Zitnick, C. Lawrence

Microsoft COCO: Common Objects in Context

Lin, T.-Y., Maire, M., Belongie, S., Hays, J., Perona, P., Ramanan, D., Dollár, P., & Zitnick, C. L. (2014) · Lecture Notes in Computer Science

Advanced Neural Network ApplicationsAdvanced Image and Video Retrieval Techniques

Cited by 45,460

CIDEr: Consensus-based image description evaluation

Vedantam, R., Zitnick, C. L., & Parikh, D. (2015) · 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

Multimodal Machine Learning ApplicationsImage Retrieval and Classification Techniques

Cited by 4,845

VQA: Visual Question Answering

Antol, S., Agrawal, A., Lu, J., Mitchell, M., Batra, D., Zitnick, C. L., & Parikh, D. (2015) · 2015 IEEE International Conference on Computer Vision (ICCV)

Multimodal Machine Learning ApplicationsVisual Attention and Saliency Detection

Cited by 4,487

Biological structure and function emerge from scaling unsupervised learning to 250 million protein sequences

Rives, A., Meier, J., Sercu, T., Goyal, S., Lin, Z., Liu, J., Guo, D., Ott, M., Zitnick, C. L., Ma, J., et al. (2021) · Proceedings of the National Academy of Sciences

Machine Learning in BioinformaticsProtein Structure and Dynamics

Cited by 3,286

Biological structure and function emerge from scaling unsupervised learning to 250 million protein sequences

Rives, A., Meier, J., Sercu, T., Goyal, S., Lin, Z., Liu, J., Guo, D., Ott, M., Zitnick, C. L., Ma, J., et al. (2019) · Proceedings of the National Academy of Sciences

Machine Learning in BioinformaticsProtein Structure and Dynamics

Cited by 3,280

Edge Boxes: Locating Object Proposals from Edges

Zitnick, C. L., & Dollár, P. (2014) · Lecture Notes in Computer Science

Advanced Neural Network ApplicationsVisual Attention and Saliency Detection

Cited by 2,656

Microsoft COCO: Common Objects in Context

Lin, T.-Y., Maire, M., Belongie, S., Bourdev, L., Girshick, R., Hays, J., Perona, P., Ramanan, D., Zitnick, C. L., & Dollár, P. (2014) · arXiv

Human Pose and Action RecognitionAdvanced Neural Network Applications

Cited by 2,579

CLEVR: A Diagnostic Dataset for Compositional Language and Elementary Visual Reasoning

Johnson, J., Hariharan, B., van der Maaten, L., Fei-Fei, L., Zitnick, C. L., & Girshick, R. (2017) · 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

Multimodal Machine Learning ApplicationsLogic, Reasoning, and Knowledge

Cited by 1,781

Microsoft COCO Captions: Data Collection and Evaluation Server

Chen, X., Fang, H., Lin, T.-Y., Vedantam, R., Gupta, S., Dollar, P., & Zitnick, C. L. (2015) · arXiv

Multimodal Machine Learning ApplicationsImage Retrieval and Classification Techniques

Cited by 1,614

Shuffle and Learn: Unsupervised Learning Using Temporal Order Verification

Misra, I., Zitnick, C. L., & Hebert, M. (2016) · Lecture Notes in Computer Science

Human Pose and Action RecognitionDomain Adaptation and Few-Shot Learning

Cited by 779

VQA: Visual Question Answering: www.visualqa.org

Agrawal, A., Lu, J., Antol, S., Mitchell, M., Zitnick, C. L., Parikh, D., & Batra, D. (2017) · International Journal of Computer Vision

Multimodal Machine Learning ApplicationsVisual Attention and Saliency Detection

Cited by 570

High-quality video view interpolation using a layered representation

Zitnick, C. L., Kang, S. B., Uyttendaele, M., Winder, S., & Szeliski, R. (2004) · ACM SIGGRAPH 2004 Papers

Advanced Vision and ImagingComputer Graphics and Visualization Techniques

Cited by 367

The Open Catalyst 2022 (OC22) Dataset and Challenges for Oxide Electrocatalysts

Tran, R., Lan, J., Shuaibi, M., Wood, B. M., Goyal, S., Das, A., Heras-Domingo, J., Kolluru, A., Rizvi, A., Shoghi, N., et al. (2023) · ACS Catalysis

Machine Learning in Materials ScienceElectrocatalysts for Energy Conversion

Cited by 329