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Dragomir Anguelov

Dragomir Anguelov

D-Index & Metrics

Computer Science

D-Index
52
Citations
122045
World Ranking
4931
National Ranking
2290

Overview

Dragomir Anguelov is affiliated with Waymo in the United States and has contributed extensively to research in computer science and engineering, particularly in areas related to autonomous driving and robotics. Their work spans a broad spectrum of topics involving computer vision, artificial intelligence, and automotive engineering.

Their recent publications include:

  • Large Scale Interactive Motion Forecasting for Autonomous Driving: The Waymo Open Motion Dataset, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • MultiPath++: Efficient Information Fusion and Trajectory Aggregation for Behavior Prediction, 2022, 2022 International Conference on Robotics and Automation (ICRA)
  • TNT: Target-driveN Trajectory Prediction, 2020, arXiv (Cornell University)
  • SPG: Unsupervised Domain Adaptation for 3D Object Detection via Semantic Point Generation, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • PolyLoss: A Polynomial Expansion Perspective of Classification Loss Functions, 2022, arXiv (Cornell University)

Frequent co-authors in Anguelov's research include Charles R. Qi, Mingxing Tan, Yin Zhou, and Yuning Chai, with collaboration counts ranging from 11 to 28 joint works.

Anguelov has published extensively in several venues, with the majority of their work appearing in:

  • arXiv (Cornell University)
  • 2022 International Conference on Robotics and Automation (ICRA)
  • 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
  • IEEE Robotics and Automation Letters

The main fields of study covered by Anguelov include computer science and engineering, with particular focus on subfields such as computer vision and pattern recognition, automotive engineering, artificial intelligence, aerospace engineering, and building and construction.

Key topics addressed in their research consist of:

  • Autonomous Vehicle Technology and Safety
  • Advanced Neural Network Applications
  • Video Surveillance and Tracking Methods
  • Robotics and Sensor-Based Localization
  • Traffic Prediction and Management Techniques
  • Domain Adaptation and Few-Shot Learning
  • Human Pose and Action Recognition

Best Publications

  • Going deeper with convolutions

    Christian Szegedy;Wei Liu;Yangqing Jia;Pierre Sermanet

  • SSD: Single Shot MultiBox Detector

    Wei Liu;Dragomir Anguelov;Dumitru Erhan;Christian Szegedy

  • Scalability in Perception for Autonomous Driving: Waymo Open Dataset

    Pei Sun;Henrik Kretzschmar;Xerxes Dotiwalla;Aurelien Chouard

  • SCAPE: shape completion and animation of people

    Dragomir Anguelov;Praveen Srinivasan;Daphne Koller;Sebastian Thrun

  • Scalable Object Detection Using Deep Neural Networks

    Dumitru Erhan;Christian Szegedy;Alexander Toshev;Dragomir Anguelov

  • 3D Bounding Box Estimation Using Deep Learning and Geometry

    Arsalan Mousavian;Dragomir Anguelov;John Flynn;Jana Kosecka

  • Google Street View: Capturing the World at Street Level

    Dragomir Anguelov;Carole Dulong;Daniel Filip;Christian Frueh

  • VectorNet: Encoding HD Maps and Agent Dynamics From Vectorized Representation

    Jiyang Gao;Chen Sun;Hang Zhao;Yi Shen

  • PointFusion: Deep Sensor Fusion for 3D Bounding Box Estimation

    Danfei Xu;Dragomir Anguelov;Ashesh Jain

  • TRAINING DEEP NEURAL NETWORKS ON NOISY LABELS WITH BOOTSTRAPPING

    Scott E. Reed;Honglak Lee;Dragomir Anguelov;Christian Szegedy

  • System and method for enabling the use of captured images through recognition

    Salih Burak Gokturk;Dragomir Anguelov;Vincent Vanhoucke;Kuang-chih Lee

  • Discriminative learning of Markov random fields for segmentation of 3D scan data

    D. Anguelov;B. Taskarf;V. Chatalbashev;D. Koller

  • System and method for enabling search and retrieval from image files based on recognized information

    Salih Burak Gokturk;Dragomir Anguelov;Vincent Vanhoucke;Kuang-chih Lee

  • Scalable, high-quality object detection

    Christian Szegedy;Scott E. Reed;Dumitru Erhan;Dragomir Anguelov

  • Large Scale Interactive Motion Forecasting for Autonomous Driving: The Waymo Open Motion Dataset

    Scott Ettinger;Shuyang Cheng;Benjamin Caine;Chenxi Liu

  • MultiPath: Multiple Probabilistic Anchor Trajectory Hypotheses for Behavior Prediction

    Yuning Chai;Benjamin Sapp;Mayank Bansal;Dragomir Anguelov

  • System and method for recognizing objects from images and identifying relevancy amongst images and information

    Salih Burak Gokturk;Dragomir Anguelov;Vincent Vanchoucke;Kuang-chih Lee

  • System and method for enabling image recognition and searching of images

    Salih Burak Gokturk;Baris Sumengen;Diem Vu;Navneet Dalal

  • Image recognition system for use in analysing images of objects and applications thereof

    Salih Burak Gokturk;Baris Sumengen;Diem Vu;Navneet Dalal

  • System and method for search portions of objects in images and features thereof

    Salih Burak Gokturk;Baris Sumengen;Diem Vu;Navneet Dalal

  • System and method for providing objectified image renderings using recognition information from images

    Salih Burak Gokturk;Dragomir Anguelov;Vincent O. Vanhoucke;Kuang-chih Lee

Frequent Co-Authors

Vincent Vanhoucke
Vincent Vanhoucke Google (United States)
Daphne Koller
Daphne Koller insitro Inc.
Dumitru Erhan
Dumitru Erhan Google (United States)
Christian Szegedy
Christian Szegedy Google (United States)
Vijay K. Vasudevan
Vijay K. Vasudevan Google (United States)
Sebastian Thrun
Sebastian Thrun Stanford University
Lorenzo Torresani
Lorenzo Torresani Facebook (United States)
Jonathon Shlens
Jonathon Shlens Google (United States)
Hartmut Neven
Hartmut Neven Google (United States)
Cordelia Schmid
Cordelia Schmid French Institute for Research in Computer Science and Automation - INRIA

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