b'Li Liu'

research

∙ 09/18/2023

DFormer: Rethinking RGBD Representation Learning for Semantic Segmentation

We present DFormer, a novel RGB-D pretraining framework to learn transfe...

0 Bowen Yin, et al. ∙

research

∙ 09/12/2023

Fast Sparse PCA via Positive Semidefinite Projection for Unsupervised Feature Selection

In the field of unsupervised feature selection, sparse principal compone...

0 Junjing Zheng, et al. ∙

research

∙ 09/08/2023

Grouping Boundary Proposals for Fast Interactive Image Segmentation

Geodesic models are known as an efficient tool for solving various image...

0 Li Liu, et al. ∙

research

∙ 08/17/2023

A Survey on Deep Multi-modal Learning for Body Language Recognition and Generation

Body language (BL) refers to the non-verbal communication expressed thro...

0 Li Liu, et al. ∙

research

∙ 08/13/2023

Few-shot Class-incremental Learning: A Survey

Few-shot Class-Incremental Learning (FSCIL) presents a unique challenge ...

0 Jinghua Zhang, et al. ∙

research

∙ 08/09/2023

Pareto Invariant Representation Learning for Multimedia Recommendation

Multimedia recommendation involves personalized ranking tasks, where mul...

0 Shanshan Huang, et al. ∙

research

∙ 08/07/2023

Cuing Without Sharing: A Federated Cued Speech Recognition Framework via Mutual Knowledge Distillation

Cued Speech (CS) is a visual coding tool to encode spoken languages at t...

0 Yuxuan Zhang, et al. ∙

research

∙ 07/17/2023

ROFusion: Efficient Object Detection using Hybrid Point-wise Radar-Optical Fusion

Radars, due to their robustness to adverse weather conditions and abilit...

0 Liu Liu, et al. ∙

research

∙ 07/11/2023

Unbiased Scene Graph Generation via Two-stage Causal Modeling

Despite the impressive performance of recent unbiased Scene Graph Genera...

0 Shuzhou Sun, et al. ∙

research

∙ 07/07/2023

All in One: Exploring Unified Vision-Language Tracking with Multi-Modal Alignment

Current mainstream vision-language (VL) tracking framework consists of t...

0 Chunhui Zhang, et al. ∙

research

∙ 07/06/2023

Revisiting Computer-Aided Tuberculosis Diagnosis

Tuberculosis (TB) is a major global health threat, causing millions of d...

0 Yun Liu, et al. ∙

research

∙ 06/15/2023

SplatFlow: Learning Multi-frame Optical Flow via Splatting

Occlusion problem remains a key challenge in Optical Flow Estimation (OF...

0 Bo Wang, et al. ∙

research

∙ 06/05/2023

A Novel Interpretable and Generalizable Re-synchronization Model for Cued Speech based on a Multi-Cuer Corpus

Cued Speech (CS) is a multi-modal visual coding system combining lip rea...

0 Lufei Gao, et al. ∙

research

∙ 06/01/2023

Robust Backdoor Attack with Visible, Semantic, Sample-Specific, and Compatible Triggers

Deep neural networks (DNNs) can be manipulated to exhibit specific behav...

0 Ruotong Wang, et al. ∙

research

∙ 05/18/2023

Deep Reinforcement Learning-Based Control for Stomach Coverage Scanning of Wireless Capsule Endoscopy

Due to its non-invasive and painless characteristics, wireless capsule e...

0 Yameng Zhang, et al. ∙

research

∙ 05/14/2023

A Comprehensive Survey on Segment Anything Model for Vision and Beyond

Artificial intelligence (AI) is evolving towards artificial general inte...

0 Chunhui Zhang, et al. ∙

research

∙ 04/28/2023

Deep Intellectual Property: A Survey

With the widespread application in industrial manufacturing and commerci...

0 Yuchen Sun, et al. ∙

research

∙ 04/27/2023

Direct Visual Servoing Based on Discrete Orthogonal Moments

This paper proposes a new approach to achieve direct visual servoing (DV...

0 Yuhan Chen, et al. ∙

research

∙ 04/24/2023

Few-shot Class-incremental Pill Recognition

The automatic pill recognition system is of great significance in improv...

3 Jinghua Zhang, et al. ∙

research

∙ 04/13/2023

Boosting Convolutional Neural Networks with Middle Spectrum Grouped Convolution

This paper proposes a novel module called middle spectrum grouped convol...

0 Zhuo Su, et al. ∙

research

∙ 04/04/2023

Learning Invariant Representation via Contrastive Feature Alignment for Clutter Robust SAR Target Recognition

The deep neural networks (DNNs) have freed the synthetic aperture radar ...

4 Bowen Peng, et al. ∙

research

∙ 04/03/2023

Discovering and Explaining the Non-Causality of Deep Learning in SAR ATR

In recent years, deep learning has been widely used in SAR ATR and achie...

0 Weijie Li, et al. ∙

research

∙ 03/23/2023

FER-former: Multi-modal Transformer for Facial Expression Recognition

The ever-increasing demands for intuitive interactions in Virtual Realit...

0 Yande Li, et al. ∙

research

∙ 03/15/2023

Deep Learning for Cross-Domain Few-Shot Visual Recognition: A Survey

Deep learning has been highly successful in computer vision with large a...

0 Huali Xu, et al. ∙

research

∙ 03/15/2023

From Local Binary Patterns to Pixel Difference Networks for Efficient Visual Representation Learning

LBP is a successful hand-crafted feature descriptor in computer vision. ...

0 Zhuo Su, et al. ∙

research

∙ 03/03/2023

Spatio-Temporal Structure Consistency for Semi-supervised Medical Image Classification

Intelligent medical diagnosis has shown remarkable progress based on the...

