Edward Cutrell

Computer Vision and Pattern Recognition · 2001–2021

A researcher in the Science corpus: 11 papers; trusts 53 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 77 citations into it; #15,649 of 21,575 by trust here, #10,905 by citations
• Artificial Intelligence — 52 citations into it
• Human-Computer Interaction — 29 citations into it; #1,217 of 2,253 by trust here, #347 by citations
• Cognitive Neuroscience — 17 citations into it
• Information Systems — 16 citations into it; #3,043 of 8,771 by trust here, #3,540 by citations

Whom Edward Cutrell trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Uichin Lee
2. Thorsten Joachims
3. Andrei Z. Broder
4. Laura A. Granka
5. Kaiming He
6. Bernard Jim Jansen
7. Daniel E. Rose
8. Bing Pan
9. Geoffrey E. Hinton
10. Ka-Ping Yee

Who trusts Edward Cutrell overall

1. Julia Schwarz
2. Katja Hofmann
3. Meredith Ringel Morris
4. Eric Horvitz
5. J. Gregory Trafton
6. Kristina Lerman
7. Jaime Teevan
8. Fabrizio Silvestri
9. James A. Fogarty
10. Lihong Li

Papers from Edward Cutrell's perspective

Ordered by how strongly the researchers Edward Cutrell trusts endorse each paper. Same corpus, a different order for every researcher.

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet: A large-scale hierarchical image database
3. ImageNet classification with deep convolutional neural networks
4. ImageNet Large Scale Visual Recognition Challenge
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Attention is All you Need (Neural Information Processing Systems)
7. Long Short-Term Memory
8. Gradient-based learning applied to document recognition
9. Microsoft COCO: Common Objects in Context
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Understanding Blind People's Experiences with Computer-Generated Captions of Social Media Images (2017) — 222 citations
• What do you see when you're surfing?: using eye tracking to predict salient regions of web pages (2009) — 304 citations
• Disability-first Dataset Creation: Lessons from Constructing a Dataset for Teachable Object Recognition with Blind and Low Vision Data Collectors (2021) — 50 citations
• ORBIT: A Real-World Few-Shot Dataset for Teachable Object Recognition (2021) — 55 citations
• "Yours is better!": participant response bias in HCI (2012) — 308 citations
• Designing mobile interfaces for novice and low-literacy users (2011) — 302 citations
• Intermediated technology use in developing communities (2010) — 247 citations
• What are you looking for?: an eye-tracking study of information usage in web search (2007) — 538 citations
• Drag-and-Pop and Drag-and-Pick: Techniques for Accessing Remote Screen Content on Touch- and Pen-Operated Systems (2003) — 359 citations
• Stuff I've seen: a system for personal information retrieval and re-use (2003) — 577 citations
• Notification, Disruption, and Memory: Effects of Messaging Interruptions on Memory and Performance (2001) — 455 citations