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2025

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Rising Stars

D-Index
45
Citations
16865
World Ranking
433
National Ranking
11

Computer Science

D-Index
36
Citations
13436
World Ranking
10969
National Ranking
546

Research.com Recognitions

  • 2025 - Research.com Rising Stars Award

Overview

Angela Dai is affiliated with the Technical University of Munich in Germany. Their research lies primarily at the intersection of computer science and engineering, with a strong focus on computer vision, computer graphics, and computational mechanics.

The main fields of study for Angela Dai are:

  • Computer Science
  • Engineering

Within these broad fields, their research covers several subfields including:

  • Computer Vision and Pattern Recognition
  • Computational Mechanics
  • Geology
  • Computer Graphics and Computer-Aided Design
  • Aerospace Engineering

The primary research topics addressed by Angela Dai are:

  • 3D Shape Modeling and Analysis
  • Human Pose and Action Recognition
  • Advanced Vision and Imaging
  • 3D Surveying and Cultural Heritage
  • Computer Graphics and Visualization Techniques
  • Human Motion and Animation
  • Robotics and Sensor-Based Localization

Angela Dai has contributed to numerous publications, appearing frequently in the following venues:

  • arXiv (Cornell University)
  • 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • ACM Transactions on Graphics
  • Journal of Mechanical Design

Recent papers authored or coauthored by Angela Dai include:

  • ROCA: Robust CAD Model Retrieval and Alignment from a Single Image, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • TransformerFusion: Monocular RGB Scene Reconstruction using Transformers, 2021, arXiv (Cornell University)
  • RetrievalFuse: Neural 3D Scene Reconstruction with a Database, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • SPAMs: Structured Implicit Parametric Models, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • Patch2CAD: Patchwise Embedding Learning for In-the-Wild Shape Retrieval from a Single Image, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV)

Frequent collaborators in Angela Dai's research include the following coauthors:

  • Matthias Nießner
  • Justus Thies
  • Yawar Siddiqui
  • Pablo Palafox
  • Yinyu Nie

Best Publications

  • ScanNet: Richly-Annotated 3D Reconstructions of Indoor Scenes

    Angela Dai;Angel X. Chang;Manolis Savva;Maciej Halber

  • Matterport3D: Learning from RGB-D Data in Indoor Environments

    Angel Chang;Angela Dai;Thomas Funkhouser;Maciej Halber

  • Volumetric and Multi-view CNNs for Object Classification on 3D Data

    Charles R. Qi;Hao Su;Matthias NieBner;Angela Dai

  • ScanNet: Richly-annotated 3D Reconstructions of Indoor Scenes

    Angela Dai;Angel X. Chang;Manolis Savva;Maciej Halber

  • BundleFusion: real-time globally consistent 3D reconstruction using on-the-fly surface re-integration

    Angela Dai;Matthias Nießner;Michael Zollhöfer;Shahram Izadi

  • Shape Completion Using 3D-Encoder-Predictor CNNs and Shape Synthesis

    Angela Dai;Charles Ruizhongtai Qi;Matthias NieBner

  • Matterport3D: Learning from RGB-D Data in Indoor Environments

    Angel Chang;Angela Dai;Thomas Funkhouser;Maciej Halber

  • 3D-SIS: 3D Semantic Instance Segmentation of RGB-D Scans

    Ji Hou;Angela Dai;Matthias NieBner

  • Volumetric and Multi-View CNNs for Object Classification on 3D Data

    Charles R. Qi;Hao Su;Matthias Niessner;Angela Dai

  • 3DMV: Joint 3D-Multi-View Prediction for 3D Semantic Scene Segmentation

    Angela Dai;Matthias Nießner

  • ScanComplete: Large-Scale Scene Completion and Semantic Segmentation for 3D Scans

    Angela Dai;Daniel Ritchie;Martin Bokeloh;Scott Reed

  • BundleFusion

    Unknown

  • Scan2CAD: Learning CAD Model Alignment in RGB-D Scans

    Armen Avetisyan;Manuel Dahnert;Angela Dai;Manolis Savva

  • Database-Assisted Object Retrieval for Real-Time 3D Reconstruction

    Yangyan Li;Angela Dai;Leonidas Guibas;Matthias Nieβner

  • Panoptic Lifting for 3D Scene Understanding with Neural Fields

    Unknown

  • Shading-based refinement on volumetric signed distance functions

    Michael Zollhöfer;Angela Dai;Matthias Innmann;Chenglei Wu

  • SG-NN: Sparse Generative Neural Networks for Self-Supervised Scene Completion of RGB-D Scans

    Angela Dai;Christian Diller;Matthias NieBner

  • ScanNet++: A High-Fidelity Dataset of 3D Indoor Scenes

    Unknown

  • Language-Grounded Indoor 3D Semantic Segmentation in the Wild

    Unknown

  • Learning to Navigate the Energy Landscape

    Julien Valentin;Angela Dai;Matthias Niessner;Pushmeet Kohli

  • Shape Completion using 3D-Encoder-Predictor CNNs and Shape Synthesis

    Angela Dai;Charles Ruizhongtai Qi;Matthias Nießner

  • Scan2Mesh: From Unstructured Range Scans to 3D Meshes

    Angela Dai;Matthias NieBner

  • 3D-SIS: 3D Semantic Instance Segmentation of RGB-D Scans

    Ji Hou;Angela Dai;Matthias Nießner

  • SG-NN: Sparse Generative Neural Networks for Self-Supervised Scene Completion of RGB-D Scans

    Angela Dai;Christian Diller;Matthias Nießner

  • Scan2Mesh: From Unstructured Range Scans to 3D Meshes.

    Angela Dai;Matthias Nießner

Frequent Co-Authors

Matthias Nießner
Matthias Nießner Technical University of Munich
Justus Thies
Justus Thies Technical University of Munich
Leonidas J. Guibas
Leonidas J. Guibas Stanford University
Michael Zollhöfer
Michael Zollhöfer Stanford University
Thomas Funkhouser
Thomas Funkhouser Google (United States)
Angel X. Chang
Angel X. Chang Simon Fraser University
Manolis Savva
Manolis Savva Simon Fraser University
Shahram Izadi
Shahram Izadi Google (United States)
Anelia Angelova
Anelia Angelova Google (United States)
Tsung-Yi Lin
Tsung-Yi Lin Nvidia (United States)

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