visually Rich Document Images

Table Detection (TD) is a fundamental task towards visually rich documen...

0 Bin Xiao, et al. ∙

research

∙ 05/21/2023

i-Code V2: An Autoregressive Generation Framework over Vision, Language, and Speech Data

The convergence of text, visual, and audio data is a key step towards hu...

0 ZiYi Yang, et al. ∙

research

∙ 05/04/2023

Revisiting Table Detection Datasets for Visually Rich Documents

Table Detection has become a fundamental task for visually rich document...

0 Bin Xiao, et al. ∙

research

∙ 04/23/2023

StyLess: Boosting the Transferability of Adversarial Examples

Adversarial attacks can mislead deep neural networks (DNNs) by adding im...

0 Kaisheng Liang, et al. ∙

research

∙ 03/14/2023

DAA: A Delta Age AdaIN operation for age estimation via binary code transformer

Naked eye recognition of age is usually based on comparison with the age...

0 Ping Chen, et al. ∙

research

∙ 02/15/2023

Revisiting Initializing Then Refining: An Incomplete and Missing Graph Imputation Network

With the development of various applications, such as social networks an...

0 Wenxuan Tu, et al. ∙

research

∙ 11/03/2022

Efficient Information Sharing in ICT Supply Chain Social Network via Table Structure Recognition

The global Information and Communications Technology (ICT) supply chain ...

0 Bin Xiao, et al. ∙

research

∙ 10/12/2022

Semantic Cross Attention for Few-shot Learning

Few-shot learning (FSL) has attracted considerable attention recently. A...

0 Bin Xiao, et al. ∙

research

∙ 08/11/2022

Handling big tabular data of ICT supply chains: a multi-task, machine-interpretable approach

Due to the characteristics of Information and Communications Technology ...

6 Bin Xiao, et al. ∙

research

∙ 07/27/2022

Partial Selfish Mining for More Profits

Mining attacks aim to gain an unfair share of extra rewards in the block...

0 Jiaping Yu, et al. ∙

research

∙ 07/26/2022

Learning Visual Representation from Modality-Shared Contrastive Language-Image Pre-training

Large-scale multi-modal contrastive pre-training has demonstrated great ...

7 Haoxuan You, et al. ∙

research

∙ 07/21/2022

TinyViT: Fast Pretraining Distillation for Small Vision Transformers

Vision transformer (ViT) recently has drawn great attention in computer ...

0 Kan Wu, et al. ∙

research

∙ 07/19/2022

Image Synthesis with Disentangled Attributes for Chest X-Ray Nodule Augmentation and Detection

Lung nodule detection in chest X-ray (CXR) images is common to early scr...

0 Zhenrong Shen, et al. ∙

research

∙ 05/26/2022

A Physical-World Adversarial Attack Against 3D Face Recognition

3D face recognition systems have been widely employed in intelligent ter...

0 Yanjie Li, et al. ∙

research

∙ 05/03/2022

i-Code: An Integrative and Composable Multimodal Learning Framework

Human intelligence is multimodal; we integrate visual, linguistic, and a...

1 ZiYi Yang, et al. ∙

research

∙ 04/22/2022

Multimodal Adaptive Distillation for Leveraging Unimodal Encoders for Vision-Language Tasks

Cross-modal encoders for vision-language (VL) tasks are often pretrained...

3 Zhecan Wang, et al. ∙

research

∙ 04/14/2022

MiniViT: Compressing Vision Transformers with Weight Multiplexing

Vision Transformer (ViT) models have recently drawn much attention in co...

0 Jinnian Zhang, et al. ∙

research

∙ 04/07/2022

DaViT: Dual Attention Vision Transformers

In this work, we introduce Dual Attention Vision Transformers (DaViT), a...

12 Mingyu Ding, et al. ∙

research

∙ 04/07/2022

Unified Contrastive Learning in Image-Text-Label Space

Visual recognition is recently learned via either supervised learning on...

20 Jianwei Yang, et al. ∙

research

∙ 03/08/2022

Table Structure Recognition with Conditional Attention

Tabular data in digital documents is widely used to express compact and ...

0 Bin Xiao, et al. ∙

research

∙ 01/15/2022

CLIP-TD: CLIP Targeted Distillation for Vision-Language Tasks

Contrastive language-image pretraining (CLIP) links vision and language ...

15 Zhecan Wang, et al. ∙

research

∙ 12/13/2021

Human-like Driving Decision at Unsignalized Intersections Based on Game Theory

Unsignalized intersection driving is challenging for automated vehicles....

0 Daofei Li, et al. ∙

research

∙ 11/22/2021

Florence: A New Foundation Model for Computer Vision

Automated visual understanding of our diverse and open world demands com...

