C. Lawrence Zitnick

127 papers A* 35A 5C 1Journal 64Unranked 21

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	Learning Smooth and Expressive Interatomic Potentials for Physical Property Prediction. ICML Xiang Fu, Brandon M. Wood, Luis Barroso-Luque, Daniel S. Levine, Meng Gao, Misko Dzamba, C. Lawrence Zitnick
2025	J	`jnl`	Learning Smooth and Expressive Interatomic Potentials for Physical Property Prediction. CoRR Xiang Fu, Brandon M. Wood, Luis Barroso-Luque, Daniel S. Levine, Meng Gao, Misko Dzamba, C. Lawrence Zitnick
2025	J	`jnl`	UMA: A Family of Universal Models for Atoms. CoRR Brandon M. Wood, Misko Dzamba, Xiang Fu, Meng Gao, Muhammed Shuaibi, Luis Barroso-Luque, Kareem Abdelmaqsoud, Vahe Gharakhanyan, John R. Kitchin, Daniel S. Levine, Kyle Michel, Anuroop Sriram, Taco Cohen, Abhishek Das, Ammar Rizvi, Sushree Jagriti Sahoo, Zachary W. Ulissi, C. Lawrence Zitnick
2024	A*	`conf`	Fine-Tuned Language Models Generate Stable Inorganic Materials as Text. ICLR Nate Gruver, Anuroop Sriram, Andrea Madotto, Andrew Gordon Wilson, C. Lawrence Zitnick, Zachary W. Ulissi
2024	J	`jnl`	Fine-Tuned Language Models Generate Stable Inorganic Materials as Text. CoRR Nate Gruver, Anuroop Sriram, Andrea Madotto, Andrew Gordon Wilson, C. Lawrence Zitnick, Zachary W. Ulissi
2024	A*	`conf`	From Molecules to Materials: Pre-training Large Generalizable Models for Atomic Property Prediction. ICLR Nima Shoghi, Adeesh Kolluru, John R. Kitchin, Zachary W. Ulissi, C. Lawrence Zitnick, Brandon M. Wood
2024	J	`jnl`	Open Materials 2024 (OMat24) Inorganic Materials Dataset and Models. CoRR Luis Barroso-Luque, Muhammed Shuaibi, Xiang Fu, Brandon M. Wood, Misko Dzamba, Meng Gao, Ammar Rizvi, C. Lawrence Zitnick, Zachary W. Ulissi
2023	J	`jnl`	From Molecules to Materials: Pre-training Large Generalizable Models for Atomic Property Prediction. CoRR Nima Shoghi, Adeesh Kolluru, John R. Kitchin, Zachary W. Ulissi, C. Lawrence Zitnick, Brandon M. Wood
2023	A*	`conf`	Reducing SO(3) Convolutions to SO(2) for Efficient Equivariant GNNs. ICML Saro Passaro, C. Lawrence Zitnick
2023	J	`jnl`	Reducing SO(3) Convolutions to SO(2) for Efficient Equivariant GNNs. CoRR Saro Passaro, C. Lawrence Zitnick
2022	J	`jnl`	AdsorbML: Accelerating Adsorption Energy Calculations with Machine Learning. CoRR Janice Lan, Aini Palizhati, Muhammed Shuaibi, Brandon M. Wood, Brook Wander, Abhishek Das, Matt Uyttendaele, C. Lawrence Zitnick, Zachary W. Ulissi
2022	J	`jnl`	GemNet-OC: Developing Graph Neural Networks for Large and Diverse Molecular Simulation Datasets. Trans. Mach. Learn. Res. Johannes Gasteiger, Muhammed Shuaibi, Anuroop Sriram, Stephan Günnemann, Zachary W. Ulissi, C. Lawrence Zitnick, Abhishek Das
2022	J	`jnl`	How Do Graph Networks Generalize to Large and Diverse Molecular Systems? CoRR Johannes Gasteiger, Muhammed Shuaibi, Anuroop Sriram, Stephan Günnemann, Zachary W. Ulissi, C. Lawrence Zitnick, Abhishek Das
2022	J	`jnl`	Spherical Channels for Modeling Atomic Interactions. CoRR C. Lawrence Zitnick, Abhishek Das, Adeesh Kolluru, Janice Lan, Muhammed Shuaibi, Anuroop Sriram, Zachary W. Ulissi, Brandon M. Wood
2022	J	`jnl`	The Open Catalyst 2022 (OC22) Dataset and Challenges for Oxide Electrocatalysis. CoRR 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
2022	A*	`conf`	Towards Training Billion Parameter Graph Neural Networks for Atomic Simulations. ICLR Anuroop Sriram, Abhishek Das, Brandon M. Wood, Siddharth Goyal, C. Lawrence Zitnick
