Publications by
Topic
Note:
a publication may be listed under more than one topic.
Object
Recognition and Attributes
G.
Wang, D. Hoiem, and D.A. Forsyth, “Learning Image Similarity from Flickr
Groups Using Stochastic Intersection Kernel Machines”, ICCV 2009. pdf ; project
A. Farhadi,
I. Endres, D. Hoiem, and D.A. Forsyth, “Describing Objects by their
Attributes”, CVPR 2009. pdf ; project
G.
Wang, D. Hoiem, and D.A. Forsyth, “Building Text Features for Object
Image Classification”, CVPR
2009. pdf
S.K.
Divvala, D. Hoiem, J.H. Hays, A.A. Efros, and M. Hebert, “An Empirical
Study of Context in Object Detection”, CVPR 2009. pdf
D.
Hoiem, A.A. Efros, and M. Hebert, “Putting Objects in Perspective”,
IJCV (80), No. 1, October 2008. pdf
D.
Hoiem, C. Rother, and J. Winn, "3D LayoutCRF for Multi-View Object Class
Recognition and Segmentation", CVPR 2007. pdf
D.
Hoiem, A.A. Efros, and M. Hebert, "Putting Objects in Perspective", CVPR
2006. pdf ; project
D. Hoiem,
R. Sukthankar, H. Schneiderman, and L. Huston, "Object-Based Image
Retrieval Using the Statistics of Images", CVPR 2004. pdf ; project
3D
Scene Estimation: Surfaces and Occlusion Boundaries
V.
Hedau, D. Hoiem, and D.A. Forsyth, “Recovering the Spatial Layout of
Cluttered Rooms”, ICCV 2009. pdf
D. Hoiem, A.A. Efros, M. Hebert, "Occlusion-based Image Segmentation", submitted to IJCV. (ask for draft)
D.
Hoiem, A.N. Stein, A.A. Efros, and M. Hebert, "Recovering Occlusion
Boundaries from a Single Image", ICCV 2007. pdf
A.N.
Stein, D. Hoiem, and M. Hebert, "Learning to Extract Object Boundaries
using Motion Cues", ICCV 2007. pdf
D.
Hoiem, A.A. Efros, and M. Hebert, "Recovering Surface Layout from an
Image", IJCV, Vol. 75, No. 1, October 2007. pdf
D. Hoiem, A.A. Efros, and M. Hebert, "Geometric Context from a Single
Image", ICCV 2005. pdf ; project
Scene
Understanding
D.
Hoiem, A.A. Efros, and M. Hebert, “Closing the Loop on Scene
Interpretation”, CVPR 2008. pdf
D.
Hoiem, "Seeing the World Behind the Image: Spatial Layout for 3D Scene
Understanding", doctoral dissertation, CMU-RI-TR-07-28, Robotics
Institute, Carnegie Mellon University, August 2007. pdf
D.
Hoiem, A.A. Efros, and M. Hebert, “Putting Objects in Perspective”,
IJCV (80), No. 1, October 2008. pdf
D.
Hoiem, A.A. Efros, and M. Hebert, "Putting Objects in Perspective", CVPR
2006. pdf ; project
Single-View
3D Reconstruction
D.
Hoiem, A.A. Efros, and M. Hebert, “Closing the Loop on Scene
Interpretation”, CVPR 2008.
D.
Hoiem, A.A. Efros, and M. Hebert, "Automatic Photo Pop-up", ACM
SIGGRAPH 2005. pdf ; project
Image
Editing and Manipulation
J-F. Lalonde, D. Hoiem, A.A. Efros, J. Winn, C. Rother and A. Criminisi,
"Photo Clip Art", ACM SIGGRAPH 2007. pdf
; project
Image
Retrieval
G.
Wang, D. Hoiem, and D.A. Forsyth, “Learning Image Similarity from Flickr
Groups Using Stochastic Intersection Kernel Machines”, ICCV 2009. pdf ; project
D.
Hoiem, R. Sukthankar, H. Schneiderman, and L. Huston, "Object-Based Image
Retrieval Using the Statistics of Images", CVPR 2004. pdf ; project
L. Huston, R. Sukthankar, D. Hoiem, and J.
Zhang, "SnapFind: Brute Force Interactive Image Retrieval", IEEE
International Conference on Image Processing and Graphics, 2004. pdf
Machine
Learning
G.
Wang, D. Hoiem, and D.A. Forsyth, “Learning Image Similarity from Flickr
Groups Using Stochastic Intersection Kernel Machines”, ICCV 2009. pdf ; project
M. Szummer,
P. Kohli, and D. Hoiem, “Learning CRFs using Graph Cuts”, ECCV 2008. pdf
Sound
and Music Identification
Y.
Ke, D. Hoiem, and R. Sukthankar, "Computer Vision for Music
Identification", CVPR 2005. pdf ; project
D. Hoiem, Y. Ke, and R. Sukthankar, "SOLAR:
Sound Object Localization and Retrieval in Complex Audio Environments", IEEE
International Conference on Acoustics, Speech, and Signal Processing (ICASSP),
2005. pdf ; project
Robotics
B.
Nabbe, D. Hoiem, A.A. Efros, and M. Hebert, "Opportunistic use of vision
to push back the path-planning horizon", IROS 2006. pdf
Miscellaneous
T.L. Berg, A. Sorokin, G. Wang, D.A. Forsyth, D. Hoiem, A. Farhadi, I. Endres, "It's All About the Data", Accepted to Proc. IEEE , Special Issue on Internet Vision.