C. Lawrence Zitnick

According to our database, C. Lawrence Zitnick authored at least 112 papers between 1995 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Fine-Tuned Language Models Generate Stable Inorganic Materials as Text.

Nate Gruver, Anuroop Sriram, Andrea Madotto, Andrew Gordon Wilson, C. Lawrence Zitnick, Zachary W. Ulissi

CoRR, 2024

2023

From Molecules to Materials: Pre-training Large Generalizable Models for Atomic Property Prediction.

Nima Shoghi, Adeesh Kolluru, John R. Kitchin, Zachary W. Ulissi, C. Lawrence Zitnick, Brandon M. Wood

CoRR, 2023

Reducing SO(3) Convolutions to SO(2) for Efficient Equivariant GNNs.

Saro Passaro, C. Lawrence Zitnick

Proceedings of the International Conference on Machine Learning, 2023

2022

GemNet-OC: Developing Graph Neural Networks for Large and Diverse Molecular Simulation Datasets.

Johannes Gasteiger, Muhammed Shuaibi, Anuroop Sriram, Stephan Günnemann, Zachary W. Ulissi, C. Lawrence Zitnick, Abhishek Das

Trans. Mach. Learn. Res., 2022

AdsorbML: Accelerating Adsorption Energy Calculations with Machine Learning.

Janice Lan, Aini Palizhati, Muhammed Shuaibi, Brandon M. Wood, Brook Wander, Abhishek Das, Matt Uyttendaele, C. Lawrence Zitnick, Zachary W. Ulissi

CoRR, 2022

The Open Catalyst 2022 (OC22) Dataset and Challenges for Oxide Electrocatalysis.

Richard Tran, Janice Lan, Muhammed Shuaibi, Siddharth Goyal, Brandon M. Wood, Abhishek Das, Javier Heras-Domingo, Adeesh Kolluru, Ammar Rizvi, Nima Shoghi, Anuroop Sriram, Zachary W. Ulissi, C. Lawrence Zitnick

CoRR, 2022

How Do Graph Networks Generalize to Large and Diverse Molecular Systems?

Johannes Gasteiger, Muhammed Shuaibi, Anuroop Sriram, Stephan Günnemann, Zachary W. Ulissi, C. Lawrence Zitnick, Abhishek Das

CoRR, 2022

Spherical Channels for Modeling Atomic Interactions.

Larry Zitnick, Abhishek Das, Adeesh Kolluru, Janice Lan, Muhammed Shuaibi, Anuroop Sriram, Zachary W. Ulissi, Brandon M. Wood

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Towards Training Billion Parameter Graph Neural Networks for Atomic Simulations.

Anuroop Sriram, Abhishek Das, Brandon M. Wood, Siddharth Goyal, C. Lawrence Zitnick

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Biological structure and function emerge from scaling unsupervised learning to 250 million protein sequences.

Alexander Rives, Joshua Meier, Tom Sercu, Siddharth Goyal, Zeming Lin, Jason Liu, Demi Guo, Myle Ott, C. Lawrence Zitnick, Jerry Ma, Rob Fergus

Proc. Natl. Acad. Sci. USA, 2021

Compositional Transformers for Scene Generation.

Drew A. Hudson, C. Lawrence Zitnick

CoRR, 2021

Rotation Invariant Graph Neural Networks using Spin Convolutions.

Muhammed Shuaibi, Adeesh Kolluru, Abhishek Das, Aditya Grover, Anuroop Sriram, Zachary W. Ulissi, C. Lawrence Zitnick

CoRR, 2021

ForceNet: A Graph Neural Network for Large-Scale Quantum Calculations.

Weihua Hu, Muhammed Shuaibi, Abhishek Das, Siddharth Goyal, Anuroop Sriram, Jure Leskovec, Devi Parikh, C. Lawrence Zitnick

CoRR, 2021

Compositional Transformers for Scene Generation.

Dor Arad Hudson, Larry Zitnick

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

The Open Catalyst Challenge 2021: Competition Report.

