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09/21/2023
Causal inference with outcome dependent sampling and mismeasured outcome
Outcome-dependent sampling designs are extensively utilized in various s...
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09/21/2023
Person Re-Identification for Robot Person Following with Online Continual Learning
Robot person following (RPF) is a crucial capability in human-robot inte...
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09/16/2023
Efficient Object Rearrangement via Multi-view Fusion
The prospect of assistive robots aiding in object organization has alway...
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09/04/2023
From Kubernetes to Knactor: A State-Centric Rethink of Service Integration
Microservices are increasingly used in modern applications, leading to a...
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08/23/2023
Recovering a Molecule's 3D Dynamics from Liquid-phase Electron Microscopy Movies
The dynamics of biomolecules are crucial for our understanding of their ...
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07/25/2023
GraspGPT: Leveraging Semantic Knowledge from a Large Language Model for Task-Oriented Grasping
Task-oriented grasping (TOG) refers to the problem of predicting grasps ...
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05/03/2023
DPSeq: A Novel and Efficient Digital Pathology Classifier for Predicting Cancer Biomarkers using Sequencer Architecture
In digital pathology tasks, transformers have achieved state-of-the-art ...
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04/01/2023
NPR: Nocturnal Place Recognition in Street
Visual Place Recognition (VPR) is the task of retrieving database images...
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03/21/2023
Wearing Masks Implies Refuting Trump?: Towards Target-specific User Stance Prediction across Events in COVID-19 and US Election 2020
People who share similar opinions towards controversial topics could for...
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02/28/2023
Task-Oriented Grasp Prediction with Visual-Language Inputs
To perform household tasks, assistive robots receive commands in the for...
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02/23/2023
A Convolutional-Transformer Network for Crack Segmentation with Boundary Awareness
Cracks play a crucial role in assessing the safety and durability of man...
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02/21/2023
Time to Embrace Natural Language Processing (NLP)-based Digital Pathology: Benchmarking NLP- and Convolutional Neural Network-based Deep Learning Pipelines
NLP-based computer vision models, particularly vision transformers, have...
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02/04/2023
Robot Person Following Under Partial Occlusion
Robot person following (RPF) is a capability that supports many useful h...
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01/21/2023
ProKD: An Unsupervised Prototypical Knowledge Distillation Network for Zero-Resource Cross-Lingual Named Entity Recognition
For named entity recognition (NER) in zero-resource languages, utilizing...
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11/21/2022
Label Mask AutoEncoder(L-MAE): A Pure Transformer Method to Augment Semantic Segmentation Datasets
Semantic segmentation models based on the conventional neural network ca...
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10/18/2022
Adjusting for non-confounding covariates in case-control association studies
Considerable debate has been generated in recent literature on whether n...
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10/15/2022
A Novel Few-Shot Relation Extraction Pipeline Based on Adaptive Prototype Fusion
Few-shot relation extraction (FSRE) aims at recognizing unseen relations...
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10/14/2022
Novel 3D Scene Understanding Applications From Recurrence in a Single Image
We demonstrate the utility of recurring pattern discovery from a single ...
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09/26/2022
NDD: A 3D Point Cloud Descriptor Based on Normal Distribution for Loop Closure Detection
Loop closure detection is a key technology for long-term robot navigatio...
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09/13/2022
Optimizing SLAM Evaluation Footprint Through Dynamic Range Coverage Analysis of Datasets
Simultaneous Localization and Mapping (SLAM) is considered an ever-evolv...
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08/22/2022
Predicting microsatellite instability and key biomarkers in colorectal cancer from H E-stained images: Achieving SOTA with Less Data using Swin Transformer
Artificial intelligence (AI) models have been developed for predicting c...
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08/10/2022
Efficient inference of parental origin effects using case-control mother-child genotype data
Parental origin effects play an important role in mammal development and...
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08/07/2022
Accelerating Numerical Solvers for Large-Scale Simulation of Dynamical System via NeurVec
Ensemble-based large-scale simulation of dynamical systems is essential ...
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07/20/2022
Perspective Phase Angle Model for Polarimetric 3D Reconstruction
Current polarimetric 3D reconstruction methods, including those in the w...
