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02/18/2023
Form 10-K Itemization
Form 10-K report is a financial report disclosing the annual financial s...
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02/18/2023
Closed-Loop Transcription via Convolutional Sparse Coding
Autoencoding has achieved great empirical success as a framework for lea...
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10/30/2022
Unsupervised Learning of Structured Representations via Closed-Loop Transcription
This paper proposes an unsupervised method for learning a unified repres...
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10/24/2022
Revisiting Sparse Convolutional Model for Visual Recognition
Despite strong empirical performance for image classification, deep neur...
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10/04/2022
Putting Them under Microscope: A Fine-Grained Approach for Detecting Redundant Test Cases in Natural Language
Natural language (NL) documentation is the bridge between software manag...
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08/03/2022
SuperLine3D: Self-supervised Line Segmentation and Description for LiDAR Point Cloud
Poles and building edges are frequently observable objects on urban road...
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03/08/2022
DuMLP-Pin: A Dual-MLP-dot-product Permutation-invariant Network for Set Feature Extraction
Existing permutation-invariant methods can be divided into two categorie...
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03/02/2022
Translation Invariant Global Estimation of Heading Angle Using Sinogram of LiDAR Point Cloud
Global point cloud registration is an essential module for localization,...
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02/11/2022
Incremental Learning of Structured Memory via Closed-Loop Transcription
This work proposes a minimal computational model for learning a structur...
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11/12/2021
Closed-Loop Data Transcription to an LDR via Minimaxing Rate Reduction
This work proposes a new computational framework for learning an explici...
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10/21/2021
CATRO: Channel Pruning via Class-Aware Trace Ratio Optimization
Deep convolutional neural networks are shown to be overkill with high pa...
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08/11/2021
Road Mapping and Localization using Sparse Semantic Visual Features
We present a novel method for visual mapping and localization for autono...
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07/14/2021
Bayesian Lifetime Regression with Multi-type Group-shared Latent Heterogeneity
Products manufactured from the same batch or utilized in the same region...
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03/26/2021
IMU Data Processing For Inertial Aided Navigation: A Recurrent Neural Network Based Approach
In this work, we propose a novel method for performing inertial aided na...
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01/11/2021
A Degradation Performance Model With Mixed-type Covariates and Latent Heterogeneity
Successful modeling of degradation performance data is essential for acc...
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01/08/2021
A Latent Survival Analysis Enabled Simulation Platform For Nursing Home Staffing Strategy Evaluation
Nursing homes are critical facilities for caring frail older adults with...
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08/06/2020
Studying Politeness across Cultures Using English Twitter and Mandarin Weibo
Modeling politeness across cultures helps to improve intercultural commu...
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07/30/2020
From A Glance to "Gotcha": Interactive Facial Image Retrieval with Progressive Relevance Feedback
Facial image retrieval plays a significant role in forensic investigatio...
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07/20/2020
Interpretable Foreground Object Search As Knowledge Distillation
This paper proposes a knowledge distillation method for foreground objec...
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06/09/2020
SEKD: Self-Evolving Keypoint Detection and Description
Researchers have attempted utilizing deep neural network (DNN) to learn ...
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06/08/2020
Kinematics Based Visual Localization for Skid-Steering Robots: Algorithm and Theory
In recent years, the volume of the commercial mobile robot market has be...
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06/01/2020
Semi-supervised deep learning for high-dimensional uncertainty quantification
Conventional uncertainty quantification methods usually lacks the capabi...
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05/27/2020
Accelerating Neural Network Inference by Overflow Aware Quantization
The inherent heavy computation of deep neural networks prevents their wi...
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03/01/2020
MonoPair: Monocular 3D Object Detection Using Pairwise Spatial Relationships
Monocular 3D object detection is an essential component in autonomous dr...
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01/16/2020
LE-HGR: A Lightweight and Efficient RGB-based Online Gesture Recognition Network for Embedded AR Devices
Online hand gesture recognition (HGR) techniques are essential in augmen...
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01/16/2020
Sequential Selection for Accelerated Life Testing via Approximate Bayesian Inference
Accelerated life testing (ALT) is typically used to assess the reliabili...
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11/13/2019
Visual-Inertial Localization for Skid-Steering Robots with Kinematic Constraints
While visual localization or SLAM has witnessed great progress in past d...
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09/11/2019
A Lightweight and Accurate Localization Algorithm Using Multiple Inertial Measurement Units
In this paper, a lightweight and accurate localization algorithm is prop...
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09/08/2019
Localization for Ground Robots: On Manifold Representation, Integration, Re-Parameterization, and Optimization
In this paper, we focus on localizing ground robots, by probabilisticall...
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08/19/2019
Seq-SG2SL: Inferring Semantic Layout from Scene Graph Through Sequence to Sequence Learning
Generating semantic layout from scene graph is a crucial intermediate ta...
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08/03/2019
Learning Local Feature Descriptor with Motion Attribute for Vision-based Localization
In recent years, camera-based localization has been widely used for robo...
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04/04/2019
Studying Cultural Differences in Emoji Usage across the East and the West
Global acceptance of Emojis suggests a cross-cultural, normative use of ...
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02/19/2019
2D LiDAR Map Prediction via Estimating Motion Flow with GRU
It is a significant problem to predict the 2D LiDAR map at next moment f...
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01/22/2019
Observability-aware Self-Calibration of Visual and Inertial Sensors for Ego-Motion Estimation
External effects such as shocks and temperature variations affect the ca...
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05/07/2018