projects

2024

1. Capstone

   Improving Open-Vocabulary Object Detection via Knowledge Distillation

   Hyukjin Kim and Junghyun Park

   2024

   🏆 3rd place, Most Popular Award @ EE-Festival

   Abs PDF

   • Baseline: BARON (Aligning Bag of Regions for open-vocabulary object detection)
   • Raised and addressed limitations of the baseline
   • Applied knowledge distillation to surpass baseline performance
   • 3rd place, Most Popular Award @ EE-Festival

2. Project

   Self-Supervised Image Classification with SwAV

   Hyukjin Kim

   2024

   Abs PDF

   • Online clustering with the Sinkhorn–Knopp algorithm
   • Multi-view consistency on a ResNet-18 backbone
   • Transferred a pretext-trained network to CIFAR-100 classification

3. Coursework

   Deep Learning Lab — 12 Implementation Projects

   Hyukjin Kim

   2024

   Abs

   • VGG-16 and ResNet — CIFAR-10 classification
   • Spatial Transformer Network — distorted MNIST
   • FSRCNN — super-resolution
   • FCN — semantic segmentation
   • RetinaNet with Focal Loss — object detection
   • Grad-CAM — AlexNet and VGGNet visualization
   • Neural style transfer
   • DCGAN — image generation
   • CycleGAN — unpaired image translation
   • Seq2Seq with attention — machine translation
   • Network quantization — QIL with a Straight-Through Estimator
   • Self-supervised learning (SwAV) — CIFAR-100

2023

1. Coursework

   Foundations of AI — ML Algorithms from Scratch

   Hyukjin Kim

   2023

   Abs

   • Lasso and Ridge regression
   • Decision Tree and AdaBoost classifiers
   • Modular neural networks (forward / backward passes)
   • Implemented without ML libraries