Evan Brossard

Computer Vision and Pattern Recognition · 2015

A researcher in the Science corpus: 1 paper; trusts 42 researchers and is trusted by 22 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 26 citations into it; #6,191 of 21,575 by trust here, #6,146 by citations
• Signal Processing — 12 citations into it; #1,817 of 7,572 by trust here, #1,033 by citations

Whom Evan Brossard trusts overall

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

1. Yi Sun

Who trusts Evan Brossard overall

1. Jiankang Deng
2. Arsha Nagrani
3. Xiang Wu
4. Joy Buolamwini
5. Weiyang Liu

Papers from Evan Brossard's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Labeled Faces in the Wild: A Database forStudying Face Recognition in Unconstrained Environments
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Robust Real-Time Face Detection
5. FaceNet: A unified embedding for face recognition and clustering
6. Gradient-based learning applied to document recognition
7. Going deeper with convolutions
8. ImageNet: A large-scale hierarchical image database
9. DeepFace: Closing the Gap to Human-Level Performance in Face Verification
10. Distinctive Image Features from Scale-Invariant Keypoints

Their papers

• The MegaFace Benchmark: 1 Million Faces for Recognition at Scale (2015) — 923 citations