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09/21/2023
Choice-75: A Dataset on Decision Branching in Script Learning
Script learning studies how daily events unfold. Previous works tend to ...
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09/17/2023
Private Matrix Factorization with Public Item Features
We consider the problem of training private recommendation models with a...
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09/13/2023
SAMUS: Adapting Segment Anything Model for Clinically-Friendly and Generalizable Ultrasound Image Segmentation
Segment anything model (SAM), an eminent universal image segmentation mo...
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08/18/2023
Training-Free Energy Beamforming Assisted by Wireless Sensing
This paper studies the transmit energy beamforming in a multi-antenna wi...
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08/13/2023
Semi-Supervised Dual-Stream Self-Attentive Adversarial Graph Contrastive Learning for Cross-Subject EEG-based Emotion Recognition
Electroencephalography (EEG) is an objective tool for emotion recognitio...
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08/08/2023
PARTNER: Level up the Polar Representation for LiDAR 3D Object Detection
Recently, polar-based representation has shown promising properties in p...
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08/01/2023
Improved Prognostic Prediction of Pancreatic Cancer Using Multi-Phase CT by Integrating Neural Distance and Texture-Aware Transformer
Pancreatic ductal adenocarcinoma (PDAC) is a highly lethal cancer in whi...
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07/28/2023
Scale-aware Test-time Click Adaptation for Pulmonary Nodule and Mass Segmentation
Pulmonary nodules and masses are crucial imaging features in lung cancer...
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07/24/2023
Deep neural network improves the estimation of polygenic risk scores for breast cancer
Polygenic risk scores (PRS) estimate the genetic risk of an individual f...
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07/10/2023
Cluster-Induced Mask Transformers for Effective Opportunistic Gastric Cancer Screening on Non-contrast CT Scans
Gastric cancer is the third leading cause of cancer-related mortality wo...
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07/08/2023
Towards Efficient In-memory Computing Hardware for Quantized Neural Networks: State-of-the-art, Open Challenges and Perspectives
The amount of data processed in the cloud, the development of Internet-o...
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07/04/2023
SUIT: Learning Significance-guided Information for 3D Temporal Detection
3D object detection from LiDAR point cloud is of critical importance for...
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07/03/2023
Joint Coordinate Regression and Association For Multi-Person Pose Estimation, A Pure Neural Network Approach
We introduce a novel one-stage end-to-end multi-person 2D pose estimatio...
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06/15/2023
MCPI: Integrating Multimodal Data for Enhanced Prediction of Compound Protein Interactions
The identification of compound-protein interactions (CPI) plays a critic...
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06/12/2023
CD-CTFM: A Lightweight CNN-Transformer Network for Remote Sensing Cloud Detection Fusing Multiscale Features
Clouds in remote sensing images inevitably affect information extraction...
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06/07/2023
Video Compression with Arbitrary Rescaling Network
Most video platforms provide video streaming services with different qua...
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06/07/2023
Answering Compositional Queries with Set-Theoretic Embeddings
The need to compactly and robustly represent item-attribute relations ar...
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05/30/2023
Probabilistic Computation with Emerging Covariance: Towards Efficient Uncertainty Quantification
Building robust, interpretable, and secure artificial intelligence syste...
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05/29/2023
propnet: Propagating 2D Annotation to 3D Segmentation for Gastric Tumors on CT Scans
**Background:** Accurate 3D CT scan segmentation of gastric tumors is pi...
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05/24/2023
OpenPI2.0: An Improved Dataset for Entity Tracking in Texts
Representing texts as information about entities has long been deemed ef...
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05/21/2023
Generative Model Watermarking Suppressing High-Frequency Artifacts
Protecting deep neural networks (DNNs) against intellectual property (IP...
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04/28/2023
NeRF-LiDAR: Generating Realistic LiDAR Point Clouds with Neural Radiance Fields
Labeling LiDAR point clouds for training autonomous driving is extremely...
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04/26/2023
Exploring the Curious Case of Code Prompts
Recent work has shown that prompting language models with code-like repr...
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04/16/2023
Federated Learning of Shareable Bases for Personalization-Friendly Image Classification
Personalized federated learning (PFL) aims to harness the collective wis...
