[D] Want to public 12 CVPR papers in two years? Attention and Saliency Is All You Need!
For five years I have been playing with reinforcement learning and some computer graphic, but recently I decided to give up all my previous researches and begin my journey on attention and saliency. It seems that it is easy to make massive CVPR publications every year by combining modules, for example:
(please pay attention to the paper title and the first (or join-first) author “W. Wang”)
Salient object detection with pyramid attention and salient edges
W. Wang*, S. Zhao*, S. Hoi, J. Shen, and A. Borji.
An iterative and cooperative top-down and bottom-up inference network for salient object detection
W. Wang, J. Shen, M.-M. Cheng, and L. Shao.
Shifting more attention to video salient object detection
D. Fan, W. Wang, M.-M. Cheng, and J. Shen
See more, know more: Unsupervised video object segmentation with co-attention siamese networks
X. Lu*, W. Wang*, C. Ma, J. Shen, L. Shao and F. Porikli
Learning unsupervised video object segmentation through visual attention
W. Wang*, H. Song*, S. Zhao, J. Shen, S. Zhao, S. Hoi, and H. Ling
Reasoning visual dialogs with structural and partial observations
Z. Zheng*, W. Wang*, S. Qi*, and S.-C. Zhu
Inferring shared attention in social scene videos
L. Fan, Y. Chen, P. Wei, W. Wang
Salient object detection driven by fixation prediction
W. Wang, J. Shen and A. Borji
Revisiting video saliency: A large-scale benchmark and a new model
W. Wang, J. Shen, F. Guo, M.-M. Cheng, and A. Borji
Attentive fashion grammar network for fashion landmark detection and clothing category classification
W. Wang*, Y. Xu*, J. Shen, and S.-C. Zhu
…（much more hidden）
I think I HAVE to give up all my previous researches and start my works on attention and saliency, otherwise all my job and teaching opportunities will disappear because these people are so “talented”.
OK. Here I would like to add some suggestions to make this post constructive. I strongly recommend IEEE CVPR to have a longer and a more meaningful PC meeting, maybe somehow like that of SIGGRAPH, to have some discussion on the “multiple submission” issue.