116 citations · 125 across the 3 of their papers we have counts for
3 papers
N2N Learning: Network to Network Compression via Policy Gradient Reinforcement Learning
Anubhav Ashok, Nicholas Rhinehart, Fares Beainy +1
While bigger and deeper neural network architectures continue to advance the state-of-the-art for many computer vision tasks, real-world adoption of these networks is impeded by ha…
Rotational Rectification Network: Enabling Pedestrian Detection for Mobile Vision
Xinshuo Weng, Shangxuan Wu, Fares Beainy +1
Across a majority of pedestrian detection datasets, it is typically assumed that pedestrians will be standing upright with respect to the image coordinate system. This assumption,…
Visual Compiler: Synthesizing a Scene-Specific Pedestrian Detector and Pose Estimator
Namhoon Lee, Xinshuo Weng, Vishnu Naresh Boddeti +4
We introduce the concept of a Visual Compiler that generates a scene specific pedestrian detector and pose estimator without any pedestrian observations. Given a single image and a…