Abhishek Das, Muhammed Shuaibi, Aini Palizhati, Siddharth Goyal, Aditya Grover, Adeesh Kolluru, Janice Lan, Ammar Rizvi, Anuroop Sriram, Brandon M. Wood, Devi Parikh, Zachary W. Ulissi, C. Lawrence Zitnick, Guolin Ke, Shuxin Zheng, Yu Shi, Di He, Tie-Yan Liu, Chengxuan Ying, Jiacheng You, Yihan He, Rostislav Grigoriev, Ruslan Lukin, Adel Yarullin, Max Faleev

Proceedings of the NeurIPS 2021 Competitions and Demonstrations Track, 2021

Generative Adversarial Transformers.

Drew A. Hudson, Larry Zitnick

Proceedings of the 38th International Conference on Machine Learning, 2021

Creative Sketch Generation.

Songwei Ge, Vedanuj Goswami, Larry Zitnick, Devi Parikh

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

The Open Catalyst 2020 (OC20) Dataset and Community Challenges.

Lowik Chanussot, Abhishek Das, Siddharth Goyal, Thibaut Lavril, Muhammed Shuaibi, Morgane Riviere, Kevin Tran, Javier Heras-Domingo, Caleb Ho, Weihua Hu, Aini Palizhati, Anuroop Sriram, Brandon M. Wood, Junwoong Yoon, Devi Parikh, C. Lawrence Zitnick, Zachary W. Ulissi

CoRR, 2020

An Introduction to Electrocatalyst Design using Machine Learning for Renewable Energy Storage.

C. Lawrence Zitnick, Lowik Chanussot, Abhishek Das, Siddharth Goyal, Javier Heras-Domingo, Caleb Ho, Weihua Hu, Thibaut Lavril, Aini Palizhati, Morgane Riviere, Muhammed Shuaibi, Anuroop Sriram, Kevin Tran, Brandon M. Wood, Junwoong Yoon, Devi Parikh, Zachary W. Ulissi

CoRR, 2020

Advancing machine learning for MR image reconstruction with an open competition: Overview of the 2019 fastMRI challenge.

Florian Knoll, Tullie Murrell, Anuroop Sriram, Nafissa Yakubova, Jure Zbontar, Michael G. Rabbat, Aaron Defazio, Matthew J. Muckley, Daniel K. Sodickson, C. Lawrence Zitnick, Michael P. Recht

CoRR, 2020

End-to-End Variational Networks for Accelerated MRI Reconstruction.

Anuroop Sriram, Jure Zbontar, Tullie Murrell, Aaron Defazio, C. Lawrence Zitnick, Nafissa Yakubova, Florian Knoll, Patricia M. Johnson

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Exploring Crowd Co-creation Scenarios for Sketches.

Devi Parikh, C. Lawrence Zitnick

Proceedings of the Eleventh International Conference on Computational Creativity, 2020

GrappaNet: Combining Parallel Imaging With Deep Learning for Multi-Coil MRI Reconstruction.

Anuroop Sriram, Jure Zbontar, Tullie Murrell, C. Lawrence Zitnick, Aaron Defazio, Daniel K. Sodickson

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Why Build an Assistant in Minecraft?

Arthur Szlam, Jonathan Gray, Kavya Srinet, Yacine Jernite, Armand Joulin, Gabriel Synnaeve, Douwe Kiela, Haonan Yu, Zhuoyuan Chen, Siddharth Goyal, Demi Guo, Danielle Rothermel, C. Lawrence Zitnick, Jason Weston

CoRR, 2019

CraftAssist: A Framework for Dialogue-enabled Interactive Agents.

Jonathan Gray, Kavya Srinet, Yacine Jernite, Haonan Yu, Zhuoyuan Chen, Demi Guo, Siddharth Goyal, C. Lawrence Zitnick, Arthur Szlam

CoRR, 2019

ELF OpenGo: an analysis and open reimplementation of AlphaZero.

Yuandong Tian, Jerry Ma, Qucheng Gong, Shubho Sengupta, Zhuoyuan Chen, James Pinkerton, Larry Zitnick

Proceedings of the 36th International Conference on Machine Learning, 2019

Order-Aware Generative Modeling Using the 3D-Craft Dataset.

Zhuoyuan Chen, Kavya Srinet, Charles R. Qi, Haoqi Fan, Jerry Ma, Larry Zitnick, Demi Guo, Tong Xiao, Saining Xie, Xinlei Chen, Arthur Szlam, Shubham Tulsiani, Haonan Yu, Jonathan Gray

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2018

fastMRI: An Open Dataset and Benchmarks for Accelerated MRI.

