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12/28/2022
Detection of Active Emergency Vehicles using Per-Frame CNNs and Output Smoothing
While inferring common actor states (such as position or velocity) is an...
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04/15/2021
Convolutions for Spatial Interaction Modeling
In many different fields interactions between objects play a critical ro...
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01/09/2021
Investigating the Effect of Sensor Modalities in Multi-Sensor Detection-Prediction Models
Detection of surrounding objects and their motion prediction are critica...
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11/05/2020
Ellipse Loss for Scene-Compliant Motion Prediction
Motion prediction is a critical part of self-driving technology, respons...
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11/05/2020
Uncertainty-Aware Vehicle Orientation Estimation for Joint Detection-Prediction Models
Object detection is a critical component of a self-driving system, taske...
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11/01/2020
Temporally-Continuous Probabilistic Prediction using Polynomial Trajectory Parameterization
A commonly-used representation for motion prediction of actors is a sequ...
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08/27/2020
Multi-View Fusion of Sensor Data for Improved Perception and Prediction in Autonomous Driving
We present an end-to-end method for object detection and trajectory pred...
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08/18/2020
Multi-Modal Trajectory Prediction of NBA Players
National Basketball Association (NBA) players are highly motivated and s...
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06/03/2020
MultiNet: Multiclass Multistage Multimodal Motion Prediction
One of the critical pieces of the self-driving puzzle is understanding t...
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04/14/2020
Improving Movement Predictions of Traffic Actors in Bird's-Eye View Models using GANs and Differentiable Trajectory Rasterization
One of the most critical pieces of the self-driving puzzle is the task o...
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03/13/2020
Long-term Prediction of Vehicle Behavior using Short-term Uncertainty-aware Trajectories and High-definition Maps
Motion prediction of surrounding vehicles is one of the most important t...
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08/01/2019
Deep Kinematic Models for Physically Realistic Prediction of Vehicle Trajectories
Self-driving vehicles (SDVs) hold great potential for improving traffic ...
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06/20/2019
Predicting Motion of Vulnerable Road Users using High-Definition Maps and Efficient ConvNets
Following detection and tracking of traffic actors, prediction of their ...
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09/18/2018
Multimodal Trajectory Predictions for Autonomous Driving using Deep Convolutional Networks
Autonomous driving presents one of the largest problems that the robotic...
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08/17/2018
Short-term Motion Prediction of Traffic Actors for Autonomous Driving using Deep Convolutional Networks
Despite its ubiquity in our daily lives, AI is only just starting to mak...
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08/17/2018
Motion Prediction of Traffic Actors for Autonomous Driving using Deep Convolutional Networks
Recent algorithmic improvements and hardware breakthroughs resulted in a...
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07/11/2017
Proceedings of the 2017 AdKDD & TargetAd Workshop
Proceedings of the 2017 AdKDD and TargetAd Workshop held in conjunction ...
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07/07/2016
Scalable Semantic Matching of Queries to Ads in Sponsored Search Advertising
Sponsored search represents a major source of revenue for web search eng...
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06/29/2016
Non-linear Label Ranking for Large-scale Prediction of Long-Term User Interests
We consider the problem of personalization of online services from the v...
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06/28/2016
Hierarchical Neural Language Models for Joint Representation of Streaming Documents and their Content
We consider the problem of learning distributed representations for docu...
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06/27/2016
Network-Efficient Distributed Word2vec Training System for Large Vocabularies
Word2vec is a popular family of algorithms for unsupervised training of ...
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06/23/2016
Gender and Interest Targeting for Sponsored Post Advertising at Tumblr
As one of the leading platforms for creative content, Tumblr offers adve...
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06/23/2016