most citedLearning Clustering-based Prototypes for Compositional Zero-shot Learning

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cs.CV2026

Beyond Retrieval: Progressive Latent Memory Evolution for Streaming Video Understanding

Hongyu Qu, Guangming Yao, Ling Xing +7

Streaming video understanding requires multimodal large language models (MLLMs) to process continuous visual inputs and respond to user queries under strict causality and bounded m…

cs.CV2026

Taming SAM3 in the Wild: A Concept Bank for Open-Vocabulary Segmentation

Gensheng Pei, Xiruo Jiang, Yazhou Yao +3

The recent introduction of \texttt{SAM3} has revolutionized Open-Vocabulary Segmentation (OVS) through \textit{promptable concept segmentation}, which grounds pixel predictions in…

cs.CV2025

OmniGaze: Reward-inspired Generalizable Gaze Estimation In The Wild

Hongyu Qu, Jianan Wei, Xiangbo Shu +3

Current 3D gaze estimation methods struggle to generalize across diverse data domains, primarily due to i) the scarcity of annotated datasets, and ii) the insufficient diversity of…

cs.CV2025

Hierarchical Relation-augmented Representation Generalization for Few-shot Action Recognition

Hongyu Qu, Ling Xing, Jiachao Zhang +3

Few-shot action recognition (FSAR) aims to recognize novel action categories with few exemplars. Existing methods typically learn frame-level representations for each video by desi…

cs.CV2025★ 1 cited

Learning Clustering-based Prototypes for Compositional Zero-shot Learning

Hongyu Qu, Jianan Wei, Xiangbo Shu +1

Learning primitive (i.e., attribute and object) concepts from seen compositions is the primary challenge of Compositional Zero-Shot Learning (CZSL). Existing CZSL solutions typical…