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1709.02371
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PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume
7 September 2017
Deqing Sun
Xiaodong Yang
Ming Liu
Jan Kautz
3DPC
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Papers citing
"PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume"
50 / 1,171 papers shown
Title
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Hierarchical Deep Stereo Matching on High-resolution Images
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Joshua M. Manela
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Self-supervised Object Motion and Depth Estimation from Video
Qi Dai
Vaishakh Patil
Simon Hecker
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Luc Van Gool
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Pyramid Multi-view Stereo Net with Self-adaptive View Aggregation
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Richard Shen
Corina Gurau
Siddharth Sharma
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Sean Micklethwaite
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Domain-invariant Stereo Matching Networks
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Ping Luo
27
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Mathieu Salzmann
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Learning End-To-End Scene Flow by Distilling Single Tasks Knowledge
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Quadratic video interpolation
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A Self Validation Network for Object-Level Human Attention Estimation
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Neural View-Interpolation for Sparse Light Field Video
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SENSE: a Shared Encoder Network for Scene-flow Estimation
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Varun Jampani
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Dimitrios Tzionas
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Attacking Optical Flow
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Dragos Costea
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Moving Indoor: Unsupervised Video Depth Learning in Challenging Environments
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MDE
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FlowNorm: A Learning-based Method for Increasing Convergence Range of Direct Alignment
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Joint Stereo Video Deblurring, Scene Flow Estimation and Moving Object Segmentation
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Visual Odometry Revisited: What Should Be Learnt?
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Deep End-to-End Alignment and Refinement for Time-of-Flight RGB-D Module
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Temporally Consistent Depth Prediction with Flow-Guided Memory Units
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Motion Guided Attention for Video Salient Object Detection
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Boosting Real-Time Driving Scene Parsing with Shared Semantics
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Multi-person Pose Tracking using Sequential Monte Carlo with Probabilistic Neural Pose Predictor
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Learning Residual Flow as Dynamic Motion from Stereo Videos
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Visuomotor Understanding for Representation Learning of Driving Scenes
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Multimodal Deep Models for Predicting Affective Responses Evoked by Movies
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Flow-Motion and Depth Network for Monocular Stereo and Beyond
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