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Victor Adrian Prisacariu

Victor Adrian Prisacariu

D-Index & Metrics

Computer Science

D-Index
39
Citations
5901
World Ranking
9823
National Ranking
616

Overview

Victor Adrian Prisacariu is affiliated with the University of Oxford in the United Kingdom. Their research spans multiple fields, primarily within Computer Science and Engineering. Their work focuses extensively on subfields such as Computer Vision and Pattern Recognition, Artificial Intelligence, Aerospace Engineering, Geology, and Computer Graphics and Computer-Aided Design.

The scientist's research topics cover a wide range of advanced computational methodologies and applications, including:

  • Advanced Vision and Imaging
  • Robotics and Sensor-Based Localization
  • Advanced Image and Video Retrieval Techniques
  • Advanced Neural Network Applications
  • Domain Adaptation and Few-Shot Learning
  • 3D Surveying and Cultural Heritage
  • Computer Graphics and Visualization Techniques

Prisacariu has contributed to numerous publications, with a notable presence in leading venues such as arXiv (Cornell University), the 2021 IEEE/CVF International Conference on Computer Vision (ICCV), and the International Journal of Social Robotics. Other venues include Lecture Notes in Computer Science and Zenodo (CERN European Organization for Nuclear Research).

Some recent papers include:

  • NeRF--: Neural Radiance Fields Without Known Camera Parameters, 2021, arXiv (Cornell University)
  • Separable Flow: Learning Motion Cost Volumes for Optical Flow Estimation, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • Dual-Resolution Correspondence Networks, 2020, arXiv (Cornell University)
  • Direct-PoseNet: Absolute Pose Regression with Photometric Consistency, 2021, 2021 International Conference on 3D Vision (3DV)
  • Integrating Social Assistive Robots, IoT, Virtual Communities and Smart Objects to Assist at-Home Independently Living Elders: the MoveCare Project, 2022, International Journal of Social Robotics

They frequently collaborate with several coauthors, including:

  • Zirui Wang
  • Eric Brachmann
  • Shuai Chen
  • Yiwen Li
  • Yunguan Fu

Best Publications

  • GA-Net: Guided Aggregation Net for End-To-End Stereo Matching

    Feihu Zhang;Victor Prisacariu;Ruigang Yang;Philip H.S. Torr

  • Very High Frame Rate Volumetric Integration of Depth Images on Mobile Devices

    Olaf Kahler;Victor Adrian Prisacariu;Carl Yuheng Ren;Xin Sun

  • The Temporal Opportunist: Self-Supervised Multi-Frame Monocular Depth

    Jamie Watson;Oisin Mac Aodha;Victor Prisacariu;Gabriel Brostow

  • PWP3D: Real-Time Segmentation and Tracking of 3D Objects

    Victor A. Prisacariu;Ian D. Reid

  • NeRF$--$: Neural Radiance Fields Without Known Camera Parameters

    Zirui Wang;Shangzhe Wu;Weidi Xie;Min Chen

  • Incremental dense semantic stereo fusion for large-scale semantic scene reconstruction

    Vibhav Vineet;Ondrej Miksik;Morten Lidegaard;Matthias Niebner

  • fastHOG – a real-time GPU implementation of HOG

    Victor A. Prisacariu;Ian Reid

  • RelocNet: Continuous Metric Learning Relocalisation Using Neural Nets

    Vassileios Balntas;Shuda Li;Victor Prisacariu

  • Dense Reconstruction Using 3D Object Shape Priors

    Amaury Dame;Victor A. Prisacariu;Carl Y. Ren;Ian Reid

  • Domain-invariant stereo matching networks

    Feihu Zhang;Xiaojuan Qi;Ruigang Yang;Victor Prisacariu

  • Dense Decoder Shortcut Connections for Single-Pass Semantic Segmentation

    Piotr Bilinski;Victor Prisacariu

  • Real-Time Large-Scale Dense 3D Reconstruction with Loop Closure

    Olaf Kähler;Victor Adrian Prisacariu;David William Murray

  • FlowNet3D++: Geometric Losses For Deep Scene Flow Estimation

    Zirui Wang;Shuda Li;Henry Howard-Jenkins;Victor Adrian Prisacariu

  • Separable Flow: Learning Motion Cost Volumes for Optical Flow Estimation

    Feihu Zhang;Oliver J. Woodford;Victor Adrian Prisacariu;Philip H.S. Torr

  • DSConv: Efficient Convolution Operator

    Marcelo Gennari Do Nascimento;Victor Prisacariu;Roger Fawcett

  • DenseCut: Densely Connected CRFs for Realtime GrabCut

    M. M. Cheng;M. M. Cheng;V. A. Prisacariu;S. Zheng;P. H. S. Torr

  • InfiniTAM v3: A Framework for Large-Scale 3D Reconstruction with Loop Closure

    Victor Adrian Prisacariu;Olaf Kähler;Stuart Golodetz;Michael Sapienza

  • Nonlinear shape manifolds as shape priors in level set segmentation and tracking

    Victor Adrian Prisacariu;Ian Reid

  • Hierarchical Voxel Block Hashing for Efficient Integration of Depth Images

    Olaf Kahler;Victor Prisacariu;Julien Valentin;David Murray

  • Real-Time RGB-D Camera Pose Estimation in Novel Scenes Using a Relocalisation Cascade

    Tommaso Cavallari;Stuart Golodetz;Nicholas A. Lord;Julien Valentin

  • Integrating Object Detection with 3D Tracking Towards a Better Driver Assistance System

    Victor Adrian Prisacariu;Radu Timofte;Karel Zimmermann;Ian Reid

  • gSLICr: SLIC superpixels at over 250Hz

    Carl Yuheng Ren;Victor Adrian Prisacariu;Ian D. Reid

Frequent Co-Authors

Ian Reid
Ian Reid University of Adelaide
Philip H. S. Torr
Philip H. S. Torr University of Oxford
Ming-Ming Cheng
Ming-Ming Cheng Nankai University
Ruigang Yang
Ruigang Yang University of Kentucky
Xiaojuan Qi
Xiaojuan Qi University of Hong Kong
Shahram Izadi
Shahram Izadi Google (United States)
Radu Timofte
Radu Timofte University of Wurzburg
Carsten Rother
Carsten Rother Heidelberg University
Benjamin W. Wah
Benjamin W. Wah Chinese University of Hong Kong
Gabriel J. Brostow
Gabriel J. Brostow University College London

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