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07/13/2023
Domain-Agnostic Tuning-Encoder for Fast Personalization of Text-To-Image Models
Text-to-image (T2I) personalization allows users to guide the creative i...
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05/02/2023
Key-Locked Rank One Editing for Text-to-Image Personalization
Text-to-image models (T2I) offer a new level of flexibility by allowing ...
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02/23/2023
Encoder-based Domain Tuning for Fast Personalization of Text-to-Image Models
Text-to-image personalization aims to teach a pre-trained diffusion mode...
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08/02/2022
An Image is Worth One Word: Personalizing Text-to-Image Generation using Textual Inversion
Text-to-image models offer unprecedented freedom to guide creation throu...
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04/04/2022
"This is my unicorn, Fluffy": Personalizing frozen vision-language representations
Large Vision Language models pretrained on web-scale data provide re...
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02/02/2022
Learning to reason about and to act on physical cascading events
Reasoning and interacting with dynamic environments is a fundamental pro...
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10/07/2020
ZEST: Zero-shot Learning from Text Descriptions using Textual Similarity and Visual Summarization
We study the problem of recognizing visual entities from the textual des...
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06/25/2020
A causal view of compositional zero-shot recognition
People easily recognize new visual categories that are new combinations ...
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04/05/2020
Long-tail learning with attributes
Learning to classify images with unbalanced class distributions is chall...
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07/26/2019
Cooperative image captioning
When describing images with natural language, the descriptions can be ma...
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06/10/2019
Few-Shot Learning with Per-Sample Rich Supervision
Learning with few samples is a major challenge for parameter-rich models...
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12/24/2018
Domain-Aware Generalized Zero-Shot Learning
Generalized zero-shot learning (GZSL) is the problem of learning a class...
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06/07/2018
Probabilistic AND-OR Attribute Grouping for Zero-Shot Learning
In zero-shot learning (ZSL), a classifier is trained to recognize visual...
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08/27/2016