2022	J	`jnl`	Towards Training Billion Parameter Graph Neural Networks for Atomic Simulations. CoRR Anuroop Sriram, Abhishek Das, Brandon M. Wood, Siddharth Goyal, C. Lawrence Zitnick
2021	J	`jnl`	Biological structure and function emerge from scaling unsupervised learning to 250 million protein sequences. Proc. Natl. Acad. Sci. USA Alexander Rives, Joshua Meier, Tom Sercu, Siddharth Goyal, Zeming Lin, Jason Liu, Demi Guo, Myle Ott, C. Lawrence Zitnick, Jerry Ma, Rob Fergus
2021	J	`jnl`	Compositional Transformers for Scene Generation. CoRR Drew A. Hudson, C. Lawrence Zitnick
2021	J	`jnl`	ForceNet: A Graph Neural Network for Large-Scale Quantum Calculations. CoRR Weihua Hu, Muhammed Shuaibi, Abhishek Das, Siddharth Goyal, Anuroop Sriram, Jure Leskovec, Devi Parikh, C. Lawrence Zitnick
2021	J	`jnl`	Generative Adversarial Transformers. CoRR Drew A. Hudson, C. Lawrence Zitnick
2021	J	`jnl`	Rotation Invariant Graph Neural Networks using Spin Convolutions. CoRR Muhammed Shuaibi, Adeesh Kolluru, Abhishek Das, Aditya Grover, Anuroop Sriram, Zachary W. Ulissi, C. Lawrence Zitnick
2021	—	`conf`	The Open Catalyst Challenge 2021: Competition Report. NeurIPS (Competition and Demos) 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
2020	J	`jnl`	Advancing machine learning for MR image reconstruction with an open competition: Overview of the 2019 fastMRI challenge. CoRR 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
2020	J	`jnl`	An Introduction to Electrocatalyst Design using Machine Learning for Renewable Energy Storage. CoRR 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
2020	J	`jnl`	Creative Sketch Generation. CoRR Songwei Ge, Vedanuj Goswami, C. Lawrence Zitnick, Devi Parikh
2020	—	`conf`	End-to-End Variational Networks for Accelerated MRI Reconstruction. MICCAI (2) Anuroop Sriram, Jure Zbontar, Tullie Murrell, Aaron Defazio, C. Lawrence Zitnick, Nafissa Yakubova, Florian Knoll, Patricia M. Johnson
2020	J	`jnl`	End-to-End Variational Networks for Accelerated MRI Reconstruction. CoRR Anuroop Sriram, Jure Zbontar, Tullie Murrell, Aaron Defazio, C. Lawrence Zitnick, Nafissa Yakubova, Florian Knoll, Patricia M. Johnson
2020	C	`conf`	Exploring Crowd Co-creation Scenarios for Sketches. ICCC Devi Parikh, C. Lawrence Zitnick
2020	J	`jnl`	Exploring Crowd Co-creation Scenarios for Sketches. CoRR Devi Parikh, C. Lawrence Zitnick
2020	A*	`conf`	GrappaNet: Combining Parallel Imaging With Deep Learning for Multi-Coil MRI Reconstruction. CVPR Anuroop Sriram, Jure Zbontar, Tullie Murrell, C. Lawrence Zitnick, Aaron Defazio, Daniel K. Sodickson
2020	J	`jnl`	The Open Catalyst 2020 (OC20) Dataset and Community Challenges. CoRR 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
2019	J	`jnl`	CraftAssist: A Framework for Dialogue-enabled Interactive Agents. CoRR Jonathan Gray, Kavya Srinet, Yacine Jernite, Haonan Yu, Zhuoyuan Chen, Demi Guo, Siddharth Goyal, C. Lawrence Zitnick, Arthur Szlam
2019	J	`jnl`	ELF OpenGo: An Analysis and Open Reimplementation of AlphaZero. CoRR Yuandong Tian, Jerry Ma, Qucheng Gong, Shubho Sengupta, Zhuoyuan Chen, James Pinkerton, C. Lawrence Zitnick
2019	J	`jnl`	GrappaNet: Combining Parallel Imaging with Deep Learning for Multi-Coil MRI Reconstruction. CoRR Anuroop Sriram, Jure Zbontar, Tullie Murrell, C. Lawrence Zitnick, Aaron Defazio, Daniel K. Sodickson
