Top 10 Predictions of FCCM. The number of misses is more than the number of hits. Research is a risky business. Negative predictions are more likely to hit. Several open problems are simply too hard to be solved.
Death of the RLOC?, a paper by Satnam Singh, in FPGA 2000. The conclusion is that RLOC is still way better than automatic place and route in many cases. Ten years later, he re-evaluates the death of RLOC in FPGA 2011, with a short paper titled “The RLOC is Dead — Long Live the RLOC“. According to a longer abstract of the latter paper, the RLOC is still not dead yet.
Object Detection with Discriminatively Trained Part Based Models, in TPAMI 2010. The MATLAB code is available at the project website. Thanks to the pointer from Tomasz Malisiewicz.
Intel Science and Technology Center (ISTC) for Visual Computing at Stanford (http://visual.stanford.edu/), is recently founded. It re-brands the Computer Graphics Lab (http://graphics.stanford.edu/) by replacing the “graphics” with “visual”. The term “visual computing”, in a general sense, includes both computer vision and computer graphics.