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08/29/2023
Adjusting inverse regression for predictors with clustered distribution
A major family of sufficient dimension reduction (SDR) methods, called i...
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03/31/2023
Visual Anomaly Detection via Dual-Attention Transformer and Discriminative Flow
In this paper, we introduce the novel state-of-the-art Dual-attention Tr...
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03/28/2023
One Adapter for All Programming Languages? Adapter Tuning for Code Search and Summarization
As pre-trained models automate many code intelligence tasks, a widely us...
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03/10/2023
Learning Global-Local Correspondence with Semantic Bottleneck for Logical Anomaly Detection
This paper presents a novel framework, named Global-Local Correspondence...
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01/06/2023
CyberLoc: Towards Accurate Long-term Visual Localization
This technical report introduces CyberLoc, an image-based visual localiz...
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11/18/2022
Reference-Based Autoencoder for Surface Defect Detection
Due to the extreme imbalance in the number of normal data and abnormal d...
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09/01/2022
Time-Optimal Handover Trajectory Planning for Aerial Manipulators based on Discrete Mechanics and Complementarity Constraints
Planning a time-optimal trajectory for aerial robots is critical in many...
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08/08/2022
Clear Memory-Augmented Auto-Encoder for Surface Defect Detection
In surface defect detection, due to the extreme imbalance in the number ...
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03/04/2022
Feature Transformation for Cross-domain Few-shot Remote Sensing Scene Classification
Effectively classifying remote sensing scenes is still a challenge due t...
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10/12/2021
Robust Neural Regression via Uncertainty Learning
Deep neural networks tend to underestimate uncertainty and produce overl...
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08/25/2021
Product-oriented Machine Translation with Cross-modal Cross-lingual Pre-training
Translating e-commercial product descriptions, a.k.a product-oriented ma...
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06/24/2020
Learning Semantically Enhanced Feature for Fine-Grained Image Classification
We target at providing a computational cheap yet effective approach for ...
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09/10/2019
Cross-X Learning for Fine-Grained Visual Categorization
Recognizing objects from subcategories with very subtle differences rema...
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08/06/2019
Aligning Linguistic Words and Visual Semantic Units for Image Captioning
Image captioning attempts to generate a sentence composed of several lin...
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04/29/2019
Learning Longer-term Dependencies via Grouped Distributor Unit
Learning long-term dependencies still remains difficult for recurrent ne...
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11/09/2018
An Empirical Evaluation On Vibrotactile Feedback For Wristband System
With the rapid development of mobile computing, wearable wrist-worn is b...
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05/01/2017
Inverse Moment Methods for Sufficient Forecasting using High-Dimensional Predictors
We consider forecasting a single time series using high-dimensional pred...
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07/28/2016
Preterm Birth Prediction: Deriving Stable and Interpretable Rules from High Dimensional Data
Preterm births occur at an alarming rate of 10-15 risk of infant mortali...
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12/20/2013