SUMIN PARK
SUMIN PARK

Interested in Geometric Deep Neural Networks and Their Phyiscal Applications

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  • ALL (180)
  • PAPERS
    Convolutional Neural Networks (6) Transformer (3) Optimization (2) Representation (1) Object Detection (5) Generative Models (1) Graph Neural Networks (10)
  • DL
    Deep Learning Specialization (6) cs231n (Stanford) (7) Signals & Systems (9)
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  • PYTHON
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[GNN] Graph Convolutional Networks (GCNs) - Part 1 : Spectral Convolution on Graph

Outlines Reference 0. Spectral Convolution Operation on Graphs 1. Fourier Transform on Graph 2. Laplacian(Laplace...

2023, Jul 10   —  8 minute read

[Paper Review] Streaming Graph Neural Networks (DGNN, 2018)

Outlines Reference 1. Dynamic Graph Neural Networks (DGNN) 2. Frameworks of DGNN 2.1. Update Component...

2023, Jul 09   —  10 minute read

[Paper Review & Partial Implementation] YOLOv4: Optimal Speed and Accuracy of Object Detection (YOLOv4, 2020)

Outlines Reference YOLO v4 : Designing the Optimal Model BackBone : CSPDarkNet 53 Neck :...

2023, Jul 07   —  25 minute read

[Paper Review] Path Aggregation Network for Instance Segmentation (PANet, 2018)

Outlines Reference Architecture of Path Aggregation Network (PANet) Figure 1.(b) Bottom-Up Path Augmentation Figure 1.(c)...

2023, Jul 05   —  5 minute read

[Paper Review] Feature Pyramid Networks for Object Detection (FPN, 2017)

Outlines Reference Motivation : Detecting Objects at Multiple Scales Previous Works for Representing Multi-Scale Features...

2023, Jun 30   —  6 minute read

[Paper Review & Implementation] You Only Look Once: Unified, Real-Time Object Detection (YOLOv1, 2016)

Outlines Reference Implementation with PyTorch YOLO : Single-State Object Detection YOLOv1 Backbone Architecture : Feature...

2023, Jun 27   —  27 minute read

[Paper Review & Implementation] Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks (Faster R-CNN, 2015)

Outlines Reference Faster R-CNN vs Fast R-CNN vs R-CNN Step By Step Implementation of Faster...

2023, Jun 21   —  26 minute read

[Paper Review & Implementation] An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale (ViT, 2021)

Outlines Reference Implementation with PyTorch Constraint of Recurrent Models : Sequential Computation Attention of Transformer...

2023, Jun 18   —  8 minute read

[Paper Review & Implementation] Attention Is All You Need (Transformer, 2017)

Outlines Reference Implementation with PyTorch Constraint of Recurrent Models : Sequential Computation Attention of Transformer...

2023, Jun 15   —  7 minute read

[Paper Review & Implementation] MobileNet V1, V2, V3 (2017 - 2019)

Outlines References MobileNet V1 Depthwise Separable Convolution Comparison of Computational Cost Trade-Off : Accuracy vs...

2023, Jun 12   —  19 minute read
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