most citedA Survey on Multimodal Benchmarks: In the Era of Large AI Models

1 citations · 1 across the 3 of their papers we have counts for

collaborators

3 papers

cs.CV2025

em: Learning Hierarchical Hyperbolic Embeddings for Compositional Zero-Shot Learning

Lin Li, Jiahui Li, Jiaming Lei +3

Compositional zero-shot learning (CZSL) aims to recognize unseen state-object compositions by generalizing from a training set of their primitives (state and object). Current metho…

cs.CV2025

Zero-shot Compositional Action Recognition with Neural Logic Constraints

Gefan Ye, Lin Li, Kexin Li +2

Zero-shot compositional action recognition (ZS-CAR) aims to identify unseen verb-object compositions in the videos by exploiting the learned knowledge of verb and object primitives…

cs.AI2024★ 1 cited

A Survey on Multimodal Benchmarks: In the Era of Large AI Models

Lin Li, Guikun Chen, Hanrong Shi +2

The rapid evolution of Multimodal Large Language Models (MLLMs) has brought substantial advancements in artificial intelligence, significantly enhancing the capability to understan…