Jure Zbontar, Florian Knoll, Anuroop Sriram, Matthew J. Muckley, Mary Bruno, Aaron Defazio, Marc Parente, Krzysztof J. Geras, Joe Katsnelson, Hersh Chandarana, Zizhao Zhang, Michal Drozdzal, Adriana Romero, Michael G. Rabbat, Pascal Vincent, James Pinkerton, Duo Wang, Nafissa Yakubova, Erich Owens, C. Lawrence Zitnick, Michael P. Recht, Daniel K. Sodickson, Yvonne W. Lui

CoRR, 2018

2017

VQA: Visual Question Answering - www.visualqa.org.

Aishwarya Agrawal, Jiasen Lu, Stanislaw Antol, Margaret Mitchell, C. Lawrence Zitnick, Devi Parikh, Dhruv Batra

Int. J. Comput. Vis., 2017

Human Attention in Visual Question Answering: Do Humans and Deep Networks Look at the Same Regions?

Abhishek Das, Harsh Agrawal, Larry Zitnick, Devi Parikh, Dhruv Batra

Comput. Vis. Image Underst., 2017

ELF: An Extensive, Lightweight and Flexible Research Platform for Real-time Strategy Games.

Yuandong Tian, Qucheng Gong, Wenling Shang, Yuxin Wu, C. Lawrence Zitnick

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Learn2Smile: Learning non-verbal interaction through observation.

Will Feng, Anitha Kannan, Georgia Gkioxari, C. Lawrence Zitnick

Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2017

Inferring and Executing Programs for Visual Reasoning.

Justin Johnson, Bharath Hariharan, Laurens van der Maaten, Judy Hoffman, Li Fei-Fei, C. Lawrence Zitnick, Ross B. Girshick

Proceedings of the IEEE International Conference on Computer Vision, 2017

CLEVR: A Diagnostic Dataset for Compositional Language and Elementary Visual Reasoning.

Justin Johnson, Bharath Hariharan, Laurens van der Maaten, Li Fei-Fei, C. Lawrence Zitnick, Ross B. Girshick

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016

A Memory Efficient Discriminative Approach for Location-Aided Recognition.

Sudipta N. Sinha, Varsha Hedau, C. Lawrence Zitnick, Richard Szeliski

Proceedings of the Deep Learning and Convolutional Neural Networks for Medical Image Computing, 2016

Adopting Abstract Images for Semantic Scene Understanding.

C. Lawrence Zitnick, Ramakrishna Vedantam, Devi Parikh

IEEE Trans. Pattern Anal. Mach. Intell., 2016

Generating Natural Questions About an Image.

Nasrin Mostafazadeh, Ishan Misra, Jacob Devlin, Larry Zitnick, Margaret Mitchell, Xiaodong He, Lucy Vanderwende

CoRR, 2016

Unsupervised Learning using Sequential Verification for Action Recognition.

Ishan Misra, C. Lawrence Zitnick, Martial Hebert

CoRR, 2016

Reducing Overfitting in Deep Networks by Decorrelating Representations.

Michael Cogswell, Faruk Ahmed, Ross B. Girshick, Larry Zitnick, Dhruv Batra

Proceedings of the 4th International Conference on Learning Representations, 2016

Measuring Machine Intelligence Through Visual Question Answering.

C. Lawrence Zitnick, Aishwarya Agrawal, Stanislaw Antol, Margaret Mitchell, Dhruv Batra, Devi Parikh

AI Mag., 2016

Visual Storytelling.

Ting-Hao (Kenneth) Huang, Francis Ferraro, Nasrin Mostafazadeh, Ishan Misra, Aishwarya Agrawal, Jacob Devlin, Ross B. Girshick, Xiaodong He, Pushmeet Kohli, Dhruv Batra, C. Lawrence Zitnick, Devi Parikh, Lucy Vanderwende, Michel Galley, Margaret Mitchell

Proceedings of the NAACL HLT 2016, 2016

Shuffle and Learn: Unsupervised Learning Using Temporal Order Verification.

Ishan Misra, C. Lawrence Zitnick, Martial Hebert

Proceedings of the Computer Vision - ECCV 2016, 2016

Seeing through the Human Reporting Bias: Visual Classifiers from Noisy Human-Centric Labels.

Ishan Misra, C. Lawrence Zitnick, Margaret Mitchell, Ross B. Girshick

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

We are Humor Beings: Understanding and Predicting Visual Humor.

