no code implementations • 24 Nov 2023 • Loh Sher En Jessica, Naheed Anjum Arafat, Wei Xian Lim, Wai Lee Chan, Adams Wai Kin Kong
This work also introduces the use of Finite Volume Features (FVF) in the graph convolutions as node and edge attributes, enabling its message-passing operations to adjust to different nodes.
no code implementations • 9 Nov 2023 • Wojciech Michal Matkowski, Xiaojie Li, Adams Wai Kin Kong
However, their performance deteriorates significantly in uncontrolled and uncooperative environments.
1 code implementation • 12 Jul 2021 • Bingzhi Chen, Yishu Liu, Zheng Zhang, Guangming Lu, Adams Wai Kin Kong
Accurate segmentation of organs or lesions from medical images is crucial for reliable diagnosis of diseases and organ morphometry.
1 code implementation • 6 Aug 2020 • Wojciech Michal Matkowski, Adams Wai Kin Kong
Five deep learning models are fine-tuned and evaluated in gender and ethnicity classification scenarios based on palmar 1) full hand, 2) segmented hand and 3) palmprint images.
1 code implementation • 28 Nov 2019 • Wojciech Michal Matkowski, Tingting Chai, Adams Wai Kin Kong
To study palmprint identification on images collected in uncontrolled and uncooperative environment, a new palmprint database is established and an end-to-end deep learning algorithm is proposed.
2 code implementations • 8 Oct 2019 • Wojciech Michal Matkowski, Frodo Kin Sun Chan, Adams Wai Kin Kong
Criminal and victim identification based on crime scene images is an important part of forensic investigation.
no code implementations • 27 May 2019 • Wojciech Michal Matkowski, Adams Wai Kin Kong, Han Su, Peng Chen, Rong Hou, Zhihe Zhang
Cameras have been widely installed in the regions where pandas live.
no code implementations • ECCV 2018 • Shitala Prasad, Adams Wai Kin Kong
Experimental results on three benchmark datasets with clutter backgrounds, COCO-Text, MSRA-TD500 and SVT show that the proposed algorithm provides comparable performance to state-of-the-art text spotting methods.
no code implementations • CVPR 2018 • Yanzhu Liu, Adams Wai Kin Kong, Chi Keong Goh
An implementation based on the CNN framework is proposed to solve the problem such that high-level features can be extracted automatically, and the optimal solution can be learned through the traditional back-propagation method.
Ranked #3 on Historical Color Image Dating on HCI