19 citations · 40 across the 4 of their papers we have counts for
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cs.CV2019★ 19 cited
Fooling Detection Alone is Not Enough: First Adversarial Attack against Multiple Object Tracking
Yunhan Jia, Yantao Lu, Junjie Shen +3
Recent work in adversarial machine learning started to focus on the visual perception in autonomous driving and studied Adversarial Examples (AEs) for object detection models. Howe…
cs.CV2019★ 1 cited
Autonomous Human Activity Classification from Ego-vision Camera and Accelerometer Data
Yantao Lu, Senem Velipasalar
There has been significant amount of research work on human activity classification relying either on Inertial Measurement Unit (IMU) data or data from static cameras providing a t…
cs.CV2018
Autonomously and Simultaneously Refining Deep Neural Network Parameters by a Bi-Generative Adversarial Network Aided Genetic Algorithm
Yantao Lu, Burak Kakillioglu, Senem Velipasalar
The choice of parameters, and the design of the network architecture are important factors affecting the performance of deep neural networks. Genetic Algorithms (GA) have been used…