Across the globe, remote image data is rapidly being collected for the
a...
We propose a novel concept to directly match feature descriptors extract...
Recurrent Neural Networks (RNN), Long Short-Term Memory Networks (LSTM),...
Word representations are created using analogy context-based statistics ...
Generating a description of an image is called image captioning. Image
c...
Generating a description of an image is called image captioning. Image
c...
This paper proposes a novel image set classification technique based on ...
By introducing sign constraints on the weights, this paper proposes sign...
This paper presents a new method for 3D action recognition with skeleton...
We propose a novel image set classification technique using linear regre...
Deep residual networks have recently emerged as the state-of-the-art
arc...
Predicting an interaction before it is fully executed is very important ...
Conventional change detection methods require a large number of images t...
Indoor scene recognition is a multi-faceted and challenging problem due ...
Recognizing 3D objects in the presence of noise, varying mesh resolution...