Instruct: Given a scientific paper title, retrieve paper titles that are cited by the given paper
Query: Joint Unsupervised Learning of Optical Flow and Depth by Watching Stereo Videos
Unsupervised Learning of Depth and Ego-Motion from Video
Unsupervised CNN for Single View Depth Estimation: Geometry to the Rescue
Lucas/Kanade Meets Horn/Schunck: Combining Local and Global Optic Flow Methods
Monocular Depth Estimation: A Survey
Unsupervised Learning of Monocular Depth Estimation with Bundle Adjustment, Super-Resolution and Clip Loss
Large Displacement Optical Flow: Descriptor Matching in Variational Motion Estimation
Structured Adversarial Training for Unsupervised Monocular Depth Estimation
Learning Independent Object Motion from Unlabelled Stereoscopic Videos
Towards Real-Time Unsupervised Monocular Depth Estimation on CPU
EV-FlowNet: Self-Supervised Optical Flow Estimation for Event-based Cameras
UnDEMoN: Unsupervised Deep Network for Depth and Ego-Motion Estimation
Performance of optical flow techniques
A CNNs-based method for optical flow estimation with prior constraints and stacked U-Nets
Efficient Joint Segmentation, Occlusion Labeling, Stereo and Flow Estimation
Dense Estimation and Object-Based Segmentation of the Optical Flow with Robust Techniques
Focal Flow: Measuring Distance and Velocity with Defocus and Differential Motion
Uncertainty Estimates and Multi-Hypotheses Networks for Optical Flow
Dense Monocular Depth Estimation in Complex Dynamic Scenes
High Accuracy Optical Flow Estimation Based on a Theory for Warping
Dual CNN Models for Unsupervised Monocular Depth Estimation
MSC: A Dataset for Macro-Management in StarCraft II
Efficacy of a single treatment of head lice with a neem seed extract: an in vivo and in vitro study on nits and motile stages
DTAM: Dense tracking and mapping in real-time
Eleven new boreal species of Inocybe with nodulose spores
Design space exploration of FPGA-based Deep Convolutional Neural Networks