Nemanja Djuric

Orcid: 0000-0002-6502-7891

According to our database1, Nemanja Djuric authored at least 64 papers between 2011 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
AdKDD 2024.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

End-to-End Deep Learning Models for Gap Identification in Maize Fields.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Exploration of Data Augmentation Techniques for Bush Detection in Blueberry Orchards.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
AdKDD 2023.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Improved Tracking of Articulated Vehicles in Self-Driving Applications Using Phantom Observations.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

EEG and Eye-Tracking Error-Related Responses During Predictive Text Interactions: A BCI Case Study.
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

Bush Detection for Vision-based UGV Guidance in Blueberry Orchards: Data Set and Methods.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Detection of Active Emergency Vehicles using Per-Frame CNNs and Output Smoothing.
CoRR, 2022

Multi-View Fusion of Sensor Data for Improved Perception and Prediction in Autonomous Driving.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

AdKDD 2022.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Convolutions for Spatial Interaction Modeling.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
Investigating the Effect of Sensor Modalities in Multi-Sensor Detection-Prediction Models.
CoRR, 2021

Multi-Modal Trajectory Prediction of NBA Players.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

AdKDD 2021.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

MultiXNet: Multiclass Multistage Multimodal Motion Prediction.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2021

Uncertainty-Aware Estimation of Vehicle Orientation for Self-Driving Applications.
Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021

Temporally-Continuous Probabilistic Prediction using Polynomial Trajectory Parameterization.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

Ellipse Loss for Scene-Compliant Motion Prediction.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Autonomous Vehicle Vision 2021: ICCV Workshop Summary.
Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

2020
Uncertainty-Aware Vehicle Orientation Estimation for Joint Detection-Prediction Models.
CoRR, 2020

Improving Movement Predictions of Traffic Actors in Bird's-Eye View Models using GANs and Differentiable Trajectory Rasterization.
CoRR, 2020

Uncertainty-aware Short-term Motion Prediction of Traffic Actors for Autonomous Driving.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

Improving Movement Predictions of Traffic Actors in Bird's-Eye View Models using GANs and Differentiable Trajectory Rasterization.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Predicting Motion of Vulnerable Road Users using High-Definition Maps and Efficient ConvNets.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2020

Long-term Prediction of Vehicle Behavior using Short-term Uncertainty-aware Trajectories and High-definition Maps.
Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 2020

Deep Kinematic Models for Kinematically Feasible Vehicle Trajectory Predictions.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

Growing Adaptive Multi-hyperplane Machines.
Proceedings of the 37th International Conference on Machine Learning, 2020

Improving Word Embeddings through Iterative Refinement of Word- and Character-level Models.
Proceedings of the 28th International Conference on Computational Linguistics, 2020

2019
Deep Kinematic Models for Physically Realistic Prediction of Vehicle Trajectories.
CoRR, 2019

Multimodal Trajectory Predictions for Autonomous Driving using Deep Convolutional Networks.
Proceedings of the International Conference on Robotics and Automation, 2019

2018
Motion Prediction of Traffic Actors for Autonomous Driving using Deep Convolutional Networks.
CoRR, 2018

2017
Modeling Healthcare Quality via Compact Representations of Electronic Health Records.
IEEE ACM Trans. Comput. Biol. Bioinform., 2017

Proceedings of the 2017 AdKDD & TargetAd Workshop.
CoRR, 2017

Analyzing Uber's Ride-sharing Economy.
Proceedings of the 26th International Conference on World Wide Web Companion, 2017

2016
Semi-supervised combination of experts for aerosol optical depth estimation.
Artif. Intell., 2016

Smartphone App Categorization for Interest Targeting in Advertising Marketplace.
Proceedings of the 25th International Conference on World Wide Web, 2016

Travel the World: Analyzing and Predicting Booking Behavior using E-mail Travel Receipts.
Proceedings of the 25th International Conference on World Wide Web, 2016

Portrait of an Online Shopper: Understanding and Predicting Consumer Behavior.
Proceedings of the Ninth ACM International Conference on Web Search and Data Mining, 2016

TargetAd2016: 2nd International Workshop on Ad Targeting at Scale.
Proceedings of the Ninth ACM International Conference on Web Search and Data Mining, 2016

Scalable Semantic Matching of Queries to Ads in Sponsored Search Advertising.
Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval, 2016

Leveraging Blogging Activity on Tumblr to Infer Demographics and Interests of Users for Advertising Purposes.
Proceedings of the 6th Workshop on 'Making Sense of Microposts' co-located with the 25th International World Wide Web Conference (WWW 2016), 2016

Network-Efficient Distributed Word2vec Training System for Large Vocabularies.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

2015
Gaussian Conditional Random Fields for Aggregation of Operational Aerosol Retrievals.
IEEE Geosci. Remote. Sens. Lett., 2015

queryCategorizr: A Large-Scale Semi-Supervised System for Categorization of Web Search Queries.
Proceedings of the 24th International Conference on World Wide Web Companion, 2015

Search Retargeting using Directed Query Embeddings.
Proceedings of the 24th International Conference on World Wide Web Companion, 2015

Hate Speech Detection with Comment Embeddings.
Proceedings of the 24th International Conference on World Wide Web Companion, 2015

Hierarchical Neural Language Models for Joint Representation of Streaming Documents and their Content.
Proceedings of the 24th International Conference on World Wide Web, 2015

Large-scale Contextual Query-to-Ad Matching and Retrieval System for Sponsored Search: (Abstract).
Proceedings of the 24th International Conference on World Wide Web Companion, 2015

Context- and Content-aware Embeddings for Query Rewriting in Sponsored Search.
Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2015

E-commerce in Your Inbox: Product Recommendations at Scale.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

Gender and Interest Targeting for Sponsored Post Advertising at Tumblr.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

2014
Frugal Traffic Monitoring with Autonomous Participatory Sensing.
Proceedings of the 2014 SIAM International Conference on Data Mining, 2014

Hidden Conditional Random Fields with Deep User Embeddings for Ad Targeting.
Proceedings of the 2014 IEEE International Conference on Data Mining, 2014

Non-Linear Label Ranking for Large-Scale Prediction of Long-Term User Interests.
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2013
Supervised clustering of label ranking data using label preference information.
Mach. Learn., 2013

BudgetedSVM: a toolbox for scalable SVM approximations.
J. Mach. Learn. Res., 2013

MS-kNN: protein function prediction by integrating multiple data sources.
BMC Bioinform., 2013

Multi-Prototype Label Ranking with Novel Pairwise-to-Total-Rank Aggregation.
Proceedings of the IJCAI 2013, 2013

Semi-Supervised Learning for Integration of Aerosol Predictions from Multiple Satellite Instruments.
Proceedings of the IJCAI 2013, 2013

Efficient Visualization of Large-Scale Data Tables through Reordering and Entropy Minimization.
Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013

Distributed confidence-weighted classification on MapReduce.
Proceedings of the 2013 IEEE International Conference on Big Data (IEEE BigData 2013), 2013

2012
Supervised Clustering of Label Ranking Data.
Proceedings of the Twelfth SIAM International Conference on Data Mining, 2012

Convex Kernelized Sorting.
Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012

2011
Trading representability for scalability: adaptive multi-hyperplane machine for nonlinear classification.
Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011


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