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08/12/2023
BEV-DG: Cross-Modal Learning under Bird's-Eye View for Domain Generalization of 3D Semantic Segmentation
Cross-modal Unsupervised Domain Adaptation (UDA) aims to exploit the com...
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03/02/2023
Image as Set of Points
What is an image and how to extract latent features? Convolutional Netwo...
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01/28/2023
Making Reconstruction-based Method Great Again for Video Anomaly Detection
Anomaly detection in videos is a significant yet challenging problem. Pr...
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12/23/2022
A Close Look at Spatial Modeling: From Attention to Convolution
Vision Transformers have shown great promise recently for many vision ta...
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10/13/2022
Parameter-Efficient Masking Networks
A deeper network structure generally handles more complicated non-linear...
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08/07/2022
Label-Efficient Domain Generalization via Collaborative Exploration and Generalization
Considerable progress has been made in domain generalization (DG) which ...
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06/12/2022
A Fast Alternating Minimization Algorithm for Coded Aperture Snapshot Spectral Imaging Based on Sparsity and Deep Image Priors
Coded aperture snapshot spectral imaging (CASSI) is a technique used to ...
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06/09/2022
Towards Layer-wise Image Vectorization
Image rasterization is a mature technique in computer graphics, while im...
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03/25/2022
Predicting Peak Day and Peak Hour of Electricity Demand with Ensemble Machine Learning
Battery energy storage systems can be used for peak demand reduction in ...
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02/27/2022
Attention-based Cross-Layer Domain Alignment for Unsupervised Domain Adaptation
Unsupervised domain adaptation (UDA) aims to learn transferable knowledg...
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02/15/2022
Rethinking Network Design and Local Geometry in Point Cloud: A Simple Residual MLP Framework
Point cloud analysis is challenging due to irregularity and unordered da...
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11/16/2021
Online Self-Evolving Anomaly Detection in Cloud Computing Environments
Modern cloud computing systems contain hundreds to thousands of computin...
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10/13/2021
Do We Need to Directly Access the Source Datasets for Domain Generalization?
Domain generalization (DG) aims to learn a generalizable model from mult...
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10/04/2021
Learning Domain-Invariant Relationship with Instrumental Variable for Domain Generalization
Domain generalization (DG) aims to learn from multiple source domains a ...
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10/02/2021
Domain-Specific Bias Filtering for Single Labeled Domain Generalization
Domain generalization (DG) utilizes multiple labeled source datasets to ...
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05/17/2021
Towards a Better Tradeoff between Effectiveness and Efficiency in Pre-Ranking: A Learnable Feature Selection based Approach
In real-world search, recommendation, and advertising systems, the multi...
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07/11/2020
Polestar: An Intelligent, Efficient and National-Wide Public Transportation Routing Engine
Public transportation plays a critical role in people's daily life. It h...
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07/09/2020