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07/23/2023
Improving Out-of-Distribution Robustness of Classifiers via Generative Interpolation
Deep neural networks achieve superior performance for learning from inde...
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07/12/2023
FIS-ONE: Floor Identification System with One Label for Crowdsourced RF Signals
Floor labels of crowdsourced RF signals are crucial for many smart-city ...
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03/07/2023
Run, Don't Walk: Chasing Higher FLOPS for Faster Neural Networks
To design fast neural networks, many works have been focusing on reducin...
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10/14/2022
GRAFICS: Graph Embedding-based Floor Identification Using Crowdsourced RF Signals
We study the problem of floor identification for radiofrequency (RF) sig...
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10/14/2022
Semi-supervised Learning with Network Embedding on Ambient RF Signals for Geofencing Services
In applications such as elderly care, dementia anti-wandering and pandem...
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03/20/2022
TVConv: Efficient Translation Variant Convolution for Layout-aware Visual Processing
As convolution has empowered many smart applications, dynamic convolutio...
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01/11/2022
Tackling Multipath and Biased Training Data for IMU-Assisted BLE Proximity Detection
Proximity detection is to determine whether an IoT receiver is within a ...
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12/30/2021
A Lightweight and Accurate Spatial-Temporal Transformer for Traffic Forecasting
We study the forecasting problem for traffic with dynamic, possibly peri...
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09/05/2021
NAS-OoD: Neural Architecture Search for Out-of-Distribution Generalization
Recent advances on Out-of-Distribution (OoD) generalization reveal the r...
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05/20/2021
Crowd Counting by Self-supervised Transfer Colorization Learning and Global Prior Classification
Labeled crowd scene images are expensive and scarce. To significantly re...
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04/28/2021
Motion-guided Non-local Spatial-Temporal Network for Video Crowd Counting
We study video crowd counting, which is to estimate the number of object...
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01/12/2021
Joint Demosaicking and Denoising in the Wild: The Case of Training Under Ground Truth Uncertainty
Image demosaicking and denoising are the two key fundamental steps in di...
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12/31/2020
CNN-based Single Image Crowd Counting: Network Design, Loss Function and Supervisory Signal
Single image crowd counting is a challenging computer vision problem wit...
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12/17/2020
DecAug: Out-of-Distribution Generalization via Decomposed Feature Representation and Semantic Augmentation
While deep learning demonstrates its strong ability to handle independen...
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09/13/2020
vContact: Private WiFi-based Contact Tracing with Virus Lifespan
Covid-19 is primarily spread through contact with the virus which may su...
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09/09/2019
Crowd Counting on Images with Scale Variation and Isolated Clusters
Crowd counting is to estimate the number of objects (e.g., people or veh...
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01/18/2019
DA-LSTM: A Long Short-Term Memory with Depth Adaptive to Non-uniform Information Flow in Sequential Data
Much sequential data exhibits highly non-uniform information distributio...
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11/20/2018