Arjun Chandrasekaran, Ashwin K. Vijayakumar, Stanislaw Antol, Mohit Bansal, Dhruv Batra, C. Lawrence Zitnick, Devi Parikh

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Inside-Outside Net: Detecting Objects in Context with Skip Pooling and Recurrent Neural Networks.

Sean Bell, C. Lawrence Zitnick, Kavita Bala, Ross B. Girshick

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015

Fast Edge Detection Using Structured Forests.

Piotr Dollár, C. Lawrence Zitnick

IEEE Trans. Pattern Anal. Mach. Intell., 2015

Learning Visual Classifiers using Human-centric Annotations.

Ishan Misra, C. Lawrence Zitnick, Margaret Mitchell, Ross B. Girshick

CoRR, 2015

Exploring Nearest Neighbor Approaches for Image Captioning.

Jacob Devlin, Saurabh Gupta, Ross B. Girshick, Margaret Mitchell, C. Lawrence Zitnick

CoRR, 2015

Microsoft COCO Captions: Data Collection and Evaluation Server.

Xinlei Chen, Hao Fang, Tsung-Yi Lin, Ramakrishna Vedantam, Saurabh Gupta, Piotr Dollár, C. Lawrence Zitnick

CoRR, 2015

Visalogy: Answering Visual Analogy Questions.

Fereshteh Sadeghi, C. Lawrence Zitnick, Ali Farhadi

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Learning Common Sense through Visual Abstraction.

Ramakrishna Vedantam, Xiao Lin, Tanmay Batra, C. Lawrence Zitnick, Devi Parikh

Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

VQA: Visual Question Answering.

Stanislaw Antol, Aishwarya Agrawal, Jiasen Lu, Margaret Mitchell, Dhruv Batra, C. Lawrence Zitnick, Devi Parikh

Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

CIDEr: Consensus-based image description evaluation.

Ramakrishna Vedantam, C. Lawrence Zitnick, Devi Parikh

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

From captions to visual concepts and back.

Hao Fang, Saurabh Gupta, Forrest N. Iandola, Rupesh Kumar Srivastava, Li Deng, Piotr Dollár, Jianfeng Gao, Xiaodong He, Margaret Mitchell, John C. Platt, C. Lawrence Zitnick, Geoffrey Zweig

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

Mind's eye: A recurrent visual representation for image caption generation.

Xinlei Chen, C. Lawrence Zitnick

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2014

Collecting Image Description Datasets using Crowdsourcing.

Ramakrishna Vedantam, C. Lawrence Zitnick, Devi Parikh

CoRR, 2014

Microsoft COCO: Common Objects in Context.

Tsung-Yi Lin, Michael Maire, Serge J. Belongie, Lubomir D. Bourdev, Ross B. Girshick, James Hays, Pietro Perona, Deva Ramanan, Piotr Dollár, C. Lawrence Zitnick

CoRR, 2014

Learning a Recurrent Visual Representation for Image Caption Generation.

Xinlei Chen, C. Lawrence Zitnick

CoRR, 2014

Car make and model recognition using 3D curve alignment.

Edward Hsiao, Sudipta N. Sinha, Krishnan Ramnath, Simon Baker, C. Lawrence Zitnick, Richard Szeliski

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2014

Edge Boxes: Locating Object Proposals from Edges.

C. Lawrence Zitnick, Piotr Dollár

Proceedings of the Computer Vision - ECCV 2014, 2014

Microsoft COCO: Common Objects in Context.

Tsung-Yi Lin, Michael Maire, Serge J. Belongie, James Hays, Pietro Perona, Deva Ramanan, Piotr Dollár, C. Lawrence Zitnick

Proceedings of the Computer Vision - ECCV 2014, 2014

Zero-Shot Learning via Visual Abstraction.

Stanislaw Antol, C. Lawrence Zitnick, Devi Parikh

Proceedings of the Computer Vision - ECCV 2014, 2014

Detecting Objects Using Deformation Dictionaries.

Bharath Hariharan, C. Lawrence Zitnick, Piotr Dollár

Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

Predicting Object Dynamics in Scenes.

David F. Fouhey, C. Lawrence Zitnick

Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

2013

Handwriting beautification using token means.

C. Lawrence Zitnick

ACM Trans. Graph., 2013

Which Edges Matter?

