86 citations · 158 across the 3 of their papers we have counts for
3 papers · 1 filter
FISHING Net: Future Inference of Semantic Heatmaps In Grids
Noureldin Hendy, Cooper Sloan, Feng Tian +5
For autonomous robots to navigate a complex environment, it is crucial to understand the surrounding scene both geometrically and semantically. Modern autonomous robots employ mult…
Rules of the Road: Predicting Driving Behavior with a Convolutional Model of Semantic Interactions
Joey Hong, Benjamin Sapp, James Philbin
We focus on the problem of predicting future states of entities in complex, real-world driving scenarios. Previous research has used low-level signals to predict short time horizon…
DeepStereo: Learning to Predict New Views from the World's Imagery
John Flynn, Ivan Neulander, James Philbin +1
Deep networks have recently enjoyed enormous success when applied to recognition and classification problems in computer vision, but their use in graphics problems has been limited…