Export Citations
Save this search
Please login to be able to save your searches and receive alerts for new content matching your search criteria.
- research-articleJanuary 2025
Learning subject-aware cropping by outpainting professional photos
AAAI'24/IAAI'24/EAAI'24: Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence and Thirty-Sixth Conference on Innovative Applications of Artificial Intelligence and Fourteenth Symposium on Educational Advances in Artificial IntelligenceArticle No.: 242, Pages 2175–2183https://doi.org/10.1609/aaai.v38i3.27990How to frame (or crop) a photo often depends on the image subject and its context; e.g., a human portrait. Recent works have defined the subject-aware image cropping task as a nuanced and practical version of image cropping. We propose a weakly-...
- ArticleOctober 2022
Spotting Temporally Precise, Fine-Grained Events in Video
AbstractWe introduce the task of spotting temporally precise, fine-grained events in video (detecting the precise moment in time events occur). Precise spotting requires models to reason globally about the full-time scale of actions and locally to ...
- research-articleAugust 2021
Analysis of Faces in a Decade of US Cable TV News
- James Hong,
- Will Crichton,
- Haotian Zhang,
- Daniel Y. Fu,
- Jacob Ritchie,
- Jeremy Barenholtz,
- Ben Hannel,
- Xinwei Yao,
- Michaela Murray,
- Geraldine Moriba,
- Maneesh Agrawala,
- Kayvon Fatahalian
KDD '21: Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data MiningPages 3011–3021https://doi.org/10.1145/3447548.3467134Cable (TV) news reaches millions of US households each day. News stakeholders such as communications researchers, journalists, and media monitoring organizations are interested in the visual content of cable news, especially who is on-screen. Manual ...
- ArticleFebruary 2020
Learning in situ: a randomized experiment in video streaming
- Francis Y. Yan,
- Hudson Ayers,
- Chenzhi Zhu,
- Sadjad Fouladi,
- James Hong,
- Keyi Zhang,
- Philip Levis,
- Keith Winstein
NSDI'20: Proceedings of the 17th Usenix Conference on Networked Systems Design and ImplementationPages 495–512We describe the results of a randomized controlled trial of video-streaming algorithms for bitrate selection and network prediction. Over the last year, we have streamed 38.6 years of video to 63,508 users across the Internet. Sessions are randomized in ...
- research-articleOctober 2019
The Teacher Responding Tool: Scaffolding the teacher practice of responding to student ideas in mathematics classrooms
Computers & Education (CEDN), Volume 139, Issue CPages 16–30https://doi.org/10.1016/j.compedu.2019.05.004AbstractResearch in teacher education highlights the importance of responding to student ideas. However, effectively noticing, interpreting, and then responding to students' mathematical ideas can be quite challenging for teachers as they try ...
Highlights- Encouraged thoughtful teacher interactions with student responses.
- Aided ...
- demonstrationJune 2016
Demo: Building Comprehensible Access Control for the Internet of Things using Beetle
MobiSys '16 Companion: Proceedings of the 14th Annual International Conference on Mobile Systems, Applications, and Services CompanionPage 102https://doi.org/10.1145/2938559.2938578Bluetooth Low Energy (BLE) powers a wide range of devices and peripherals including personal fitness trackers, smart clothing, locks, ovens, light bulbs, toys, etc. Today, these peripherals interact with a limited set of applications running on ...
- research-articleJune 2016
Beetle: Flexible Communication for Bluetooth Low Energy
MobiSys '16: Proceedings of the 14th Annual International Conference on Mobile Systems, Applications, and ServicesPages 111–122https://doi.org/10.1145/2906388.2906414The next generation of computing peripherals will be low-power ubiquitous computing devices such as door locks, smart watches, and heart rate monitors. Bluetooth Low Energy is a primary protocol for connecting such peripherals to mobile and gateway ...
- research-articleNovember 2015
Ravel: Programming IoT Applications as Distributed Models, Views, and Controllers
IoT-App '15: Proceedings of the 2015 International Workshop on Internet of Things towards ApplicationsPages 1–6https://doi.org/10.1145/2820975.2820977The embedded sensor networks are a promising technology to improve our life with home and industrial automation, health monitoring, and sensing and actuation in agriculture. Fitness trackers, thermostats, door locks are just a few examples of Internet ...
- demonstrationNovember 2015
Demo: Tethys -- An Energy Harvesting Networked Water Flow Sensor
SenSys '15: Proceedings of the 13th ACM Conference on Embedded Networked Sensor SystemsPages 489–490https://doi.org/10.1145/2809695.2817868We describe Tethys, an energy-harvesting wireless water flow sensor that can monitor water use at a per-fixture level with the intention of associating water use with specific individuals. Tethys was motivated by recent efforts at Stanford University to ...
