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ORCIDC. Lawrence Zitnick
Charles Lawrence Zitnick – Larry Zitnick
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Journal Articles
- 2022
[j19]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)- 2021
- [j18]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): e2016239118 (2021) - 2017
- [j17]Abhishek Das, Harsh Agrawal, Larry Zitnick, Devi Parikh, Dhruv Batra:
Human Attention in Visual Question Answering: Do Humans and Deep Networks Look at the Same Regions? Comput. Vis. Image Underst. 163: 90-100 (2017) - [j16]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): 4-31 (2017) - 2016
- [j15]C. Lawrence Zitnick, Aishwarya Agrawal, Stanislaw Antol, Margaret Mitchell, Dhruv Batra, Devi Parikh:
Measuring Machine Intelligence Through Visual Question Answering. AI Mag. 37(1): 63-72 (2016) - [j14]C. Lawrence Zitnick, Ramakrishna Vedantam, Devi Parikh:
Adopting Abstract Images for Semantic Scene Understanding. IEEE Trans. Pattern Anal. Mach. Intell. 38(4): 627-638 (2016) - 2015
- [j13]Piotr Dollár, C. Lawrence Zitnick:
Fast Edge Detection Using Structured Forests. IEEE Trans. Pattern Anal. Mach. Intell. 37(8): 1558-1570 (2015) - 2013
- [j12]C. Lawrence Zitnick:
Handwriting beautification using token means. ACM Trans. Graph. 32(4): 53:1-53:8 (2013) - 2012
- [j11]Taeg Sang Cho, Charles Lawrence Zitnick, Neel Joshi, Sing Bing Kang, Richard Szeliski, William T. Freeman:
Image Restoration by Matching Gradient Distributions. IEEE Trans. Pattern Anal. Mach. Intell. 34(4): 683-694 (2012) - [j10]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): 1978-1991 (2012) - 2011
- [j9]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): 20-35 (2011) - [j8]Yong Jae Lee, C. Lawrence Zitnick, Michael F. Cohen:
ShadowDraw: real-time user guidance for freehand drawing. ACM Trans. Graph. 30(4): 27 (2011) - 2010
- [j7]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): 10:1-10:14 (2010) - [j6]Neel Joshi, Sing Bing Kang, C. Lawrence Zitnick, Richard Szeliski:
Image deblurring using inertial measurement sensors. ACM Trans. Graph. 29(4): 30:1-30:9 (2010) - 2008
- [j5]Ce Liu, Richard Szeliski, Sing Bing Kang, C. Lawrence Zitnick, William T. Freeman:
Automatic Estimation and Removal of Noise from a Single Image. IEEE Trans. Pattern Anal. Mach. Intell. 30(2): 299-314 (2008) - 2007
- [j4]C. Lawrence Zitnick, Sing Bing Kang:
Stereo for Image-Based Rendering using Image Over-Segmentation. Int. J. Comput. Vis. 75(1): 49-65 (2007) - 2004
- [j3]C. Lawrence Zitnick, Sing Bing Kang, Matthew Uyttendaele, Simon A. J. Winder, Richard Szeliski:
High-quality video view interpolation using a layered representation. ACM Trans. Graph. 23(3): 600-608 (2004) - 2000
- [j2]Jim Gemmell, Kentaro Toyama, C. Lawrence Zitnick, Thomas Kang, Steven M. Seitz:
Gaze Awareness for Video-Conferencing: A Software Approach. IEEE Multim. 7(4): 26-35 (2000) - [j1]C. Lawrence Zitnick, Takeo Kanade:
A Cooperative Algorithm for Stereo Matching and Occlusion Detection. IEEE Trans. Pattern Anal. Mach. Intell. 22(7): 675-684 (2000)
Conference and Workshop Papers
- 2024
- [c74]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 - [c73]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 - 2023
- [c72]Saro Passaro, C. Lawrence Zitnick:
Reducing SO(3) Convolutions to SO(2) for Efficient Equivariant GNNs. ICML 2023: 27420-27438 - 2022
- [c71]Anuroop Sriram, Abhishek Das, Brandon M. Wood, Siddharth Goyal, C. Lawrence Zitnick:
Towards Training Billion Parameter Graph Neural Networks for Atomic Simulations. ICLR 2022 - [c70]Larry Zitnick, Abhishek Das, Adeesh Kolluru, Janice Lan, Muhammed Shuaibi, Anuroop Sriram, Zachary W. Ulissi, Brandon M. Wood:
Spherical Channels for Modeling Atomic Interactions. NeurIPS 2022 - 2021
- [c69]Songwei Ge, Vedanuj Goswami, Larry Zitnick, Devi Parikh:
Creative Sketch Generation. ICLR 2021 - [c68]Drew A. Hudson, Larry Zitnick:
Generative Adversarial Transformers. ICML 2021: 4487-4499 - [c67]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: 29-40 - [c66]Dor Arad Hudson, Larry Zitnick:
Compositional Transformers for Scene Generation. NeurIPS 2021: 9506-9520 - 2020
- [c65]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: 14303-14310 - [c64]Devi Parikh, C. Lawrence Zitnick:
Exploring Crowd Co-creation Scenarios for Sketches. ICCC 2020: 73-76 - [c63]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: 64-73 - 2019
- [c62]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:
Order-Aware Generative Modeling Using the 3D-Craft Dataset. ICCV 2019: 1764-1773 - [c61]Yuandong Tian, Jerry Ma, Qucheng Gong, Shubho Sengupta, Zhuoyuan Chen, James Pinkerton, Larry Zitnick:
ELF OpenGo: an analysis and open reimplementation of AlphaZero. ICML 2019: 6244-6253 - 2017
- [c60]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: 1988-1997 - [c59]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: 3008-3017 - [c58]Will Feng, Anitha Kannan, Georgia Gkioxari, C. Lawrence Zitnick:
Learn2Smile: Learning non-verbal interaction through observation. IROS 2017: 4131-4138 - [c57]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: 2659-2669 - 2016
- [c56]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: 2874-2883 - [c55]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: 2930-2939 - [c54]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: 4603-4612 - [c53]Ishan Misra, C. Lawrence Zitnick, Martial Hebert:
Shuffle and Learn: Unsupervised Learning Using Temporal Order Verification. ECCV (1) 2016: 527-544 - [c52]Abhishek Das, Harsh Agrawal, Larry Zitnick, Devi Parikh, Dhruv Batra:
Human Attention in Visual Question Answering: Do Humans and Deep Networks look at the same regions? EMNLP 2016: 932-937 - [c51]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: 1233-1239 - [c50]Michael Cogswell, Faruk Ahmed, Ross B. Girshick, Larry Zitnick, Dhruv Batra:
Reducing Overfitting in Deep Networks by Decorrelating Representations. ICLR (Poster) 2016 - 2015
- [c49]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: 1473-1482 - [c48]Xinlei Chen, C. Lawrence Zitnick:
Mind's eye: A recurrent visual representation for image caption generation. CVPR 2015: 2422-2431 - [c47]Ramakrishna Vedantam, C. Lawrence Zitnick, Devi Parikh:
CIDEr: Consensus-based image description evaluation. CVPR 2015: 4566-4575 - [c46]Stanislaw Antol, Aishwarya Agrawal, Jiasen Lu, Margaret Mitchell, Dhruv Batra, C. Lawrence Zitnick, Devi Parikh:
VQA: Visual Question Answering. ICCV 2015: 2425-2433 - [c45]Ramakrishna Vedantam, Xiao Lin, Tanmay Batra, C. Lawrence Zitnick, Devi Parikh:
Learning Common Sense through Visual Abstraction. ICCV 2015: 2542-2550 - [c44]Fereshteh Sadeghi, C. Lawrence Zitnick, Ali Farhadi:
Visalogy: Answering Visual Analogy Questions. NIPS 2015: 1882-1890 - 2014
- [c43]Bharath Hariharan, C. Lawrence Zitnick, Piotr Dollár:
Detecting Objects Using Deformation Dictionaries. CVPR 2014: 1995-2002 - [c42]David F. Fouhey, C. Lawrence Zitnick:
Predicting Object Dynamics in Scenes. CVPR 2014: 2027-2034 - [c41]C. Lawrence Zitnick, Piotr Dollár:
Edge Boxes: Locating Object Proposals from Edges. ECCV (5) 2014: 391-405 - [c40]Stanislaw Antol, C. Lawrence Zitnick, Devi Parikh:
