Search Results for author: Fares Beainy

Found 3 papers, 0 papers with code

Rotational Rectification Network: Enabling Pedestrian Detection for Mobile Vision

no code implementations19 Jun 2017 Xinshuo Weng, Shangxuan Wu, Fares Beainy, Kris Kitani

To address this issue, we propose a Rotational Rectification Network (R2N) that can be inserted into any CNN-based pedestrian (or object) detector to adapt it to significant changes in camera rotation.

Pedestrian Detection

Visual Compiler: Synthesizing a Scene-Specific Pedestrian Detector and Pose Estimator

no code implementations15 Dec 2016 Namhoon Lee, Xinshuo Weng, Vishnu Naresh Boddeti, Yu Zhang, Fares Beainy, Kris Kitani, Takeo Kanade

We introduce the concept of a Visual Compiler that generates a scene specific pedestrian detector and pose estimator without any pedestrian observations.

Human Detection Pose Estimation

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