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04/19/2023
Inferring High-level Geographical Concepts via Knowledge Graph and Multi-scale Data Integration: A Case Study of C-shaped Building Pattern Recognition
Effective building pattern recognition is critical for understanding urb...
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04/10/2023
Local-Global Temporal Difference Learning for Satellite Video Super-Resolution
Optical-flow-based and kernel-based approaches have been widely explored...
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02/07/2023
Scaling Self-Supervised End-to-End Driving with Multi-View Attention Learning
On end-to-end driving, a large amount of expert driving demonstrations i...
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11/30/2022
Ferroelectric FET based Context-Switching FPGA Enabling Dynamic Reconfiguration for Adaptive Deep Learning Machines
Field Programmable Gate Array (FPGA) is widely used in acceleration of d...
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11/17/2022
Privacy against Real-Time Speech Emotion Detection via Acoustic Adversarial Evasion of Machine Learning
Emotional Surveillance is an emerging area with wide-reaching privacy co...
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11/16/2022
Psychophysiology-aided Perceptually Fluent Speech Analysis of Children Who Stutter
This first-of-its-kind paper presents a novel approach named PASAD that ...
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03/05/2022
Rib Suppression in Digital Chest Tomosynthesis
Digital chest tomosynthesis (DCT) is a technique to produce sectional 3D...
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08/21/2020
Action-Based Representation Learning for Autonomous Driving
Human drivers produce a vast amount of data which could, in principle, b...
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09/12/2019
On Learning Nominal Automata with Binders
We investigate a learning algorithm in the context of nominal automata, ...
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06/07/2019
Multimodal End-to-End Autonomous Driving
Autonomous vehicles (AVs) are key for the intelligent mobility of the fu...
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05/29/2019
Coherent Semantic Attention for Image Inpainting
The latest deep learning-based approaches have shown promising results f...
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01/25/2019
Surrogate Supervision for Medical Image Analysis: Effective Deep Learning From Limited Quantities of Labeled Data
We investigate the effectiveness of a simple solution to the common prob...
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01/27/2018
Interactive Deep Colorization With Simultaneous Global and Local Inputs
Colorization methods using deep neural networks have become a recent tre...
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01/03/2018