Zobrazeno 1 - 10
of 114
pro vyhledávání: '"Terence Sim"'
Publikováno v:
Computational Visual Media, Vol 3, Iss 4, Pp 315-324 (2017)
Abstract We present a method for transferring lighting between photographs of a static scene. Our method takes as input a photo collection depicting a scene with varying viewpoints and lighting conditions. We cast lighting transfer as an edit propaga
Externí odkaz:
https://doaj.org/article/dd3f553334064c3986e3e3bfa16dcd98
Autor:
Sanka Rasnayaka, Terence Sim
Publikováno v:
2022 IEEE International Joint Conference on Biometrics (IJCB).
Publikováno v:
2022 26th International Conference on Pattern Recognition (ICPR).
Publikováno v:
2022 26th International Conference on Pattern Recognition (ICPR).
Autor:
Jiashi Feng, Yunchao Wei, Guodong Guo, Jianshu Li, Congyan Lang, Shuicheng Yan, Jian Zhao, Yidong Li, Terence Sim
Publikováno v:
ACM Transactions on Multimedia Computing, Communications, and Applications. 17:1-21
Human parsing is an important task in human-centric image understanding in computer vision and multimedia systems. However, most existing works on human parsing mainly tackle the single-person scenario, which deviates from real-world applications whe
Publikováno v:
Proceedings of the 23rd Annual International Workshop on Mobile Computing Systems and Applications.
Publikováno v:
IEEE Transactions on Circuits and Systems for Video Technology. 29:104-114
In this paper, we aim to build a comprehensive face detection system which provides a one-stop solution to various practical challenges for face detection in realistic scenarios, e.g., detecting faces from multiple-views, faces with occlusions, exagg
Autor:
Terence Sim, Theivendiram Pranavan
Publikováno v:
ICPR
We propose a novel supervised machine learning strategy, inspired by human learning, that enables an Agent to learn continually over its lifetime. A natural consequence is that the Agent must be able to handle an input whose label is delayed until a
Autor:
Terence Sim, Sanka Rasnayaka
Publikováno v:
IJCB
Modern personal devices measure and store vast amounts of sensory data such as Inertial Measurement Unit (IMU) data. These on-body sensor data can be used as a biometric by observing human movement (gait). People are less cautious about privacy vulne
Autor:
Sanjay Saha, Terence Sim
Publikováno v:
IJCB
Face recognition is a popular form of biometric authentication and due to its widespread use, attacks have become more common as well. Recent studies show that Face Recognition Systems are vulnerable to attacks and can lead to erroneous identificatio