Publications

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Refereed papers (Journal and Conference)


2014

Microsoft COCO: Common Objects in Context

T.Y. Lin, M. Maire, S. Belongie, J. Hays, P. Perona, D. Ramanan, P. Dollar, and C. L. Zitnick

ECCV, 2014. (webpage, arXiv)

Edge Boxes: Locating Object Proposals from Edges

C. L. Zitnick and Piotr Dollar

ECCV, 2014. (code)

Zero-Shot Learning via Visual Abstraction

S. Antol, C. L. Zitnick, and D. Parikh

ECCV, 2014. (webpage)

Predicting Object Dynamics in Scenes

D. Fouhey and C. L. Zitnick

CVPR, 2014. (webpage, supp. mat.)

Detecting Objects using Deformation Dictionaries

B. Hariharan, C. L. Zitnick, and P. Dollar

CVPR, 2014.


2013

Structured Forests for Fast Edge Detection

P. Dollar and C. L. Zitnick

ICCV, 2013. (code, supp. mat.)

Learning the Visual Interpretation of Sentences

C. L. Zitnick, D. Parikh, and L. Vanderwende

ICCV, 2013.  (webpage, dataset, supp. mat.)

Handwriting Beautification Using Token Means

C. L. Zitnick

SIGGRAPH, 2013. (video, YouTube, talk slides, handwriting data)

Bringing Semantics Into Focus Using Visual Abstraction

C. L. Zitnick and D. Parikh

CVPR, 2013. (webpage, dataset, talk video, talk slides)

Sketch-Tokens: A Learned Mid-level Representation for Contour and Object Detection

J. Lim, C. L. Zitnick, and P. Dollar

CVPR, 2013. (code)

Exploring Weak Stabilization for Motion Feature Extraction

D. Park, C. L. Zitnick, D. Ramanan, and P. Dollar

CVPR, 2013.

Which Edges Matter?

A. Bansal, A. Kowdle, D. Parikh, A. C. Gallagher, and C. L. Zitnick

Workshop on 3D Representation and Recognition (3dRR), ICCV, 2013.


2012

Exploring the Spatial Hierarchy of Mixture Models for Human Pose Estimation

Y. Tian, C. L. Zitnick, and S. Narasimhan

ECCV, 2012. (webpage)

The Role of Image Understanding in Contour Detection

C. L. Zitnick and D. Parikh

CVPR, 2012. (Additional thoughts)

Seeing through the Blur

H. Mobahi, C. L. Zitnick, and Y. Ma

CVPR, 2012. (webpage)

Exploring Tiny Images: The Roles of Appearance and Contextual Information for Machine and Human Object Recognition

D. Parikh, C. L. Zitnick, and T. Chen

PAMI, 34(10):1978-1991, 2012.

Image Restoration by Matching Gradient Distributions

T. Cho, C. L. Zitnick, N. Joshi, S. B. Kang, R. Szeliski, and W. Freeman

PAMI, 34(4):683-694, 2012.

A Memory Efficient Discriminative approach for Location aided Recognition

V. Hedau, S. Sinha, C. L. Zitnick, and R. Szeliski

Workshop on Visual Analysis and Geo-Localization of Large-Scale Imagery, ECCV, 2012.


2011

Edge Foci Interest Points

C. L. Zitnick, and K. Ramnath

ICCV, 2011. (webpage, executable)

ShadowDraw: Real-Time User Guidance for Freehand Drawing

Y. J. Lee, C. L. Zitnick, and M. Cohen

SIGGRAPH, 2011. (video, YouTube, webpage)

Finding the Weakest Link in Person Detectors

D. Parikh and C. L. Zitnick

CVPR, 2011. (webpage)

A Viewer-Centric Editor for Stereoscopic Cinema

S. J. Koppal, C. L. Zitnick, M.F. Cohen, S.B. Kang, B. Ressler, and A. Colburn

IEEE Computer Graphics and Applications, 2011. (webpage)


2010

C. L. Zitnick

ECCV, 2010. (webpage, executable)

Binary Coherent Edge Descriptors

A. Gupta, N. Joshi, C. L. Zitnick, M. Cohen, B. Curless

ECCV, 2010.  (webpage)

Single Image Deblurring using Motion Density Functions

N. Joshi, S.B. Kang, C.L. Zitnick, and R. Szeliski

SIGGRAPH, 2010.  (webpage)

Image deblurring with inertial measurement sensors

D. Parikh, and C. L. Zitnick

CVPR, 2010.

The Role of Features, Algorithms and Data in Visual Recognition

T. Cho, N Joshi, C. L. Zitnick S. B. Kang, B. Freeman, and R. Szeliski

CVPR, 2010. (webpage)

A Content-Aware Image Prior

P. Bhat, C. L. Zitnick, M. Cohen, B. Curless

ACM Transactions on Graphics, 2010. (webpage)

GradientShop: A Gradient-Domain Optimization Framework for Image and Video Filtering


2009

D. Parikh, C. L. Zitnick, and T. Chen

CVPR, 2009.

Unsupervised Learning of Hierarchical Spatial Structures in Images 

N. Joshi, C. L. Zitnick, R. Szeliski, and D. Kriegman

CVPR, 2009.

Image Deblurring and Denoising using Color Priors

F. Schroff, C. L. Zitnick, and S. Baker

BMVC, 2009.

Clustering Videos by Location


2008

D. Parikh, C. L. Zitnick, and T. Chen

ECCV, 2008.

Determining Patch Saliency Using Low-Level Context

P. Bhat, B. Curless, M. Cohen and C. L. Zitnick

ECCV, 2008.

