C. Lawrence Zitnick

Publication Activity (10 Years)

Years Active: 1995-2024
Publications (10 Years): 52

Top Venues

CoRR

CVPR

ICCV

ICLR

Publications

Nima Shoghi, Adeesh Kolluru, John R. Kitchin, Zachary W. Ulissi, C. Lawrence Zitnick, Brandon M. Wood
From Molecules to Materials: Pre-training Large Generalizable Models for Atomic Property Prediction. ICLR (2024)
Nate Gruver, Anuroop Sriram, Andrea Madotto, Andrew Gordon Wilson, C. Lawrence Zitnick, Zachary W. Ulissi
Fine-Tuned Language Models Generate Stable Inorganic Materials as Text. ICLR (2024)
Nate Gruver, Anuroop Sriram, Andrea Madotto, Andrew Gordon Wilson, C. Lawrence Zitnick, Zachary W. Ulissi
Fine-Tuned Language Models Generate Stable Inorganic Materials as Text. CoRR (2024)
Saro Passaro, C. Lawrence Zitnick
Reducing SO(3) Convolutions to SO(2) for Efficient Equivariant GNNs. ICML (2023)
Nima Shoghi, Adeesh Kolluru, John R. Kitchin, Zachary W. Ulissi, C. Lawrence Zitnick, Brandon M. Wood
From Molecules to Materials: Pre-training Large Generalizable Models for Atomic Property Prediction. CoRR (2023)
Saro Passaro, C. Lawrence Zitnick
Reducing SO(3) Convolutions to SO(2) for Efficient Equivariant GNNs. CoRR (2023)
C. Lawrence Zitnick, Abhishek Das, Adeesh Kolluru, Janice Lan, Muhammed Shuaibi, Anuroop Sriram, Zachary W. Ulissi, Brandon M. Wood
Spherical Channels for Modeling Atomic Interactions. CoRR (2022)
Johannes Gasteiger, Muhammed Shuaibi, Anuroop Sriram, Stephan Günnemann, Zachary W. Ulissi, C. Lawrence Zitnick, Abhishek Das
How Do Graph Networks Generalize to Large and Diverse Molecular Systems? CoRR (2022)
Johannes Gasteiger, Muhammed Shuaibi, Anuroop Sriram, Stephan Günnemann, Zachary W. Ulissi, C. Lawrence Zitnick, Abhishek Das
GemNet-OC: Developing Graph Neural Networks for Large and Diverse Molecular Simulation Datasets. Trans. Mach. Learn. Res. 2022 (2022)
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
The Open Catalyst 2022 (OC22) Dataset and Challenges for Oxide Electrocatalysis. CoRR (2022)
Anuroop Sriram, Abhishek Das, Brandon M. Wood, Siddharth Goyal, C. Lawrence Zitnick
Towards Training Billion Parameter Graph Neural Networks for Atomic Simulations. ICLR (2022)
Janice Lan, Aini Palizhati, Muhammed Shuaibi, Brandon M. Wood, Brook Wander, Abhishek Das, Matt Uyttendaele, C. Lawrence Zitnick, Zachary W. Ulissi
AdsorbML: Accelerating Adsorption Energy Calculations with Machine Learning. CoRR (2022)
Anuroop Sriram, Abhishek Das, Brandon M. Wood, Siddharth Goyal, C. Lawrence Zitnick
Towards Training Billion Parameter Graph Neural Networks for Atomic Simulations. CoRR (2022)
Weihua Hu, Muhammed Shuaibi, Abhishek Das, Siddharth Goyal, Anuroop Sriram, Jure Leskovec, Devi Parikh, C. Lawrence Zitnick
ForceNet: A Graph Neural Network for Large-Scale Quantum Calculations. CoRR (2021)
Drew A. Hudson, C. Lawrence Zitnick
Generative Adversarial Transformers. CoRR (2021)
Alexander Rives, Joshua Meier, Tom Sercu, Siddharth Goyal, Zeming Lin, Jason Liu, Demi Guo, Myle Ott, C. Lawrence Zitnick, Jerry Ma, Rob Fergus