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07/09/2022
Cell-average based neural network method for high dimensional parabolic differential equations
In this paper, we introduce cell-average based neural network (CANN) met...
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07/07/2022
Highlight Specular Reflection Separation based on Tensor Low-rank and Sparse Decomposition Using Polarimetric Cues
This paper is concerned with specular reflection removal based on tensor...
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06/25/2022
Render unto Numerics : Orthogonal Polynomial Neural Operator for PDEs with Non-periodic Boundary Conditions
By learning the map between function spaces using carefully designed dee...
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06/25/2022
Diagnostic Communication and Visual System based on Vehicle UDS Protocol
Unified Diagnostic Services (UDS) is a diagnostic communication protocol...
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06/13/2022
Provable Benefit of Multitask Representation Learning in Reinforcement Learning
As representation learning becomes a powerful technique to reduce sample...
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06/02/2022
PNODE: A memory-efficient neural ODE framework based on high-level adjoint differentiation
Neural ordinary differential equations (neural ODEs) have emerged as a n...
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05/31/2022
A robust and lightweight deep attention multiple instance learning algorithm for predicting genetic alterations
Deep-learning models based on whole-slide digital pathology images (WSIs...
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05/31/2022
FinBERT-MRC: financial named entity recognition using BERT under the machine reading comprehension paradigm
Financial named entity recognition (FinNER) from literature is a challen...
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05/28/2022
Low-rank Latent Matrix Factor-Analysis Modeling for Generalized Linear Regression with High-dimensional Imaging Biomarkers
Medical imaging has been recognized as a phenotype associated with vario...
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04/25/2022
FedDUAP: Federated Learning with Dynamic Update and Adaptive Pruning Using Shared Data on the Server
Despite achieving remarkable performance, Federated Learning (FL) suffer...
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04/24/2022
Colorectal cancer survival prediction using deep distribution based multiple-instance learning
Several deep learning algorithms have been developed to predict survival...
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04/22/2022
Following Closely: A Robust Monocular Person Following System for Mobile Robot
Monocular person following (MPF) is a capability that supports many usef...
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04/18/2022
Mapping While Following: 2D LiDAR SLAM in Indoor Dynamic Environments with a Person Tracker
2D LiDAR SLAM (Simultaneous Localization and Mapping) is widely used in ...
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04/15/2022
Condition-Invariant and Compact Visual Place Description by Convolutional Autoencoder
Visual place recognition (VPR) in condition-varying environments is stil...
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04/07/2022
Sparse Optical Flow-Based Line Feature Tracking
In this paper we propose a novel sparse optical flow (SOF)-based line fe...
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03/31/2022
Optimize Deep Learning Models for Prediction of Gene Mutations Using Unsupervised Clustering
Deep learning has become the mainstream methodological choice for analyz...
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03/27/2022
Deep Polarimetric HDR Reconstruction
This paper proposes a novel learning based high-dynamic-range (HDR) reco...
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03/21/2022
DSRRTracker: Dynamic Search Region Refinement for Attention-based Siamese Multi-Object Tracking
Many multi-object tracking (MOT) methods follow the framework of "tracki...
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03/16/2022
DePS: An improved deep learning model for de novo peptide sequencing
De novo peptide sequencing from mass spectrometry data is an important m...
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02/24/2022
Multirate Partitioned Runge-Kutta Methods for Coupled Navier-Stokes Equations
Earth system models are complex integrated models of atmosphere, ocean, ...
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02/23/2022
Are We Ready for Robust and Resilient SLAM? A Framework For Quantitative Characterization of SLAM Datasets
Reliability of SLAM systems is considered one of the critical requiremen...
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01/26/2022
MonoDistill: Learning Spatial Features for Monocular 3D Object Detection
3D object detection is a fundamental and challenging task for 3D scene u...
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01/04/2022
The PETSc Community Is the Infrastructure
The communities who develop and support open source scientific software ...
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01/03/2022
Improving Feature Extraction from Histopathological Images Through A Fine-tuning ImageNet Model
Due to lack of annotated pathological images, transfer learning has been...
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11/07/2021
Online Mutual Adaptation of Deep Depth Prediction and Visual SLAM
The ability of accurate depth prediction by a CNN is a major challenge f...
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11/05/2021