World's Best Scientists 2026 revealed!
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Computer Science
Australia
2025

D-Index & Metrics

Computer Science

D-Index
61
Citations
18563
World Ranking
3024
National Ranking
84

Research.com Recognitions

  • 2025 - Research.com Computer Science in Australia Leader Award
  • 2023 - Research.com Computer Science in Australia Leader Award
  • 2022 - Research.com Computer Science in Australia Leader Award

Overview

Simon Lucey is affiliated with the University of Adelaide in Australia. Their research primarily falls within the fields of Computer Science and Engineering, with a significant focus on Computer Vision and Pattern Recognition and Artificial Intelligence. Their work also spans related subfields including Aerospace Engineering, Computational Mechanics, and Computer Graphics and Computer-Aided Design.

The scientist's publications cover a range of topics centered on visual computing and machine learning. Key areas of their research include Advanced Vision and Imaging, Robotics and Sensor-Based Localization, Advanced Neural Network Applications, Neural Networks and Applications, 3D Shape Modeling and Analysis, Computer Graphics and Visualization Techniques, and Domain Adaptation and Few-Shot Learning.

Among recent papers by Simon Lucey are the following:

  • "SDF-SRN: Learning Signed Distance 3D Object Reconstruction from Static Images" (2020, arXiv (Cornell University))
  • "Evading the Simplicity Bias: Training a Diverse Set of Models Discovers Solutions with Superior OOD Generalization" (2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR))
  • "Rethinking Positional Encoding" (2021, arXiv (Cornell University))
  • "Neural Trajectory Fields for Dynamic Novel View Synthesis" (2021, arXiv (Cornell University))
  • "Neural Prior for Trajectory Estimation" (2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR))

Simon Lucey frequently publishes in a variety of scientific venues. Notable venues where their work appears include:

  • arXiv (Cornell University)
  • 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • Value in Health
  • 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)

The researcher collaborates regularly with several co-authors, including:

  • Hemanth Saratchandran
  • Sameera Ramasinghe
  • Shin-Fang Chng
  • Lachlan Ewen MacDonald
  • Xue-Qian Li

Best Publications

  • Argoverse: 3D Tracking and Forecasting With Rich Maps

    Ming-Fang Chang;Deva Ramanan;James Hays;John Lambert

  • Learning Background-Aware Correlation Filters for Visual Tracking

    Hamed Kiani Galoogahi;Ashton Fagg;Simon Lucey

  • Deformable Model Fitting by Regularized Landmark Mean-Shift

    Jason M. Saragih;Simon Lucey;Jeffrey F. Cohn

  • PointNetLK: Robust & Efficient Point Cloud Registration Using PointNet

    Yasuhiro Aoki;Hunter Goforth;Rangaprasad Arun Srivatsan;Simon Lucey

  • Learning Depth from Monocular Videos Using Direct Methods

    Chaoyang Wang;Jose Miguel Buenaposada;Rui Zhu;Simon Lucey

  • Collecting Large, Richly Annotated Facial-Expression Databases from Movies

    Abhinav Dhall;R. Goecke;S. Lucey;T. Gedeon

  • Static facial expression analysis in tough conditions: Data, evaluation protocol and benchmark

    Abhinav Dhall;Roland Goecke;Simon Lucey;Tom Gedeon

  • The painful face - Pain expression recognition using active appearance models

    Ahmed Bilal Ashraf;Simon Lucey;Jeffrey F. Cohn;Tsuhan Chen

  • Need for Speed: A Benchmark for Higher Frame Rate Object Tracking

    Hamed Kiani Galoogahi;Ashton Fagg;Chen Huang;Deva Ramanan

  • Face alignment through subspace constrained mean-shifts

    Jason M. Saragih;Simon Lucey;Jeffrey F. Cohn

  • Correlation filters with limited boundaries

    Hamed Kiani Galoogahi;Terence Sim;Simon Lucey

  • Learning Efficient Point Cloud Generation for Dense 3D Object Reconstruction.

    Chen-Hsuan Lin;Chen Kong;Simon Lucey

  • Fast Convolutional Sparse Coding

    Hilton Bristow;Anders Eriksson;Simon Lucey

  • Multi-channel Correlation Filters

    Hamed Kiani Galoogahi;Terence Sim;Simon Lucey

  • Automatically Detecting Pain in Video Through Facial Action Units

    P Lucey;J F Cohn;I Matthews;S Lucey

  • Argoverse: 3D Tracking and Forecasting with Rich Maps

    Ming-Fang Chang;John Lambert;Patsorn Sangkloy;Jagjeet Singh

  • ST-GAN: Spatial Transformer Generative Adversarial Networks for Image Compositing

    Chen-Hsuan Lin;Ersin Yumer;Oliver Wang;Eli Shechtman

  • Learning Policies for Adaptive Tracking with Deep Feature Cascades

    Chen Huang;Simon Lucey;Deva Ramanan

  • Investigating Spontaneous Facial Action Recognition through AAM Representations of the Face

    Simon Lucey;Ahmed Bilal Ashraf;Jeffrey F. Cohn

  • Enforcing convexity for improved alignment with constrained local models

    Yang Wang;S. Lucey;J.F. Cohn

  • PCRNet: Point Cloud Registration Network using PointNet Encoding.

    Vinit Sarode;Xueqian Li;Hunter Goforth;Yasuhiro Aoki

Frequent Co-Authors

Sridha Sridharan
Sridha Sridharan Queensland University of Technology
Jeffrey F. Cohn
Jeffrey F. Cohn University of Pittsburgh
Jason Saragih
Jason Saragih Facebook (United States)
Vinod Chandran
Vinod Chandran Queensland University of Technology
Tsuhan Chen
Tsuhan Chen Cornell University
Patrick Lucey
Patrick Lucey Stats Perform
Clinton Fookes
Clinton Fookes Queensland University of Technology
Simon Denman
Simon Denman Queensland University of Technology
Iain Matthews
Iain Matthews University of East Anglia
Kenneth M. Prkachin
Kenneth M. Prkachin University of Northern British Columbia

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