Bongjun Kim

Signal Processing · 2019

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Signal Processing — 10 citations into it; #6,594 of 7,572 by trust here, #7,112 by citations
• Computer Vision and Pattern Recognition — 8 citations into it; #19,355 of 21,575 by trust here, #20,756 by citations

Whom Bongjun Kim trusts overall

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

1. Justin Salamon
2. Annamaria Mesaros
3. Brian McFee
4. Emre Çakir
5. Toni Heittola
6. Juan Pablo Bello
7. Shawn Hershey
8. Tuomas Virtanen
9. Giambattista Parascandolo
10. Duncan MacConnell

Who trusts Bongjun Kim overall

1. Eduardo Fonseca
2. Xavier Favory

Papers from Bongjun Kim's perspective

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

1. A Dataset and Taxonomy for Urban Sound Research
2. Convolutional Recurrent Neural Networks for Polyphonic Sound Event Detection
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. CNN architectures for large-scale audio classification
5. Metrics for Polyphonic Sound Event Detection
6. ImageNet classification with deep convolutional neural networks
7. Scaper: A library for soundscape synthesis and augmentation
8. Adaptive Pooling Operators for Weakly Labeled Sound Event Detection
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. SONYC

Their papers

• Sound Event Detection Using Point-Labeled Data (2019) — 14 citations