Instruct: Given a scientific paper title, retrieve paper titles that are cited by the given paper
Query: Reverse Optical Flow for Self-Supervised Adaptive Autonomous Robot Navigation
The Use of Optical Flow for Road Navigation
Autonomous Visual Navigation of a Mobile Robot Using a Human-Guided Experience
Optical Flow Estimation Using a Spatial Pyramid Network
Back to Basics: Unsupervised Learning of Optical Flow via Brightness Constancy and Motion Smoothness
Geometric Consistency for Self-Supervised End-to-End Visual Odometry
End-to-end deep learning for autonomous navigation of mobile robot
The computation of optical flow
Object scene flow for autonomous vehicles
Real-time optical flow-based video stabilization for unmanned aerial vehicles
Optical Flow Requires Multiple Strategies (but Only One Network)
Secrets of optical flow estimation and their principles
Fast Optical Flow using Dense Inverse Search
FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks
Safe robot navigation using an omnidirectional camera
Never Forget: Balancing Exploration and Exploitation via Learning Optical Flow
LiteFlowNet: A Lightweight Convolutional Neural Network for Optical Flow Estimation
Domain Adaptation Using Adversarial Learning for Autonomous Navigation
Optical Flow Measurement using Lucas kanade Method
Deep Visual Odometry Methods for Mobile Robots
FlowNet: Learning Optical Flow with Convolutional Networks
Attention-based Recurrent Neural Networks for Question Answering
Collaborative location and activity recommendations with GPS history data
A Three-Pole 1.2–2.6-GHz RF MEMS Tunable Notch Filter With 40-dB Rejection and Bandwidth Control
the prefrontal cortex — an update time is of the essence .
Pyramidal implementation of the Lucas Kanade feature tracker