Eric Kim

According to our database, Eric Kim authored at least 24 papers between 2011 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

An Efficient Deep Neural Network to Classify Large 3D Images With Small Objects.

Jungkyu Park, Jakub Chledowski, Stanislaw Jastrzebski, Jan Witowski, Yanqi Xu, Linda Du, Sushma Gaddam, Eric Kim, Alana Lewin, Ujas Parikh, Anastasia Plaunova, Sardius Chen, Alexandra Millet, James Park, Kristine Pysarenko, Shalin Patel, Julia Goldberg, Melanie Wegener, Linda Moy, Laura Heacock, Beatriu Reig, Krzysztof J. Geras

IEEE Trans. Medical Imaging, January, 2024

2022

MultiBiSage: A Web-Scale Recommendation System Using Multiple Bipartite Graphs at Pinterest.

Saket Gurukar, Nikil Pancha, Andrew Zhai, Eric Kim, Samson Hu, Srinivasan Parthasarathy, Charles Rosenberg, Jure Leskovec

Proc. VLDB Endow., 2022

3D-GMIC: an efficient deep neural network to find small objects in large 3D images.

Jungkyu Park, Jakub Chledowski, Stanislaw Jastrzebski, Jan Witowski, Yanqi Xu, Linda Du, Sushma Gaddam, Eric Kim, Alana Lewin, Ujas Parikh, Anastasia Plaunova, Sardius Chen, Alexandra Millet, James Park, Kristine Pysarenko, Shalin Patel, Julia Goldberg, Melanie Wegener, Linda Moy, Laura Heacock, Beatriu Reig, Krzysztof J. Geras

CoRR, 2022

2021

Lessons from the first DBTex Challenge.

Jungkyu Park, Yoel Shoshan, Robert Martí, Pablo Gómez del Campo, Vadim Ratner, Daniel Khapun, Aviad Zlotnick, Ella Barkan, Flora Gilboa-Solomon, Jakub Chledowski, Jan Witowski, Alexandra Millet, Eric Kim, Alana Lewin, Kristine Pysarenko, Sardius Chen, Julia Goldberg, Shalin Patel, Anastasia Plaunova, Melanie Wegener, Stacey Wolfson, Jiyon Lee, Sana Hava, Sindhoora Murthy, Linda Du, Sushma Gaddam, Ujas Parikh, Laura Heacock, Linda Moy, Beatriu Reig, Michal Rosen-Zvi, Krzysztof J. Geras

Nat. Mach. Intell., 2021

Multidisciplinary Sprint Program Achieved Specialty-Specific EHR Optimization in 20 Clinics.

Amber Sieja, Eric Kim, Heather L. Holmstrom, Stephen Rotholz, Chen-Tan Lin, Christine Gonzalez, Cortney Arellano, Sarah Hutchings, Denise Henderson, Katie Markley

Appl. Clin. Inform., 2021

2020

Deep Neural Networks Improve Radiologists' Performance in Breast Cancer Screening.

Nan Wu, Jason Phang, Jungkyu Park, Yiqiu Shen, Zhe Huang, Masha Zorin, Stanislaw Jastrzebski, Thibault Févry, Joe Katsnelson, Eric Kim, Stacey Wolfson, Ujas Parikh, Sushma Gaddam, Leng Leng Young Lin, Kara Ho, Joshua D. Weinstein, Beatriu Reig, Yiming Gao, Hildegard Toth, Kristine Pysarenko, Alana Lewin, Jiyon Lee, Krystal Airola, Eralda Mema, Stephanie Chung, Esther Hwang, Naziya Samreen, Sungheon Gene Kim, Laura Heacock, Linda Moy, Kyunghyun Cho, Krzysztof J. Geras

IEEE Trans. Medical Imaging, 2020

Toward Transformer-Based Object Detection.

Josh Beal, Eric Kim, Eric Tzeng, Dong Huk Park, Andrew Zhai, Dmitry Kislyuk

CoRR, 2020

Differences between human and machine perception in medical diagnosis.

