World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
52
Citations
24936
World Ranking
4947
National Ranking
2300

Overview

Oliver Wang is affiliated with Adobe Systems in the United States. Their research activity is centered predominantly in the field of Computer Science, with a strong focus on Computer Vision and Pattern Recognition.

Their recent research output includes several publications spanning from 2020 to 2022. Notable papers include:

  • Real-Time Semantic Segmentation With Fast Attention, 2020, IEEE Robotics and Automation Letters
  • Swapping Autoencoder for Deep Image Manipulation, 2020, arXiv (Cornell University)
  • Towards Accurate Reconstruction of 3D Scene Shape From A Single Monocular Image, 2022, IEEE Transactions on Pattern Analysis and Machine Intelligence
  • Neural Volumetric Object Selection, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • Neural Scene Flow Fields for Space-Time View Synthesis of Dynamic Scenes, 2020, arXiv (Cornell University)

The scientist maintains collaborations with frequent co-authors such as Fabian Caba Heilbron, Jianming Zhang, Simon Niklaus, Wei Yin, and Simon Chen.

Oliver Wang's research contributions are often published in venues including:

  • arXiv (Cornell University)
  • ACM Transactions on Graphics
  • Creativity and Cognition
  • IEEE Robotics and Automation Letters
  • IEEE Transactions on Pattern Analysis and Machine Intelligence

Their work extensively covers main topics related to advanced vision and imaging, with publications also addressing generative adversarial networks and image synthesis, computer graphics and visualization techniques, optical measurement and interference techniques, video analysis and summarization, advanced neural network applications, and image processing techniques and applications.

  • Advanced Vision and Imaging
  • Generative Adversarial Networks and Image Synthesis
  • Computer Graphics and Visualization Techniques
  • Optical measurement and interference techniques
  • Video Analysis and Summarization
  • Advanced Neural Network Applications
  • Image Processing Techniques and Applications

Their subfields of study reinforce this thematic concentration:

  • Computer Vision and Pattern Recognition
  • Computer Graphics and Computer-Aided Design
  • Artificial Intelligence
  • Media Technology
  • Computational Mechanics

Best Publications

  • The Unreasonable Effectiveness of Deep Features as a Perceptual Metric

    Richard Zhang;Phillip Isola;Phillip Isola;Alexei A. Efros;Eli Shechtman

  • Toward Multimodal Image-to-Image Translation

    Jun Yan Zhu;Richard Zhang;Deepak Pathak;Trevor Darrell

  • CNN-Generated Images Are Surprisingly Easy to Spot… for Now

    Sheng-Yu Wang;Oliver Wang;Richard Zhang;Andrew Owens

  • High-Resolution Image Inpainting Using Multi-scale Neural Patch Synthesis

    Chao Yang;Xin Lu;Zhe Lin;Eli Shechtman

  • Multimodal Image-to-Image Translation by Enforcing Bi-Cycle Consistency

    Jun-Yan Zhu;Richard Zhang;Deepak Pathak;Trevor Darrell

  • Localizing Moments in Video with Natural Language

    Lisa Anne Hendricks;Lisa Anne Hendricks;Oliver Wang;Eli Shechtman;Josef Sivic

  • Neural Scene Flow Fields for Space-Time View Synthesis of Dynamic Scenes

    Zhengqi Li;Simon Niklaus;Noah Snavely;Oliver Wang

  • Deep Video Deblurring for Hand-Held Cameras

    Shuochen Su;Mauricio Delbracio;Jue Wang;Guillermo Sapiro

  • Nonlinear disparity mapping for stereoscopic 3D

    Manuel Lang;Alexander Hornung;Oliver Wang;Steven Poulakos

  • Learning Blind Video Temporal Consistency

    Wei Sheng Lai;Jia Bin Huang;Oliver Wang;Eli Shechtman

  • Phase-based frame interpolation for video

    Simone Meyer;Oliver Wang;Henning Zimmer;Max Grosse

  • MSG-GAN: Multi-Scale Gradients for Generative Adversarial Networks

    Animesh Karnewar;Oliver Wang

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

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

  • Bilateral Space Video Segmentation

    Nicolas Marki;Federico Perazzi;Oliver Wang;Alexander Sorkine-Hornung

  • Fully Connected Object Proposals for Video Segmentation

    Federico Perazzi;Oliver Wang;Markus Gross;Alexander Sorkine-Hornung

  • Temporally Distributed Networks for Fast Video Semantic Segmentation

    Ping Hu;Fabian Caba;Oliver Wang;Zhe Lin

  • Learning to Recover 3D Scene Shape from a Single Image

    Wei Yin;Jianming Zhang;Oliver Wang;Simon Niklaus

  • Swapping Autoencoder for Deep Image Manipulation

    Taesung Park;Jun-Yan Zhu;Oliver Wang;Jingwan Lu

  • Structure-Guided Ranking Loss for Single Image Depth Prediction

    Ke Xian;Jianming Zhang;Oliver Wang;Long Mai

  • Practical temporal consistency for image-based graphics applications

    Manuel Lang;Oliver Wang;Tunc Aydin;Aljoscha Smolic

  • Localizing Moments in Video with Temporal Language

    Lisa Anne Hendricks;Oliver Wang;Eli Shechtman;Josef Sivic

Frequent Co-Authors

Markus Gross
Markus Gross ETH Zurich
Eli Shechtman
Eli Shechtman Adobe Systems (United States)
Zhe Lin
Zhe Lin Adobe Systems (United States)
James Davis
James Davis University of California, Santa Cruz
Alexei A. Efros
Alexei A. Efros University of California, Berkeley
Bryan C. Russell
Bryan C. Russell Adobe Systems (United States)
Trevor Darrell
Trevor Darrell University of California, Berkeley
Ping Tan
Ping Tan Simon Fraser University
Jue Wang
Jue Wang Tencent (China)
Hendrik P. A. Lensch
Hendrik P. A. Lensch University of Tübingen

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