3 papers
cs.CV2026
Dynamic Time Step Prediction in Inverse Heat Dissipation for Blur-Like Image Restoration Tasks
Cap Dang Xuan Kiet, Tat-Jen Cham
When using diffusion models to target image restoration problems, diffusion inversion is typically employed to retain relevant image information from the degraded images. Instead o…
cs.CV2026
Learning from Failure: Leveraging Unreliable Predictions in Semi-Supervised Real-World Adverse Weather Removal
Cap Dang Xuan Kiet, Tat-Jen Cham
Adverse weather image restoration aims to recover images degraded by rain, haze, snow, and other weather-induced artifacts, thereby improving the robustness of outdoor vision syste…
cs.LG2026
SIEVE: Selective attention-value Suppression for Vision-Language Models Unlearning
Si Qi Goh, Cap Dang Xuan Kiet, Tat-Jen Cham +1
The ability of vision-language models (VLMs) to associate visual identities with biographical information creates a need for selective unlearning of personally identifiable informa…