C. Lawrence Zitnick

79.3k citations

75 papers · 16.7k indexed · 14 hit papers · h-index 43

Computer Vision and Pattern Recognition top 0.02%
Artificial Intelligence top 0.1%
Media Technology top 0.1%
Molecular Biology top 5%
Signal Processing top 0.5%

Co-authors: Devi Parikh Ramakrishna Vedantam Piotr Dollár Sing Bing Kang Richard Szeliski Margaret Mitchell Aishwarya Agrawal Dhruv Batra
Topics: Advanced Image and Video Retrieval Techniques (27 papers)Advanced Vision and Imaging (24 papers)Multimodal Machine Learning Applications (16 papers)
Cited by: Computer Vision and Pattern Recognition Computer Graphics and Computer-Aided Design Media Technology
Journals: Proceedings of the National Academy of Sciences The Journal of Chemical Physics ACS Nano
Partner nations: United States United Kingdom Japan

In The Last Decade

C. Lawrence Zitnick

75 papers receiving 16.0k citations

Hit Papers

5 papers align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

CIDEr: Consensus-based image description evaluation

2015 2.7k citations Ramakrishna Vedantam, C. Lawrence Zitnick et al. profile →
VQA: Visual Question Answering

2015 2.3k citations Aishwarya Agrawal, Margaret Mitchell et al. profile →
Biological structure and function emerge from scaling unsupervised learning to 250 million protein sequences

2021 1.4k citations Alexander Rives, Joshua Meier et al. Proceedings of the National Academy of Sciences profile →
High-quality video view interpolation using a layered representation

2004 1.0k citations C. Lawrence Zitnick, Sing Bing Kang et al. ACM Transactions on Graphics profile →
Inside-Outside Net: Detecting Objects in Context with Skip Pooling and Recurrent Neural Networks

2016 915 citations Sean Bell, C. Lawrence Zitnick et al. profile →
CLEVR: A Diagnostic Dataset for Compositional Language and Elementary Visual Reasoning

2017 822 citations C. Lawrence Zitnick, Ross Girshick et al. profile →
From captions to visual concepts and back

2015 774 citations Piotr Dollár, Xiaodong He et al. profile →
Fast Edge Detection Using Structured Forests

2014 640 citations Piotr Dollár, C. Lawrence Zitnick IEEE Transactions on Pattern Analysis and Machine Intelligence profile →
Structured Forests for Fast Edge Detection

2013 583 citations Piotr Dollár, C. Lawrence Zitnick profile →
Open Catalyst 2020 (OC20) Dataset and Community Challenges

2021 440 citations Abhishek Das, Siddharth Goyal et al. ACS Catalysis profile →
VQA: Visual Question Answering

2016 345 citations Aishwarya Agrawal, Margaret Mitchell et al. International Journal of Computer Vision profile →
Sketch Tokens: A Learned Mid-level Representation for Contour and Object Detection

2013 292 citations Joseph J. Lim, C. Lawrence Zitnick et al. profile →
The Open Catalyst 2022 (OC22) Dataset and Challenges for Oxide Electrocatalysts

2023 174 citations Janice Lan, Muhammed Shuaibi et al. ACS Catalysis profile →
Deep Learning Reconstruction Enables Prospectively Accelerated Clinical Knee MRI

2023 69 citations Patricia M. Johnson, Dana J. Lin et al. Radiology profile →

Peers

Countries citing papers authored by C. Lawrence Zitnick

Since Specialization

Citations

This map shows the geographic impact of C. Lawrence Zitnick's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by C. Lawrence Zitnick with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites C. Lawrence Zitnick more than expected).

Fields of papers citing papers by C. Lawrence Zitnick

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by C. Lawrence Zitnick. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by C. Lawrence Zitnick. The network helps show where C. Lawrence Zitnick may publish in the future.

Co-authorship network of co-authors of C. Lawrence Zitnick

This figure shows the co-authorship network connecting the top 25 collaborators of C. Lawrence Zitnick. A scholar is included among the top collaborators of C. Lawrence Zitnick based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with C. Lawrence Zitnick. C. Lawrence Zitnick is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

