Nemanja Djuric | DeepAI

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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...

0 Meng Fan, et al. ∙

∙ 04/15/2021

Convolutions for Spatial Interaction Modeling

In many different fields interactions between objects play a critical ro...

7 Zhaoen Su, et al. ∙

∙ 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...

0 Abhishek Mohta, et al. ∙

∙ 11/05/2020

Ellipse Loss for Scene-Compliant Motion Prediction

Motion prediction is a critical part of self-driving technology, respons...

0 Henggang Cui, et al. ∙

∙ 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...

0 Henggang Cui, et al. ∙

∙ 11/01/2020

Temporally-Continuous Probabilistic Prediction using Polynomial Trajectory Parameterization

A commonly-used representation for motion prediction of actors is a sequ...

2 Zhaoen Su, et al. ∙

∙ 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...

4 Sudeep Fadadu, et al. ∙

∙ 08/18/2020

Multi-Modal Trajectory Prediction of NBA Players

National Basketball Association (NBA) players are highly motivated and s...

0 Sandro Hauri, et al. ∙

∙ 06/03/2020

MultiNet: Multiclass Multistage Multimodal Motion Prediction

One of the critical pieces of the self-driving puzzle is understanding t...

16 Nemanja Djuric, et al. ∙

∙ 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...

0 Eason Wang, et al. ∙

∙ 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...

0 Sai Yalamanchi, et al. ∙

∙ 08/01/2019

Deep Kinematic Models for Physically Realistic Prediction of Vehicle Trajectories

Self-driving vehicles (SDVs) hold great potential for improving traffic ...

3 Henggang Cui, et al. ∙

∙ 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 ...

6 Fang-Chieh Chou, et al. ∙

∙ 09/18/2018

Multimodal Trajectory Predictions for Autonomous Driving using Deep Convolutional Networks

Autonomous driving presents one of the largest problems that the robotic...

0 Henggang Cui, et al. ∙

∙ 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...

0 Nemanja Djuric, et al. ∙

∙ 08/17/2018

Motion Prediction of Traffic Actors for Autonomous Driving using Deep Convolutional Networks

Recent algorithmic improvements and hardware breakthroughs resulted in a...

0 Nemanja Djuric, et al. ∙

∙ 07/11/2017

Proceedings of the 2017 AdKDD & TargetAd Workshop

Proceedings of the 2017 AdKDD and TargetAd Workshop held in conjunction ...

0 Abraham Bagherjeiran, et al. ∙

∙ 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...

0 Mihajlo Grbovic, et al. ∙

∙ 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...

0 Nemanja Djuric, et al. ∙

∙ 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...

0 Nemanja Djuric, et al. ∙

∙ 06/27/2016

Network-Efficient Distributed Word2vec Training System for Large Vocabularies

Word2vec is a popular family of algorithms for unsupervised training of ...

0 Erik Ordentlich, et al. ∙

∙ 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...

0 Mihajlo Grbovic, et al. ∙

∙ 06/23/2016

E-commerce in Your Inbox: Product Recommendations at Scale

In recent years online advertising has become increasingly ubiquitous an...

0 Mihajlo Grbovic, et al. ∙