no code implementations • CVPR 2021 • Buu Phan, Fahim Mannan, Felix Heide
As a result, optimized patterns can become adversarial for the classifier after being transformed by a certain camera ISP and optic but not for others.
1 code implementation • CVPR 2020 • Nicolas Scheiner, Florian Kraus, Fangyin Wei, Buu Phan, Fahim Mannan, Nils Appenrodt, Werner Ritter, Jürgen Dickmann, Klaus Dietmayer, Bernhard Sick, Felix Heide
In this work, we depart from visible-wavelength approaches and demonstrate detection, classification, and tracking of hidden objects in large-scale dynamic environments using Doppler radars that can be manufactured at low-cost in series production.
2 code implementations • 23 Oct 2019 • Vahdat Abdelzad, Krzysztof Czarnecki, Rick Salay, Taylor Denounden, Sachin Vernekar, Buu Phan
Several approaches have been proposed to detect OOD inputs, but the detection task is still an ongoing challenge.
1 code implementation • 27 Apr 2019 • Sachin Vernekar, Ashish Gaurav, Taylor Denouden, Buu Phan, Vahdat Abdelzad, Rick Salay, Krzysztof Czarnecki
Discriminatively trained neural classifiers can be trusted, only when the input data comes from the training distribution (in-distribution).
no code implementations • 6 Dec 2018 • Taylor Denouden, Rick Salay, Krzysztof Czarnecki, Vahdat Abdelzad, Buu Phan, Sachin Vernekar
There is an increasingly apparent need for validating the classifications made by deep learning systems in safety-critical applications like autonomous vehicle systems.
no code implementations • 27 Nov 2018 • Buu Phan, Rick Salay, Krzysztof Czarnecki, Vahdat Abdelzad, Taylor Denouden, Sachin Vernekar
In many safety-critical applications such as autonomous driving and surgical robots, it is desirable to obtain prediction uncertainties from object detection modules to help support safe decision-making.
no code implementations • 4 May 2018 • Buu Phan
Although deep neural network (DNN) has achieved many state-of-the-art results, estimating the uncertainty presented in the DNN model and the data is a challenging task.