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Si Yong Yeo

7 accepted papers

2026

Exploiting Low-Dimensional Manifold of Features for Few-shot Whole Slide Image Classification

ICLR 2026poster

Few-shot Whole Slide Image (WSI) classification is severely hampered by overfitting. We argue that this is not merely a data-scarcity issue but a fundamentally geometric problem. Grounded in the manifold hypothesis, our analysis shows that features from pathology foundation models exhibit a low-dime…

Cited by 0SourcecodeScholar
2026

Uni-Encoder Meets Multi-Encoders: Representation Before Fusion for Brain Tumor Segmentation with Missing Modalities

CVPR 2026

Multimodal MRI offers complementary information for brain tumor segmentation, but clinical scans often lack one or more modalities, which degrades segmentation performance. In this paper, we propose UniME (Uni-Encoder Meets Multi-Encoders), a two-stage heterogeneous method for brain tumor segmentati

Cited by 0SourcecodeScholar
2025

MedUnifier: Unifying Vision-and-Language Pre-training on Medical Data with Vision Generation Task using Discrete Visual Representations

CVPR 2025poster

Despite significant progress in Vision-Language Pre-training (VLP), current approaches predominantly emphasize feature extraction and cross-modal comprehension, with limited attention to generating or transforming visual content. This gap hinders the model's ability to synthesize coherent and novel…

2025

PVChat: Personalized Video Chat with One-Shot Learning

ICCV 2025poster

Video large language models (ViLLMs) excel in general video understanding, e.g., recognizing activities like talking and eating, but struggle with identity-aware comprehension, such as "Wilson is receiving chemotherapy" or "Tom is discussing with Sarah", limiting their applicability in smart healthc…

Cited by 0SourcePDFScholar
2023

Chaotic World: A Large and Challenging Benchmark for Human Behavior Understanding in Chaotic Events

ICCV 2023poster

Understanding and analyzing human behaviors (actions and interactions of people), voices, and sounds in chaotic events is crucial in many applications, e.g., crowd management, emergency response services. Different from human behaviors in daily life, human behaviors in chaotic events are generally d…

Cited by 4PDFcodeScholar
2022

Animal Kingdom: A Large and Diverse Dataset for Animal Behavior Understanding

CVPR 2022oral

Understanding animals' behaviors is significant for a wide range of applications. However, existing animal behavior datasets have limitations in multiple aspects, including limited numbers of animal classes, data samples and provided tasks, and also limited variations in environmental conditions and…

Cited by 101PDFcodeScholar