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Controllable Contextualized Image Captioning: Directing the Visual
  Narrative through User-Defined Highlights

Controllable Contextualized Image Captioning: Directing the Visual Narrative through User-Defined Highlights

16 July 2024
Shunqi Mao
Chaoyi Zhang
Hang Su
Hwanjun Song
Igor Shalyminov
Weidong Cai
ArXivPDFHTML

Papers citing "Controllable Contextualized Image Captioning: Directing the Visual Narrative through User-Defined Highlights"

3 / 3 papers shown
Title
ImageSet2Text: Describing Sets of Images through Text
ImageSet2Text: Describing Sets of Images through Text
Piera Riccio
F. Galati
Kajetan Schweighofer
Noa Garcia
Nuria Oliver
VLM
CoGe
64
0
0
25 Mar 2025
BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image
  Encoders and Large Language Models
BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models
Junnan Li
Dongxu Li
Silvio Savarese
Steven C. H. Hoi
VLM
MLLM
244
4,186
0
30 Jan 2023
Show, Interpret and Tell: Entity-aware Contextualised Image Captioning
  in Wikipedia
Show, Interpret and Tell: Entity-aware Contextualised Image Captioning in Wikipedia
K. Nguyen
Ali Furkan Biten
Andrés Mafla
Lluís Gómez
Dimosthenis Karatzas
23
10
0
21 Sep 2022
1