Generating learning-friendly representations for points in space is a
fu...
Despite the tremendous success in text-to-image generative models, local...
Communication compression is a common technique in distributed optimizat...
Communication compression is an essential strategy for alleviating
commu...
Geo-tagged images are publicly available in large quantities, whereas la...
Non-line-of-sight (NLOS) imaging is an emerging technique for detecting
...
We present Chirpy Cardinal, an open-domain social chatbot. Aiming to be ...
Unsupervised pre-training methods for large vision models have shown to
...
Automated tracking of urban development in areas where construction
info...
High-resolution satellite imagery has proven useful for a broad range of...
In this project, we leverage a trained single-letter classifier to predi...
We attempt to overcome the restriction of requiring a writing surface fo...
Existing image-to-image transformation approaches primarily focus on
syn...