2019	J	`jnl`	Why Build an Assistant in Minecraft? CoRR 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
2018	J	`jnl`	fastMRI: An Open Dataset and Benchmarks for Accelerated MRI. CoRR 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
2017	A*	`conf`	CLEVR: A Diagnostic Dataset for Compositional Language and Elementary Visual Reasoning. CVPR Justin Johnson, Bharath Hariharan, Laurens van der Maaten, Li Fei-Fei, C. Lawrence Zitnick, Ross B. Girshick
2017	—	`conf`	ELF: An Extensive, Lightweight and Flexible Research Platform for Real-time Strategy Games. NIPS Yuandong Tian, Qucheng Gong, Wenling Shang, Yuxin Wu, C. Lawrence Zitnick
2017	A*	`conf`	Inferring and Executing Programs for Visual Reasoning. ICCV Justin Johnson, Bharath Hariharan, Laurens van der Maaten, Judy Hoffman, Li Fei-Fei, C. Lawrence Zitnick, Ross B. Girshick
2017	J	`jnl`	Inferring and Executing Programs for Visual Reasoning. CoRR Justin Johnson, Bharath Hariharan, Laurens van der Maaten, Judy Hoffman, Li Fei-Fei, C. Lawrence Zitnick, Ross B. Girshick
2017	A	`conf`	Learn2Smile: Learning non-verbal interaction through observation. IROS Will Feng, Anitha Kannan, Georgia Gkioxari, C. Lawrence Zitnick
2017	J	`jnl`	VQA: Visual Question Answering - www.visualqa.org. Int. J. Comput. Vis. Aishwarya Agrawal, Jiasen Lu, Stanislaw Antol, Margaret Mitchell, C. Lawrence Zitnick, Devi Parikh, Dhruv Batra
2016	—	`ch.`	A Memory Efficient Discriminative Approach for Location-Aided Recognition. Large-Scale Visual Geo-Localization Sudipta N. Sinha, Varsha Hedau, C. Lawrence Zitnick, Richard Szeliski
2016	J	`jnl`	Adopting Abstract Images for Semantic Scene Understanding. IEEE Trans. Pattern Anal. Mach. Intell. C. Lawrence Zitnick, Ramakrishna Vedantam, Devi Parikh
2016	J	`jnl`	CLEVR: A Diagnostic Dataset for Compositional Language and Elementary Visual Reasoning. CoRR Justin Johnson, Bharath Hariharan, Laurens van der Maaten, Li Fei-Fei, C. Lawrence Zitnick, Ross B. Girshick
2016	J	`jnl`	Human Attention in Visual Question Answering: Do Humans and Deep Networks Look at the Same Regions? CoRR Abhishek Das, Harsh Agrawal, C. Lawrence Zitnick, Devi Parikh, Dhruv Batra
2016	J	`jnl`	Human Attention in Visual Question Answering: Do Humans and Deep Networks Look at the Same Regions? CoRR Abhishek Das, Harsh Agrawal, C. Lawrence Zitnick, Devi Parikh, Dhruv Batra
2016	A*	`conf`	Inside-Outside Net: Detecting Objects in Context with Skip Pooling and Recurrent Neural Networks. CVPR Sean Bell, C. Lawrence Zitnick, Kavita Bala, Ross B. Girshick
2016	J	`jnl`	Measuring Machine Intelligence Through Visual Question Answering. AI Mag. C. Lawrence Zitnick, Aishwarya Agrawal, Stanislaw Antol, Margaret Mitchell, Dhruv Batra, Devi Parikh
2016	J	`jnl`	Measuring Machine Intelligence Through Visual Question Answering. CoRR C. Lawrence Zitnick, Aishwarya Agrawal, Stanislaw Antol, Margaret Mitchell, Dhruv Batra, Devi Parikh
2016	A*	`conf`	Seeing through the Human Reporting Bias: Visual Classifiers from Noisy Human-Centric Labels. CVPR Ishan Misra, C. Lawrence Zitnick, Margaret Mitchell, Ross B. Girshick
2016	—	`conf`	Shuffle and Learn: Unsupervised Learning Using Temporal Order Verification. ECCV (1) Ishan Misra, C. Lawrence Zitnick, Martial Hebert
2016	J	`jnl`	Unsupervised Learning using Sequential Verification for Action Recognition. CoRR Ishan Misra, C. Lawrence Zitnick, Martial Hebert
