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08/01/2023
Vector Field Based Volume Peeling for Multi-Axis Machining
This paper presents an easy-to-control volume peeling method for multi-a...
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07/11/2023
Semiparametric Shape-restricted Estimators for Nonparametric Regression
Estimating the conditional mean function that relates predictive covaria...
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07/06/2023
DisAsymNet: Disentanglement of Asymmetrical Abnormality on Bilateral Mammograms using Self-adversarial Learning
Asymmetry is a crucial characteristic of bilateral mammograms (Bi-MG) wh...
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07/03/2023
Synthesis of Contrast-Enhanced Breast MRI Using Multi-b-Value DWI-based Hierarchical Fusion Network with Attention Mechanism
Magnetic resonance imaging (MRI) is the most sensitive technique for bre...
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07/03/2023
An Explainable Deep Framework: Towards Task-Specific Fusion for Multi-to-One MRI Synthesis
Multi-sequence MRI is valuable in clinical settings for reliable diagnos...
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05/26/2023
Real-Time Scheduling for Time-Sensitive Networking: A Systematic Review and Experimental Study
Time-Sensitive Networking (TSN) has been recognized as one of the key en...
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02/15/2023
Unsupervised Hashing via Similarity Distribution Calibration
Existing unsupervised hashing methods typically adopt a feature similari...
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02/10/2023
Support Generation for Robot-Assisted 3D Printing with Curved Layers
Robot-assisted 3D printing has drawn a lot of attention by its capabilit...
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02/03/2023
IMPORTANT-Net: Integrated MRI Multi-Parameter Reinforcement Fusion Generator with Attention Network for Synthesizing Absent Data
Magnetic resonance imaging (MRI) is highly sensitive for lesion detectio...
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02/01/2023
Synthesis-based Imaging-Differentiation Representation Learning for Multi-Sequence 3D/4D MRI
Multi-sequence MRIs can be necessary for reliable diagnosis in clinical ...
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01/06/2023
Multi-Agent Reinforcement Learning for Fast-Timescale Demand Response of Residential Loads
To integrate high amounts of renewable energy resources, electrical powe...
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11/30/2022
SGDraw: Scene Graph Drawing Interface Using Object-Oriented Representation
Scene understanding is an essential and challenging task in computer vis...
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11/12/2022
Large-scale Contrastive Language-Audio Pretraining with Feature Fusion and Keyword-to-Caption Augmentation
Contrastive learning has shown remarkable success in the field of multim...
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09/04/2022
Data-Driven Deep Supervision for Skin Lesion Classification
Automatic classification of pigmented, non-pigmented, and depigmented no...
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08/01/2022
PromotionLens: Inspecting Promotion Strategies of Online E-commerce via Visual Analytics
Promotions are commonly used by e-commerce merchants to boost sales. The...
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06/14/2022
Deep Reinforcement Learning for Exact Combinatorial Optimization: Learning to Branch
Branch-and-bound is a systematic enumerative method for combinatorial op...
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06/07/2022
Regression in Tensor Product Spaces by the Method of Sieves
Estimation of a conditional mean (linking a set of features to an outcom...
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11/27/2021
FQ-ViT: Fully Quantized Vision Transformer without Retraining
Network quantization significantly reduces model inference complexity an...
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10/06/2021
ClimateGAN: Raising Climate Change Awareness by Generating Images of Floods
Climate change is a major threat to humanity, and the actions required t...
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09/29/2021
One Loss for All: Deep Hashing with a Single Cosine Similarity based Learning Objective
A deep hashing model typically has two main learning objectives: to make...
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05/05/2021
On the Optimality of Nuclear-norm-based Matrix Completion for Problems with Smooth Non-linear Structure
Originally developed for imputing missing entries in low rank, or approx...
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04/02/2021
A Sieve Stochastic Gradient Descent Estimator for Online Nonparametric Regression in Sobolev ellipsoids
The goal of regression is to recover an unknown underlying function that...
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04/01/2021
An Online Projection Estimator for Nonparametric Regression in Reproducing Kernel Hilbert Spaces
The goal of nonparametric regression is to recover an underlying regress...
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03/30/2021
Spatiotemporal Transformer for Video-based Person Re-identification
Recently, the Transformer module has been transplanted from natural lang...
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03/16/2021
Ternary Hashing
This paper proposes a novel ternary hash encoding for learning to hash m...
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02/27/2021
Singularity-aware motion planning for multi-axis additive manufacturing
Multi-axis additive manufacturing enables high flexibility of material d...
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12/08/2020
UnrealPerson: An Adaptive Pipeline towards Costless Person Re-identification
The main difficulty of person re-identification (ReID) lies in collectin...
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11/16/2020
A robust solution of a statistical inverse problem in multiscale computational mechanics using an artificial neural network
This work addresses the inverse identification of apparent elastic prope...
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10/24/2020
Learning Contextualized Knowledge Structures for Commonsense Reasoning
Recently, neural-symbolic architectures have achieved success on commons...
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09/13/2020
Identifying Grey-box Thermal Models with Bayesian Neural Networks
Smart thermostats are one of the most prevalent home automation products...
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06/20/2020
Rethinking Privacy Preserving Deep Learning: How to Evaluate and Thwart Privacy Attacks
This paper investigates capabilities of Privacy-Preserving Deep Learning...
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04/29/2020
Interactive Rainbow Score: A Visual-centered Multimodal Flute Tutoring System
Learning to play an instrument is intrinsically multimodal, and we have ...
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01/23/2020
Disassembling the Dataset: A Camera Alignment Mechanism for Multiple Tasks in Person Re-identification
In person re-identification (ReID), one of the main challenges is the di...
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12/18/2019
Neural Networks Weights Quantization: Target None-retraining Ternary (TNT)
Quantization of weights of deep neural networks (DNN) has proven to be a...
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10/15/2019
Background Segmentation for Vehicle Re-Identification
Vehicle re-identification (Re-ID) is very important in intelligent trans...
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09/24/2019
Single Camera Training for Person Re-identification
Person re-identification (ReID) aims at finding the same person in diffe...
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02/06/2019
Fully Distributed Packet Scheduling Framework for Handling Disturbances in Lossy Real-Time Wireless Networks
Along with the rapid growth of Industrial Internet-of-Things (IIoT) appl...
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11/16/2018