10 papers
SapiensID 2.0: Aligning Human Recognition Foundation Models with Human Perception
Yiyang Su, Jie Zhu, Feng Liu +2
While foundation models have significantly advanced human recognition across diverse modalities, they predominantly rely on static, geometric feature extraction. This approach fund…
Subtoken Vision Transformer for Fine-grained Recognition
Jie Zhu, Ivy Zhang, Minchul Kim +1
We present Subtoken Vision Transformer (SubViT), a selective image tokenization method for fine-grained visual recognition. Standard Vision Transformers compress each fixed-size pa…
Can Textual Reasoning Improve the Performance of MLLMs on Fine-grained Visual Classification?
Jie Zhu, Yiyang Su, Xiaoming Liu
Multi-modal large language models (MLLMs) exhibit strong general-purpose capabilities, yet still struggle on Fine-Grained Visual Classification (FGVC), a core perception task that…
FusionAgent: A Multimodal Agent with Dynamic Model Selection for Human Recognition
Jie Zhu, Xiao Guo, Yiyang Su +2
Model fusion is a key strategy for robust recognition in unconstrained scenarios, as different models provide complementary strengths. This is especially important for whole-body h…
Interpretable Perception and Reasoning for Audiovisual Geolocation
Yiyang Su, Xiaoming Liu
While recent advances in Multimodal Large Language Models (MLLMs) have improved image-based localization, precise global geolocation remains a formidable challenge due to the inher…
LocalScore: Local Density-Aware Similarity Scoring for Biometrics
Yiyang Su, Minchul Kim, Jie Zhu +4
Open-set biometrics faces challenges with probe subjects who may not be enrolled in the gallery, as traditional biometric systems struggle to detect these non-mated probes. Despite…