2016	—	`conf`	Visual Storytelling. HLT-NAACL 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
2016	J	`jnl`	Visual Storytelling. CoRR 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
2016	A*	`conf`	We are Humor Beings: Understanding and Predicting Visual Humor. CVPR Arjun Chandrasekaran, Ashwin K. Vijayakumar, Stanislaw Antol, Mohit Bansal, Dhruv Batra, C. Lawrence Zitnick, Devi Parikh
2015	A*	`conf`	CIDEr: Consensus-based image description evaluation. CVPR Ramakrishna Vedantam, C. Lawrence Zitnick, Devi Parikh
2015	J	`jnl`	Exploring Nearest Neighbor Approaches for Image Captioning. CoRR Jacob Devlin, Saurabh Gupta, Ross B. Girshick, Margaret Mitchell, C. Lawrence Zitnick
2015	J	`jnl`	Fast Edge Detection Using Structured Forests. IEEE Trans. Pattern Anal. Mach. Intell. Piotr Dollár, C. Lawrence Zitnick
2015	A*	`conf`	From captions to visual concepts and back. CVPR 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
2015	J	`jnl`	Inside-Outside Net: Detecting Objects in Context with Skip Pooling and Recurrent Neural Networks. CoRR Sean Bell, C. Lawrence Zitnick, Kavita Bala, Ross B. Girshick
2015	A*	`conf`	Learning Common Sense through Visual Abstraction. ICCV Ramakrishna Vedantam, Xiao Lin, Tanmay Batra, C. Lawrence Zitnick, Devi Parikh
2015	J	`jnl`	Learning Visual Classifiers using Human-centric Annotations. CoRR Ishan Misra, C. Lawrence Zitnick, Margaret Mitchell, Ross B. Girshick
2015	J	`jnl`	Microsoft COCO Captions: Data Collection and Evaluation Server. CoRR Xinlei Chen, Hao Fang, Tsung-Yi Lin, Ramakrishna Vedantam, Saurabh Gupta, Piotr Dollár, C. Lawrence Zitnick
2015	A*	`conf`	Mind's eye: A recurrent visual representation for image caption generation. CVPR Xinlei Chen, C. Lawrence Zitnick
2015	J	`jnl`	VISALOGY: Answering Visual Analogy Questions. CoRR Fereshteh Sadeghi, C. Lawrence Zitnick, Ali Farhadi
2015	A*	`conf`	VQA: Visual Question Answering. ICCV Stanislaw Antol, Aishwarya Agrawal, Jiasen Lu, Margaret Mitchell, Dhruv Batra, C. Lawrence Zitnick, Devi Parikh
2015	J	`jnl`	VQA: Visual Question Answering. CoRR Stanislaw Antol, Aishwarya Agrawal, Jiasen Lu, Margaret Mitchell, Dhruv Batra, C. Lawrence Zitnick, Devi Parikh
2015	—	`conf`	Visalogy: Answering Visual Analogy Questions. NIPS Fereshteh Sadeghi, C. Lawrence Zitnick, Ali Farhadi
2015	J	`jnl`	We Are Humor Beings: Understanding and Predicting Visual Humor. CoRR Arjun Chandrasekaran, Ashwin K. Vijayakumar, Stanislaw Antol, Mohit Bansal, Dhruv Batra, C. Lawrence Zitnick, Devi Parikh
2014	J	`jnl`	CIDEr: Consensus-based Image Description Evaluation. CoRR Ramakrishna Vedantam, C. Lawrence Zitnick, Devi Parikh
2014	A	`conf`	Car make and model recognition using 3D curve alignment. WACV Edward Hsiao, Sudipta N. Sinha, Krishnan Ramnath, Simon Baker, C. Lawrence Zitnick, Richard Szeliski
2014	J	`jnl`	Collecting Image Description Datasets using Crowdsourcing. CoRR Ramakrishna Vedantam, C. Lawrence Zitnick, Devi Parikh
2014	A*	`conf`	Detecting Objects Using Deformation Dictionaries. CVPR Bharath Hariharan, C. Lawrence Zitnick, Piotr Dollár
2014	—	`conf`	Edge Boxes: Locating Object Proposals from Edges. ECCV (5) C. Lawrence Zitnick, Piotr Dollár
2014	J	`jnl`	Fast Edge Detection Using Structured Forests. CoRR Piotr Dollár, C. Lawrence Zitnick
2014	J	`jnl`	From Captions to Visual Concepts and Back. CoRR 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
2014	J	`jnl`	Learning a Recurrent Visual Representation for Image Caption Generation. CoRR Xinlei Chen, C. Lawrence Zitnick