Biological structure and function emerge from scaling unsupervised learning to 250 million protein sequences. Proc. Natl. Acad. Sci. USA 118 (15) (2021)
Drew A. Hudson, C. Lawrence Zitnick
Compositional Transformers for Scene Generation. CoRR (2021)
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
The Open Catalyst Challenge 2021: Competition Report. NeurIPS (Competition and Demos) (2021)
Muhammed Shuaibi, Adeesh Kolluru, Abhishek Das, Aditya Grover, Anuroop Sriram, Zachary W. Ulissi, C. Lawrence Zitnick
Rotation Invariant Graph Neural Networks using Spin Convolutions. CoRR (2021)
Songwei Ge, Vedanuj Goswami, C. Lawrence Zitnick, Devi Parikh
Creative Sketch Generation. CoRR (2020)
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
Advancing machine learning for MR image reconstruction with an open competition: Overview of the 2019 fastMRI challenge. CoRR (2020)
Anuroop Sriram, Jure Zbontar, Tullie Murrell, Aaron Defazio, C. Lawrence Zitnick, Nafissa Yakubova, Florian Knoll, Patricia M. Johnson
End-to-End Variational Networks for Accelerated MRI Reconstruction. MICCAI (2) (2020)
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 Wood, Junwoong Yoon, Devi Parikh, Zachary W. Ulissi
An Introduction to Electrocatalyst Design using Machine Learning for Renewable Energy Storage. CoRR (2020)
Anuroop Sriram, Jure Zbontar, Tullie Murrell, C. Lawrence Zitnick, Aaron Defazio, Daniel K. Sodickson
GrappaNet: Combining Parallel Imaging With Deep Learning for Multi-Coil MRI Reconstruction. CVPR (2020)
Devi Parikh, C. Lawrence Zitnick
Exploring Crowd Co-creation Scenarios for Sketches. CoRR (2020)
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 Wood, Junwoong Yoon, Devi Parikh, C. Lawrence Zitnick, Zachary W. Ulissi
The Open Catalyst 2020 (OC20) Dataset and Community Challenges. CoRR (2020)
Anuroop Sriram, Jure Zbontar, Tullie Murrell, Aaron Defazio, C. Lawrence Zitnick, Nafissa Yakubova, Florian Knoll, Patricia M. Johnson
End-to-End Variational Networks for Accelerated MRI Reconstruction. CoRR (2020)
Devi Parikh, C. Lawrence Zitnick
Exploring Crowd Co-creation Scenarios for Sketches. ICCC (2020)
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
Why Build an Assistant in Minecraft? CoRR (2019)
Jonathan Gray, Kavya Srinet, Yacine Jernite, Haonan Yu, Zhuoyuan Chen, Demi Guo, Siddharth Goyal, C. Lawrence Zitnick, Arthur Szlam
CraftAssist: A Framework for Dialogue-enabled Interactive Agents. CoRR (2019)
Yuandong Tian, Jerry Ma, Qucheng Gong, Shubho Sengupta, Zhuoyuan Chen, James Pinkerton, C. Lawrence Zitnick
ELF OpenGo: An Analysis and Open Reimplementation of AlphaZero. CoRR (2019)
Anuroop Sriram, Jure Zbontar, Tullie Murrell, C. Lawrence Zitnick, Aaron Defazio, Daniel K. Sodickson
GrappaNet: Combining Parallel Imaging with Deep Learning for Multi-Coil MRI Reconstruction. CoRR (2019)
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
fastMRI: An Open Dataset and Benchmarks for Accelerated MRI. CoRR (2018)
Justin Johnson, Bharath Hariharan, Laurens van der Maaten, Judy Hoffman, Li Fei-Fei, C. Lawrence Zitnick, Ross B. Girshick
Inferring and Executing Programs for Visual Reasoning. CoRR (2017)