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04/10/2023
Preconditioned geometric iterative methods for cubic B-spline interpolation curves
The geometric iterative method (GIM) is widely used in data interpolatio...
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04/02/2023
Learning by Grouping: A Multilevel Optimization Framework for Improving Fairness in Classification without Losing Accuracy
The integration of machine learning models in various real-world applica...
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04/01/2023
Devil is in the Queries: Advancing Mask Transformers for Real-world Medical Image Segmentation and Out-of-Distribution Localization
Real-world medical image segmentation has tremendous long-tailed complex...
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04/01/2023
Statistical Analysis of Chen Distribution Under Improved Adaptive Type-II Progressive Censoring
This paper takes into account the estimation for the two unknown paramet...
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03/27/2023
EEGMatch: Learning with Incomplete Labels for Semi-Supervised EEG-based Cross-Subject Emotion Recognition
Electroencephalography (EEG) is an objective tool for emotion recognitio...
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03/20/2023
Generative Semantic Segmentation
We present Generative Semantic Segmentation (GSS), a generative learning...
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03/17/2023
Single-view Neural Radiance Fields with Depth Teacher
Neural Radiance Fields (NeRF) have been proposed for photorealistic nove...
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03/13/2023
RTMPose: Real-Time Multi-Person Pose Estimation based on MMPose
Recent studies on 2D pose estimation have achieved excellent performance...
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03/10/2023
QVRF: A Quantization-error-aware Variable Rate Framework for Learned Image Compression
Learned image compression has exhibited promising compression performanc...
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03/04/2023
FAME-ViL: Multi-Tasking Vision-Language Model for Heterogeneous Fashion Tasks
In the fashion domain, there exists a variety of vision-and-language (V+...
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03/04/2023
Self-Asymmetric Invertible Network for Compression-Aware Image Rescaling
High-resolution (HR) images are usually downscaled to low-resolution (LR...
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03/01/2023
S-NeRF: Neural Radiance Fields for Street Views
Neural Radiance Fields (NeRFs) aim to synthesize novel views of objects ...
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02/28/2023
Nonlinear Intensity, Scale and Rotation Invariant Matching for Multimodal Images
We present an effective method for the matching of multimodal images. Ac...
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02/25/2023
Human-in-the-Loop Schema Induction
Schema induction builds a graph representation explaining how events unf...
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02/13/2023
Preconditioned Score-based Generative Models
Score-based generative models (SGMs) have recently emerged as a promisin...
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02/10/2023
Is It Enough to Recommend Tasks to Newcomers? Understanding Mentoring on Good First Issues
Newcomers are critical for the success and continuity of open source sof...
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02/08/2023
Syntax and Domain Aware Model for Unsupervised Program Translation
There is growing interest in software migration as the development of so...
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02/02/2023
SimMTM: A Simple Pre-Training Framework for Masked Time-Series Modeling
Time series analysis is widely used in extensive areas. Recently, to red...
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02/02/2023
Effective Random Test Generation for Deep Learning Compilers
Deep learning compilers help address difficulties of deploying deep lear...
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01/30/2023
SeaFormer: Squeeze-enhanced Axial Transformer for Mobile Semantic Segmentation
Since the introduction of Vision Transformers, the landscape of many com...
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01/26/2023
Causal Reasoning of Entities and Events in Procedural Texts
Entities and events have long been regarded as the crux of machine reaso...
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01/12/2023
LB-SimTSC: An Efficient Similarity-Aware Graph Neural Network for Semi-Supervised Time Series Classification
Time series classification is an important data mining task that has rec...
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01/04/2023
PMP: Privacy-Aware Matrix Profile against Sensitive Pattern Inference for Time Series
Recent rapid development of sensor technology has allowed massive fine-g...
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01/03/2023
Language Models are Drummers: Drum Composition with Natural Language Pre-Training
Automatic music generation with artificial intelligence typically requir...
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12/14/2022
Unsupervised Time-Aware Sampling Network with Deep Reinforcement Learning for EEG-Based Emotion Recognition
Recognizing human emotions from complex, multivariate, and non-stationar...
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11/30/2022