Aayush Bansal, Adarsh Kowdle, Devi Parikh, Andrew C. Gallagher, Larry Zitnick

Proceedings of the 2013 IEEE International Conference on Computer Vision Workshops, 2013

Learning the Visual Interpretation of Sentences.

C. Lawrence Zitnick, Devi Parikh, Lucy Vanderwende

Proceedings of the IEEE International Conference on Computer Vision, 2013

Structured Forests for Fast Edge Detection.

Piotr Dollár, C. Lawrence Zitnick

Proceedings of the IEEE International Conference on Computer Vision, 2013

Bringing Semantics into Focus Using Visual Abstraction.

C. Lawrence Zitnick, Devi Parikh

Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

Exploring Weak Stabilization for Motion Feature Extraction.

Dennis Park, C. Lawrence Zitnick, Deva Ramanan, Piotr Dollár

Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

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

Joseph J. Lim, C. Lawrence Zitnick, Piotr Dollár

Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

2012

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

Devi Parikh, C. Lawrence Zitnick, Tsuhan Chen

IEEE Trans. Pattern Anal. Mach. Intell., 2012

Image Restoration by Matching Gradient Distributions.

Taeg Sang Cho, Charles Lawrence Zitnick, Neel Joshi, Sing Bing Kang, Richard Szeliski, William T. Freeman

IEEE Trans. Pattern Anal. Mach. Intell., 2012

Exploring the Spatial Hierarchy of Mixture Models for Human Pose Estimation.

Yuandong Tian, C. Lawrence Zitnick, Srinivasa G. Narasimhan

Proceedings of the Computer Vision - ECCV 2012, 2012

A Memory Efficient Discriminative Approach for Location Aided Recognition.

Varsha Hedau, Sudipta N. Sinha, C. Lawrence Zitnick, Richard Szeliski

Proceedings of the Computer Vision - ECCV 2012. Workshops and Demonstrations, 2012

The role of image understanding in contour detection.

C. Lawrence Zitnick, Devi Parikh

Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

Seeing through the blur.

Hossein Mobahi, C. Lawrence Zitnick, Yi Ma

Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

2011

ShadowDraw: real-time user guidance for freehand drawing.

Yong Jae Lee, C. Lawrence Zitnick, Michael F. Cohen

ACM Trans. Graph., 2011

A Viewer-Centric Editor for 3D Movies.

Sanjeev J. Koppal, C. Lawrence Zitnick, Michael F. Cohen, Sing Bing Kang, Bryan Ressler, Alex Colburn

IEEE Computer Graphics and Applications, 2011

Edge foci interest points.

C. Lawrence Zitnick, Krishnan Ramnath

Proceedings of the IEEE International Conference on Computer Vision, 2011

Finding the weakest link in person detectors.

Devi Parikh, C. Lawrence Zitnick

Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011

2010

Image deblurring using inertial measurement sensors.

Neel Joshi, Sing Bing Kang, C. Lawrence Zitnick, Richard Szeliski

ACM Trans. Graph., 2010

GradientShop: A gradient-domain optimization framework for image and video filtering.

Pravin Bhat, C. Lawrence Zitnick, Michael F. Cohen, Brian Curless

ACM Trans. Graph., 2010

Binary Coherent Edge Descriptors.

C. Lawrence Zitnick

Proceedings of the Computer Vision, 2010

Single Image Deblurring Using Motion Density Functions.

Ankit Gupta, Neel Joshi, C. Lawrence Zitnick, Michael F. Cohen, Brian Curless

Proceedings of the Computer Vision, 2010

The role of features, algorithms and data in visual recognition.

Devi Parikh, C. Lawrence Zitnick

Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010

A content-aware image prior.

Taeg Sang Cho, Neel Joshi, C. Lawrence Zitnick, Sing Bing Kang, Richard Szeliski, William T. Freeman

Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010

2009

Unsupervised learning of hierarchical spatial structures in images.

Devi Parikh, C. Lawrence Zitnick, Tsuhan Chen

Proceedings of the 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2009), 2009

Image deblurring and denoising using color priors.

Neel Joshi, C. Lawrence Zitnick, Richard Szeliski, David J. Kriegman

Proceedings of the 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2009), 2009

Clustering Videos by Location.

Florian Schroff, C. Lawrence Zitnick, Simon Baker

Proceedings of the British Machine Vision Conference, 2009

2008

Automatic Estimation and Removal of Noise from a Single Image.