4 Lu Yuan, et al. ∙

research

∙ 11/17/2021

Generating Unrestricted 3D Adversarial Point Clouds

Utilizing 3D point cloud data has become an urgent need for the deployme...

0 Xuelong Dai, et al. ∙

research

∙ 07/01/2021

Focal Self-attention for Local-Global Interactions in Vision Transformers

Recently, Vision Transformer and its variants have shown great promise o...

4 Jianwei Yang, et al. ∙

research

∙ 06/22/2021

Long-term Cross Adversarial Training: A Robust Meta-learning Method for Few-shot Classification Tasks

Meta-learning model can quickly adapt to new tasks using few-shot labele...

0 Fan Liu, et al. ∙

research

∙ 06/17/2021

Efficient Self-supervised Vision Transformers for Representation Learning

This paper investigates two techniques for developing efficient self-sup...

5 Chunyuan Li, et al. ∙

research

∙ 06/15/2021

Dynamic Head: Unifying Object Detection Heads with Attentions

The complex nature of combining localization and classification in objec...

3 Xiyang Dai, et al. ∙

research

∙ 05/18/2021

Deep Learning-based Physical-Layer Secret Key Generation for FDD Systems

Physical-layer key generation (PKG) establishes cryptographic keys from ...

0 Xinwei Zhang, et al. ∙

research

∙ 04/13/2021

Lite-HRNet: A Lightweight High-Resolution Network

We present an efficient high-resolution network, Lite-HRNet, for human p...

0 Changqian Yu, et al. ∙

research

∙ 04/06/2021

Bottom-Up Human Pose Estimation Via Disentangled Keypoint Regression

In this paper, we are interested in the bottom-up paradigm of estimating...

0 Zigang Geng, et al. ∙

research

∙ 03/29/2021

CvT: Introducing Convolutions to Vision Transformers

We present in this paper a new architecture, named Convolutional vision ...

30 Haiping Wu, et al. ∙

research

∙ 03/29/2021

Multi-Scale Vision Longformer: A New Vision Transformer for High-Resolution Image Encoding

This paper presents a new Vision Transformer (ViT) architecture Multi-Sc...

9 Pengchuan Zhang, et al. ∙

research

∙ 12/11/2020

Color-related Local Binary Pattern: A Learned Local Descriptor for Color Image Recognition

Local binary pattern (LBP) as a kind of local feature has shown its simp...

17 Bin Xiao, et al. ∙

research

∙ 12/03/2020

D-Unet: A Dual-encoder U-Net for Image Splicing Forgery Detection and Localization

Recently, many detection methods based on convolutional neural networks ...

11 Xiuli Bi, et al. ∙

research

∙ 09/09/2020

Proxy Network for Few Shot Learning

The use of a few examples for each class to train a predictive model tha...

2 Bin Xiao, et al. ∙

research

∙ 06/28/2020

Bottom-Up Human Pose Estimation by Ranking Heatmap-Guided Adaptive Keypoint Estimates

The typical bottom-up human pose estimation framework includes two stage...

3 Ke Sun, et al. ∙

research

∙ 05/18/2020

Beam-Domain Secret Key Generation for Multi-User Massive MIMO Networks

Physical-layer key generation (PKG) in multi-user massive MIMO networks ...

0 You Chen, et al. ∙

research

∙ 08/27/2019

Bottom-up Higher-Resolution Networks for Multi-Person Pose Estimation

In this paper, we are interested in bottom-up multi-person human pose es...

9 Bowen Cheng, et al. ∙

research

∙ 08/20/2019

Deep High-Resolution Representation Learning for Visual Recognition

High-resolution representations are essential for position-sensitive vis...

0 Jingdong Wang, et al. ∙

research

∙ 04/09/2019

High-Resolution Representations for Labeling Pixels and Regions

High-resolution representation learning plays an essential role in many ...

6 Ke Sun, et al. ∙

research

∙ 02/25/2019

Deep High-Resolution Representation Learning for Human Pose Estimation

This is an official pytorch implementation of Deep High-Resolution Repre...

0 Ke Sun, et al. ∙

research

∙ 04/17/2018

Simple Baselines for Human Pose Estimation and Tracking

There has been significant progress on pose estimation and increasing in...

0 Bin Xiao, et al. ∙

research

∙ 11/22/2017

Integral Human Pose Regression

State-of-the-art human pose estimation methods are dominated by complex ...

0 Xiao Sun, et al. ∙

research

∙ 07/10/2017

Interleaved Group Convolutions for Deep Neural Networks

In this paper, we present a simple and modularized neural network archit...

0 Ting Zhang, et al. ∙

Bin Xiao

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