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09/21/2023
Multi-level Asymmetric Contrastive Learning for Medical Image Segmentation Pre-training
Contrastive learning, which is a powerful technique for learning image-l...
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09/18/2023
Towards Self-Adaptive Pseudo-Label Filtering for Semi-Supervised Learning
Recent semi-supervised learning (SSL) methods typically include a filter...
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09/12/2023
Towards High-Quality Specular Highlight Removal by Leveraging Large-Scale Synthetic Data
This paper aims to remove specular highlights from a single object-level...
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09/01/2023
OpenIns3D: Snap and Lookup for 3D Open-vocabulary Instance Segmentation
Current 3D open-vocabulary scene understanding methods mostly utilize we...
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08/28/2023
Cross-Modal Retrieval: A Systematic Review of Methods and Future Directions
With the exponential surge in diverse multi-modal data, traditional uni-...
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08/27/2023
Sparse Sampling Transformer with Uncertainty-Driven Ranking for Unified Removal of Raindrops and Rain Streaks
In the real world, image degradations caused by rain often exhibit a com...
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08/20/2023
Rethinking Client Drift in Federated Learning: A Logit Perspective
Federated Learning (FL) enables multiple clients to collaboratively lear...
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08/20/2023
Federated Pseudo Modality Generation for Incomplete Multi-Modal MRI Reconstruction
While multi-modal learning has been widely used for MRI reconstruction, ...
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08/18/2023
Video-Instrument Synergistic Network for Referring Video Instrument Segmentation in Robotic Surgery
Robot-assisted surgery has made significant progress, with instrument se...
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08/09/2023
Branches Mutual Promotion for End-to-End Weakly Supervised Semantic Segmentation
End-to-end weakly supervised semantic segmentation aims at optimizing a ...
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07/27/2023
SuperCLUE: A Comprehensive Chinese Large Language Model Benchmark
Large language models (LLMs) have shown the potential to be integrated i...
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06/14/2023
A Simple Data Augmentation for Feature Distribution Skewed Federated Learning
Federated learning (FL) facilitates collaborative learning among multipl...
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06/05/2023
Benchmarking Large Language Models on CMExam – A Comprehensive Chinese Medical Exam Dataset
Recent advancements in large language models (LLMs) have transformed the...
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06/05/2023
Cross-Modal Vertical Federated Learning for MRI Reconstruction
Federated learning enables multiple hospitals to cooperatively learn a s...
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06/05/2023
Dynamic Interactive Relation Capturing via Scene Graph Learning for Robotic Surgical Report Generation
For robot-assisted surgery, an accurate surgical report reflects clinica...
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04/19/2023
Adaptive beamforming for optical wireless communication via fiber modal control
High-speed optical wireless communication can address the exponential gr...
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04/10/2023
Identity-Guided Collaborative Learning for Cloth-Changing Person Reidentification
Cloth-changing person reidentification (ReID) is a newly emerging resear...
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04/09/2023
Automated Prompting for Non-overlapping Cross-domain Sequential Recommendation
Cross-domain Recommendation (CR) has been extensively studied in recent ...
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03/28/2023
Multi-Behavior Recommendation with Cascading Graph Convolution Networks
Multi-behavior recommendation, which exploits auxiliary behaviors (e.g.,...
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03/23/2023
Neural Preset for Color Style Transfer
In this paper, we present a Neural Preset technique to address the limit...
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03/23/2023
Masked Image Training for Generalizable Deep Image Denoising
When capturing and storing images, devices inevitably introduce noise. R...
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03/22/2023
Distribution Aligned Diffusion and Prototype-guided network for Unsupervised Domain Adaptive Segmentation
The Diffusion Probabilistic Model (DPM) has emerged as a highly effectiv...
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03/19/2023
DiffMIC: Dual-Guidance Diffusion Network for Medical Image Classification
Diffusion Probabilistic Models have recently shown remarkable performanc...
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03/18/2023
HybridMIM: A Hybrid Masked Image Modeling Framework for 3D Medical Image Segmentation
Masked image modeling (MIM) with transformer backbones has recently been...
