Unsupervised Domain Adaptation (UDA) approaches address the covariate sh...
We abstract the features (i.e. learned representations) of multi-modal d...
This paper presents one of the first learning-based NeRF 3D instance
seg...
We present ONeRF, a method that automatically segments and reconstructs
...
This paper presents the first significant object detection framework,
Ne...
Based on the physical features of Raman amplification, we propose a
thre...
From the patter of rain to the crunch of snow, the sounds we hear often
...
We present Native Chinese Reader (NCR), a new machine reading comprehens...
Learning multi-modal representations is an essential step towards real-w...
Cycle consistent generative adversarial network (CycleGAN) and variation...