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Dennis Chen

dblp:41/388 · DBLP profile ↗
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3ranked-venue papers
0as first author
0since 2021 · last 2016
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Systems, architecture and hardware · 1Human-computer interaction and ubiquitous computing · 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.

Network and information security
1 paper
Privacy and data protection · 100%
Human-computer interaction and pervasive computing
1 paper
Wearable and physiological sensing · 100%
Computer architecture, parallel and distributed computing, and storage systems
1 paper
Electronic design automation · 44% Reconfigurable computing and FPGAs · 44% Processor architecture and microarchitecture · 13%

Topics — the 3 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Wearable and physiological sensing
wearable camera
0.112016
Enhancing Lifelogging Privacy by Detecting Screens · CHI 2016
Electronic design automation › hardware verification and test
hardware verification
0.011995
UltraSPARC-I Emulation · DAC 1995
Reconfigurable computing and FPGAs
processor emulation
0.011995
UltraSPARC-I Emulation · DAC 1995

Methods — techniques the papers use, named apart from their topics

computer vision · 0.5emulation · 0.0
YearPublicationVenuePosition
2016 Enhancing Lifelogging Privacy by Detecting Screens
abstract
Low-cost, lightweight wearable cameras let us record (or 'lifelog') our lives from a 'first-person' perspective for purposes ranging from fun to therapy. But they also capture private information that people may not want to be recorded, especially if images are stored in the cloud or visible to other people. For example, recent studies suggest that computer screens may be lifeloggers' single greatest privacy concern, because many people spend a considerable amount of time in front of devices that display private information. In this paper, we investigate using computer vision to automatically detect computer screens in photo lifelogs. We evaluate our approach on an existing in-situ dataset of 36 people who wore cameras for a week, and show that our technique could help manage privacy in the upcoming era of wearable cameras.
Mohammed Korayem, Robert Templeman, Dennis Chen, David Crandall, Apu Kapadia
CHI3
2007 DiffServ QoS and OLSR MANET Outdoor Demonstration
abstract
The CECOM MOSAIC ATD encompasses an integrated set of diverse technologies to demonstrate rapidly deployable, secure, robust, assured-QoS communications among mobile ad hoc nodes. The assured IP QoS technology solution integrates DiffServ based QoS resource management with centralized admission control over a dynamic tactical network environment. We describe an outdoor demonstration of our QoS technology prototype over an on-the-move MANET running OLSR. This demonstration does not include IP mobility support, however provides an alternate route between the ad hoc nodes through the use of two distinct wireless networks. The demonstration exhibits route changes between single and multiple IP hops as the nodes drive, and shows handoff between wireless networks as they move out of range of one radio network to the other. We summarize our observations and empirical performance results for real-time traffic
Isil Sebüktekin, Brandon Yoon, Byungsuk Kim, Ashok Ranade, Taek Jin Kwon, Marcus Pang, William Stephens, Michael Bereschinsky, Charles Graff, Larry Muzzelo, Michael Acriche, Aristides Staikos, Ben Foresta, Dennis Chen
ISADS14
1995 UltraSPARC-I Emulation
abstract
The next generation UltraSPARC-I CPU represents a significant step forward in processor performance at the cost of increased design complexity.Added complexity increases the risks in achieving functionally correct first silicon.Existing design verification techniques were supplemented by applying emulation to obtain an early look at functionality.Discussed are the goals, methods and results of the UltraSPARC-I emulation.
James Gateley, Miriam Blatt, Dennis Chen, Scott Cooke, Piyush Desai, Manjunath Doreswamy, Mark Elgood, Gary Feierbach, Tim Goldsbury, Dale Greenley, Raju Joshi, Mike Khosraviani, Robert Kwong, Manish Motwani, Chitresh Narasimhaiah, Sam J. Nicolino Jr., Tooru Ozeki, Gary Peterson, Chris Salzmann, Nasser Shayesteh, Jeffrey Whitman, Pak Wong
DAC3