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03/18/2023
Diff-UNet: A Diffusion Embedded Network for Volumetric Segmentation
In recent years, Denoising Diffusion Models have demonstrated remarkable...
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03/17/2023
Video Dehazing via a Multi-Range Temporal Alignment Network with Physical Prior
Video dehazing aims to recover haze-free frames with high visibility and...
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03/16/2023
Learning Physical-Spatio-Temporal Features for Video Shadow Removal
Shadow removal in a single image has received increasing attention in re...
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03/15/2023
BiFormer: Vision Transformer with Bi-Level Routing Attention
As the core building block of vision transformers, attention is a powerf...
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03/14/2023
GeoSpark: Sparking up Point Cloud Segmentation with Geometry Clue
Current point cloud segmentation architectures suffer from limited long-...
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02/23/2023
A Comprehensive Survey on Source-free Domain Adaptation
Over the past decade, domain adaptation has become a widely studied bran...
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02/18/2023
One-Pot Multi-Frame Denoising
The performance of learning-based denoising largely depends on clean sup...
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01/12/2023
Learning to Control and Coordinate Hybrid Traffic Through Robot Vehicles at Complex and Unsignalized Intersections
Intersections are essential road infrastructures for traffic in modern m...
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11/29/2022
ReAssigner: A Plug-and-Play Virtual Machine Scheduling Intensifier for Heterogeneous Requests
With the rapid development of cloud computing, virtual machine schedulin...
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11/27/2022
Who is Gambling? Finding Cryptocurrency Gamblers Using Multi-modal Retrieval Methods
With the popularity of cryptocurrencies and the remarkable development o...
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11/13/2022
SCOTCH and SODA: A Transformer Video Shadow Detection Framework
Shadows in videos are difficult to detect because of the large shadow de...
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11/10/2022
Dual Multi-scale Mean Teacher Network for Semi-supervised Infection Segmentation in Chest CT Volume for COVID-19
Automated detecting lung infections from computed tomography (CT) data p...
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09/06/2022
CAMO-MOT: Combined Appearance-Motion Optimization for 3D Multi-Object Tracking with Camera-LiDAR Fusion
3D Multi-object tracking (MOT) ensures consistency during continuous dyn...
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09/04/2022
Joint Prediction of Meningioma Grade and Brain Invasion via Task-Aware Contrastive Learning
Preoperative and noninvasive prediction of the meningioma grade is impor...
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08/31/2022
NestedFormer: Nested Modality-Aware Transformer for Brain Tumor Segmentation
Multi-modal MR imaging is routinely used in clinical practice to diagnos...
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07/16/2022
Bagging Regional Classification Activation Maps for Weakly Supervised Object Localization
Classification activation map (CAM), utilizing the classification struct...
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07/04/2022
Harmonizer: Learning to Perform White-Box Image and Video Harmonization
Recent works on image harmonization solve the problem as a pixel-wise im...
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07/01/2022
A New Dataset and A Baseline Model for Breast Lesion Detection in Ultrasound Videos
Breast lesion detection in ultrasound is critical for breast cancer diag...
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06/16/2022
Time Interval-enhanced Graph Neural Network for Shared-account Cross-domain Sequential Recommendation
Shared-account Cross-domain Sequential Recommendation (SCSR) task aims t...
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05/03/2022
Copy Motion From One to Another: Fake Motion Video Generation
One compelling application of artificial intelligence is to generate a v...
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03/26/2022
RSCFed: Random Sampling Consensus Federated Semi-supervised Learning
Federated semi-supervised learning (FSSL) aims to derive a global model ...
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03/21/2022
Multi-modal learning for predicting the genotype of glioma
The isocitrate dehydrogenase (IDH) gene mutation is an essential biomark...
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03/04/2022
BoostMIS: Boosting Medical Image Semi-supervised Learning with Adaptive Pseudo Labeling and Informative Active Annotation
In this paper, we propose a novel semi-supervised learning (SSL) framewo...
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03/03/2022
Weakly Supervised Object Localization as Domain Adaption
Weakly supervised object localization (WSOL) focuses on localizing objec...
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01/20/2022
spotFuzzer: Static Instrument and Fuzzing Windows COTs
The security research on Windows has received little attention in the ac...
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01/07/2022