2014	—	`conf`	Microsoft COCO: Common Objects in Context. ECCV (5) Tsung-Yi Lin, Michael Maire, Serge J. Belongie, James Hays, Pietro Perona, Deva Ramanan, Piotr Dollár, C. Lawrence Zitnick
2014	J	`jnl`	Microsoft COCO: Common Objects in Context. CoRR 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
2014	A*	`conf`	Predicting Object Dynamics in Scenes. CVPR David F. Fouhey, C. Lawrence Zitnick
2014	—	`conf`	Zero-Shot Learning via Visual Abstraction. ECCV (4) Stanislaw Antol, C. Lawrence Zitnick, Devi Parikh
2013	A*	`conf`	Bringing Semantics into Focus Using Visual Abstraction. CVPR C. Lawrence Zitnick, Devi Parikh
2013	A*	`conf`	Exploring Weak Stabilization for Motion Feature Extraction. CVPR Dennis Park, C. Lawrence Zitnick, Deva Ramanan, Piotr Dollár
2013	J	`jnl`	Handwriting beautification using token means. ACM Trans. Graph. C. Lawrence Zitnick
2013	A*	`conf`	Learning the Visual Interpretation of Sentences. ICCV C. Lawrence Zitnick, Devi Parikh, Lucy Vanderwende
2013	A*	`conf`	Sketch Tokens: A Learned Mid-level Representation for Contour and Object Detection. CVPR Joseph J. Lim, C. Lawrence Zitnick, Piotr Dollár
2013	A*	`conf`	Structured Forests for Fast Edge Detection. ICCV Piotr Dollár, C. Lawrence Zitnick
2012	—	`conf`	A Memory Efficient Discriminative Approach for Location Aided Recognition. ECCV Workshops (1) Varsha Hedau, Sudipta N. Sinha, C. Lawrence Zitnick, Richard Szeliski
2012	J	`jnl`	Exploring Tiny Images: The Roles of Appearance and Contextual Information for Machine and Human Object Recognition. IEEE Trans. Pattern Anal. Mach. Intell. Devi Parikh, C. Lawrence Zitnick, Tsuhan Chen
2012	—	`conf`	Exploring the Spatial Hierarchy of Mixture Models for Human Pose Estimation. ECCV (5) Yuandong Tian, C. Lawrence Zitnick, Srinivasa G. Narasimhan
2012	J	`jnl`	Maximum Entropy for Collaborative Filtering CoRR C. Lawrence Zitnick, Takeo Kanade
2012	A*	`conf`	Seeing through the blur. CVPR Hossein Mobahi, C. Lawrence Zitnick, Yi Ma
2012	A*	`conf`	The role of image understanding in contour detection. CVPR C. Lawrence Zitnick, Devi Parikh
2011	J	`jnl`	A Viewer-Centric Editor for 3D Movies. IEEE Computer Graphics and Applications Sanjeev J. Koppal, C. Lawrence Zitnick, Michael F. Cohen, Sing Bing Kang, Bryan Ressler, Alex Colburn
2011	A*	`conf`	Edge foci interest points. ICCV C. Lawrence Zitnick, Krishnan Ramnath
2011	A*	`conf`	Finding the weakest link in person detectors. CVPR Devi Parikh, C. Lawrence Zitnick
2011	J	`jnl`	ShadowDraw: real-time user guidance for freehand drawing. ACM Trans. Graph. Yong Jae Lee, C. Lawrence Zitnick, Michael F. Cohen
2010	A*	`conf`	A content-aware image prior. CVPR Taeg Sang Cho, Neel Joshi, C. Lawrence Zitnick, Sing Bing Kang, Richard Szeliski, William T. Freeman
2010	—	`conf`	Binary Coherent Edge Descriptors. ECCV (2) C. Lawrence Zitnick
2010	J	`jnl`	GradientShop: A gradient-domain optimization framework for image and video filtering. ACM Trans. Graph. Pravin Bhat, C. Lawrence Zitnick, Michael F. Cohen, Brian Curless
2010	J	`jnl`	Image deblurring using inertial measurement sensors. ACM Trans. Graph. Neel Joshi, Sing Bing Kang, C. Lawrence Zitnick, Richard Szeliski
2010	—	`conf`	Single Image Deblurring Using Motion Density Functions. ECCV (1) Ankit Gupta, Neel Joshi, C. Lawrence Zitnick, Michael F. Cohen, Brian Curless
