Jae-sun Seo
Computer Vision and Pattern Recognition · 2011–2020
A researcher in the Science corpus: 5 papers; trusts 7 researchers and is trusted by 5 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 32 citations into it; #12,846 of 21,575 by trust here, #9,187 by citations
- Model Architectures — 10 citations into it
Whom Jae-sun Seo trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Jae-sun Seo overall
Papers from Jae-sun Seo's perspective
Ordered by how strongly the researchers Jae-sun Seo trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- ImageNet Large Scale Visual Recognition Challenge
- Long Short-Term Memory
- Going deeper with convolutions
- Deep Compression: Compressing Deep Neural Network with Pruning, Trained Quantization and Huffman Coding
- Neural networks and physical systems with emergent collective computational abilities.
- Learning Multiple Layers of Features from Tiny Images
Their papers
- Benchmarking TinyML Systems: Challenges and Direction (2020) — 327 citations
- Optimizing Loop Operation and Dataflow in FPGA Acceleration of Deep Convolutional Neural Networks (2017) — 381 citations
- A 45nm CMOS neuromorphic chip with a scalable architecture for learning in networks of spiking neurons (2011) — 313 citations
- Throughput-Optimized OpenCL-based FPGA Accelerator for Large-Scale Convolutional Neural Networks (2016) — 535 citations
- XNOR-SRAM: In-Memory Computing SRAM Macro for Binary/Ternary Deep Neural Networks (2018) — 454 citations