Data efficiency, or the ability to generalize from a few labeled data,
r...
The need for large amounts of training and validation data is a huge con...
Semantic Image Synthesis (SIS) is a subclass of image-to-image translati...
A promise of Generative Adversarial Networks (GANs) is to provide cheap
...
Privacy and memory are two recurring themes in a broad conversation abou...
Recent object detection models require large amounts of annotated data f...
Few-shot object detection (FSOD) seeks to detect novel categories with
l...
Few-shot object detection (FSOD) has thrived in recent years to learn no...
Integrating different representations from complementary sensing modalit...
In autonomous driving, lidar is inherent for the understanding of the 3D...
Semantic Image Synthesis (SIS) is a subclass of image-to-image translati...
Predicting future 3D LiDAR pointclouds is a challenging task that is use...