103 citations · 127 across the 5 of their papers we have counts for
5 papers
FreeGraftor: Training-Free Cross-Image Feature Grafting for Subject-Driven Text-to-Image Generation
Zebin Yao, Lei Ren, Huixing Jiang +4
Subject-driven image generation aims to synthesize novel scenes that faithfully preserve subject identity from reference images while adhering to textual guidance. However, existin…
Concept Conductor: Orchestrating Multiple Personalized Concepts in Text-to-Image Synthesis
Zebin Yao, Fangxiang Feng, Ruifan Li +1
The customization of text-to-image models has seen significant advancements, yet generating multiple personalized concepts remains a challenging task. Current methods struggle with…
Multi-Scale RCNN Model for Financial Time-series Classification
Liu Guang, Wang Xiaojie, Li Ruifan
Financial time-series classification (FTC) is extremely valuable for investment management. In past decades, it draws a lot of attention from a wide extent of research areas, espec…
Constructing Hierarchical Image-tags Bimodal Representations for Word Tags Alternative Choice
Fangxiang Feng, Ruifan Li, Xiaojie Wang
This paper describes our solution to the multi-modal learning challenge of ICML. This solution comprises constructing three-level representations in three consecutive stages and ch…
Challenges in Representation Learning: A report on three machine learning contests
Ian J. Goodfellow, Dumitru Erhan, Pierre Luc Carrier +25
The ICML 2013 Workshop on Challenges in Representation Learning focused on three challenges: the black box learning challenge, the facial expression recognition challenge, and the…