Jae-Ho Lee — accepted AI-conference papers

2024

Versatile Incremental Learning: Towards Class and Domain-Agnostic Incremental Learning

Min-Yeong Park, Jae-Ho Lee, Gyeong-Moon Park*

ECCV 2024poster

"Incremental Learning (IL) aims to accumulate knowledge from sequential input tasks while overcoming catastrophic forgetting. Existing IL methods typically assume that an incoming task has only increments of classes or domains, referred to as Class IL (CIL) or Domain IL (DIL), respectively. In this…

Cited by 1 Source ↗PDF ↗code ↗Scholar ↗

2023

Modernizing Old Photos Using Multiple References via Photorealistic Style Transfer

Agus Gunawan, Soo Ye Kim, Hyeonjun Sim, Jae-Ho Lee, Munchurl Kim

CVPR 2023poster

This paper firstly presents old photo modernization using multiple references by performing stylization and enhancement in a unified manner. In order to modernize old photos, we propose a novel multi-reference-based old photo modernization (MROPM) framework consisting of a network MROPM-Net and a no…

Cited by 15 Source ↗PDF ↗Scholar ↗