Visual object recognition systems need to generalize from a set of 2D
tr...
Common neural network architectures are susceptible to attack by adversa...
Large-scale datasets are the cornerstone of self-supervised representati...
The recent success of Transformers in the language domain has motivated
...
Although deep learning-based methods have dominated stereo matching
lead...
Identifying the underlying directional relations from observational time...
Training deep learning (DL) models on petascale datasets is essential fo...
Deep residual networks (ResNets) made a recent breakthrough in deep lear...
Estimating the 3D pose of a hand is an essential part of human-computer
...
Unsupervised image-to-image translation aims at learning a joint distrib...
Transliteration is a key component of machine translation systems and
so...
State-of-the-art results of semantic segmentation are established by Ful...
Recent theoretical and empirical work in statistical machine learning ha...