Ce Liu, Richard Szeliski, Sing Bing Kang, C. Lawrence Zitnick, William T. Freeman

IEEE Trans. Pattern Anal. Mach. Intell., 2008

Determining Patch Saliency Using Low-Level Context.

Devi Parikh, C. Lawrence Zitnick, Tsuhan Chen

Proceedings of the Computer Vision, 2008

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

Pravin Bhat, Brian Curless, Michael F. Cohen, C. Lawrence Zitnick

Proceedings of the Computer Vision, 2008

Stereo reconstruction with mixed pixels using adaptive over-segmentation.

Yuichi Taguchi, Bennett Wilburn, C. Lawrence Zitnick

Proceedings of the 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), 2008

Internet video category recognition.

Grant Schindler, Larry Zitnick, Matthew A. Brown

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2008

From appearance to context-based recognition: Dense labeling in small images.

Devi Parikh, C. Lawrence Zitnick, Tsuhan Chen

Proceedings of the 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), 2008

2007

Stereo for Image-Based Rendering using Image Over-Segmentation.

C. Lawrence Zitnick, Sing Bing Kang

Int. J. Comput. Vis., 2007

Using Photographs to Enhance Videos of a Static Scene.

Pravin Bhat, C. Lawrence Zitnick, Noah Snavely, Aseem Agarwala, Maneesh Agrawala, Michael F. Cohen, Brian Curless, Sing Bing Kang

Proceedings of the Eurographics Symposium on Rendering Techniques, Grenoble, France, 2007, 2007

2006

Outlook & discussion.

Larry Zitnick

Proceedings of the International Conference on Computer Graphics and Interactive Techniques, 2006

High-quality video view interpolation.

Larry Zitnick

Proceedings of the International Conference on Computer Graphics and Interactive Techniques, 2006

Video and Image Bayesian Demosaicing with a Two Color Image Prior.

Eric P. Bennett, Matthew Uyttendaele, C. Lawrence Zitnick, Richard Szeliski, Sing Bing Kang

Proceedings of the Computer Vision, 2006

Reconstructing Occluded Surfaces Using Synthetic Apertures: Stereo, Focus and Robust Measures.

Vaibhav Vaish, Marc Levoy, Richard Szeliski, C. Lawrence Zitnick, Sing Bing Kang

Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2006), 2006

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

Nebojsa Jojic, John M. Winn, C. Lawrence Zitnick

Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2006), 2006

Finding People in Repeated Shots of the Same Scene.

Josef Sivic, C. Lawrence Zitnick, Richard Szeliski

Proceedings of the British Machine Vision Conference 2006, 2006

2005

Stylizing 2.5-D video.

Noah Snavely, Larry Zitnick, Sing Bing Kang, Michael F. Cohen

Proceedings of the International Conference on Computer Graphics and Interactive Techniques, 2005

Consistent Segmentation for Optical Flow Estimation.

C. Lawrence Zitnick, Nebojsa Jojic, Sing Bing Kang

Proceedings of the 10th IEEE International Conference on Computer Vision (ICCV 2005), 2005

2004

High-quality video view interpolation using a layered representation.

C. Lawrence Zitnick, Sing Bing Kang, Matthew Uyttendaele, Simon A. J. Winder, Richard Szeliski

ACM Trans. Graph., 2004

Maximum Entropy for Collaborative Filtering.

C. Lawrence Zitnick, Takeo Kanade

Proceedings of the UAI '04, 2004

Massive arabesque.

C. Lawrence Zitnick

Proceedings of the International Conference on Computer Graphics and Interactive Techniques, 2004

2000

A Cooperative Algorithm for Stereo Matching and Occlusion Detection.

C. Lawrence Zitnick, Takeo Kanade

IEEE Trans. Pattern Anal. Mach. Intell., 2000

Gaze Awareness for Video-Conferencing: A Software Approach.

Jim Gemmell, Kentaro Toyama, C. Lawrence Zitnick, Thomas Kang, Steven M. Seitz

IEEE Multim., 2000

1995

A Multibaseline Stereo System with Active Illumination and Real-Time Image Acquisition.

Sing Bing Kang, Jon A. Webb, C. Lawrence Zitnick, Takeo Kanade

Proceedings of the Procedings of the Fifth International Conference on Computer Vision (ICCV 95), 1995