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Showing results 1 to 4 of 4

1
Dual Temperature Helps Contrastive Learning Without Many Negative Samples: Towards Understanding and Simplifying MoCo

Zhang, Chaoning; Zhang, Kang; Pham, Trung X; Niu, Axi; Qiao, Zhinan; Yoo, Chang-Dong; Kweon, In-So, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp.14421 - 14430, IEEE, 2022-06

2
Fast and efficient image quality enhancement via desubpixel convolutional neural networks

Vu, Thang; Nguyen, Cao V; Pham, Trung X; Luu, Tung M; Yoo, Chang-Dong, 15th European Conference on Computer Vision, ECCV 2018, pp.243 - 259, Springer Verlag, 2018-09

3
HOW DOES SIMSIAM AVOID COLLAPSE WITHOUT NEGATIVE SAMPLES? A UNIFIED UNDERSTANDING WITH SELF-SUPERVISED CONTRASTIVE LEARNING

Zhang, Chaoning; Zhang, Kang; Zhang, Chenshuang; Pham, Trung X; Yoo, Chang-Dong; Kweon, In-So, 10th International Conference on Learning Representations, ICLR 2022, International Conference on Learning Representations, ICLR, 2022-04

4
PIRM challenge on perceptual image enhancement on smartphones: Report

Ignatov, Andrey; Timofte, Radu; Van Vu, Thang; Luu, Tung Minh; Pham, Trung X; Van Nguyen, Cao; Kim, Yongwoo; et al, 15th European Conference on Computer Vision, ECCV 2018, pp.315 - 333, Springer Verlag, 2019-09

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