I really like the general approach of Cuboids, but given the very large difference in performance when 3d-Harris was used instead of temporal-Gabors, I'd be interested in seeing more work on how temporal feature selection works and how different methods (other than the two examined here) affect performance.

Doing a thought experiment on these temporal-Gabors, it seems like an edge moving back and forth at the right frequency (or for that matter, a flickering patch) would ellicit a large response (if I'm understanding this correctly). It seems like these may not be all that stable. Is there some way to combine 2d-Harris with temporal-Gabors, to find 'corners' with 'interesting' movement? Empirically, do the cuboids selected by either of the methods presented here correspond well to the features we most want?