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20222026
most citedPart-based Pseudo Label Refinement for Unsupervised Person Re-identification

14 citations · 21 across the 16 of their papers we have counts for

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5 papers · 1 filter

cs.CV2026

APT: Anchor-aligned Perturbations for Tamper Localization in Fully Regenerated Images

Suhyeon Ha, Woo Jae Kim, Joonsung Jeon +2

Proactive tamper localization embeds an imperceptible signal into an image prior to distribution, enabling pixel-level manipulation detection. Existing methods assume a spliced (SP…

cs.CV2026

EvBS: Event-guided Blur Synthesis for Domain-adaptive Motion Deblurring

Junsik Jung, Seokryun Choi, Yoonki Cho +3

Motion deblurring has achieved remarkable progress with deep learning, yet pre-trained deblurring models often suffer from performance degradation in real-world scenarios due to th…

cs.CV2026

RoME: Robust Mixture of Low-Rank Experts against Multiple Adversarial Perturbations

Woo Jae Kim, Kyle Min, Suhyeon Ha +2

Multi-perturbation adversarial training (MAT) aims to achieve robustness against multiple perturbations but suffers from robustness trade-offs between different threats. T…

cs.CV2026

Radiometrically Consistent Gaussian Surfels for Inverse Rendering

Kyu Beom Han, Jaeyoon Kim, Woo Jae Kim +2

Inverse rendering with Gaussian Splatting has advanced rapidly, but accurately disentangling material properties from complex global illumination effects, particularly indirect ill…

cs.CV2026

No Caption, No Problem: Caption-Free Membership Inference via Model-Fitted Embeddings

Joonsung Jeon, Woo Jae Kim, Suhyeon Ha +2

Latent diffusion models have achieved remarkable success in high-fidelity text-to-image generation, but their tendency to memorize training data raises critical privacy and intelle…