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HANKSOONG/README.md

👋 Hi, I’m Hank Song

I'm a Master's student in AI, with a focus on data science, deep learning, computer vision, and language models.

I enjoy building pipelines that actually work — whether that's benchmarking DINOv2 on CIFAR, restoring blurry images, or fusing human traits across video, text, and audio.

Selected Projects

  • Charisma Predictor: Predicts personality & charisma scores via multi-modal fusion (video, audio, text). Achieved 92.5% accuracy using custom ensemble logic.
  • MiniVision: Benchmarks ResNet, EfficientNet, DINOv2 on CIFAR-10&100. ViT reached 98.7% & 91.5% accuracy.
  • Image Restoration: DnCNN vs. NAFNet on GOPRO/RealBlur with metric + perceptual analysis
  • Image Stitching: Harris + SIFT + RANSAC full classical CV pipeline

Interests

  • Deep Learning & Model Fusion
  • Vision Transformers & Visual Reasoning
  • Human-Centered AI (Multimodal signals)
  • Tools that Make Models Usable

Contact

Pinned Loading

  1. Charisma-Predictor Charisma-Predictor Public

    Multimodal AI pipeline to predict Big Five personality traits and assess charismatic leadership using audio, text, and video inputs.

    Jupyter Notebook 3

  2. MiniVision-Lightweight-and-Transformer-Models-for-CIFAR MiniVision-Lightweight-and-Transformer-Models-for-CIFAR Public

    Benchmarking CNNs and Vision Transformers on CIFAR-10/100 using a unified PyTorch pipeline with transfer learning and model fusion.

    Jupyter Notebook 1

  3. Image-Restoration Image-Restoration Public

    Deep learning-based image restoration pipeline with DnCNN, NAFNet, and legacy joint models. Includes PSNR/SSIM/LPIPS evaluation and visual comparisons.

    Jupyter Notebook 3

  4. Image-Stitching Image-Stitching Public

    Image stitching with Harris corner detection, SIFT descriptors, Lowe’s ratio test, and affine RANSAC warp.

    Jupyter Notebook 1