Schwing, Alexander G.

Masked-attention Mask Transformer for Universal Image Segmentation

Cheng, B., Misra, I., Schwing, A. G., Kirillov, A., & Girdhar, R. (2022) · 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 3,565

XMem: Long-Term Video Object Segmentation with an Atkinson-Shiffrin Memory Model

Cheng, H. K., & Schwing, A. G. (2022) · Lecture Notes in Computer Science

Advanced Neural Network ApplicationsVideo Surveillance and Tracking Methods

Cited by 449

XMem: Long-Term Video Object Segmentation with an Atkinson-Shiffrin Memory Model

Cheng, H. K., & Schwing, A. G. (2022) · arXiv

Advanced Neural Network ApplicationsVideo Surveillance and Tracking Methods

Cited by 449

VideoMatch: Matching Based Video Object Segmentation

Hu, Y.-T., Huang, J.-B., & Schwing, A. G. (2018) · Lecture Notes in Computer Science

Video Surveillance and Tracking MethodsAdvanced Neural Network Applications

Cited by 274

Putting the Object Back into Video Object Segmentation

Cheng, H. K., Oh, S. W., Price, B., Lee, J.-Y., & Schwing, A. (2024) · 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Advanced Neural Network ApplicationsVisual Attention and Saliency Detection

Cited by 148

Rent3D: Floor-plan priors for monocular layout estimation

Liu, C., Schwing, A. G., Kundu, K., Urtasun, R., & Fidler, S. (2015) · 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

3D Surveying and Cultural HeritageAdvanced Vision and Imaging

Cited by 104

Removing Bias in Multi-modal Classifiers: Regularization by Maximizing Functional Entropies

Gat, I., Schwartz, I., Schwing, A., & Hazan, T. (2020) · arXiv

Multimodal Machine Learning ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 63