The cost of labeling data often limits the performance of machine learni...
Multi-label image recognition in the low-label regime is a task of great...
Large Vision-Language Foundation Models (VLFM), such as CLIP, ALIGN and
...
Solving multi-label recognition (MLR) for images in the low-label regime...
Deep convolutional networks have recently achieved great success in vide...
Multi-modal learning, which focuses on utilizing various modalities to
i...
Network quantization has rapidly become one of the most widely used meth...
Many interesting events in the real world are rare making preannotated
m...
Multi-task learning is an open and challenging problem in computer visio...
Learning from a few examples is a challenging task for machine learning....
Unsupervised model transfer has the potential to greatly improve the
gen...
Many activities of interest are rare events, with only a few labeled exa...
Video generation is an inherently challenging task, as it requires the m...
We propose the first deep learning solution to video frame inpainting, a...