Contextual classification of lidar data and building object detection in urban areas
J Niemeyer, F Rottensteiner, U Soergel - ISPRS journal of photogrammetry …, 2014 - Elsevier
In this work we address the task of the contextual classification of an airborne LiDAR point
cloud. For that purpose, we integrate a Random Forest classifier into a Conditional Random …
cloud. For that purpose, we integrate a Random Forest classifier into a Conditional Random …
Toward socially aware robot navigation in dynamic and crowded environments: A proactive social motion model
XT Truong, TD Ngo - IEEE Transactions on Automation Science …, 2017 - ieeexplore.ieee.org
Safe and social navigation is the key to deploying a mobile service robot in a human-
centered environment. Widespread acceptability of mobile service robots in daily life is …
centered environment. Widespread acceptability of mobile service robots in daily life is …
Deep phenotyping: deep learning for temporal phenotype/genotype classification
Background High resolution and high throughput genotype to phenotype studies in plants
are underway to accelerate breeding of climate ready crops. In the recent years, deep …
are underway to accelerate breeding of climate ready crops. In the recent years, deep …
CRF learning with CNN features for image segmentation
Abstract Conditional Random Rields (CRF) have been widely applied in image
segmentations. While most studies rely on hand-crafted features, we here propose to exploit …
segmentations. While most studies rely on hand-crafted features, we here propose to exploit …
Markov random field modeling, inference & learning in computer vision & image understanding: A survey
In this paper, we present a comprehensive survey of Markov Random Fields (MRFs) in
computer vision and image understanding, with respect to the modeling, the inference and …
computer vision and image understanding, with respect to the modeling, the inference and …
F-formation detection: Individuating free-standing conversational groups in images
Detection of groups of interacting people is a very interesting and useful task in many
modern technologies, with application fields spanning from video-surveillance to social …
modern technologies, with application fields spanning from video-surveillance to social …
Video pop-up: Monocular 3d reconstruction of dynamic scenes
Consider a video sequence captured by a single camera observing a complex dynamic
scene containing an unknown mixture of multiple moving and possibly deforming objects. In …
scene containing an unknown mixture of multiple moving and possibly deforming objects. In …
Dynamic social zone based mobile robot navigation for human comfortable safety in social environments
XT Truong, TD Ngo - International Journal of Social Robotics, 2016 - Springer
We propose an effective human comfortable safety framework enabling a mobile service
robot to navigate safely and socially in social environments. The proposed framework takes …
robot to navigate safely and socially in social environments. The proposed framework takes …
Co-occurrence filter
RJ Jevnisek, S Avidan - … of the IEEE conference on computer …, 2017 - openaccess.thecvf.com
Abstract Co-occurrence Filter (CoF) is a boundary preserving filter. It is based on the
Bilateral Filter (BF) but instead of using a Gaussian on the range values to preserve edges it …
Bilateral Filter (BF) but instead of using a Gaussian on the range values to preserve edges it …
Acp++: Action co-occurrence priors for human-object interaction detection
A common problem in the task of human-object interaction (HOI) detection is that numerous
HOI classes have only a small number of labeled examples, resulting in training sets with a …
HOI classes have only a small number of labeled examples, resulting in training sets with a …