b'Xian Wei'

research

∙ 07/27/2023

EqGAN: Feature Equalization Fusion for Few-shot Image Generation

Due to the absence of fine structure and texture information, existing f...

1 Yingbo Zhou, et al. ∙

research

∙ 07/25/2023

Curvature-based Transformer for Molecular Property Prediction

The prediction of molecular properties is one of the most important and ...

0 Yili Chen, et al. ∙

research

∙ 06/13/2023

Hyperbolic Graph Diffusion Model for Molecule Generation

Recently, diffusion models have achieved remarkable performance in data ...

0 Lingfeng Wen, et al. ∙

research

∙ 04/26/2023

Group Equivariant BEV for 3D Object Detection

Recently, 3D object detection has attracted significant attention and ac...

0 Hongwei Liu, et al. ∙

research

∙ 04/16/2023

Autoencoders with Intrinsic Dimension Constraints for Learning Low Dimensional Image Representations

Autoencoders have achieved great success in various computer vision appl...

1 Jianzhang Zheng, et al. ∙

research

∙ 04/12/2023

Multi-scale Geometry-aware Transformer for 3D Point Cloud Classification

Self-attention modules have demonstrated remarkable capabilities in capt...

0 Xian Wei, et al. ∙

research

∙ 02/27/2023

DuEqNet: Dual-Equivariance Network in Outdoor 3D Object Detection for Autonomous Driving

Outdoor 3D object detection has played an essential role in the environm...

0 Xihao Wang, et al. ∙

research

∙ 02/16/2023

A Survey of Geometric Optimization for Deep Learning: From Euclidean Space to Riemannian Manifold

Although Deep Learning (DL) has achieved success in complex Artificial I...

1 Yanhong Fei, et al. ∙

research

∙ 01/28/2023

CyclicFL: A Cyclic Model Pre-Training Approach to Efficient Federated Learning

Since random initial models in Federated Learning (FL) can easily result...

1 Pengyu Zhang, et al. ∙

research

∙ 12/05/2022

HierarchyFL: Heterogeneous Federated Learning via Hierarchical Self-Distillation

Federated learning (FL) has been recognized as a privacy-preserving dist...

1 Jun Xia, et al. ∙

research

∙ 09/17/2022

Hand and Arm Gesture-based Human-Robot Interaction: A Review

The study of Human-Robot Interaction (HRI) aims to create close and frie...

0 Xihao Wang, et al. ∙

research

∙ 09/11/2022

Continual Learning for Pose-Agnostic Object Recognition in 3D Point Clouds

Continual Learning aims to learn multiple incoming new tasks continually...

0 Xihao Wang, et al. ∙

research

∙ 08/16/2022

FedMR: Fedreated Learning via Model Recombination

As a promising privacy-preserving machine learning method, Federated Lea...

2 Ming Hu, et al. ∙

research

∙ 05/09/2022

Model-Contrastive Learning for Backdoor Defense

Along with the popularity of Artificial Intelligence (AI) techniques, an...

10 Zhihao Yue, et al. ∙

research

∙ 04/21/2022

Eliminating Backdoor Triggers for Deep Neural Networks Using Attention Relation Graph Distillation

Due to the prosperity of Artificial Intelligence (AI) techniques, more a...

8 Jun Xia, et al. ∙

research

∙ 03/11/2022

Learning from Attacks: Attacking Variational Autoencoder for Improving Image Classification

Adversarial attacks are often considered as threats to the robustness of...

2 Jianzhang Zheng, et al. ∙

research

∙ 02/03/2022

SparGE: Sparse Coding-based Patient Similarity Learning via Low-rank Constraints and Graph Embedding

Patient similarity assessment (PSA) is pivotal to evidence-based and per...

0 Xian Wei, et al. ∙

research

∙ 01/28/2022

O-ViT: Orthogonal Vision Transformer

Inspired by the tremendous success of the self-attention mechanism in na...

2 Yanhong Fei, et al. ∙

research

∙ 01/05/2022

Synthesizing Tensor Transformations for Visual Self-attention

Self-attention shows outstanding competence in capturing long-range rela...

0 Xian Wei, et al. ∙

research

∙ 12/27/2021

Learning Robust and Lightweight Model through Separable Structured Transformations

With the proliferation of mobile devices and the Internet of Things, dee...

2 Xian Wei, et al. ∙

research

∙ 12/27/2021

ViR:the Vision Reservoir

The most recent year has witnessed the success of applying the Vision Tr...

2 Xian Wei, et al. ∙

research

∙ 12/10/2021

Couplformer:Rethinking Vision Transformer with Coupling Attention Map

With the development of the self-attention mechanism, the Transformer mo...

0 Hai Lan, et al. ∙

research

∙ 11/29/2021

Efficient Federated Learning for AIoT Applications Using Knowledge Distillation

As a promising distributed machine learning paradigm, Federated Learning...

2 Tian Liu, et al. ∙

research

∙ 10/03/2021

Boost Neural Networks by Checkpoints

Training multiple deep neural networks (DNNs) and averaging their output...

0 Feng Wang, et al. ∙

research

∙ 04/01/2019

Deep Clustering With Intra-class Distance Constraint for Hyperspectral Images

The high dimensionality of hyperspectral images often results in the deg...

0 Jinguang Sun, et al. ∙

research

∙ 03/24/2019

Joint Learning of Discriminative Low-dimensional Image Representations Based on Dictionary Learning and Two-layer Orthogonal Projections

This work investigates the problem of efficiently learning discriminativ...

0 Xian Wei, et al. ∙

research

∙ 03/23/2019

1D-Convolutional Capsule Network for Hyperspectral Image Classification

Recently, convolutional neural networks (CNNs) have achieved excellent p...

18 Haitao Zhang, et al. ∙

research

∙ 10/08/2018

Trace Quotient with Sparsity Priors for Learning Low Dimensional Image Representations

This work studies the problem of learning appropriate low dimensional im...

4 Xian Wei, et al. ∙

research

∙ 12/19/2013

An Adaptive Dictionary Learning Approach for Modeling Dynamical Textures

Video representation is an important and challenging task in the compute...

0 Xian Wei, et al. ∙

Xian Wei

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