2 citations · 2 across the 6 of their papers we have counts for
4 papers · 1 filter
Benchmarking Attribute Discrimination in Infant-Scale Vision-Language Models
Patrick Batsell, Satoshi Tsutsui, Bihan Wen
Infants learn not only object categories but also fine-grained visual attributes such as color, size, and texture from limited experience. Prior infant-scale vision--language model…
Digital Staining with Knowledge Distillation: A Unified Framework for Unpaired and Paired-But-Misaligned Data
Ziwang Xu, Lanqing Guo, Satoshi Tsutsui +3
Staining is essential in cell imaging and medical diagnostics but poses significant challenges, including high cost, time consumption, labor intensity, and irreversible tissue alte…
Towards Robust and Reliable Concept Representations: Reliability-Enhanced Concept Embedding Model
Yuxuan Cai, Xiyu Wang, Satoshi Tsutsui +2
Concept Bottleneck Models (CBMs) aim to enhance interpretability by predicting human-understandable concepts as intermediates for decision-making. However, these models often face…
Discovering Hidden Visual Concepts Beyond Linguistic Input in Infant Learning
Xueyi Ke, Satoshi Tsutsui, Yayun Zhang +1
Infants develop complex visual understanding rapidly, even preceding the acquisition of linguistic skills. As computer vision seeks to replicate the human vision system, understand…