Although current deep generative adversarial networks (GANs) could synth...
In this paper, we propose a novel end-to-end architecture that could gen...
Recent neural models for image captioning usually employs an encoder-dec...
Attention mechanisms are widely used in current encoder/decoder framewor...
Exploring fine-grained relationship between entities(e.g. objects in ima...
Saliency detection aims to detect the most attractive objects in images,...
In this work, we focus on a challenging task: synthesizing multiple imag...
Monte Carlo tree search (MCTS) is extremely popular in computer Go which...
This paper considers the challenging task of long-term video interpolati...
Recent learning-based super-resolution (SR) methods often focus on the
d...