#	Work	Indexed citations
1	CatTSunami: Accelerating Transition State Energy Calculations with Pretrained Graph Neural Networks 2025 ·ACS Catalysis ·(unknown),Muhammed Shuaibi,John R. Kitchin,Zachary W. Ulissi,C. Lawrence Zitnick	13
2	Deep Learning Reconstruction Enables Prospectively Accelerated Clinical Knee MRIbreakdown → 2023 ·Radiology ·Patricia M. Johnson,Dana J. Lin,Jure Žbontar,C. Lawrence Zitnick,Anuroop Sriram,Matthew J. Muckley,James S. Babb,Mitchell Kline,Gina A. Ciavarra,(unknown),Mohammad Samim,William R. Walter,(unknown),Thomas Pock,Daniel K. Sodickson,Michael P. Recht,Florian Knöll	69
3	AdsorbML: a leap in efficiency for adsorption energy calculations using generalizable machine learning potentials 2023 ·npj Computational Materials ·Janice Lan,Aini Palizhati,Muhammed Shuaibi,Brandon M. Wood,(unknown),Abhishek Das,Matt Uyttendaele,C. Lawrence Zitnick,Zachary W. Ulissi	54
4	Biological structure and function emerge from scaling unsupervised learning to 250 million protein sequencesbreakdown → 2021 ·Proceedings of the National Academy of Sciences ·Alexander Rives,Joshua Meier,Tom Sercu,Siddharth Goyal,Zeming Lin,Jason Liu,Demi Guo,Myle Ott,C. Lawrence Zitnick,Jerry Ma,Rob Fergus	1429
5	Open Catalyst 2020 (OC20) Dataset and Community Challengesbreakdown → 2021 ·ACS Catalysis ·(unknown),Abhishek Das,Siddharth Goyal,Thibaut Lavril,Muhammed Shuaibi,Morgane Rivière,Kevin Tran,Javier Heras‐Domingo,(unknown),Weihua Hu,Aini Palizhati,Anuroop Sriram,Brandon M. Wood,Junwoong Yoon,Devi Parikh,C. Lawrence Zitnick,Zachary W. Ulissi	440
6	ELF: An Extensive, Lightweight and Flexible Research Platform for Real-time Strategy Games 2017 ·Neural Information Processing Systems ·Yuandong Tian,(unknown),Wenling Shang,Yuxin Wu,C. Lawrence Zitnick	25
7	Inside-Outside Net: Detecting Objects in Context with Skip Pooling and Recurrent Neural Networksbreakdown → 2016 ·Sean Bell,C. Lawrence Zitnick,Kavita Bala,Ross Girshick	915
8	Visual Storytelling 2016 ·Ting-Hao Huang,Francis Ferraro,Nasrin Mostafazadeh,Ishan Misra,Aishwarya Agrawal,Jacob Devlin,Ross Girshick,Xiaodong He,Pushmeet Kohli,Dhruv Batra,C. Lawrence Zitnick,Devi Parikh,Lucy Vanderwende,Michel Galley,Margaret Mitchell	138
9	Learning Visual Classifiers using Human-centric Annotations. 2015 ·arXiv (Cornell University) ·Ishan Misra,C. Lawrence Zitnick,Margaret Mitchell,Ross Girshick	2
10	Learning Common Sense through Visual Abstraction 2015 ·Ramakrishna Vedantam,Xiao Lin,(unknown),C. Lawrence Zitnick,Devi Parikh	35
11	Sketch Tokens: A Learned Mid-level Representation for Contour and Object Detectionbreakdown → 2013 ·Joseph J. Lim,C. Lawrence Zitnick,Piotr Dollár	292
12	A viewer-centric editor for stereoscopic camera 2011 ·IEEE Computer Graphics and Applications ·Sanjeev J. Koppal,C. Lawrence Zitnick,Michael Cohen,Sing Bing Kang,(unknown),Alex Colburn,(unknown)	3
13	Exploring Tiny Images: The Roles of Appearance and Contextual Information for Machine and Human Object Recognition 2011 ·IEEE Transactions on Pattern Analysis and Machine Intelligence ·Devi Parikh,C. Lawrence Zitnick,Tsuhan Chen	31
14	Using photographs to enhance videos of a static scene 2007 ·Pravin Bhat,C. Lawrence Zitnick,Noah Snavely,Aseem Agarwala,Maneesh Agrawala,Michael Cohen,Brian Curless,Sing Bing Kang	76
15	Stereo for Image-Based Rendering using Image Over-Segmentation 2007 ·International Journal of Computer Vision ·C. Lawrence Zitnick,Sing Bing Kang	190
16	Automatic Estimation and Removal of Noise from a Single Image 2007 ·IEEE Transactions on Pattern Analysis and Machine Intelligence ·Ce Liu,Richard Szeliski,Sing Bing Kang,C. Lawrence Zitnick,William T. Freeman	322
17	Maximum entropy for collaborative filtering 2004 ·arXiv (Cornell University) ·C. Lawrence Zitnick,Takeo Kanade	32
18	High-quality video view interpolation using a layered representationbreakdown → 2004 ·ACM Transactions on Graphics ·C. Lawrence Zitnick,Sing Bing Kang,Matthew Uyttendaele,Simon Winder,Richard Szeliski	1014
19	Computing conditional probabilities in large domains by maximizing renyi's quadratic entropy 2003 ·ACS Nano ·C. Lawrence Zitnick,Takeo Kanade	7
20	Gaze-awareness for Videoconferencing: A Software Approach 2000 ·IEEE Multimedia ·Jim Gemmell,C. Lawrence Zitnick,Kentaro Toyama,Steven M. Seitz	25

About C. Lawrence Zitnick

C. Lawrence Zitnick is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Computer Graphics and Computer-Aided Design, having authored 75 papers that have together received 16.7k indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (27 papers), Advanced Vision and Imaging (24 papers) and Multimodal Machine Learning Applications (16 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (12.6k citations), Computer Graphics and Computer-Aided Design (699 citations) and Media Technology (1.5k citations). C. Lawrence Zitnick has collaborated with scholars based in United States, United Kingdom and Japan. Frequent co-authors include Devi Parikh, Ramakrishna Vedantam, Piotr Dollár, Sing Bing Kang, Richard Szeliski, Margaret Mitchell, Aishwarya Agrawal, Dhruv Batra, Jiasen Lu and Stanislaw Antol. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Journal of Chemical Physics and ACS Nano.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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