53 citations · 162 across the 33 of their papers we have counts for
6 papers · 1 filter
Generative Timelines for Instructed Visual Assembly
Alejandro Pardo, Jui-Hsien Wang, Bernard Ghanem +3
The objective of this work is to manipulate visual timelines (e.g. a video) through natural language instructions, making complex timeline editing tasks accessible to non-expert or…
Sync from the Sea: Retrieving Alignable Videos from Large-Scale Datasets
Ishan Rajendrakumar Dave, Fabian Caba Heilbron, Mubarak Shah +1
Temporal video alignment aims to synchronize the key events like object interactions or action phase transitions in two videos. Such methods could benefit various video editing, pr…
Adapting Dual-encoder Vision-language Models for Paraphrased Retrieval
Jiacheng Cheng, Hijung Valentina Shin, Nuno Vasconcelos +2
In the recent years, the dual-encoder vision-language models (\eg CLIP) have achieved remarkable text-to-image retrieval performance. However, we discover that these models usually…
Concept Weaver: Enabling Multi-Concept Fusion in Text-to-Image Models
Gihyun Kwon, Simon Jenni, Dingzeyu Li +3
While there has been significant progress in customizing text-to-image generation models, generating images that combine multiple personalized concepts remains challenging. In this…
Towards Automated Movie Trailer Generation
Dawit Mureja Argaw, Mattia Soldan, Alejandro Pardo +4
Movie trailers are an essential tool for promoting films and attracting audiences. However, the process of creating trailers can be time-consuming and expensive. To streamline this…
Scaling Up Video Summarization Pretraining with Large Language Models
Dawit Mureja Argaw, Seunghyun Yoon, Fabian Caba Heilbron +5
Long-form video content constitutes a significant portion of internet traffic, making automated video summarization an essential research problem. However, existing video summariza…