IW-FCV2022 Virtual

Hiroshima, Japan, Feb. 21-22, 2022

Awards

At the IW-FCV2022 awards ceremony held on February 22, the following awards were presented.

IW-FCV Honorable Contribution Award

IW-FCV Honorable Contribution Award is dedicated to the outstanding colleague who have been contributed for establishing and nourishing International Workshop of Frontiers on Computer Vision.

In February 2022, the IW-FCV2022 Steering Committee presented the award along with a commemorative crystal trophy to the four honorees:

Prof. Seiji Hata

Prof. Jong-Soo Choi

Prof. Kazuhiko Yamamoto

Dr. Weon-Geun Oh

Some photos from the award ceremony can be found in the workshop highlights.

IW-FCV2022 Research Awards

Best paper award

Hirochika Tanikawa, Ryo Kawahara and Takahiro Okabe

Online Illumination Planning for Shadow-Robust Photometric Stereo

Mustansar Fiaz, Arif Mahmood, Sehar Shahzad Farooq, Kamran Ali, Muhammad Shaheryar and Soon Ki Jung

Video Object Segmentation Based on Guided Feature Transfer Learning

Best student paper award

Toshiki Kamiya, Fumihiko Sakaue and Jun Sato

Deep Automatic Control of Learning Rates for GANs

Best presentation award (Day 1)

Mana Takeda and Keiji Yanai

Generating Images from Small Datasets Using Adaptive Point-wise Grouped Convolutions

Hirochika Tanikawa, Ryo Kawahara and Takahiro Okabe

Online Illumination Planning for Shadow-Robust Photometric Stereo

Han-Byul Jang and Chil-Woo Lee

Multi-region based radial GCN algorithm for human action recognition

Sangheon Park and Sung-Uk Jung

A Mobile-based Interactive Augmented Reality Service for Cultural Heritage Experience

Kosuke Kakizaki and Kengo Terasawa

A Novel Historical Manuscripts Displaying Method That Improves Their Readability While Preserving Their Appreciation

Best presentation award (Day 2)

Hidenori Ide, Hiromu Fujishige, Junichi Miyao and Takio Kurita

Decomposition of Invariant and Variant Features by using Convolutional Autoencoder

Mustansar Fiaz, Arif Mahmood, Sehar Shahzad Farooq, Kamran Ali, Muhammad Shaheryar and Soon Ki Jung

Video Object Segmentation Based on Guided Feature Transfer Learning

Ryunosuke Ikeda and Akinori Hidaka

Improvement of On-Road Object Detection using Inter-Region and Intra-Region Attention for Faster R-CNN

Takahiro Sakaki, Hidehiro Ohki, Keiji Gyohten and Toshiya Takami

A Study of Monocular Depth Estimation Using LiDAR Information and Stereo Images

Chanhee Kim and Jong-Il Park

Improving Virtual Object Selection Interaction by Reflecting User's Intention