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Computer Science

D-Index
60
Citations
15500
World Ranking
3220
National Ranking
1562

Overview

Alexander G. Schwing is affiliated with the University of Illinois at Urbana-Champaign in the United States. Their research primarily falls under the broad domain of Computer Science, with detailed work in subfields such as Computer Vision and Pattern Recognition, Artificial Intelligence, Computational Mechanics, Signal Processing, and Computer Graphics and Computer-Aided Design.

Their recent scholarly output includes papers published mainly in arXiv (Cornell University) and prominent computer vision conferences. Notable recent publications include:

  • Per-Pixel Classification is Not All You Need for Semantic Segmentation, 2021, arXiv (Cornell University)
  • Masked-attention Mask Transformer for Universal Image Segmentation, 2021, arXiv (Cornell University)
  • Mask2Former for Video Instance Segmentation, 2021, arXiv (Cornell University)
  • Removing Bias in Multi-modal Classifiers: Regularization by Maximizing Functional Entropies, 2020, arXiv (Cornell University)
  • Polarization-based underwater geolocalization with deep learning, 2023, eLight

The scholar frequently collaborates with a core group of co-authors, which includes Zhongzheng Ren, Raymond A. Yeh, Unnat Jain, Yuan-Ting Hu, and Svetlana Lazebnik. This network of collaborators has contributed substantially to their collective research outputs.

Regarding publication venues, their work has appeared predominantly in:

  • arXiv (Cornell University)
  • 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • bioRxiv (Cold Spring Harbor Laboratory)

The primary research interests cover a diverse range of topics within the field of machine learning and computer vision, such as:

  • Multimodal Machine Learning Applications
  • Domain Adaptation and Few-Shot Learning
  • Advanced Vision and Imaging
  • Advanced Image and Video Retrieval Techniques
  • Generative Adversarial Networks and Image Synthesis
  • Advanced Neural Network Applications
  • Reinforcement Learning in Robotics

Alexander G. Schwing's contributions also extend to book publications with a notable title released through Springer Science+Business Media in 2021, entitled "Pattern Recognition."

Best Publications

  • Semantic Image Inpainting with Deep Generative Models

    Raymond A. Yeh;Chen Chen;Teck Yian Lim;Alexander G. Schwing;Alexander G. Schwing

  • Efficient Deep Learning for Stereo Matching

    Wenjie Luo;Alexander G. Schwing;Raquel Urtasun

  • Per-Pixel Classification is Not All You Need for Semantic Segmentation

    Bowen Cheng;Alexander G. Schwing;Alexander Kirillov

  • Real-time 3D imaging of Haines jumps in porous media flow

    Steffen Berg;Holger Ott;Stephan A. Klapp;Alex Schwing

  • Convolutional Image Captioning

    Jyoti Aneja;Aditya Deshpande;Alexander G. Schwing;Alexander G. Schwing

  • Fully Connected Deep Structured Networks

    Alexander G. Schwing;Raquel Urtasun

  • Videomatch: Matching based video object segmentation

    Yuan Ting Hu;Jia Bin Huang;Alexander G. Schwing

  • Learning deep structured models

    Liang Chieh Chen;Alexander Gerhard Schwing;Alan L. Yuille;Raquel Urtasun

  • SDFusion: Multimodal 3D Shape Completion, Reconstruction, and Generation

    Unknown

  • Calorimetry with deep learning: particle simulation and reconstruction for collider physics

    Dawit Belayneh;Federico Carminati;Amir Farbin;Benjamin Hooberman

  • Instance-Aware, Context-Focused, and Memory-Efficient Weakly Supervised Object Detection

    Zhongzheng Ren;Zhiding Yu;Xiaodong Yang;Ming-Yu Liu

  • Learning to segment under various forms of weak supervision

    Jia Xu;Alexander G. Schwing;Raquel Urtasun

  • Agriculture-Vision: A Large Aerial Image Database for Agricultural Pattern Analysis

    Mang Tik Chiu;Xingqian Xu;Yunchao Wei;Zilong Huang

  • Dynamic Bayesian Networks for Student Modeling

    Tanja Kaser;Severin Klingler;Alexander G. Schwing;Markus Gross

  • Out of the Box: Reasoning with Graph Convolution Nets for Factual Visual Question Answering

    Medhini Narasimhan;Svetlana Lazebnik;Alexander G. Schwing;Alexander G. Schwing

  • Generative Modeling Using the Sliced Wasserstein Distance

    Ishan Deshpande;Ziyu Zhang;Alexander Schwing

  • Monocular Object Instance Segmentation and Depth Ordering with CNNs

    Ziyu Zhang;Alexander G. Schwing;Sanja Fidler;Raquel Urtasun

  • Diverse and accurate image description using a variational auto-encoder with an additive Gaussian encoding space

    Liwei Wang;Alexander G. Schwing;Alexander G. Schwing;Svetlana Lazebnik

  • Creativity: Generating Diverse Questions Using Variational Autoencoders

    Unnat Jain;Ziyu Zhang;Alexander Schwing

  • MaskRNN: Instance Level Video Object Segmentation

    Yuan Ting Hu;Jia Bin Huang;Alexander Gerhard Schwing

  • Box in the Box: Joint 3D Layout and Object Reasoning from Single Images

    Alexander G. Schwing;Sanja Fidler;Marc Pollefeys;Raquel Urtasun

  • Efficient structured prediction for 3D indoor scene understanding

    Alexander G. Schwing;Tamir Hazan;Marc Pollefeys;Raquel Urtasun

Frequent Co-Authors

Raquel Urtasun
Raquel Urtasun University of Toronto
Svetlana Lazebnik
Svetlana Lazebnik University of Illinois at Urbana-Champaign
Marc Pollefeys
Marc Pollefeys ETH Zurich
Jian Peng
Jian Peng University of Illinois at Urbana-Champaign
Nam Sung Kim
Nam Sung Kim University of Illinois at Urbana-Champaign
Jia-Bin Huang
Jia-Bin Huang University of Maryland, College Park
David Forsyth
David Forsyth University of Illinois at Urbana-Champaign
Ali Farhadi
Ali Farhadi University of Washington
Richard S. Zemel
Richard S. Zemel University of Toronto
Steffen Berg
Steffen Berg Shell (Netherlands)

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