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09/21/2023
TinyCLIP: CLIP Distillation via Affinity Mimicking and Weight Inheritance
In this paper, we propose a novel cross-modal distillation method, calle...
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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...
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07/24/2023
AdvDiff: Generating Unrestricted Adversarial Examples using Diffusion Models
Unrestricted adversarial attacks present a serious threat to deep learni...
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06/04/2023
Fast Continual Multi-View Clustering with Incomplete Views
Multi-view clustering (MVC) has gained broad attention owing to its capa...
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05/30/2023
Table Detection for Visually Rich Document Images
Table Detection (TD) is a fundamental task towards visually rich documen...
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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...
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05/04/2023
Revisiting Table Detection Datasets for Visually Rich Documents
Table Detection has become a fundamental task for visually rich document...
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04/23/2023
StyLess: Boosting the Transferability of Adversarial Examples
Adversarial attacks can mislead deep neural networks (DNNs) by adding im...
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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...
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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...
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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 ...
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10/12/2022
Semantic Cross Attention for Few-shot Learning
Few-shot learning (FSL) has attracted considerable attention recently. A...
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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 ...
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07/27/2022
Partial Selfish Mining for More Profits
Mining attacks aim to gain an unfair share of extra rewards in the block...
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07/26/2022
Learning Visual Representation from Modality-Shared Contrastive Language-Image Pre-training
Large-scale multi-modal contrastive pre-training has demonstrated great ...
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07/21/2022
TinyViT: Fast Pretraining Distillation for Small Vision Transformers
Vision transformer (ViT) recently has drawn great attention in computer ...
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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...
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05/26/2022
A Physical-World Adversarial Attack Against 3D Face Recognition
3D face recognition systems have been widely employed in intelligent ter...
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05/03/2022
i-Code: An Integrative and Composable Multimodal Learning Framework
Human intelligence is multimodal; we integrate visual, linguistic, and a...
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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...
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04/14/2022
MiniViT: Compressing Vision Transformers with Weight Multiplexing
Vision Transformer (ViT) models have recently drawn much attention in co...
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04/07/2022
DaViT: Dual Attention Vision Transformers
In this work, we introduce Dual Attention Vision Transformers (DaViT), a...
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04/07/2022
Unified Contrastive Learning in Image-Text-Label Space
Visual recognition is recently learned via either supervised learning on...
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03/08/2022
Table Structure Recognition with Conditional Attention
Tabular data in digital documents is widely used to express compact and ...
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01/15/2022
CLIP-TD: CLIP Targeted Distillation for Vision-Language Tasks
Contrastive language-image pretraining (CLIP) links vision and language ...
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12/13/2021
Human-like Driving Decision at Unsignalized Intersections Based on Game Theory
Unsignalized intersection driving is challenging for automated vehicles....
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11/22/2021
Florence: A New Foundation Model for Computer Vision
Automated visual understanding of our diverse and open world demands com...
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11/17/2021
Generating Unrestricted 3D Adversarial Point Clouds
Utilizing 3D point cloud data has become an urgent need for the deployme...
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07/01/2021
Focal Self-attention for Local-Global Interactions in Vision Transformers
Recently, Vision Transformer and its variants have shown great promise o...
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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...
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06/17/2021
Efficient Self-supervised Vision Transformers for Representation Learning
This paper investigates two techniques for developing efficient self-sup...
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06/15/2021
Dynamic Head: Unifying Object Detection Heads with Attentions
The complex nature of combining localization and classification in objec...
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05/18/2021
Deep Learning-based Physical-Layer Secret Key Generation for FDD Systems
Physical-layer key generation (PKG) establishes cryptographic keys from ...
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04/13/2021
Lite-HRNet: A Lightweight High-Resolution Network
We present an efficient high-resolution network, Lite-HRNet, for human p...
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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...
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03/29/2021
CvT: Introducing Convolutions to Vision Transformers
We present in this paper a new architecture, named Convolutional vision ...
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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...
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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...
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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 ...
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09/09/2020
Proxy Network for Few Shot Learning
The use of a few examples for each class to train a predictive model tha...
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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...
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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 ...
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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...
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08/20/2019
Deep High-Resolution Representation Learning for Visual Recognition
High-resolution representations are essential for position-sensitive vis...
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04/09/2019
High-Resolution Representations for Labeling Pixels and Regions
High-resolution representation learning plays an essential role in many ...
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02/25/2019
Deep High-Resolution Representation Learning for Human Pose Estimation
This is an official pytorch implementation of Deep High-Resolution Repre...
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04/17/2018
Simple Baselines for Human Pose Estimation and Tracking
There has been significant progress on pose estimation and increasing in...
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11/22/2017
Integral Human Pose Regression
State-of-the-art human pose estimation methods are dominated by complex ...
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07/10/2017