Taro Makino, Stanislaw Jastrzebski, Witold Oleszkiewicz, Celin Chacko, Robin Ehrenpreis, Naziya Samreen, Chloe Chhor, Eric Kim, Jiyon Lee, Kristine Pysarenko, Beatriu Reig, Hildegard Toth, Divya Awal, Linda Du, Alice Kim, James Park, Daniel K. Sodickson, Laura Heacock, Linda Moy, Kyunghyun Cho, Krzysztof J. Geras

CoRR, 2020

Shop The Look: Building a Large Scale Visual Shopping System at Pinterest.

Raymond Shiau, Hao-Yu Wu, Eric Kim, Yue Li Du, Anqi Guo, Zhiyuan Zhang, Eileen Li, Kunlong Gu, Charles Rosenberg, Andrew Zhai

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Bootstrapping Complete The Look at Pinterest.

Eileen Li, Eric Kim, Andrew Zhai, Josh Beal, Kunlong Gu

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

CausalX: Causal eXplanations and Block Multilinear Factor Analysis.

M. Alex O. Vasilescu, Eric Kim, Xiao S. Zeng

Proceedings of the 25th International Conference on Pattern Recognition, 2020

Is That What I Think It Is? Impact of Screen Size on User Ability to Identify Human Activities.

Ronnie Bush, Sheiloh Carlos, Earl Dean, Eric Kim, Amy Miranda, Rob Semmens, Lawrence G. Shattuck, John Dillard, Alejandro Hernandez

Proceedings of the Advances in Usability, User Experience, Wearable and Assistive Technology, 2020

2019

Compositional Hierarchical Tensor Factorization: Representing Hierarchical Intrinsic and Extrinsic Causal Factors.

M. Alex O. Vasilescu, Eric Kim

CoRR, 2019

Complete the Look: Scene-Based Complementary Product Recommendation.

Wang-Cheng Kang, Eric Kim, Jure Leskovec, Charles Rosenberg, Julian J. McAuley

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

Structure and variability in human tongue muscle anatomy.

Maureen L. Stone, Jonghye Woo, Junghoon Lee, Tera Poole, Amy Seagraves, Michael Chung, Eric Kim, Emi Z. Murano, Jerry L. Prince, Silvia S. Blemker

Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2018

Breast Density Classification with Deep Convolutional Neural Networks.

Nan Wu, Krzysztof J. Geras, Yiqiu Shen, Jingyi Su, Sungheon Gene Kim, Eric Kim, Stacey Wolfson, Linda Moy, Kyunghyun Cho

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

2016

A Part-Based, Multiresolution, TensorFaces Approach to Image-Based Facial Verification.

Eric Kim

PhD thesis, 2016

2013

Improved Support for Machine-assisted Ballot-level Audits.

Eric Kim, Nicholas Carlini, Andrew Chang, George Yiu, Kai Wang, David A. Wagner

Proceedings of the 2013 Electronic Voting Technology Workshop / Workshop on Trustworthy Elections, 2013

Maximal persistent surveillance under safety constraints.

Eduardo Arvelo, Eric Kim, Nuno C. Martins

Proceedings of the 2013 IEEE International Conference on Robotics and Automation, 2013

2012

Memoryless Control Design for Persistent Surveillance under Safety Constraints

Eduardo Arvelo, Eric Kim, Nuno C. Martins

CoRR, 2012

Operator-Assisted Tabulation of Optical Scan Ballots.

Kai Wang, Nicholas Carlini, Eric Kim, Ivan Motyashov, Daniel Nguyen, David A. Wagner

Proceedings of the 2012 Electronic Voting Technology Workshop / Workshop on Trustworthy Elections, 2012

Sudden noise source localization system for intelligent automobile application with acoustic sensors.

Suwon Shon, Eric Kim, Jongsung Yoon, Hanseok Ko

Proceedings of the IEEE International Conference on Consumer Electronics, 2012

Work in progress: Outreach assessment: Measuring engagement: An integrated approach for learning.

Lizabeth Schlemer, John Y. Oliver, Katherine C. Chen, Sofia Rodriguez Mata, Eric Kim

Proceedings of the IEEE Frontiers in Education Conference, 2012

2011

An Analysis of Write-in Marks on Optical Scan Ballots.

Theron Ji, Eric Kim, Raji Srikantan, Alan Tsai, Arel Cordero, David A. Wagner

Proceedings of the 2011 Electronic Voting Technology Workshop / Workshop on Trustworthy Elections, 2011