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08/19/2023
Utilizing Semantic Textual Similarity for Clinical Survey Data Feature Selection
Survey data can contain a high number of features while having a compara...
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07/06/2023
Assisting Clinical Decisions for Scarcely Available Treatment via Disentangled Latent Representation
Extracorporeal membrane oxygenation (ECMO) is an essential life-supporti...
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06/03/2023
Content-aware Token Sharing for Efficient Semantic Segmentation with Vision Transformers
This paper introduces Content-aware Token Sharing (CTS), a token reducti...
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10/10/2022
Self-explaining Hierarchical Model for Intraoperative Time Series
Major postoperative complications are devastating to surgical patients. ...
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07/31/2022
Adaptive Edge Offloading for Image Classification Under Rate Limit
This paper considers a setting where embedded devices are used to acquir...
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05/24/2022
HiPAL: A Deep Framework for Physician Burnout Prediction Using Activity Logs in Electronic Health Records
Burnout is a significant public health concern affecting nearly half of ...
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03/21/2022
Self-Supervised Road Layout Parsing with Graph Auto-Encoding
Aiming for higher-level scene understanding, this work presents a neural...
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06/11/2021
Part-aware Panoptic Segmentation
In this work, we introduce the new scene understanding task of Part-awar...
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04/30/2021
Predicting Intraoperative Hypoxemia with Joint Sequence Autoencoder Networks
We present an end-to-end model using streaming physiological time series...
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01/14/2021
Impact of Distributed Rate Limiting on Load Distribution in a Latency-sensitive Messaging Service
The cloud's flexibility and promise of seamless auto-scaling notwithstan...
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12/10/2020
Image-Graph-Image Translation via Auto-Encoding
This work presents the first convolutional neural network that learns an...
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10/26/2020
Real-Time Edge Classification: Optimal Offloading under Token Bucket Constraints
To deploy machine learning-based algorithms for real-time applications w...
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04/16/2020
Cityscapes-Panoptic-Parts and PASCAL-Panoptic-Parts datasets for Scene Understanding
In this technical report, we present two novel datasets for image scene ...
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09/10/2019
Semantic Foreground Inpainting from Weak Supervision
Semantic scene understanding is an essential task for self-driving vehic...
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07/23/2019
Hallucinating Beyond Observation: Learning to Complete with Partial Observation and Unpaired Prior Knowledge
We propose a novel single-step training strategy that allows convolution...
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04/06/2018
Monocular Semantic Occupancy Grid Mapping with Convolutional Variational Auto-Encoders
In this work, we research and evaluate the usage of convolutional variat...
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03/12/2018