Zero-Shot Learning via Visual Abstraction. ECCV (4) 2014: 401-416 - [c39]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: 740-755 - [c38]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: 1 - 2013
- [c37]Dennis Park, C. Lawrence Zitnick, Deva Ramanan, Piotr Dollár:
Exploring Weak Stabilization for Motion Feature Extraction. CVPR 2013: 2882-2889 - [c36]C. Lawrence Zitnick, Devi Parikh:
Bringing Semantics into Focus Using Visual Abstraction. CVPR 2013: 3009-3016 - [c35]Joseph J. Lim, C. Lawrence Zitnick, Piotr Dollár:
Sketch Tokens: A Learned Mid-level Representation for Contour and Object Detection. CVPR 2013: 3158-3165 - [c34]C. Lawrence Zitnick, Devi Parikh, Lucy Vanderwende:
Learning the Visual Interpretation of Sentences. ICCV 2013: 1681-1688 - [c33]Piotr Dollár, C. Lawrence Zitnick:
Structured Forests for Fast Edge Detection. ICCV 2013: 1841-1848 - [c32]Aayush Bansal, Adarsh Kowdle, Devi Parikh, Andrew C. Gallagher, Larry Zitnick:
Which Edges Matter? ICCV Workshops 2013: 578-585 - 2012
- [c31]C. Lawrence Zitnick, Devi Parikh:
The role of image understanding in contour detection. CVPR 2012: 622-629 - [c30]Hossein Mobahi, C. Lawrence Zitnick, Yi Ma:
Seeing through the blur. CVPR 2012: 1736-1743 - [c29]Varsha Hedau, Sudipta N. Sinha, C. Lawrence Zitnick, Richard Szeliski:
A Memory Efficient Discriminative Approach for Location Aided Recognition. ECCV Workshops (1) 2012: 187-197 - [c28]Yuandong Tian, C. Lawrence Zitnick, Srinivasa G. Narasimhan:
Exploring the Spatial Hierarchy of Mixture Models for Human Pose Estimation. ECCV (5) 2012: 256-269 - 2011
- [c27]Devi Parikh, C. Lawrence Zitnick:
Finding the weakest link in person detectors. CVPR 2011: 1425-1432 - [c26]C. Lawrence Zitnick, Krishnan Ramnath:
Edge foci interest points. ICCV 2011: 359-366 - 2010
- [c25]Taeg Sang Cho, Neel Joshi, C. Lawrence Zitnick, Sing Bing Kang, Richard Szeliski, William T. Freeman:
A content-aware image prior. CVPR 2010: 169-176 - [c24]Devi Parikh, C. Lawrence Zitnick:
The role of features, algorithms and data in visual recognition. CVPR 2010: 2328-2335 - [c23]C. Lawrence Zitnick:
Binary Coherent Edge Descriptors. ECCV (2) 2010: 170-182 - [c22]Ankit Gupta, Neel Joshi, C. Lawrence Zitnick, Michael F. Cohen, Brian Curless:
Single Image Deblurring Using Motion Density Functions. ECCV (1) 2010: 171-184 - 2009
- [c21]Florian Schroff, C. Lawrence Zitnick, Simon Baker:
Clustering Videos by Location. BMVC 2009: 1-11 - [c20]Neel Joshi, C. Lawrence Zitnick, Richard Szeliski, David J. Kriegman:
Image deblurring and denoising using color priors. CVPR 2009: 1550-1557 - [c19]Devi Parikh, C. Lawrence Zitnick, Tsuhan Chen:
Unsupervised learning of hierarchical spatial structures in images. CVPR 2009: 2743-2750 - 2008
- [c18]Devi Parikh, C. Lawrence Zitnick, Tsuhan Chen:
From appearance to context-based recognition: Dense labeling in small images. CVPR 2008 - [c17]Grant Schindler, Larry Zitnick, Matthew A. Brown:
Internet video category recognition. CVPR Workshops 2008: 1-7 - [c16]Yuichi Taguchi, Bennett Wilburn, C. Lawrence Zitnick:
Stereo reconstruction with mixed pixels using adaptive over-segmentation. CVPR 2008 - [c15]Pravin Bhat, Brian Curless, Michael F. Cohen, C. Lawrence Zitnick:
Fourier Analysis of the 2D Screened Poisson Equation for Gradient Domain Problems. ECCV (2) 2008: 114-128 - [c14]Devi Parikh, C. Lawrence Zitnick, Tsuhan Chen:
Determining Patch Saliency Using Low-Level Context. ECCV (2) 2008: 446-459 - 2007
- [c13]Pravin Bhat, C. Lawrence Zitnick, Noah Snavely, Aseem Agarwala, Maneesh Agrawala, Michael F. Cohen, Brian Curless, Sing Bing Kang:
Using Photographs to Enhance Videos of a Static Scene. Rendering Techniques 2007: 327-338 - 2006
- [c12]Josef Sivic, C. Lawrence Zitnick, Richard Szeliski:
Finding People in Repeated Shots of the Same Scene. BMVC 2006: 909-918 - [c11]Nebojsa Jojic, John M. Winn, C. Lawrence Zitnick:
Escaping local minima through hierarchical model selection: Automatic object discovery, segmentation, and tracking in video. CVPR (1) 2006: 117-124 - [c10]Vaibhav Vaish, Marc Levoy, Richard Szeliski, C. Lawrence Zitnick, Sing Bing Kang:
Reconstructing Occluded Surfaces Using Synthetic Apertures: Stereo, Focus and Robust Measures. CVPR (2) 2006: 2331-2338 - [c9]Eric P. Bennett, Matthew Uyttendaele, C. Lawrence Zitnick, Richard Szeliski, Sing Bing Kang:
Video and Image Bayesian Demosaicing with a Two Color Image Prior. ECCV (1) 2006: 508-521 - [c8]Noah Snavely, C. Lawrence Zitnick, Sing Bing Kang, Michael F. Cohen:
Stylizing 2.5-D video. NPAR 2006: 63-69 - [c7]Larry Zitnick:
High-quality video view interpolation. SIGGRAPH Courses 2006: 183-237 - [c6]Larry Zitnick:
Outlook & discussion. SIGGRAPH Courses 2006: 239-244 - 2005
- [c5]C. Lawrence Zitnick, Nebojsa Jojic, Sing Bing Kang:
Consistent Segmentation for Optical Flow Estimation. ICCV 2005: 1308-1315 - [c4]Noah Snavely, Larry Zitnick, Sing Bing Kang, Michael F. Cohen:
Stylizing 2.5-D video. SIGGRAPH Sketches 2005: 94 - 2004
- [c3]C. Lawrence Zitnick:
Massive arabesque. SIGGRAPH Computer Animation Festival 2004: 228 - [c2]C. Lawrence Zitnick, Takeo Kanade:
Maximum Entropy for Collaborative Filtering. UAI 2004: 636- - 1995
- [c1]Sing Bing Kang, Jon A. Webb, C. Lawrence Zitnick, Takeo Kanade:
A Multibaseline Stereo System with Active Illumination and Real-Time Image Acquisition. ICCV 1995: 88-93
Parts in Books or Collections
- 2016
- [p1]Sudipta N. Sinha, Varsha Hedau, C. Lawrence Zitnick, Richard Szeliski:
A Memory Efficient Discriminative Approach for Location-Aided Recognition. Large-Scale Visual Geo-Localization 2016: 279-298
Informal and Other Publications
- 2024
- [i46]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 abs/2402.04379 (2024) - 2023
- [i45]Saro Passaro, C. Lawrence Zitnick:
Reducing SO(3) Convolutions to SO(2) for Efficient Equivariant GNNs. CoRR abs/2302.03655 (2023) - [i44]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 abs/2310.16802 (2023) - 2022
- [i43]Anuroop Sriram, Abhishek Das, Brandon M. Wood, Siddharth Goyal, C. Lawrence Zitnick:
Towards Training Billion Parameter Graph Neural Networks for Atomic Simulations. CoRR abs/2203.09697 (2022) - [i42]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 abs/2204.02782 (2022) - [i41]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 abs/2206.08917 (2022) - [i40]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 abs/2206.14331 (2022) - [i39]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 abs/2211.16486 (2022) - 2021
- [i38]Drew A. Hudson, C. Lawrence Zitnick:
Generative Adversarial Transformers. CoRR abs/2103.01209 (2021) - [i37]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 abs/2103.01436 (2021) - [i36]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 abs/2106.09575 (2021) - [i35]Drew A. Hudson, C. Lawrence Zitnick:
Compositional Transformers for Scene Generation. CoRR abs/2111.08960 (2021) - 2020
- [i34]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 abs/2001.02518 (2020) - [i33]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 abs/2004.06688 (2020) - [i32]Devi Parikh, C. Lawrence Zitnick:
Exploring Crowd Co-creation Scenarios for Sketches. CoRR abs/2005.07328 (2020) - [i31]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:
An Introduction to Electrocatalyst Design using Machine Learning for Renewable Energy Storage. CoRR abs/2010.09435 (2020) - [i30]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:
The Open Catalyst 2020 (OC20) Dataset and Community Challenges. CoRR abs/2010.09990 (2020) - [i29]Songwei Ge, Vedanuj Goswami, C. Lawrence Zitnick, Devi Parikh:
Creative Sketch Generation. CoRR abs/2011.10039 (2020) - 2019
- [i28]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 abs/1902.04522 (2019) - [i27]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 abs/1907.08584 (2019) - [i26]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 abs/1907.09273 (2019) - [i25]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 abs/1910.12325 (2019) - 2018
- [i24]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 abs/1811.08839 (2018) - 2017
- [i23]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 abs/1705.03633 (2017) - [i22]Yuandong Tian, Qucheng Gong, Wenling Shang, Yuxin Wu, Larry Zitnick:
ELF: An Extensive, Lightweight and Flexible Research Platform for Real-time Strategy Games. CoRR abs/1707.01067 (2017) - 2016
- [i21]Nasrin Mostafazadeh, Ishan Misra, Jacob Devlin, Larry Zitnick, Margaret Mitchell, Xiaodong He, Lucy Vanderwende:
Generating Natural Questions About an Image. CoRR abs/1603.06059 (2016) - [i20]Ishan Misra, C. Lawrence Zitnick, Martial Hebert:
Unsupervised Learning using Sequential Verification for Action Recognition. CoRR abs/1603.08561 (2016) - [i19]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 abs/1604.03968 (2016) - [i18]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 abs/1606.03556 (2016) - [i17]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 abs/1606.05589 (2016) - [i16]C. Lawrence Zitnick, Aishwarya Agrawal, Stanislaw Antol, Margaret Mitchell, Dhruv Batra, Devi Parikh:
Measuring Machine Intelligence Through Visual Question Answering. CoRR abs/1608.08716 (2016) - [i15]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 abs/1612.06890 (2016) - 2015
- [i14]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 abs/1504.00325 (2015) - [i13]Stanislaw Antol, Aishwarya Agrawal, Jiasen Lu, Margaret Mitchell, Dhruv Batra, C. Lawrence Zitnick, Devi Parikh:
VQA: Visual Question Answering. CoRR abs/1505.00468 (2015) - [i12]Jacob Devlin, Saurabh Gupta, Ross B. Girshick, Margaret Mitchell, C. Lawrence Zitnick:
Exploring Nearest Neighbor Approaches for Image Captioning. CoRR abs/1505.04467 (2015) - [i11]Fereshteh Sadeghi, C. Lawrence Zitnick, Ali Farhadi:
VISALOGY: Answering Visual Analogy Questions. CoRR abs/1510.08973 (2015) - [i10]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 abs/1512.04143 (2015) - [i9]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 abs/1512.04407 (2015) - [i8]Ishan Misra, C. Lawrence Zitnick, Margaret Mitchell, Ross B. Girshick:
Learning Visual Classifiers using Human-centric Annotations. CoRR abs/1512.06974 (2015) - 2014
- [i7]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 abs/1405.0312 (2014) - [i6]Piotr Dollár, C. Lawrence Zitnick:
Fast Edge Detection Using Structured Forests. CoRR abs/1406.5549 (2014) - [i5]Ramakrishna Vedantam, C. Lawrence Zitnick, Devi Parikh:
Collecting Image Description Datasets using Crowdsourcing. CoRR abs/1411.3041 (2014) - [i4]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 abs/1411.4952 (2014) - [i3]Xinlei Chen, C. Lawrence Zitnick:
Learning a Recurrent Visual Representation for Image Caption Generation. CoRR abs/1411.5654 (2014) - [i2]Ramakrishna Vedantam, C. Lawrence Zitnick, Devi Parikh:
CIDEr: Consensus-based Image Description Evaluation. CoRR abs/1411.5726 (2014) - 2012
- [i1]C. Lawrence Zitnick, Takeo Kanade:
Maximum Entropy for Collaborative Filtering. CoRR abs/1207.4152 (2012)
Coauthor Index
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