0 Wentao Lei, et al. ∙

research

∙ 02/26/2023

Two-Stream Joint-Training for Speaker Independent Acoustic-to-Articulatory Inversion

Acoustic-to-articulatory inversion (AAI) aims to estimate the parameters...

0 Jianrong Wang, et al. ∙

research

∙ 02/21/2023

Bayesian Age Category Reconciliation for Age- and Cause-specific Under-five Mortality Estimates

Age-disaggregated health data is crucial for effective public health pla...

0 Shuxian Fan, et al. ∙

research

∙ 02/19/2023

Adversarial Machine Learning: A Systematic Survey of Backdoor Attack, Weight Attack and Adversarial Example

Adversarial machine learning (AML) studies the adversarial phenomenon of...

0 Baoyuan Wu, et al. ∙

research

∙ 02/12/2023

Generalized Few-Shot Continual Learning with Contrastive Mixture of Adapters

The goal of Few-Shot Continual Learning (FSCL) is to incrementally learn...

0 Yawen Cui, et al. ∙

research

∙ 01/24/2023

Uncertainty-Aware Distillation for Semi-Supervised Few-Shot Class-Incremental Learning

Given a model well-trained with a large-scale base dataset, Few-Shot Cla...

0 Yawen Cui, et al. ∙

research

∙ 01/05/2023

Enabling Augmented Segmentation and Registration in Ultrasound-Guided Spinal Surgery via Realistic Ultrasound Synthesis from Diagnostic CT Volume

This paper aims to tackle the issues on unavailable or insufficient clin...

0 Ang Li, et al. ∙

research

∙ 01/03/2023

BS3D: Building-scale 3D Reconstruction from RGB-D Images

Various datasets have been proposed for simultaneous localization and ma...

0 Janne Mustaniemi, et al. ∙

research

∙ 12/28/2022

TiG-BEV: Multi-view BEV 3D Object Detection via Target Inner-Geometry Learning

To achieve accurate and low-cost 3D object detection, existing methods p...

0 Peixiang Huang, et al. ∙

research

∙ 12/08/2022

Generating and Weighting Semantically Consistent Sample Pairs for Ultrasound Contrastive Learning

Well-annotated medical datasets enable deep neural networks (DNNs) to ga...

0 Yixiong Chen, et al. ∙

research

∙ 12/02/2022

Cross-Modal Mutual Learning for Cued Speech Recognition

Automatic Cued Speech Recognition (ACSR) provides an intelligent human-m...

0 Lei Liu, et al. ∙

research

∙ 12/01/2022

Rethinking Two Consensuses of the Transferability in Deep Learning

Deep transfer learning (DTL) has formed a long-term quest toward enablin...

0 Yixiong Chen, et al. ∙

research

∙ 11/25/2022

TAOTF: A Two-stage Approximately Orthogonal Training Framework in Deep Neural Networks

The orthogonality constraints, including the hard and soft ones, have be...

0 Taoyong Cui, et al. ∙

research

∙ 11/04/2022

Boosting Binary Neural Networks via Dynamic Thresholds Learning

Developing lightweight Deep Convolutional Neural Networks (DCNNs) and Vi...

0 Jiehua Zhang, et al. ∙

research

∙ 10/11/2022

CD-FSOD: A Benchmark for Cross-domain Few-shot Object Detection

Although few-shot object detection (FSOD) has attracted great research a...

0 Wuti Xiong, et al. ∙

research

∙ 10/10/2022

HiCo: Hierarchical Contrastive Learning for Ultrasound Video Model Pretraining

The self-supervised ultrasound (US) video model pretraining can use a sm...

0 Chunhui Zhang, et al. ∙

research

∙ 09/15/2022

MVNet: Memory Assistance and Vocal Reinforcement Network for Speech Enhancement

Speech enhancement improves speech quality and promotes the performance ...

0 Jianrong Wang, et al. ∙

research

∙ 09/13/2022

SVNet: Where SO(3) Equivariance Meets Binarization on Point Cloud Representation

Efficiency and robustness are increasingly needed for applications on 3D...

4 Zhuo Su, et al. ∙

research

∙ 09/11/2022

Scattering Model Guided Adversarial Examples for SAR Target Recognition: Attack and Defense

Deep Neural Networks (DNNs) based Synthetic Aperture Radar (SAR) Automat...

7 Bowen Peng, et al. ∙

research

∙ 09/06/2022

Bag of Tricks for FGSM Adversarial Training

Adversarial training (AT) with samples generated by Fast Gradient Sign M...

32 Zichao Li, et al. ∙

research

∙ 09/04/2022

SFS: Smart OS Scheduling for Serverless Functions

Serverless computing enables a new way of building and scaling cloud app...

0 Yuqi Fu, et al. ∙

research

∙ 08/17/2022

Cross-Domain Few-Shot Classification via Inter-Source Stylization

Cross-Domain Few Shot Classification (CDFSC) leverages prior knowledge l...

0 Huali Xu, et al. ∙

research

∙ 08/10/2022

KL-divergence Based Deep Learning for Discrete Time Model

Neural Network (Deep Learning) is a modern model in Artificial Intellige...

0 Li Liu, et al. ∙

research

∙ 08/05/2022

Data-free Backdoor Removal based on Channel Lipschitzness

Recent studies have shown that Deep Neural Networks (DNNs) are vulnerabl...

0 Runkai Zheng, et al. ∙

research

∙ 08/03/2022

Graph Signal Processing for Heterogeneous Change Detection Part II: Spectral Domain Analysis

This is the second part of the paper that provides a new strategy for th...

0 Yuli Sun, et al. ∙

Li Liu

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