2026 Angjoo Kanazawa: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	44	7374	7158	3214	3090	89	17487

Overview

Angjoo Kanazawa is affiliated with the University of California, Berkeley in the United States. Their research primarily spans the field of Computer Science with a strong focus on Computer Vision and Pattern Recognition.

Their scholarly contributions include a significant number of publications, with frequent appearances in prominent venues. Key publication venues for Kanazawa's work include:

arXiv (Cornell University)
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
2021 IEEE/CVF International Conference on Computer Vision (ICCV)
ACM Transactions on Graphics
Computer Graphics Forum

Kanazawa's research covers various subfields in Computer Science, such as:

Computer Vision and Pattern Recognition
Computer Graphics and Computer-Aided Design
Computational Mechanics
Control and Systems Engineering
Human-Computer Interaction

Among the main topics they have investigated are:

Advanced Vision and Imaging
Human Pose and Action Recognition
Computer Graphics and Visualization Techniques
3D Shape Modeling and Analysis
Generative Adversarial Networks and Image Synthesis
Human Motion and Animation
Video Surveillance and Tracking Methods

Their recent notable papers include:

"Plenoxels: Radiance Fields without Neural Networks," 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
"PlenOctrees for Real-time Rendering of Neural Radiance Fields," 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
"AI Choreographer: Music Conditioned 3D Dance Generation with AIST++," 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
"AMP," 2021, ACM Transactions on Graphics
"Infinite Nature: Perpetual View Generation of Natural Scenes from a Single Image," 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV)

Frequent collaborators in their research include:

Matthew Tancik
Jitendra Malik
Georgios Pavlakos
Noah Snavely
Vickie Ye

Best Publications

Plenoxels: Radiance Fields without Neural Networks

Unknown

1882
Citations
End-to-End Recovery of Human Shape and Pose

Angjoo Kanazawa;Michael J. Black;David W. Jacobs;Jitendra Malik

1858
Citations
Keep It SMPL: Automatic Estimation of 3D Human Pose and Shape from a Single Image

Federica Bogo;Angjoo Kanazawa;Christoph Lassner;Christoph Lassner;Peter V. Gehler;Peter V. Gehler

1571
Citations
pixelNeRF: Neural Radiance Fields from One or Few Images

Alex Yu;Vickie Ye;Matthew Tancik;Angjoo Kanazawa

1375
Citations
PIFu: Pixel-Aligned Implicit Function for High-Resolution Clothed Human Digitization

Shunsuke Saito;Zeng Huang;Ryota Natsume;Shigeo Morishima

1160
Citations
PlenOctrees for Real-Time Rendering of Neural Radiance Fields

Alex Yu;Ruilong Li;Matthew Tancik;Hao Li

777
Citations
Learning Category-Specific Mesh Reconstruction from Image Collections

Angjoo Kanazawa;Shubham Tulsiani;Alexei A. Efros;Jitendra Malik

573
Citations
Learning 3D Human Dynamics From Video

Angjoo Kanazawa;Jason Y. Zhang;Panna Felsen;Jitendra Malik

546
Citations
K-Planes: Explicit Radiance Fields in Space, Time, and Appearance

Unknown

528
Citations
Nerfstudio: A Modular Framework for Neural Radiance Field Development

Unknown

479
Citations
AI Choreographer: Music Conditioned 3D Dance Generation With AIST++

Ruilong Li;Shan Yang;David A. Ross;Angjoo Kanazawa

468
Citations
3D Menagerie: Modeling the 3D Shape and Pose of Animals

Silvia Zuffi;Angjoo Kanazawa;David W. Jacobs;Michael J. Black

359
Citations
SfSNet: Learning Shape, Reflectance and Illuminance of Faces 'in the Wild'

Soumyadip Sengupta;Angjoo Kanazawa;Carlos D. Castillo;David W. Jacobs

319
Citations
AMP: adversarial motion priors for stylized physics-based character control

Xue Bin Peng;Ze Ma;Pieter Abbeel;Sergey Levine

305
Citations
Dog breed classification using part localization

Jiongxin Liu;Angjoo Kanazawa;David Jacobs;Peter Belhumeur

267
Citations
LERF: Language Embedded Radiance Fields

Unknown

238
Citations
SFV: reinforcement learning of physical skills from videos

Xue Bin Peng;Angjoo Kanazawa;Jitendra Malik;Pieter Abbeel

223
Citations
Instruct-NeRF2NeRF: Editing 3D Scenes with Instructions

Unknown

214
Citations
PIFu: Pixel-Aligned Implicit Function for High-Resolution Clothed Human Digitization

Shunsuke Saito;Zeng Huang;Ryota Natsume;Shigeo Morishima

194
Citations
Variational Discriminator Bottleneck: Improving Imitation Learning, Inverse RL, and GANs by Constraining Information Flow

Xue Bin Peng;Angjoo Kanazawa;Sam Toyer;Pieter Abbeel

174
Citations
WarpNet: Weakly Supervised Matching for Single-View Reconstruction

Angjoo Kanazawa;David W. Jacobs;Manmohan Chandraker

171
Citations
Locally Scale-Invariant Convolutional Neural Networks

Angjoo Kanazawa;Abhishek Sharma;David W. Jacobs

142
Citations
Lions and Tigers and Bears: Capturing Non-rigid, 3D, Articulated Shape from Images

Silvia Zuffi;Angjoo Kanazawa;Michael J. Black

138
Citations
Three-D Safari: Learning to Estimate Zebra Pose, Shape, and Texture From Images “In the Wild”

Silvia Zuffi;Angjoo Kanazawa;Tanya Berger-Wolf;Michael Black

130
Citations
Perceiving 3D Human-Object Spatial Arrangements from a Single Image in the Wild

Jason Y. Zhang;Sam Pepose;Hanbyul Joo;Deva Ramanan

94
Citations
Shape and Viewpoint Without Keypoints

Shubham Goel;Angjoo Kanazawa;Jitendra Malik

88
Citations

Frequent Co-Authors

Jitendra Malik University of California, Berkeley

David W. Jacobs University of Maryland, College Park

Michael J. Black Max Planck Institute for Intelligent Systems

Noah Snavely Cornell University

Pieter Abbeel University of California, Berkeley

Sergey Levine University of California, Berkeley

Peter V. Gehler Zalando SE

Jiajun Wu Stanford University

Hao Li University of California, Berkeley

Ronen Basri Weizmann Institute of Science

External Links

Personal website of Angjoo Kanazawa

If you think any of the details on this page are incorrect, let us know.

Related Online Degrees & Career Pathways

As you consider studying Computer Science in the USA, it's important to explore related fields and alternative online degree options. The rapid growth of technology has increased demand for professionals in STEM fields, making online degrees more accessible and respected by employers.

For students interested in applied sciences, an online degree for mechanical engineering offers the flexibility to learn key engineering principles from anywhere. If you are attracted to foundational sciences, earning an online physics bachelor's degree can open doors to research and high-tech industries.

Data remains central to innovation. Accredited data science programs prepare students for fast-growing careers in analytics, artificial intelligence, and machine learning. Interested in electronics and power systems? Understanding electrical engineering degree online admissions can help you launch a career in this versatile field.

Each of these online degrees offers specialized skills and flexible pathways, empowering students to adapt to evolving technology careers.