Dragomir Anguelov

According to our database1, Dragomir Anguelov authored at least 32 papers between 1999 and 2017.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

Homepage:

On csauthors.net:

Bibliography

2017
PointFusion: Deep Sensor Fusion for 3D Bounding Box Estimation.
CoRR, 2017

3D Bounding Box Estimation Using Deep Learning and Geometry.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016
3D Bounding Box Estimation Using Deep Learning and Geometry.
CoRR, 2016

Self-taught object localization with deep networks.
Proceedings of the 2016 IEEE Winter Conference on Applications of Computer Vision, 2016

SSD: Single Shot MultiBox Detector.
Proceedings of the Computer Vision - ECCV 2016, 2016

2015
SSD: Single Shot MultiBox Detector.
CoRR, 2015

Going deeper with convolutions.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2014
Self-informed neural network structure learning.
CoRR, 2014

Scalable, High-Quality Object Detection.
CoRR, 2014

Going Deeper with Convolutions.
CoRR, 2014

Training Deep Neural Networks on Noisy Labels with Bootstrapping.
CoRR, 2014

Self-taught Object Localization with Deep Networks.
CoRR, 2014

Capturing Long-Tail Distributions of Object Subcategories.
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

Scalable Object Detection Using Deep Neural Networks.
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

2013
A General Algorithm for Approximate Inference and its Application to Hybrid Bayes Nets
CoRR, 2013

Learning Hierarchical Object Maps Of Non-Stationary Environments with mobile robots
CoRR, 2013

Scalable Object Detection using Deep Neural Networks.
CoRR, 2013

2012
Recovering Articulated Object Models from 3D Range Data
CoRR, 2012

2010
Google Street View: Capturing the World at Street Level.
IEEE Computer, 2010

Hybrid hessians for flexible optimization of pose graphs.
Proceedings of the 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2010

High quality pose estimation by aligning multiple scans to a latent map.
Proceedings of the IEEE International Conference on Robotics and Automation, 2010

2008
Markov random field models for hair and face segmentation.
Proceedings of the 8th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2008), 2008

2007
Contextual Identity Recognition in Personal Photo Albums.
Proceedings of the 2007 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2007), 2007

2006
Object Pose Detection in Range Scan Data.
Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2006), 2006

2005
SCAPE: shape completion and animation of people.
ACM Trans. Graph., 2005

Discriminative Learning of Markov Random Fields for Segmentation of 3D Scan Data.
Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2005), 2005

2004
Recovering Articulated Object Models from 3D Range Data.
Proceedings of the UAI '04, 2004

The Correlated Correspondence Algorithm for Unsupervised Registration of Nonrigid Surfaces.
Proceedings of the Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, 2004

Detecting and Modeling Doors with Mobile Robots.
Proceedings of the 2004 IEEE International Conference on Robotics and Automation, 2004

2002
Learning Hierarchical Object Maps of Non-Stationary Environments with Mobile Robots.
Proceedings of the UAI '02, 2002

2000
Mining the stock market (extended abstract): which measure is best?
Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining, 2000

1999
A General Algorithm for Approximate Inference and Its Application to Hybrid Bayes Nets.
Proceedings of the UAI '99: Proceedings of the Fifteenth Conference on Uncertainty in Artificial Intelligence, Stockholm, Sweden, July 30, 1999


  Loading...