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06/18/2023
The STOIC2021 COVID-19 AI challenge: applying reusable training methodologies to private data
Challenges drive the state-of-the-art of automated medical image analysi...
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04/25/2023
LEMaRT: Label-Efficient Masked Region Transform for Image Harmonization
We present a simple yet effective self-supervised pre-training method fo...
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11/04/2022
V2X Misbehavior in Maneuver Sharing and Coordination Service: Considerations for Standardization
Connected and Automated Vehicles (CAV) use sensors and wireless communic...
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09/05/2022
Convexifying Market Clearing of SoC-Dependent Bids from Merchant Storage Participants
State-of-charge (SoC) dependent bidding allows merchant storage particip...
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03/29/2022
Coarse to Fine: Image Restoration Boosted by Multi-Scale Low-Rank Tensor Completion
Existing low-rank tensor completion (LRTC) approaches aim at restoring a...
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12/03/2021
V2X Misbehavior and Collective Perception Service: Considerations for Standardization
Connected and Automated Vehicles use sensors and wireless communication ...
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10/21/2021
A Deep Insight into Measuring Face Image Utility with General and Face-specific Image Quality Metrics
Quality scores provide a measure to evaluate the utility of biometric sa...
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08/15/2021
Two Eyes Are Better Than One: Exploiting Binocular Correlation for Diabetic Retinopathy Severity Grading
Diabetic retinopathy (DR) is one of the most common eye conditions among...
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01/06/2021
Independent Action Models and Prediction of Combination Treatment Effects for Response Rate, Duration of Response and Tumor Size Change in Oncology Drug Development
An unprecedented number of new cancer targets are in development, and mo...
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09/08/2020
The curse of rationality in sequential scheduling games
Despite the emphases on computability issues in research of algorithmic ...
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07/27/2020
The Effect of Wearing a Mask on Face Recognition Performance: an Exploratory Study
Face recognition has become essential in our daily lives as a convenient...
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07/13/2020
Temporal Self-Ensembling Teacher for Semi-Supervised Object Detection
This paper focuses on the problem of Semi-Supervised Object Detection (S...
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02/28/2020
HOTCAKE: Higher Order Tucker Articulated Kernels for Deeper CNN Compression
The emerging edge computing has promoted immense interests in compacting...
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01/02/2020
Kernelized Support Tensor Train Machines
Tensor, a multi-dimensional data structure, has been exploited recently ...
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12/04/2018
Online scheduling of jobs with favorite machines
This work introduces a natural variant of the online machine scheduling ...
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11/12/2018
Matrix Product Operator Restricted Boltzmann Machines
A restricted Boltzmann machine (RBM) learns a probability distribution o...
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11/09/2018
Deep Compression of Sum-Product Networks on Tensor Networks
Sum-product networks (SPNs) represent an emerging class of neural networ...
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04/17/2018
A Support Tensor Train Machine
There has been growing interest in extending traditional vector-based ma...
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09/19/2017
