Image Processing Bootcamp2020

A laboratory study session on image processing.

FY 2021 Content is here.

Session 1

Date:
2020/04/09(Thu)10:00-11:00
Speaker:
Ash
Content:
materials (Lab Member Only)

Session 2

Date:
2020/04/23(Thu)10:00-11:00
Speaker:
Gergely
Content:
materials (Lab Member Only)

Session 3

Date:
2020/05/14(Thu)10:00-11:00
Speaker:
Sato
Paper:
Depth from Videos in the Wild: Unsupervised Monocular Depth Learning from Unknown Cameras
Content:
In this pptx, P31-P61 is the Session 3 content.

Session 4

Date:
2020/05/28(Thu)10:00-11:00
Speaker:
Ash
Paper:
ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks
Content:
In this PDF

Session 5

Date:
2020/06/11(Thu)10:00-11:00
Speaker:
Nakamura
Content:
materials (Lab Member Only)

Session 6

Date:
2020/06/25(Thu)10:00-11:00
Cancelled

Session 7

Date:
2020/07/09 (Thu) 10:00-11:00
Speaker:
Maeda
Paper:
Warburg, F., Hauberg, S., López-Antequera, M., Gargallo, P., Kuang, Y., & Civera, J. (2020). Mapillary Street-Level Sequences: A Dataset for Lifelong Place Recognition. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (pp. 2626-2635).
Content:
materials

Session 8

Date:
2020/07/30 (Thu) 10:00-11:00
Speaker:
Miyoshi
Paper:
Alex H. Lang, Sourabh Vora, Holger Caesar, Lubing Zhou, Jiong Yang, Oscar Beijbom (2018). PointPillars: Fast Encoders for Object Detection from Point Clouds. CVPR 2019.
Content:
materials

Session 9

Date:
2020/09/10 (Thu) 10:00-11:00
Speaker:
Maeda
Paper:
Sohn, Kihyuk, et al. "Fixmatch: Simplifying semi-supervised learning with consistency and confidence." arXiv preprint arXiv:2001.07685 (2020).
Content:
materials

Session 10

Date:
2020/09/24 (Thu) 10:00-11:00
Speaker:
Sato
Paper:
Xue, F., Zhuo, G., Huang, Z., Fu, W., Wu, Z., & Ang Jr, M. H. (2020). Toward Hierarchical Self-Supervised Monocular Absolute Depth Estimation for Autonomous Driving Applications. arXiv preprint arXiv:2004.05560.
Content:
In this pptx, P207-P229 is the Session 10 content.

Session 11

Date:
2020/10/22 (Thu) 10:00-11:00
Speaker:
Sato
Paper:
Neven, Davy, et al. “Towards end-to-end lane detection: an instance segmentation approach.” 2018 IEEE intelligent vehicles symposium (IV). IEEE, 2018.
Content:
In this pptx, P27-P39 is the Session 11 content.

Session 12

Date:
2020/11/12(Thu)09:00-10:00
Speaker:
Nakamura
Paper:
Mildenhall, B., Srinivasan, P. P., Tancik, M., Barron, J. T., Ramamoorthi, R., & Ng, R. (2020). Nerf: Representing scenes as neural radiance fields for view synthesis. arXiv preprint arXiv:2003.08934.
Content: materials (Lab Member Only)

Session 13

Date: 2020/11/26 (Thu) 10:00-11:00
Speaker: Ash
Paper: Carion, N., Massa, F., Synnaeve, G., Usunier, N., Kirillov, A., & Zagoruyko, S. (2020). End-to-End Object Detection with Transformers. ECCV, 2020.
Content: In this PDF

Session 14

Date: 2020/12/10 (Thu) 10:00-11:00
Speaker: Gergely
Paper: Z. Wang, L. Zheng, Y. Liu, and S. Wang, “Towards real-time multi-object tracking. ECCV, 2020.
Content: here

Session 15

Date: 2020/12/24 (Thu) 10:00-11:00
Speaker: Miyoshi
Paper: Zhou, Y., Huang, J., Dai, X., Luo, L., Chen, Z., & Ma, Y. (2020). HoliCity: A City-Scale Data Platform for Learning Holistic 3D Structures. arXiv preprint arXiv:2008.03286.
Content: here

Session 16

Date: 2021/01/28 (Thu) 10:00-11:00
Speaker: Maeda
Paper: Schlegl, T., Seeböck, P., Waldstein, S. M., Schmidt-Erfurth, U., & Langs, G. (2017, June). Unsupervised anomaly detection with generative adversarial networks to guide marker discovery. In International conference on information processing in medical imaging (pp. 146-157). Springer, Cham.
Content: here (Lab Member Only)

Session 17

Date: 2021/02/25 (Thu) 10:00-11:00
Speaker: Sato
Paper:
Roddick, T., Kendall, A., & Cipolla, R. (2018). Orthographic feature transform for monocular 3d object detection. arXiv preprint arXiv:1811.08188.
Content:
In this pptx, P109-P130 is the Session 17 content.

Session 18

Date: 2021/03/11 (Thu) 10:00-11:00
Speaker: Nakamura
Paper: Ling, Huan, et al. "Fast interactive object annotation with curve-gcn." Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. 2019.
Content: here