The recent advancements in deep convolutional neural networks have shown...
Accurate estimation of stereo camera extrinsic parameters is the key to
...
Accurate and robust correspondence matching is of utmost importance for
...
Optical flow and disparity are two informative visual features for auton...
Vision-and-language navigation (VLN) is a crucial but challenging cross-...
Vision-and-Language Navigation (VLN) is a realistic but challenging task...
Surface normal holds significant importance in visual environmental
perc...
Vision-and-Language Navigation (VLN) aims to develop intelligent agents ...
We propose a meta-ability decoupling (MAD) paradigm, which brings togeth...
Correspondence matching is a fundamental problem in computer vision and
...
"Search for" or "Navigate to"? When finding an object, the two choices a...
Graph kernels are conventional methods for computing graph similarities....
Object navigation tasks require agents to locate specific objects in unk...
Cherry tomato (Solanum Lycopersicum) is popular with consumers over the ...
With the development of key technologies like environment perception, th...
Crowd counting is the task of estimating pedestrian numbers in crowd ima...
Novel view synthesis aims to synthesize new images from different viewpo...