Fourier Analysis of the 2D Screened Poisson Equation for Gradient Domain Problems

Y. Taguchi, B. Wilburn and C. L. Zitnick

CVPR, 2008.

 Stereo Reconstruction with Mixed Pixels Using Adaptive Over-Segmentation

D. Parikh, C. L. Zitnick, and T. Chen

CVPR, 2008.

From Appearance to Context-Based Recognition: Dense Labeling in Small Images

C. Liu, R. Szeliski, S.B. Kang, C.L. Zitnick, and W.T. Freeman

PAMI 30(2):299-314, 2008.

Automatic estimation and removal of noise from a single image

G. Schindler, C. L. Zitnick, M. Brown

IEEE Workshop on Internet Vision (CVPR), 2008.

Internet Video Category Recognition


2007

P. Bhat, C. L. Zitnick, N. Snavely, A. Agarwala, M. Agarwala, B. Curless, M. Cohen, S. B. Kang

Eurographics Symposium on Rendering (EGSR), 2007. (webpage)

Using Photographs to Enhance Videos of a Static Scene

C. L. Zitnick and S. B. Kang

IJCV 75(1):49-65, 2007.

Stereo for image-based rendering using image over-segmentation


2006

J. Sivic, C. L. Zitnick and R. Szeliski

BMVC, 2006.

Finding people in repeated shots of the same scene

V. Vaish, R. Szeliski, C. L. Zitnick, S.B. Kang, and M. Levoy

CVPR, 2006.

Reconstructing occluded surfaces using synthetic apertures: Shape from focus vs.

shape from stereo

N. Jojic, J. Winn, C. L. Zitnick

CVPR, 2006.

Escaping local minima through hierarchical model selection: Automatic object discovery, segmentation, and tracking in video

N. Snavely, C. L. Zitnick, S. B. Kang, and M. Cohen

Intíl Symp. on Non-Photorealistic Animation and Rendering (NPAR), 2006.  (video)

Stylizing 2.5-D video

E. Bennett, M. Uyttendaele, C. L. Zitnick, R. Szeliski, and S. B. Kang

ECCV, 2006.

Video and Image Bayesian Demosaicing With A Two Color Image Prior


2005 and earlier

C. L. Zitnick, N. Jojic, S. B. Kang

ICCV, 2005. (webpage)

Consistent segmentation for optical flow estimation

C. L. Zitnick, S.B. Kang, M. Uyttendaele, S. Winder, and R. Szeliski

SIGGRAPH 2004.  (video, data, webpage)

High-quality video view interpolation using a layered representation.

C. L. Zitnick, T. Kanade

Conference on Uncertainty in Artificial Intelligence (UAI), 2004.

Maximum Entropy for Collaborative Filtering

C. L. Zitnick, Thesis 2003.

 

Computing Conditional Probabilities in Large Domains by Maximizing Renyi's Quadratic Entropy

J. Gemmell, C. L. Zitnick, T. Kang, K. Toyama and Steven Seitz 

IEEE MultiMedia, pp. 26-35, 2000.

Gaze-awareness for Videoconferencing: A Software Approach

C. L. Zitnick and T. Kanade

PAMI 22(7), 2000. (webpage)

A Cooperative Algorithm for Stereo Matching and Occlusion Detection

S. B. Kang, J. Webb, C. L. Zitnick, and T. Kanade

ICCV, 1995.

An Active multibaseline stereo system with real-time image acquisition


Videos

J. Berry, C. L. Zitnick

Siggraph Animation Theater, 2004

Massive Arabesque


Technical reports

A Framework for Encoding Object-level Image Priors
J. Yuen, C. L. Zitnick, C. Liu, A. Torralba
Tech. Report MSR-TR-2011-99, Microsoft Research, 2011

 Color Source Separation for Enhanced Pixel Manipulations
C. L. Zitnick, D. Parikh
Tech. Report MSR-TR-2011-98, Microsoft Research, 2011

Detecting Objects using Unsupervised Parts-based Attributes
S. Divvala, C. L. Zitnick, A. Kapoor, and S. Baker
Tech. Report CMU-RI-TR-11-10, Robotics Institute, Carnegie Mellon University, 2010

Local Bi-gram Model for Object Recognition
Xiangyang Lan, C. L. Zitnick, Richard Szeliski
Tech. Report MSR-TR-2007-54, Microsoft Research, 2007

Object instance recognition using triplets of feature symbols
C. L. Zitnick, Jie Sun, Richard Szeliski, Simon Winder
Tech. Report MSR-TR-2007-53, Microsoft Research, 2007 (webpage)

Manipulation of Video Eye Gaze and Head Orientation for Video Teleconferencing
C. L. Zitnick; Jim Gemmell; Kentaro Toyama
tech
. report MSR-TR-99-46, Microsoft Research, 1999

A Cooperative Algorithm for Stereo Matching and Occlusion Detection
C. L. Zitnick and T. Kanade
tech. report CMU-RI-TR-99-35, Robotics Institute, Carnegie Mellon University, October, 1999.

A Volumetric Iterative Approach to Stereo Matching and Occlusion Detection
C. L. Zitnick and T. Kanade
tech. report CMU-RI-TR-98-30, Robotics Institute, Carnegie Mellon University, December, 1998.

Multi-baseline Stereo Using Surface Extraction
C. L. Zitnick and J.A. Webb
tech. report CMU-CS-96-196, Computer Science Department, Carnegie Mellon University, 1996.

An Active Multibaseline Stereo System with Real-Time Image Acquisition
S. Kang, J. Webb, C. L. Zitnick, and T. Kanade
tech. report CMU-CS-94-167, Computer Science Department, Carnegie Mellon University,


Unpublished

Content-free Image Retrieval
C. L. Zitnick and T. Kanade, 2003