Ali C. Begen

Computer Vision and Pattern Recognition · 2011–2019

A researcher in the Science corpus: 4 papers; trusts 5 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 28 citations into it; #14,206 of 21,575 by trust here, #10,677 by citations
• Computer Networks and Communications — 19 citations into it; #5,991 of 9,886 by trust here, #3,155 by citations
• Electrical and Electronic Engineering — 6 citations into it
• Sociology and Political Science — 5 citations into it

Whom Ali C. Begen trusts overall

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

1. Thomas Stockhammer
2. Yuxi Li
3. Alex Smola

Who trusts Ali C. Begen overall

1. Hongzi Mao
2. Te-Yuan Huang
3. Ashwin Rao

Papers from Ali C. Begen's perspective

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

1. Understanding the impact of video quality on user engagement (Conference on Applications, Technologies, Architectures, and Protocols for Computer Communication)
2. Improving fairness, efficiency, and stability in HTTP-based adaptive video streaming with FESTIVE (Conference on Emerging Network Experiment and Technology)
3. A Control-Theoretic Approach for Dynamic Adaptive Video Streaming over HTTP (Computer communication review)
4. Towards agile and smooth video adaptation in dynamic HTTP streaming (Conference on Emerging Network Experiment and Technology)
5. Developing a predictive model of quality of experience for internet video (Conference on Applications, Technologies, Architectures, and Protocols for Computer Communication)
6. CS2P: Improving Video Bitrate Selection and Adaptation with Data-Driven Throughput Prediction (Conference on Applications, Technologies, Architectures, and Protocols for Computer Communication)
7. Confused, timid, and unstable: picking a video streaming rate is hard (ACM/SIGCOMM Internet Measurement Conference)
8. A buffer-based approach to rate adaptation (Conference on Applications, Technologies, Architectures, and Protocols for Computer Communication)
9. Probe and Adapt: Rate Adaptation for HTTP Video Streaming At Scale (IEEE Journal on Selected Areas in Communications)
10. ImageNet classification with deep convolutional neural networks

Their papers

• A Survey on Bitrate Adaptation Schemes for Streaming Media Over HTTP (2019) — 436 citations
• Probe and Adapt: Rate Adaptation for HTTP Video Streaming At Scale (2013) — 594 citations
• What happens when HTTP adaptive streaming players compete for bandwidth? (2012) — 352 citations
• An experimental evaluation of rate-adaptation algorithms in adaptive streaming over HTTP (2011) — 680 citations