activity
20202025
most citedGenerative Adversarial U-Net for Domain-free Medical Image Augmentation

9 citations · 22 across the 10 of their papers we have counts for

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6 papers · 1 filter

cs.CV2025

Exploring the Role of Explicit Temporal Modeling in Multimodal Large Language Models for Video Understanding

Yun Li, Zhe Liu, Yajing Kong +6

Applying Multimodal Large Language Models (MLLMs) to video understanding presents significant challenges due to the need to model temporal relations across frames. Existing approac…

cs.CV2024

Compositional Zero-Shot Learning with Contextualized Cues and Adaptive Contrastive Training

Yun Li, Zhe Liu, Lina Yao

Compositional Zero-Shot Learning (CZSL) aims to recognize unseen combinations of seen attributes and objects. Current CLIP-based methods in CZSL, despite their advancements, often…

cs.CV2024

Context-based and Diversity-driven Specificity in Compositional Zero-Shot Learning

Yun Li, Zhe Liu, Hang Chen +1

Compositional Zero-Shot Learning (CZSL) aims to recognize unseen attribute-object pairs based on a limited set of observed examples. Current CZSL methodologies, despite their advan…

cs.CV20221 cited

Simple Primitives with Feasibility- and Contextuality-Dependence for Open-World Compositional Zero-shot Learning

Zhe Liu, Yun Li, Lina Yao +4

The task of Compositional Zero-Shot Learning (CZSL) is to recognize images of novel state-object compositions that are absent during the training stage. Previous methods of learnin…

cs.CV2021

An Entropy-guided Reinforced Partial Convolutional Network for Zero-Shot Learning

Yun Li, Zhe Liu, Lina Yao +3

Zero-Shot Learning (ZSL) aims to transfer learned knowledge from observed classes to unseen classes via semantic correlations. A promising strategy is to learn a global-local repre…

cs.CV20213 cited

Task Aligned Generative Meta-learning for Zero-shot Learning

Zhe Liu, Yun Li, Lina Yao +2

Zero-shot learning (ZSL) refers to the problem of learning to classify instances from the novel classes (unseen) that are absent in the training set (seen). Most ZSL methods infer…