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08/25/2023
Black-box Unsupervised Domain Adaptation with Bi-directional Atkinson-Shiffrin Memory
Black-box unsupervised domain adaptation (UDA) learns with source predic...
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06/29/2023
Prompt Ensemble Self-training for Open-Vocabulary Domain Adaptation
Traditional domain adaptation assumes the same vocabulary across source ...
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04/20/2023
Exploring Paracrawl for Document-level Neural Machine Translation
Document-level neural machine translation (NMT) has outperformed sentenc...
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04/03/2023
Vision-Language Models for Vision Tasks: A Survey
Most visual recognition studies rely heavily on crowd-labelled data in d...
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03/27/2023
Semantic-visual Guided Transformer for Few-shot Class-incremental Learning
Few-shot class-incremental learning (FSCIL) has recently attracted exten...
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03/01/2023
Indescribable Multi-modal Spatial Evaluator
Multi-modal image registration spatially aligns two images with differen...
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01/03/2023
PMT-IQA: Progressive Multi-task Learning for Blind Image Quality Assessment
Blind image quality assessment (BIQA) remains challenging due to the div...
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12/01/2022
Domain Adaptive Scene Text Detection via Subcategorization
Most existing scene text detectors require large-scale training data whi...
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09/01/2022
CPS Attack Detection under Limited Local Information in Cyber Security: A Multi-node Multi-class Classification Ensemble Approach
Cybersecurity breaches are the common anomalies for distributed cyber-ph...
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08/25/2022
Functional varying index coefficient model for dynamic gene-environment interactions
Rooted in genetics, human complex diseases are largely influenced by env...
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08/24/2022
Towards Efficient Use of Multi-Scale Features in Transformer-Based Object Detectors
Multi-scale features have been proven highly effective for object detect...
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08/09/2022
Automating DBSCAN via Deep Reinforcement Learning
DBSCAN is widely used in many scientific and engineering fields because ...
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06/30/2022
Hierarchical Mask Calibration for Unified Domain Adaptive Panoptic Segmentation
Domain adaptive panoptic segmentation aims to mitigate data annotation c...
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05/31/2022
An optimal transport approach for selecting a representative subsample with application in efficient kernel density estimation
Subsampling methods aim to select a subsample as a surrogate for the obs...
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03/28/2022
LiDARCap: Long-range Marker-less 3D Human Motion Capture with LiDAR Point Clouds
Existing motion capture datasets are largely short-range and cannot yet ...
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07/13/2021
Oversampling Divide-and-conquer for Response-skewed Kernel Ridge Regression
The divide-and-conquer method has been widely used for estimating large-...
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06/11/2021
Spectral Unsupervised Domain Adaptation for Visual Recognition
Unsupervised domain adaptation (UDA) aims to learn a well-performed mode...
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06/09/2021
Large-scale optimal transport map estimation using projection pursuit
This paper studies the estimation of large-scale optimal transport maps ...
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05/20/2021
Ensemble machine learning approach for screening of coronary heart disease based on echocardiography and risk factors
Background: Extensive clinical evidence suggests that a preventive scree...
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04/16/2021
Reinforced Neighborhood Selection Guided Multi-Relational Graph Neural Networks
Graph Neural Networks (GNNs) have been widely used for the representatio...
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04/02/2021
A Detector-oblivious Multi-arm Network for Keypoint Matching
This paper presents a matching network to establish point correspondence...
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03/31/2021
DA-DETR: Domain Adaptive Detection Transformer by Hybrid Attention
The prevalent approach in domain adaptive object detection adopts a two-...
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03/09/2021
Probabilistic Modeling of Semantic Ambiguity for Scene Graph Generation
To generate "accurate" scene graphs, almost all existing methods predict...
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02/24/2021
Self-Domain Adaptation for Face Anti-Spoofing
Although current face anti-spoofing methods achieve promising results un...
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11/09/2020
Dual ResGCN for Balanced Scene GraphGeneration
Visual scene graph generation is a challenging task. Previous works have...
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10/19/2020
Sufficient dimension reduction for classification using principal optimal transport direction
Sufficient dimension reduction is used pervasively as a supervised dimen...
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08/07/2020
A Review on Modern Computational Optimal Transport Methods with Applications in Biomedical Research
Optimal transport has been one of the most exciting subjects in mathemat...
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06/25/2020
Learning Source Phrase Representations for Neural Machine Translation
The Transformer translation model (Vaswani et al., 2017) based on a mult...
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03/24/2020
More efficient approximation of smoothing splines via space-filling basis selection
We consider the problem of approximating smoothing spline estimators in ...
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11/15/2019
DNNRE: A Dynamic Neural Network for Distant Supervised Relation Extraction
Distant Supervised Relation Extraction (DSRE) is usually formulated as a...
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11/08/2019
Why Deep Transformers are Difficult to Converge? From Computation Order to Lipschitz Restricted Parameter Initialization
The Transformer translation model employs residual connection and layer ...
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04/07/2018
Guiding Neural Machine Translation with Retrieved Translation Pieces
One of the difficulties of neural machine translation (NMT) is the recal...
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11/01/2017
