We present X-Decoder, a generalized decoding model that can predict pixel-level
segmentation and language tokens seamlessly. X-Decoder takes as input two types of …

Neural compression is the application of neural networks and other machine learning
methods to data compression. Recent advances in statistical machine learning have opened …

Accurate delineation of boundaries and instance semantics is crucial for tasks like object
localization in robotic arm gras**, and vehicle and pedestrian detection in autonomous …

Window to Wall Ratios (WWR) are key to assessing the energy, daylight and ventilation
performance of buildings. Studies have shown that window area has a large impact on …