most citedLearning to Compose Diversified Prompts for Image Emotion Classification

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

collaborators

5 papers

eess.IV20242 cited

A Lightweight GAN-Based Image Fusion Algorithm for Visible and Infrared Images

Zhizhong Wu, Jiajing Chen, LiangHao Tan +3

This paper presents a lightweight image fusion algorithm specifically designed for merging visible light and infrared images, with an emphasis on balancing performance and efficien…

cs.CV2024

Knowledge Guided Entity-aware Video Captioning and A Basketball Benchmark

Zeyu Xi, Ge Shi, Xuefen Li +5

Despite the recent emergence of video captioning models, how to generate the text description with specific entity names and fine-grained actions is far from being solved, which ho…

cs.CL2023

Boosting Event Extraction with Denoised Structure-to-Text Augmentation

bo wang, Heyan Huang, Xiaochi Wei +6

Event extraction aims to recognize pre-defined event triggers and arguments from texts, which suffer from the lack of high-quality annotations. In most NLP applications, involving…

cs.CV2023

Knowledge Augmented Relation Inference for Group Activity Recognition

Xianglong Lang, Zhuming Wang, Zun Li +4

Most existing group activity recognition methods construct spatial-temporal relations merely based on visual representation. Some methods introduce extra knowledge, such as action…

cs.CV20223 cited

Learning to Compose Diversified Prompts for Image Emotion Classification

Sinuo Deng, Lifang Wu, Ge Shi +3

Contrastive Language-Image Pre-training (CLIP) represents the latest incarnation of pre-trained vision-language models. Although CLIP has recently shown its superior power on a wid…