Justin Johnson, Bharath Hariharan, Laurens van der Maaten, Judy Hoffman, Li Fei-Fei, C. Lawrence Zitnick, Ross B. Girshick
Inferring and Executing Programs for Visual Reasoning. ICCV (2017)
Justin Johnson, Bharath Hariharan, Laurens van der Maaten, Li Fei-Fei, C. Lawrence Zitnick, Ross B. Girshick
CLEVR: A Diagnostic Dataset for Compositional Language and Elementary Visual Reasoning. CVPR (2017)
Yuandong Tian, Qucheng Gong, Wenling Shang, Yuxin Wu, C. Lawrence Zitnick
ELF: An Extensive, Lightweight and Flexible Research Platform for Real-time Strategy Games. NIPS (2017)
Will Feng, Anitha Kannan, Georgia Gkioxari, C. Lawrence Zitnick
Learn2Smile: Learning non-verbal interaction through observation. IROS (2017)
Aishwarya Agrawal, Jiasen Lu, Stanislaw Antol, Margaret Mitchell, C. Lawrence Zitnick, Devi Parikh, Dhruv Batra
VQA: Visual Question Answering - www.visualqa.org. Int. J. Comput. Vis. 123 (1) (2017)
Abhishek Das, Harsh Agrawal, C. Lawrence Zitnick, Devi Parikh, Dhruv Batra
Human Attention in Visual Question Answering: Do Humans and Deep Networks Look at the Same Regions? CoRR (2016)
Arjun Chandrasekaran, Ashwin K. Vijayakumar, Stanislaw Antol, Mohit Bansal, Dhruv Batra, C. Lawrence Zitnick, Devi Parikh
We are Humor Beings: Understanding and Predicting Visual Humor. CVPR (2016)
Ishan Misra, C. Lawrence Zitnick, Martial Hebert
Shuffle and Learn: Unsupervised Learning Using Temporal Order Verification. ECCV (1) (2016)
Ishan Misra, C. Lawrence Zitnick, Margaret Mitchell, Ross B. Girshick
Seeing through the Human Reporting Bias: Visual Classifiers from Noisy Human-Centric Labels. CVPR (2016)
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
Visual Storytelling. CoRR (2016)
Sean Bell, C. Lawrence Zitnick, Kavita Bala, Ross B. Girshick
Inside-Outside Net: Detecting Objects in Context with Skip Pooling and Recurrent Neural Networks. CVPR (2016)
C. Lawrence Zitnick, Aishwarya Agrawal, Stanislaw Antol, Margaret Mitchell, Dhruv Batra, Devi Parikh
Measuring Machine Intelligence Through Visual Question Answering. AI Mag. 37 (1) (2016)
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
Visual Storytelling. HLT-NAACL (2016)
C. Lawrence Zitnick, Aishwarya Agrawal, Stanislaw Antol, Margaret Mitchell, Dhruv Batra, Devi Parikh
Measuring Machine Intelligence Through Visual Question Answering. CoRR (2016)
Abhishek Das, Harsh Agrawal, C. Lawrence Zitnick, Devi Parikh, Dhruv Batra
Human Attention in Visual Question Answering: Do Humans and Deep Networks Look at the Same Regions? CoRR (2016)
C. Lawrence Zitnick, Ramakrishna Vedantam, Devi Parikh
Adopting Abstract Images for Semantic Scene Understanding. IEEE Trans. Pattern Anal. Mach. Intell. 38 (4) (2016)
Justin Johnson, Bharath Hariharan, Laurens van der Maaten, Li Fei-Fei, C. Lawrence Zitnick, Ross B. Girshick
CLEVR: A Diagnostic Dataset for Compositional Language and Elementary Visual Reasoning. CoRR (2016)
Ishan Misra, C. Lawrence Zitnick, Martial Hebert
Unsupervised Learning using Sequential Verification for Action Recognition. CoRR (2016)
Xinlei Chen, C. Lawrence Zitnick
Mind's eye: A recurrent visual representation for image caption generation. CVPR (2015)
