Reassembling 3D broken objects is a challenging task. A robust solution ...
Knowledge Graphs (KGs) have proven to be a reliable way of structuring d...
This paper proposes JiGAN, a GAN-based method for solving Jigsaw puzzles...
Backdoor attacks inject poisoning samples during training, with the goal...
One of the most concerning threats for modern AI systems is data poisoni...
Verb Sense Disambiguation is a well-known task in NLP, the aim is to fin...
Deep metric learning has yielded impressive results in tasks such as
clu...
Unsupervised domain adaptation (UDA) amounts to assigning class labels t...
For most animal species, quick and reliable identification of visual obj...
Recognizing the type of an ancient coin requires theoretical expertise a...
A major impediment to the application of deep learning to real-world pro...
Speaker clustering is the task of forming speaker-specific groups based ...
In this article we propose a method to refine the clustering results obt...