A year ago I argued ML saved CV. CVPR’26 best paper D4RT shows how vision isn’t being blindly assimilated by AI - it’s undergoing architectural consolidation. Unifying tracking, depth&pose into a 4D model speeds up pose estimation 100x. Geometric vision remains alive & relevant
Users are excited about the CVPR Best Paper unifying tracking, depth, and pose in a 4D model because it highlights the vast unexplored potential of higher dimensions in science.
@docmilanfar Hehe, I agree, there is so much more space in 4 dimensions. Not mentioning 5 and more :) I start to see that science is noticing more and more and how deep it can be :)
A year ago I argued ML saved CV. CVPR’26 best paper D4RT shows how vision isn’t being blindly assimilated by AI - it’s undergoing architectural consolidation. Unifying tracking, depth&pose into a 4D model speeds up pose estimation 100x. Geometric vision remains alive & relevant
A year ago I argued ML saved CV. CVPR’26 best paper D4RT shows how vision isn’t being blindly assimilated by AI - it’s undergoing architectural consolidation. Unifying tracking, depth&pose into a 4D model speeds up pose estimation 100x. Geometric vision remains alive & relevant