390 results on '"Jong Chul Ye"'
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2. Patch-Wise Graph Contrastive Learning for Image Translation.
3. Annealed Score-Based Diffusion Model for MR Motion Artifact Reduction.
4. Improving Medical Speech-to-Text Accuracy using Vision-Language Pre-training Models.
5. ED-NeRF: Efficient Text-Guided Editing of 3D Scene With Latent Space NeRF.
6. LLM-CXR: Instruction-Finetuned LLM for CXR Image Understanding and Generation.
7. Ground-A-Video: Zero-shot Grounded Video Editing using Text-to-image Diffusion Models.
8. Decomposed Diffusion Sampler for Accelerating Large-Scale Inverse Problems.
9. Unpaired Image-to-Image Translation via Neural Schrödinger Bridge.
10. Don't Play Favorites: Minority Guidance for Diffusion Models.
11. Amortized Posterior Sampling with Diffusion Prior Distillation.
12. Self-Guided Generation of Minority Samples Using Diffusion Models.
13. Deep Diffusion Image Prior for Efficient OOD Adaptation in 3D Inverse Problems.
14. (Deep) Generative Geodesics.
15. MindFormer: A Transformer Architecture for Multi-Subject Brain Decoding via fMRI.
16. Concept Weaver: Enabling Multi-Concept Fusion in Text-to-Image Models.
17. Generalized Consistency Trajectory Models for Image Manipulation.
18. Ground-A-Score: Scaling Up the Score Distillation for Multi-Attribute Editing.
19. Unified Editing of Panorama, 3D Scenes, and Videos Through Disentangled Self-Attention Injection.
20. Latent Inversion with Timestep-aware Sampling for Training-free Non-rigid Editing.
21. Defining Neural Network Architecture through Polytope Structures of Dataset.
22. LDMol: Text-Conditioned Molecule Diffusion Model Leveraging Chemically Informative Latent Space.
23. CFG++: Manifold-constrained Classifier Free Guidance for Diffusion Models.
24. DreamMotion: Space-Time Self-Similarity Score Distillation for Zero-Shot Video Editing.
25. Spectral Motion Alignment for Video Motion Transfer using Diffusion Models.
26. DreamSampler: Unifying Diffusion Sampling and Score Distillation for Image Manipulation.
27. OTSeg: Multi-prompt Sinkhorn Attention for Zero-Shot Semantic Segmentation.
28. UNICORN: Ultrasound Nakagami Imaging via Score Matching and Adaptation.
29. Zero-Shot Contrastive Loss for Text-Guided Diffusion Image Style Transfer.
30. Improving 3D Imaging with Pre-Trained Perpendicular 2D Diffusion Models.
31. Training Debiased Subnetworks with Contrastive Weight Pruning.
32. Solving 3D Inverse Problems Using Pre-Trained 2D Diffusion Models.
33. Parallel Diffusion Models of Operator and Image for Blind Inverse Problems.
34. Ultrasound Image Quality Control Using Speech-Assisted Switchable CycleGAN.
35. Score-Based Diffusion Models for Bayesian Image Reconstruction.
36. Minimizing Trajectory Curvature of ODE-based Generative Models.
37. Denoising MCMC for Accelerating Diffusion-Based Generative Models.
38. Multi-Task Distributed Learning Using Vision Transformer With Random Patch Permutation.
39. MR Image Denoising and Super-Resolution Using Regularized Reverse Diffusion.
40. Multi-Scale Hybrid Vision Transformer for Learning Gastric Histology: AI-Based Decision Support System for Gastric Cancer Treatment.
41. Generative Models for Inverse Imaging Problems: From mathematical foundations to physics-driven applications.
42. The Foundations of Computational Imaging: A signal processing perspective.
43. One-Shot Adaptation of GAN in Just One CLIP.
44. Task-Agnostic Vision Transformer for Distributed Learning of Image Processing.
45. Deep learning based on parameterized physical forward model for adaptive holographic imaging with unpaired data.
46. Unpaired deep learning for pharmacokinetic parameter estimation from dynamic contrast-enhanced MRI without AIF measurements.
47. Self-supervised multi-modal training from uncurated images and reports enables monitoring AI in radiology.
48. C-DARL: Contrastive diffusion adversarial representation learning for label-free blood vessel segmentation.
49. Magnitude and angle dynamics in training single ReLU neurons.
50. Diffusion Adversarial Representation Learning for Self-supervised Vessel Segmentation.
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