Xinlei Chen, Hao Fang, Tsung-Yi Lin, Ramakrishna Vedantam, Saurabh Gupta, Piotr Dollár, C. Lawrence Zitnick
Microsoft COCO Captions: Data Collection and Evaluation Server. CoRR (2015)
Ramakrishna Vedantam, Xiao Lin, Tanmay Batra, C. Lawrence Zitnick, Devi Parikh
Learning Common Sense through Visual Abstraction. ICCV (2015)
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
From captions to visual concepts and back. CVPR (2015)
Ishan Misra, C. Lawrence Zitnick, Margaret Mitchell, Ross B. Girshick
Learning Visual Classifiers using Human-centric Annotations. CoRR (2015)
Stanislaw Antol, Aishwarya Agrawal, Jiasen Lu, Margaret Mitchell, Dhruv Batra, C. Lawrence Zitnick, Devi Parikh
VQA: Visual Question Answering. CoRR (2015)
Jacob Devlin, Saurabh Gupta, Ross B. Girshick, Margaret Mitchell, C. Lawrence Zitnick
Exploring Nearest Neighbor Approaches for Image Captioning. CoRR (2015)
Stanislaw Antol, Aishwarya Agrawal, Jiasen Lu, Margaret Mitchell, Dhruv Batra, C. Lawrence Zitnick, Devi Parikh
VQA: Visual Question Answering. ICCV (2015)
Fereshteh Sadeghi, C. Lawrence Zitnick, Ali Farhadi
VISALOGY: Answering Visual Analogy Questions. CoRR (2015)
Arjun Chandrasekaran, Ashwin K. Vijayakumar, Stanislaw Antol, Mohit Bansal, Dhruv Batra, C. Lawrence Zitnick, Devi Parikh
We Are Humor Beings: Understanding and Predicting Visual Humor. CoRR (2015)
Sean Bell, C. Lawrence Zitnick, Kavita Bala, Ross B. Girshick
Inside-Outside Net: Detecting Objects in Context with Skip Pooling and Recurrent Neural Networks. CoRR (2015)
Ramakrishna Vedantam, C. Lawrence Zitnick, Devi Parikh
CIDEr: Consensus-based image description evaluation. CVPR (2015)
Piotr Dollár, C. Lawrence Zitnick
Fast Edge Detection Using Structured Forests. IEEE Trans. Pattern Anal. Mach. Intell. 37 (8) (2015)
Fereshteh Sadeghi, C. Lawrence Zitnick, Ali Farhadi
Visalogy: Answering Visual Analogy Questions. NIPS (2015)
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
From Captions to Visual Concepts and Back. CoRR (2014)
Piotr Dollár, C. Lawrence Zitnick
Fast Edge Detection Using Structured Forests. CoRR (2014)
Ramakrishna Vedantam, C. Lawrence Zitnick, Devi Parikh
CIDEr: Consensus-based Image Description Evaluation. CoRR (2014)
Xinlei Chen, C. Lawrence Zitnick
Learning a Recurrent Visual Representation for Image Caption Generation. CoRR (2014)
C. Lawrence Zitnick, Piotr Dollár
Edge Boxes: Locating Object Proposals from Edges. ECCV (5) (2014)
Edward Hsiao, Sudipta N. Sinha, Krishnan Ramnath, Simon Baker, C. Lawrence Zitnick, Richard Szeliski
Car make and model recognition using 3D curve alignment. WACV (2014)
Stanislaw Antol, C. Lawrence Zitnick, Devi Parikh
Zero-Shot Learning via Visual Abstraction. ECCV (4) (2014)
Ramakrishna Vedantam, C. Lawrence Zitnick, Devi Parikh
Collecting Image Description Datasets using Crowdsourcing. CoRR (2014)
Bharath Hariharan, C. Lawrence Zitnick, Piotr Dollár
Detecting Objects Using Deformation Dictionaries. CVPR (2014)
Tsung-Yi Lin, Michael Maire, Serge J. Belongie, James Hays, Pietro Perona, Deva Ramanan, Piotr Dollár, C. Lawrence Zitnick
Microsoft COCO: Common Objects in Context. ECCV (5) (2014)
