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09/12/2023
A Natural Intuitionistic Modal Logic: Axiomatization and Bi-nested Calculus
We introduce FIK, a natural intuitionistic modal logic specified by Krip...
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08/23/2023
Exploring the Optimization Objective of One-Class Classification for Anomaly Detection
One-class classification (OCC) is a longstanding method for anomaly dete...
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08/01/2023
Informative Path Planning of Autonomous Vehicle for Parking Occupancy Estimation
Parking occupancy estimation holds significant potential in facilitating...
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07/13/2023
A Causal Framework to Unify Common Domain Generalization Approaches
Domain generalization (DG) is about learning models that generalize well...
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06/10/2023
Probabilistic Visibility-Aware Trajectory Planning for Target Tracking in Cluttered Environments
Target tracking with a mobile robot has numerous significant application...
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06/03/2023
Mitigating Backdoor Attack Via Prerequisite Transformation
In recent years, with the successful application of DNN in fields such a...
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06/01/2023
Explicit Feature Interaction-aware Uplift Network for Online Marketing
As a key component in online marketing, uplift modeling aims to accurate...
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05/25/2023
Towards Total Online Unsupervised Anomaly Detection and Localization in Industrial Vision
Although existing image anomaly detection methods yield impressive resul...
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05/13/2023
Contrastive Domain Generalization via Logit Attribution Matching
Domain Generalization (DG) is an important open problem in machine learn...
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12/21/2022
Towards Efficient Visual Simplification of Computational Graphs in Deep Neural Networks
A computational graph in a deep neural network (DNN) denotes a specific ...
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12/11/2022
3D LiDAR Aided GNSS NLOS Mitigation for Reliable GNSS-RTK Positioning in Urban Canyons
GNSS and LiDAR odometry are complementary as they provide absolute and r...
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11/26/2022
PatchGT: Transformer over Non-trainable Clusters for Learning Graph Representations
Recently the Transformer structure has shown good performances in graph ...
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08/21/2022
Depth-Assisted ResiDualGAN for Cross-Domain Aerial Images Semantic Segmentation
Unsupervised domain adaptation (UDA) is an approach to minimizing domain...
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03/04/2022
Contextformer: A Transformer with Spatio-Channel Attention for Context Modeling in Learned Image Compression
Entropy modeling is a key component for high-performance image compressi...
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01/27/2022
ResiDualGAN: Resize-Residual DualGAN for Cross-Domain Remote Sensing Images Semantic Segmentation
The performance of a semantic segmentation model for remote sensing (RS)...
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01/22/2022
Predicting Physics in Mesh-reduced Space with Temporal Attention
Graph-based next-step prediction models have recently been very successf...
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10/20/2021
Unsupervised cross-user adaptation in taste sensationrecognition based on surface electromyography withconformal prediction and domain regularizedcomponent analysis
Human taste sensation can be qualitatively described with surface electr...
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07/31/2021
Voice Reconstruction from Silent Speech with a Sequence-to-Sequence Model
Silent Speech Decoding (SSD) based on Surface electromyography (sEMG) ha...
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07/16/2021
Physics-informed graph neural Galerkin networks: A unified framework for solving PDE-governed forward and inverse problems
Despite the great promise of the physics-informed neural networks (PINNs...
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08/16/2020
Adaptive Shape Servoing of Elastic Rods using Parameterized Regression Features and Auto-Tuning Motion Controls
In this paper, we present a new vision-based method to control the shape...
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03/23/2020
A Bi-fidelity Ensemble Kalman Method for PDE-Constrained Inverse Problems
Mathematical modeling and simulation of complex physical systems based o...
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11/10/2019
Non-intrusive model reduction of large-scale, nonlinear dynamical systems using deep learning
Projection-based model reduction has become a popular approach to reduce...
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03/25/2019
Dual Graph Attention Networks for Deep Latent Representation of Multifaceted Social Effects in Recommender Systems
Social recommendation leverages social information to solve data sparsit...
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01/10/2019