2010	A*	`conf`	The role of features, algorithms and data in visual recognition. CVPR Devi Parikh, C. Lawrence Zitnick
2009	A	`conf`	Clustering Videos by Location. BMVC Florian Schroff, C. Lawrence Zitnick, Simon Baker
2009	A*	`conf`	Image deblurring and denoising using color priors. CVPR Neel Joshi, C. Lawrence Zitnick, Richard Szeliski, David J. Kriegman
2009	A*	`conf`	Unsupervised learning of hierarchical spatial structures in images. CVPR Devi Parikh, C. Lawrence Zitnick, Tsuhan Chen
2008	J	`jnl`	Automatic Estimation and Removal of Noise from a Single Image. IEEE Trans. Pattern Anal. Mach. Intell. Ce Liu, Richard Szeliski, Sing Bing Kang, C. Lawrence Zitnick, William T. Freeman
2008	—	`conf`	Determining Patch Saliency Using Low-Level Context. ECCV (2) Devi Parikh, C. Lawrence Zitnick, Tsuhan Chen
2008	—	`conf`	Fourier Analysis of the 2D Screened Poisson Equation for Gradient Domain Problems. ECCV (2) Pravin Bhat, Brian Curless, Michael F. Cohen, C. Lawrence Zitnick
2008	A*	`conf`	From appearance to context-based recognition: Dense labeling in small images. CVPR Devi Parikh, C. Lawrence Zitnick, Tsuhan Chen
2008	A*	`conf`	Stereo reconstruction with mixed pixels using adaptive over-segmentation. CVPR Yuichi Taguchi, Bennett Wilburn, C. Lawrence Zitnick
2007	J	`jnl`	Stereo for Image-Based Rendering using Image Over-Segmentation. Int. J. Comput. Vis. C. Lawrence Zitnick, Sing Bing Kang
2007	—	`conf`	Using Photographs to Enhance Videos of a Static Scene. Rendering Techniques Pravin Bhat, C. Lawrence Zitnick, Noah Snavely, Aseem Agarwala, Maneesh Agrawala, Michael F. Cohen, Brian Curless, Sing Bing Kang
2006	—	`conf`	Escaping local minima through hierarchical model selection: Automatic object discovery, segmentation, and tracking in video. CVPR (1) Nebojsa Jojic, John M. Winn, C. Lawrence Zitnick
2006	A	`conf`	Finding People in Repeated Shots of the Same Scene. BMVC Josef Sivic, C. Lawrence Zitnick, Richard Szeliski
2006	—	`conf`	Reconstructing Occluded Surfaces Using Synthetic Apertures: Stereo, Focus and Robust Measures. CVPR (2) Vaibhav Vaish, Marc Levoy, Richard Szeliski, C. Lawrence Zitnick, Sing Bing Kang
2006	—	`conf`	Stylizing 2.5-D video. NPAR Noah Snavely, C. Lawrence Zitnick, Sing Bing Kang, Michael F. Cohen
2006	—	`conf`	Video and Image Bayesian Demosaicing with a Two Color Image Prior. ECCV (1) Eric P. Bennett, Matthew Uyttendaele, C. Lawrence Zitnick, Richard Szeliski, Sing Bing Kang
2005	A*	`conf`	Consistent Segmentation for Optical Flow Estimation. ICCV C. Lawrence Zitnick, Nebojsa Jojic, Sing Bing Kang
2004	J	`jnl`	High-quality video view interpolation using a layered representation. ACM Trans. Graph. C. Lawrence Zitnick, Sing Bing Kang, Matthew Uyttendaele, Simon A. J. Winder, Richard Szeliski
2004	—	`conf`	Massive arabesque. SIGGRAPH Computer Animation Festival C. Lawrence Zitnick
2004	A	`conf`	Maximum Entropy for Collaborative Filtering. UAI C. Lawrence Zitnick, Takeo Kanade
2000	J	`jnl`	A Cooperative Algorithm for Stereo Matching and Occlusion Detection. IEEE Trans. Pattern Anal. Mach. Intell. C. Lawrence Zitnick, Takeo Kanade
2000	J	`jnl`	Gaze Awareness for Video-Conferencing: A Software Approach. IEEE Multim. Jim Gemmell, Kentaro Toyama, C. Lawrence Zitnick, Thomas Kang, Steven M. Seitz
1995	A*	`conf`	A Multibaseline Stereo System with Active Illumination and Real-Time Image Acquisition. ICCV Sing Bing Kang, Jon A. Webb, C. Lawrence Zitnick, Takeo Kanade