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How to Describe Images in a More Funny Way? Towards a Modular Approach
  to Cross-Modal Sarcasm Generation

How to Describe Images in a More Funny Way? Towards a Modular Approach to Cross-Modal Sarcasm Generation

20 November 2022
Jie Ruan
Yue Wu
Xiaojun Wan
Yuesheng Zhu
ArXivPDFHTML

Papers citing "How to Describe Images in a More Funny Way? Towards a Modular Approach to Cross-Modal Sarcasm Generation"

5 / 5 papers shown
Title
"When Words Fail, Emojis Prevail": Generating Sarcastic Utterances with
  Emoji Using Valence Reversal and Semantic Incongruity
"When Words Fail, Emojis Prevail": Generating Sarcastic Utterances with Emoji Using Valence Reversal and Semantic Incongruity
Faria Binte Kader
Nafisa Hossain Nujat
Tasmia Binte Sogir
Mohsinul Kabir
H. Mahmud
Md. Kamrul Hasan
8
1
0
06 May 2023
BLIP: Bootstrapping Language-Image Pre-training for Unified
  Vision-Language Understanding and Generation
BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation
Junnan Li
Dongxu Li
Caiming Xiong
S. Hoi
MLLM
BDL
VLM
CLIP
382
4,010
0
28 Jan 2022
Geometry Attention Transformer with Position-aware LSTMs for Image
  Captioning
Geometry Attention Transformer with Position-aware LSTMs for Image Captioning
Chi-Yin Wang
Yulin Shen
Luping Ji
ViT
23
48
0
01 Oct 2021
Improving Image Captioning by Leveraging Intra- and Inter-layer Global
  Representation in Transformer Network
Improving Image Captioning by Leveraging Intra- and Inter-layer Global Representation in Transformer Network
Jiayi Ji
Yunpeng Luo
Xiaoshuai Sun
Fuhai Chen
Gen Luo
Yongjian Wu
Yue Gao
Rongrong Ji
ViT
38
163
0
13 Dec 2020
Knowing When to Look: Adaptive Attention via A Visual Sentinel for Image
  Captioning
Knowing When to Look: Adaptive Attention via A Visual Sentinel for Image Captioning
Jiasen Lu
Caiming Xiong
Devi Parikh
R. Socher
83
1,440
0
06 Dec 2016
1