Neural scene flow prior
Before the deep learning revolution, many perception algorithms were based on runtime
optimization in conjunction with a strong prior/regularization penalty. A prime example of this …
optimization in conjunction with a strong prior/regularization penalty. A prime example of this …
Fast neural scene flow
Abstract Neural Scene Flow Prior (NSFP) is of significant interest to the vision community
due to its inherent robustness to out-of-distribution (OOD) effects and its ability to deal with …
due to its inherent robustness to out-of-distribution (OOD) effects and its ability to deal with …
Scene flow to action map: A new representation for rgb-d based action recognition with convolutional neural networks
Scene flow describes the motion of 3D objects in real world and potentially could be the
basis of a good feature for 3D action recognition. However, its use for action recognition …
basis of a good feature for 3D action recognition. However, its use for action recognition …
Motion-compensated compression of dynamic voxelized point clouds
Dynamic point clouds are a potential new frontier in visual communication systems. A few
articles have addressed the compression of point clouds, but very few references exist on …
articles have addressed the compression of point clouds, but very few references exist on …
Dense semi-rigid scene flow estimation from rgbd images
Scene flow is defined as the motion field in 3D space, and can be computed from a single
view when using an RGBD sensor. We propose a new scene flow approach that exploits the …
view when using an RGBD sensor. We propose a new scene flow approach that exploits the …
A primal-dual framework for real-time dense RGB-D scene flow
This paper presents the first method to compute dense scene flow in real-time for RGB-D
cameras. It is based on a variational formulation where brightness constancy and geometric …
cameras. It is based on a variational formulation where brightness constancy and geometric …
Development and validation of a Brazilian sign language database for human gesture recognition
Sign language recognition is considered the most important and challenging application in
gesture recognition, involving the fields of pattern recognition, machine learning and …
gesture recognition, involving the fields of pattern recognition, machine learning and …
SphereFlow: 6 DoF scene flow from RGB-D pairs
We take a new approach to computing dense scene flow between a pair of consecutive RGB-
D frames. We exploit the availability of depth data by seeking correspondences with respect …
D frames. We exploit the availability of depth data by seeking correspondences with respect …
Re-evaluating lidar scene flow for autonomous driving
Popular benchmarks for self-supervised LiDAR scene flow (stereoKITTI, and
FlyingThings3D) have unrealistic rates of dynamic motion, unrealistic correspondences, and …
FlyingThings3D) have unrealistic rates of dynamic motion, unrealistic correspondences, and …
What test oracle should I use for effective GUI testing?
A Memon, I Banerjee… - 18th IEEE International …, 2003 - ieeexplore.ieee.org
Test designers widely believe that the overall effectiveness and cost of software testing
depends largely on the type and number of test cases executed on the software. In this …
depends largely on the type and number of test cases executed on the software. In this …