Shogo Sato — accepted AI-conference papers

2024

ConCon-Chi: Concept-Context Chimera Benchmark for Personalized Vision-Language Tasks

Andrea Rosasco, Stefano Berti, Giulia Pasquale, Damiano Malafronte, Shogo Sato, Hiroyuki Segawa +2

CVPR 2024poster

While recent Vision-Language (VL) models excel at open-vocabulary tasks it is unclear how to use them with specific or uncommon concepts. Personalized Text-to-Image Retrieval (TIR) or Generation (TIG) are recently introduced tasks that represent this challenge where the VL model has to learn a conce…

Cited by 2 Source ↗PDF ↗code ↗Scholar ↗

2023

Unsupervised Intrinsic Image Decomposition With LiDAR Intensity

Shogo Sato, Yasuhiro Yao, Taiga Yoshida, Takuhiro Kaneko, Shingo Ando, Jun Shimamura

CVPR 2023poster

Intrinsic image decomposition (IID) is the task that decomposes a natural image into albedo and shade. While IID is typically solved through supervised learning methods, it is not ideal due to the difficulty in observing ground truth albedo and shade in general scenes. Conversely, unsupervised learn…

Cited by 8 Source ↗PDF ↗code ↗Scholar ↗