CVPR 2022 Workshops Media Forensics The Art of Robustness: Devil and Angel in Adversarial Machine Learning Perception Beyond the Visible Spectrum New Trends in Image Restoration and Enhancement EarthVision: Large Scale Computer Vision for Remote Sensing Imagery ...
Yuval Alaluf, Omer Tov, Ron Mokady, Rinon Gal, Amit Bermano; Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022, pp. 18511-18521 Abstract The inversion of real images into StyleGAN's latent space is a well-studied problem. Nevertheless, app...
Timmy S. T. Wan, Jun-Cheng Chen, Tzer-Yi Wu, Chu-Song Chen; Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022, pp. 16702-16711 Abstract In visual search, the gallery set could be incrementally growing and added to the database in ...
Liqiang He, Sinisa Todorovic; Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022, pp. 9377-9386 Self- and cross-attention in Transformers provide for high model capacity, making them viable models for object detection. However, Transformers still lag in...
Wonhui Park, Dongkwon Jin, Chang-Su Kim; Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022, pp. 2667-2675 Abstract Novel contour descriptors, called eigencontours, based on low-rank approximation are proposed ...
Gengyun Jia, Huaibo Huang, Chaoyou Fu, Ran He; Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022, pp. 2446-2455 Abstract Existing image cropping works mainly use anchor evaluation methods or coordinate regres...
Chenhongyi Yang, Zehao Huang, Naiyan Wang; Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022, pp. 13668-13677 While general object detection with deep learning has achieved great success in the past few years, the performance and effi...
En-Compactness: Self-Distillation Embedding & Contrastive Generation for Generalized Zero-Shot Learning Xia Kong, Zuodong Gao, Xiaofan Li, Ming Hong, Jun Liu, Chengjie Wang, Yuan Xie, Yanyun Qu; Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Re...
A Framework for Learning Ante-Hoc Explainable Models via Concepts Anirban Sarkar, Deepak Vijaykeerthy, Anindya Sarkar, Vineeth N Balasubramanian; Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022, pp. 10286-10295 ...
Mark Sandler, Andrey Zhmoginov, Max Vladymyrov, Andrew Jackson; Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022, pp. 12155-12164 In this paper we propose augmenting Vision Transformer models with learnable memory tokens. Our approach allows the mode...