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05/30/2023
On the Choice of Perception Loss Function for Learned Video Compression
We study causal, low-latency, sequential video compression when the outp...
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02/07/2021
Adversarial Imaging Pipelines
Adversarial attacks play an essential role in understanding deep neural ...
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12/13/2019
Seeing Around Street Corners: Non-Line-of-Sight Detection and Tracking In-the-Wild Using Doppler Radar
Conventional sensor systems record information about directly visible ob...
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10/23/2019
Detecting Out-of-Distribution Inputs in Deep Neural Networks Using an Early-Layer Output
Deep neural networks achieve superior performance in challenging tasks s...
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04/27/2019
Analysis of Confident-Classifiers for Out-of-distribution Detection
Discriminatively trained neural classifiers can be trusted, only when th...
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12/06/2018
Improving Reconstruction Autoencoder Out-of-distribution Detection with Mahalanobis Distance
There is an increasingly apparent need for validating the classification...
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11/27/2018
Calibrating Uncertainties in Object Localization Task
In many safety-critical applications such as autonomous driving and surg...
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05/04/2018
