Demo Data from SIGIR 2026 / reviewers in the wild / expert
Ik-Dong Kim
dblp:70/4620
· DBLP profile ↗
3ranked-venue papers
1as first author
0since 2021 · last 2006
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Graphics, computer vision, multimedia, augmented reality and games · 2 · 1 first-authorComputer networks · 1Theory of computation · 1
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Computer networks
1 paper |
Wireless sensing and localization · 56% Internet of things and sensor networks · 44% |
Topics — the 2 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Wireless sensing and localization › human sensing
human detection |
0.1 | 1 | 2006 | Low power, low cost, wireless camera sensor nodes For human detection · SenSys 2006 |
Internet of things and sensor networks › camera sensor networks
wireless camera sensor networks |
0.1 | 1 | 2006 | Low power, low cost, wireless camera sensor nodes For human detection · SenSys 2006 |
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2006 | 3D Facial Image Recognition Using a Nose Volume and Curvature Based Eigenface
Yeunghak Lee, Ik-Dong Kim, Jae-Chang Shim |
GMP | 2 |
| 2006 | Low power, low cost, wireless camera sensor nodes For human detectionabstractOur demonstration consists of sensor nodes suitable for imageintensive network applications. We developed nodes for stationary and mobile deployment, for face recognition and human detection applications, respectively. Both designs consist of a visible spectrum camera sensor and a Zigbee-compliant wireless data transceiver. The stationary model receives input from a PIR motion sensor, while the mobile model incorporates distance measures from either an infrared or ultrasonic sensor and includes a robot for demonstration of mobility. Our node uses strictly commercial off the-shelf components, and not including the robotic accoutrement, is relatively inexpensive. The stationary node will be on display for face recognition of attendees. Additionally, we intend to demonstrate the mobile node for a human detection application, wherein the node detects objects, and transmits them to a host machine for face detection processing. Jason Schlessman, Jae-Chang Shim, Ik-Dong Kim, Yun Cheol Baek, Marilyn Wolf |
SenSys | 3 |
| 2005 | An Automated Facial Pose Estimation Using Surface Curvature and Tetrahedral Structure of a Nose
Ik-Dong Kim, Yeunghak Lee, Jae-Chang Shim |
ACIVS | 1 |