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09/18/2023
DFormer: Rethinking RGBD Representation Learning for Semantic Segmentation
We present DFormer, a novel RGB-D pretraining framework to learn transfe...
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09/12/2023
Fast Sparse PCA via Positive Semidefinite Projection for Unsupervised Feature Selection
In the field of unsupervised feature selection, sparse principal compone...
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09/08/2023
Grouping Boundary Proposals for Fast Interactive Image Segmentation
Geodesic models are known as an efficient tool for solving various image...
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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...
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08/13/2023
Few-shot Class-incremental Learning: A Survey
Few-shot Class-Incremental Learning (FSCIL) presents a unique challenge ...
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08/09/2023
Pareto Invariant Representation Learning for Multimedia Recommendation
Multimedia recommendation involves personalized ranking tasks, where mul...
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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...
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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...
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07/11/2023
Unbiased Scene Graph Generation via Two-stage Causal Modeling
Despite the impressive performance of recent unbiased Scene Graph Genera...
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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...
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07/06/2023
Revisiting Computer-Aided Tuberculosis Diagnosis
Tuberculosis (TB) is a major global health threat, causing millions of d...
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06/15/2023
SplatFlow: Learning Multi-frame Optical Flow via Splatting
Occlusion problem remains a key challenge in Optical Flow Estimation (OF...
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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...
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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...
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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...
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05/14/2023
A Comprehensive Survey on Segment Anything Model for Vision and Beyond
Artificial intelligence (AI) is evolving towards artificial general inte...
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04/28/2023
Deep Intellectual Property: A Survey
With the widespread application in industrial manufacturing and commerci...
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04/27/2023
Direct Visual Servoing Based on Discrete Orthogonal Moments
This paper proposes a new approach to achieve direct visual servoing (DV...
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04/24/2023
Few-shot Class-incremental Pill Recognition
The automatic pill recognition system is of great significance in improv...
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04/13/2023
Boosting Convolutional Neural Networks with Middle Spectrum Grouped Convolution
This paper proposes a novel module called middle spectrum grouped convol...
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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 ...
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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...
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03/23/2023
FER-former: Multi-modal Transformer for Facial Expression Recognition
The ever-increasing demands for intuitive interactions in Virtual Realit...
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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...
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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. ...
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03/03/2023
Spatio-Temporal Structure Consistency for Semi-supervised Medical Image Classification
Intelligent medical diagnosis has shown remarkable progress based on the...
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02/26/2023
Two-Stream Joint-Training for Speaker Independent Acoustic-to-Articulatory Inversion
Acoustic-to-articulatory inversion (AAI) aims to estimate the parameters...
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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...
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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...
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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...
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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...
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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...
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01/03/2023
BS3D: Building-scale 3D Reconstruction from RGB-D Images
Various datasets have been proposed for simultaneous localization and ma...
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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...
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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...
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12/02/2022
Cross-Modal Mutual Learning for Cued Speech Recognition
Automatic Cued Speech Recognition (ACSR) provides an intelligent human-m...
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12/01/2022
Rethinking Two Consensuses of the Transferability in Deep Learning
Deep transfer learning (DTL) has formed a long-term quest toward enablin...
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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...
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11/04/2022
Boosting Binary Neural Networks via Dynamic Thresholds Learning
Developing lightweight Deep Convolutional Neural Networks (DCNNs) and Vi...
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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...
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10/10/2022
HiCo: Hierarchical Contrastive Learning for Ultrasound Video Model Pretraining
The self-supervised ultrasound (US) video model pretraining can use a sm...
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09/15/2022
MVNet: Memory Assistance and Vocal Reinforcement Network for Speech Enhancement
Speech enhancement improves speech quality and promotes the performance ...
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09/13/2022
SVNet: Where SO(3) Equivariance Meets Binarization on Point Cloud Representation
Efficiency and robustness are increasingly needed for applications on 3D...
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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...
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09/06/2022
Bag of Tricks for FGSM Adversarial Training
Adversarial training (AT) with samples generated by Fast Gradient Sign M...
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09/04/2022
SFS: Smart OS Scheduling for Serverless Functions
Serverless computing enables a new way of building and scaling cloud app...
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08/17/2022
Cross-Domain Few-Shot Classification via Inter-Source Stylization
Cross-Domain Few Shot Classification (CDFSC) leverages prior knowledge l...
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08/10/2022
KL-divergence Based Deep Learning for Discrete Time Model
Neural Network (Deep Learning) is a modern model in Artificial Intellige...
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08/05/2022
Data-free Backdoor Removal based on Channel Lipschitzness
Recent studies have shown that Deep Neural Networks (DNNs) are vulnerabl...
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08/03/2022
