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Jaehyun Choi

9 papers at tracked venues · 4 at CORE A* · active 20242025

Venues

Frequent coauthors

Papers

  1. AH-OCDA: Amplitude-Based Curriculum Learning and Hopfield Segmentation Model for Open Compound Domain Adaptation
    WACV 2025 · Jaehyun Choi
  2. Frequency-Aware Token Reduction for Efficient Vision Transformer
  3. PSGM-TR: A Transformer-Based Approach for Pulmonary Segment Segmentation Using Gaussian Mixture Models
  4. Acceleration of Posteriorgram-based DTW by Distilling the Class-to-class Distances Encoded in the Classifier Used to Calculate Posteriors
  5. Learning Neural Deformation Representation for 4D Dynamic Shape Generation
  6. Modeling Stereo-Confidence out of the End-to-End Stereo-Matching Network via Disparity Plane Sweep
  7. PSGMM: Pulmonary Segment Segmentation Based on Gaussian Mixture Model
  8. Self-supervised Transformation Learning for Equivariant Representations
  9. Unlocking the Capabilities of Masked Generative Models for Image Synthesis via Self-Guidance