David F. Fouhey, C. Lawrence Zitnick
Predicting Object Dynamics in Scenes. CVPR (2014)
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
Microsoft COCO: Common Objects in Context. CoRR (2014)
C. Lawrence Zitnick
Handwriting beautification using token means. ACM Trans. Graph. 32 (4) (2013)
Piotr Dollár, C. Lawrence Zitnick
Structured Forests for Fast Edge Detection. ICCV (2013)
Dennis Park, C. Lawrence Zitnick, Deva Ramanan, Piotr Dollár
Exploring Weak Stabilization for Motion Feature Extraction. CVPR (2013)
C. Lawrence Zitnick, Devi Parikh, Lucy Vanderwende
Learning the Visual Interpretation of Sentences. ICCV (2013)
Joseph J. Lim, C. Lawrence Zitnick, Piotr Dollár
Sketch Tokens: A Learned Mid-level Representation for Contour and Object Detection. CVPR (2013)
C. Lawrence Zitnick, Devi Parikh
Bringing Semantics into Focus Using Visual Abstraction. CVPR (2013)
Devi Parikh, C. Lawrence Zitnick, Tsuhan Chen
Exploring Tiny Images: The Roles of Appearance and Contextual Information for Machine and Human Object Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 34 (10) (2012)
C. Lawrence Zitnick, Takeo Kanade
Maximum Entropy for Collaborative Filtering CoRR (2012)
Varsha Hedau, Sudipta N. Sinha, C. Lawrence Zitnick, Richard Szeliski
A Memory Efficient Discriminative Approach for Location Aided Recognition. ECCV Workshops (1) (2012)
Hossein Mobahi, C. Lawrence Zitnick, Yi Ma
Seeing through the blur. CVPR (2012)
C. Lawrence Zitnick, Devi Parikh
The role of image understanding in contour detection. CVPR (2012)
Yuandong Tian, C. Lawrence Zitnick, Srinivasa G. Narasimhan
Exploring the Spatial Hierarchy of Mixture Models for Human Pose Estimation. ECCV (5) (2012)
Yong Jae Lee, C. Lawrence Zitnick, Michael F. Cohen
ShadowDraw: real-time user guidance for freehand drawing. ACM Trans. Graph. 30 (4) (2011)
Sanjeev J. Koppal, C. Lawrence Zitnick, Michael F. Cohen, Sing Bing Kang, Bryan Ressler, Alex Colburn
A Viewer-Centric Editor for 3D Movies. IEEE Computer Graphics and Applications 31 (1) (2011)
Devi Parikh, C. Lawrence Zitnick
Finding the weakest link in person detectors. CVPR (2011)
C. Lawrence Zitnick, Krishnan Ramnath
Edge foci interest points. ICCV (2011)
Ankit Gupta, Neel Joshi, C. Lawrence Zitnick, Michael F. Cohen, Brian Curless
Single Image Deblurring Using Motion Density Functions. ECCV (1) (2010)
Devi Parikh, C. Lawrence Zitnick
The role of features, algorithms and data in visual recognition. CVPR (2010)
Neel Joshi, Sing Bing Kang, C. Lawrence Zitnick, Richard Szeliski
Image deblurring using inertial measurement sensors. ACM Trans. Graph. 29 (4) (2010)
C. Lawrence Zitnick
Binary Coherent Edge Descriptors. ECCV (2) (2010)
Pravin Bhat, C. Lawrence Zitnick, Michael F. Cohen, Brian Curless
GradientShop: A gradient-domain optimization framework for image and video filtering. ACM Trans. Graph. 29 (2) (2010)
Taeg Sang Cho, Neel Joshi, C. Lawrence Zitnick, Sing Bing Kang, Richard Szeliski, William T. Freeman
A content-aware image prior. CVPR (2010)

C. Lawrence Zitnick.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

C. Lawrence Zitnick