🧑‍🔬 C. Lawrence Zitnick — all works

36 works · ← C. Lawrence Zitnick

1. Microsoft COCO: Common Objects in ContextarXiv:1405.0312Tsung-Yi Lin, Michael Maire, Serge Belongie, et al.2014 · 5,131 citations
2. VQA: Visual Question Answering ↗IEEE International Conference on Computer Vision (ICCV) · no summary yetStanislaw Antol et al.2015 · 4,238 citations
3. Microsoft COCO Captions: Data Collection and Evaluation ServerarXiv:1504.00325Xinlei Chen, Hao Fang, Tsung-Yi Lin, et al.2015 · 1,948 citations
4. VQA: Visual Question Answering ↗arXiv (Cornell University) · no summary yetAishwarya Agrawal et al.2015 · 1,946 citations
5. From Captions to Visual Concepts and Back ↗arXiv:1411.4952 · no summary yetHao Fang et al.2014 · 1,450 citations
6. Inside-Outside Net: Detecting Objects in Context with Skip Pooling and Recurrent Neural Networks ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetSean Bell et al.2016 · 1,327 citations
7. CIDEr: Consensus-based Image Description EvaluationarXiv:1411.5726Ramakrishna Vedantam, C. Lawrence Zitnick, Devi Parikh2014 · 827 citations
8. Open Catalyst 2020 (OC20) Dataset and Community Challenges ↗ACS Catalysis · no summary yetLowik Chanussot et al.2021 · 789 citations
9. Inferring and Executing Programs for Visual Reasoning ↗arXiv:1705.03633 · no summary yetJustin Johnson et al.2017 · 557 citations
10. Mind's eye: A recurrent visual representation for image caption generation ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetXinlei Chen, C. Lawrence Zitnick2015 · 547 citations
11. Human Attention in Visual Question Answering: Do Humans and Deep Networks look at the same regions? ↗Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing · no summary yetAbhishek Das et al.2016 · 481 citations
12. CLEVR: A Diagnostic Dataset for Compositional Language and Elementary Visual ReasoningarXiv:1612.06890Justin Johnson, Bharath Hariharan, Laurens van der Maaten, et al.2016 · 464 citations
13. Sketch Tokens: A Learned Mid-level Representation for Contour and Object Detection ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetJoseph J. Lim, C. Lawrence Zitnick, Piotr Dollár2013 · 435 citations
14. Visual StorytellingConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Ting-Hao Kenneth Huang, Francis Ferraro, Nasrin Mostafazadeh, et al.2016 · 356 citations
15. Bringing Semantics into Focus Using Visual Abstraction ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetC. Lawrence Zitnick, Devi Parikh2013 · 243 citations
16. Seeing through the Human Reporting Bias: Visual Classifiers from Noisy Human-Centric Labels ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetIshan Misra et al.2016 · 231 citations
17. Learning the Visual Interpretation of Sentences ↗IEEE International Conference on Computer Vision (ICCV) · no summary yetC. Lawrence Zitnick, Devi Parikh, Lucy Vanderwende2013 · 184 citations
18. Exploring Nearest Neighbor Approaches for Image Captioning ↗arXiv (Cornell University) · no summary yetJacob Devlin et al.2015 · 181 citations
19. Exploring Weak Stabilization for Motion Feature Extraction ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetDennis Park et al.2013 · 133 citations
20. Zero-Shot Learning via Visual Abstraction ↗Lecture notes in computer science · no summary yetStanislaw Antol, C. Lawrence Zitnick, Devi Parikh2014 · 100 citations
21. Learning Common Sense through Visual Abstraction ↗IEEE International Conference on Computer Vision (ICCV) · no summary yetRamakrishna Vedantam et al.2015 · 91 citations
22. Adopting Abstract Images for Semantic Scene Understanding ↗IEEE Transactions on Pattern Analysis and Machine Intelligence · no summary yetC. Lawrence Zitnick, Ramakrishna Vedantam, Devi Parikh2014 · 80 citations
23. From appearance to context-based recognition: Dense labeling in small images ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetDevi Parikh, C. Lawrence Zitnick, Tsuhan Chen2008 · 64 citations
24. We are Humor Beings: Understanding and Predicting Visual Humor ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetArjun Chandrasekaran et al.2016 · 56 citations
25. The role of features, algorithms and data in visual recognition ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetDevi Parikh, C. Lawrence Zitnick2010 · 50 citations
26. Determining Patch Saliency Using Low-Level Context ↗Lecture notes in computer science · no summary yetDevi Parikh, C. Lawrence Zitnick, Tsuhan Chen2008 · 45 citations
27. Exploring Tiny Images: The Roles of Appearance and Contextual Information for Machine and Human Object Recognition ↗IEEE Transactions on Pattern Analysis and Machine Intelligence · no summary yetDevi Parikh, C. Lawrence Zitnick, Tsuhan Chen2011 · 43 citations
28. Measuring Machine Intelligence Through Visual Question Answering ↗AI Magazine · no summary yetC. Lawrence Zitnick et al.2016 · 33 citations
29. Unsupervised learning of hierarchical spatial structures in images ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetDevi Parikh, C. Lawrence Zitnick, Tsuhan Chen2009 · 32 citations
30. Finding the weakest link in person detectors ↗no summary yetDevi Parikh, C. Lawrence Zitnick2011 · 31 citations
31. ForceNet: A Graph Neural Network for Large-Scale Quantum Calculations ↗arXiv (Cornell University) · no summary yetWeihua Hu et al.2021 · 28 citations
32. An Introduction to Electrocatalyst Design using Machine Learning for Renewable Energy Storage ↗arXiv (Cornell University) · no summary yetC. Lawrence Zitnick et al.2020 · 28 citations
33. Creative Sketch Generation ↗arXiv (Cornell University) · no summary yetSongwei Ge et al.2020 · 23 citations
34. The Open DAC 2025 Dataset for Sorbent Discovery in Direct Air Capture ↗arXiv (Cornell University) · no summary yetSriram, Anuroop et al.2025 · 7 citations
35. Collecting Image Description Datasets using Crowdsourcing ↗arXiv (Cornell University) · no summary yetRamakrishna Vedantam, C. Lawrence Zitnick, Devi Parikh2014 · 5 citations
36. Exploring Crowd Co-creation Scenarios for Sketches ↗arXiv (Cornell University) · no summary yetDevi Parikh, C. Lawrence Zitnick2020 · 2 citations

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