Shao-Yi Chien

Computer Vision and Pattern Recognition · 2002–2019

A researcher in the Science corpus: 3 papers; trusts 1 researcher and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 15 citations into it; #11,975 of 21,575 by trust here, #18,266 by citations

Whom Shao-Yi Chien trusts overall

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

1. Lovedeep Gondara

Who trusts Shao-Yi Chien overall

1. Thierry Bouwmans
2. Willie Neiswanger
3. Belmar García García
4. Frank D. Wood

Papers from Shao-Yi Chien's perspective

Ordered by how strongly the researchers Shao-Yi Chien trusts endorse each paper. Same corpus, a different order for every researcher.

1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
2. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
3. Extracting and composing robust features with denoising autoencoders
4. Fully convolutional networks for semantic segmentation
5. Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs)
6. Binary coding of speech spectrograms using a deep auto-encoder
7. DeepFace: Closing the Gap to Human-Level Performance in Face Verification
8. Overview of the H.264/AVC video coding standard
9. Context-based adaptive binary arithmetic coding in the H.264/AVC video compression standard
10. Adaptive deblocking filter (IEEE Trans. Circuits Syst. Video Technol.)

Their papers

• Noise Reduction in ECG Signals Using Fully Convolutional Denoising Autoencoders (2019) — 308 citations
• Analysis and architecture design of an HDTV720p 30 frames/s H.264/AVC encoder (2006) — 297 citations
• Efficient moving object segmentation algorithm using background registration technique (2002) — 430 citations