activity
20182026
most citedCombinatorial Optimization by Graph Pointer Networks and Hierarchical Reinforcement Learning

140 citations · 236 across the 21 of their papers we have counts for

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Showing 2019 · cs.CVShow all

5 papers · 2 filters

cs.CV20191 cited

Accurate Trajectory Prediction for Autonomous Vehicles

Michael Diodato, Yu Li, Antonia Lovjer +7

Predicting vehicle trajectories, angle and speed is important for safe and comfortable driving. We demonstrate the best predicted angle, speed, and best performance overall winning…

cs.CV20192 cited

Winning the ICCV 2019 Learning to Drive Challenge

Michael Diodato, Yu Li, Manik Goyal +1

Autonomous driving has a significant impact on society. Predicting vehicle trajectories, specifically, angle and speed, is important for safe and comfortable driving. This work foc…

cs.CV20191 cited

Using Segmentation Masks in the ICCV 2019 Learning to Drive Challenge

Antonia Lovjer, Minsu Yeom, Benedikt D. Schifferer +1

In this work we predict vehicle speed and steering angle given camera image frames. Our key contribution is using an external pre-trained neural network for segmentation. We augmen…

cs.CV2019

Visual Natural Language Query Auto-Completion for Estimating Instance Probabilities

Samuel Sharpe, Jin Yan, Fan Wu +1

We present a new task of query auto-completion for estimating instance probabilities. We complete a user query prefix conditioned upon an image. Given the complete query, we fine t…

cs.CV20192 cited

Prose for a Painting

Prerna Kashyap, Samrat Phatale, Iddo Drori

Painting captions are often dry and simplistic which motivates us to describe a painting creatively in the style of Shakespearean prose. This is a difficult problem, since there do…