Object search is a challenging task because when given complex language
...
Image captioning is conventionally formulated as the task of generating
...
Text-conditioned image editing has emerged as a powerful tool for editin...
Pre-training has been widely adopted in deep learning to improve model
p...
Massive web datasets play a key role in the success of large vision-lang...
Large multimodal datasets have been instrumental in recent breakthroughs...
Singapore has been striving to improve the provision of healthcare servi...
Web-crawled datasets have enabled remarkable generalization capabilities...
The COVID-19 pandemic has exposed the vulnerability of healthcare servic...
Sleep apnea (SA) is a type of sleep disorder characterized by snoring an...
Recent work has uncovered a striking phenomenon in large-capacity neural...
Makeup transfer is the task of applying on a source face the makeup styl...
The objective of this work is to deblur face videos. We propose a method...
In this work, we study the trade-off between differential privacy and
ad...
A key factor in the success of deep neural networks is the ability to sc...
We seek to learn models that we can interact with using high-level conce...
Natural language object retrieval is a highly useful yet challenging tas...
Consensus mechanism is the heart of any blockchain network. Many project...
Despite the high consumption of dietary supplements (DS), there are not ...
We develop a system to disambiguate objects based on simple physical
des...
Often times, we specify tasks for a robot using temporal language that c...
Identifying patients who will be discharged within 24 hours can improve
...
We introduce an end-to-end private deep learning framework, applied to t...