review date: 2019/11/04 (by Meyong-Gyu.LEE @Soongsil Univ.) Kor review of ICCV 2019.

1. CGLAB 이명규ICCV 2019 REVIEW (1/9) Presented by CGLAB 이명규
ICCV 2019 REVIEW

2. CGLAB 이명규ICCV 2019 REVIEW (2/9)
INDEX
1. Conference Introduction
2. ICCV 2019 Statistics
3. Trends of ICCV 2019

3. CGLAB 이명규ICCV 2019 REVIEW (3/9)
↳
Conference Introduction1-1
• International Conference on Computer Vision
• 격년제로 개최, CVPR과 함께 컴퓨터과학 분야 최고 수준 학회 중 하나
• 컴퓨터 비전 및 인공지능, 패턴인식 주제로 올해는 Oct. 27 ~ Nov.2 개최
• 결성일 : 1987년, 평균 accept rate : 26%
• 역대 개최지 : 서울(2019), 베니스(2017), 산티아고(2015), ….
ICCV 2019

4. CGLAB 이명규ICCV 2019 REVIEW (4/9)
↳
• 3D Computer Vision, Action Recognition, Biometrics, face and gesture,
Biomedical image analysis, Computational photography, photometry,
shape from X, Deep Learning, Low-level vision and Image Processing,
Motion and Tracking, Optimization methods
• Recognition: detection, categorization, indexing and matching, Robot
Vision, Segmentation, grouping and shape representation, Statistical
learning
Call For Papers
Conference Introduction1-1

5. CGLAB 이명규ICCV 2019 REVIEW (5/9)
↳
Acceptance Rate
ICCV 2019 Statistics1-2
27.90%
30.90%
29.00%
25.00%
0.00%
5.00%
10.00%
15.00%
20.00%
25.00%
30.00%
35.00%
ICCV'13 ICCV'15 ICCV'17 ICCV'19
Acceptance Rate
Acceptance Rate
1629 1698
2143
4304
454 525 621
1077
0
500
1000
1500
2000
2500
3000
3500
4000
4500
5000
ICCV'13 ICCV'15 ICCV'17 ICCV'19
Submitted/Accepted Paper
Submitted Accepted

6. CGLAB 이명규ICCV 2019 REVIEW (6/9)
↳
Top 30 Keywords
Trends of ICCV 20191-3
https://hoya012.github.io/blog/ICCV-2019-paper-preview/
Graph↑
Adversarial↑
Unsupervised↑
Attention↑
Re-Identification↑

7. CGLAB 이명규ICCV 2019 REVIEW (7/9)
↳ Other Keywords….
• Scene Understanding
➢Scene Graph
• Graph Neural Network
• Network Architecture Search
➢Curriculum learning, RL
• Lightweight Model
➢Quantization(Model Compression)
• Few-Shot Learning
➢Metric Learning : Tuple loss, pair loss etc
➢Meta Learning
Trends of ICCV 20191-3
• Semantic Adversarial Attack
• Knowledge Distillation
• Super Resolution
➢SR in Low-light environment
➢SR in Video
• Pose Estimation
➢Using Point Cloud
➢Using Single RGB Image
• Object Detection & Segmentation
➢Single image or Video

8. CGLAB 이명규ICCV 2019 REVIEW (8/9)
↳ Other Keywords….
• Scene Graph
https://cs.stanford.edu/people/ranjaykrishna/sgrl/index.html
• Graph Neural Network
https://tykimos.github.io/warehouse/2019-7-4-ISS_2nd_Deep_Learning_Conference_All_Together_jtkim_file.pdf
https://www.slideshare.net/JungwonKim10/graph-neural-network
• Few-Shot Learning
https://brstar96.github.io/posttranslation/Few-Shot-Learning-in-CVPR-2019/
• Knowledge Distillation
https://blog.lunit.io/2018/03/22/distilling-the-knowledge-in-a-neural-network-nips-2014-workshop/
https://jamiekang.github.io/2017/05/21/distilling-the-knowledge-in-a-neural-network/
• Lightweight model – Quantization
http://blog.naver.com/PostView.nhn?blogId=qualcommkr&logNo=221522181807&parentCategoryNo=&categoryNo=&viewDate=&isSh
owPopularPosts=false&from=menu
Trends of ICCV 20191-3

9. CGLAB 이명규ICCV 2019 REVIEW (9/9)
Thank you for Listening.
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