Human-centric video frame interpolation has great potential for improvin...
Although we have witnessed significant progress in human-object interact...
Although deep neural networks endow the downsampled superpoints with
dis...
Obstacle detection is a safety-critical problem in robot navigation, whe...
We present PlanarRecon – a novel framework for globally coherent detecti...
A significant gap remains between today's visual pattern recognition mod...
Reasoning about visual relationships is central to how humans interpret ...
The cost volume, capturing the similarity of possible correspondences ac...
Popularized as 'bottom-up' attention, bounding box (or region) based vis...
We introduce a compact network for holistic scene flow estimation, calle...
This work addresses the unsupervised adaptation of an existing object
de...
Important gains have recently been obtained in object detection by using...
As an agent moves through the world, the apparent motion of scene elemen...
Given two consecutive frames, video interpolation aims at generating
int...
The Faster R-CNN has recently demonstrated impressive results on various...
Recent advances in supervised salient object detection has resulted in
s...
We extensively compare, qualitatively and quantitatively, 40 state-of-th...
Detecting and segmenting salient objects in natural scenes, often referr...
Salient object detection has been attracting a lot of interest, and rece...