Ari Seff

According to our database, Ari Seff authored at least 19 papers between 2014 and 2023.

Collaborative distances:

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

2023

MotionLM: Multi-Agent Motion Forecasting as Language Modeling.

Ari Seff, Brian Cera, Dian Chen, Mason Ng, Aurick Zhou, Nigamaa Nayakanti, Khaled S. Refaat, Rami Al-Rfou, Benjamin Sapp

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Vitruvion: A Generative Model of Parametric CAD Sketches.

Ari Seff, Wenda Zhou, Nick Richardson, Ryan P. Adams

Proceedings of the Tenth International Conference on Learning Representations, 2022

2020

SketchGraphs: A Large-Scale Dataset for Modeling Relational Geometry in Computer-Aided Design.

Ari Seff, Yaniv Ovadia, Wenda Zhou, Ryan P. Adams

CoRR, 2020

2019

Discrete Object Generation with Reversible Inductive Construction.

Ari Seff, Wenda Zhou, Farhan N. Damani, Abigail G. Doyle, Ryan P. Adams

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2018

An analysis of robust cost functions for CNN in computer-aided diagnosis.

Adrian Barbu, Le Lu, Holger Roth, Ari Seff, Ronald M. Summers

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

2017

Interleaved Text/Image Deep Mining on a Large-Scale Radiology Image Database.

Hoo-Chang Shin, Le Lu, Lauren Kim, Ari Seff, Jianhua Yao, Ronald M. Summers

Proceedings of the Deep Learning and Convolutional Neural Networks for Medical Image Computing, 2017

Efficient False Positive Reduction in Computer-Aided Detection Using Convolutional Neural Networks and Random View Aggregation.

Holger R. Roth, Le Lu, Jiamin Liu, Jianhua Yao, Ari Seff, Kevin M. Cherry, Lauren Kim, Ronald M. Summers

Proceedings of the Deep Learning and Convolutional Neural Networks for Medical Image Computing, 2017

Continual Learning in Generative Adversarial Nets.

Ari Seff, Alex Beatson, Daniel Suo, Han Liu

CoRR, 2017

2016

Improving Computer-Aided Detection Using Convolutional Neural Networks and Random View Aggregation.

Holger R. Roth, Le Lu, Jiamin Liu, Jianhua Yao, Ari Seff, Kevin M. Cherry, Lauren Kim, Ronald M. Summers

IEEE Trans. Medical Imaging, 2016

Interleaved Text/Image Deep Mining on a Large-Scale Radiology Database for Automated Image Interpretation.

Hoo-Chang Shin, Le Lu, Lauren Kim, Ari Seff, Jianhua Yao, Ronald M. Summers

J. Mach. Learn. Res., 2016

Open-Source Radiation Exposure Extraction Engine (RE3) with Patient-Specific Outlier Detection.

Samuel J. Weisenthal, Les R. Folio, William Kovacs, Ari Seff, Vana Derderian, Ronald M. Summers, Jianhua Yao

J. Digit. Imaging, 2016

Learning from Maps: Visual Common Sense for Autonomous Driving.

Ari Seff, Jianxiong Xiao

CoRR, 2016

2015

LSUN: Construction of a Large-scale Image Dataset using Deep Learning with Humans in the Loop.

Fisher Yu, Yinda Zhang, Shuran Song, Ari Seff, Jianxiong Xiao

CoRR, 2015

Leveraging Mid-Level Semantic Boundary Cues for Automated Lymph Node Detection.

Ari Seff, Le Lu, Adrian Barbu, Holger Roth, Hoo-Chang Shin, Ronald M. Summers

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, 2015

Anatomy-specific classification of medical images using deep convolutional nets.

Holger R. Roth, Christopher T. Lee, Hoo-Chang Shin, Ari Seff, Lauren Kim, Jianhua Yao, Le Lu, Ronald M. Summers

Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015

DeepDriving: Learning Affordance for Direct Perception in Autonomous Driving.

Chenyi Chen, Ari Seff, Alain L. Kornhauser, Jianxiong Xiao

Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Interleaved text/image Deep Mining on a large-scale radiology database.

Hoo-Chang Shin, Le Lu, Lauren Kim, Ari Seff, Jianhua Yao, Ronald M. Summers

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2014

2D View Aggregation for Lymph Node Detection Using a Shallow Hierarchy of Linear Classifiers.

Ari Seff, Le Lu, Kevin M. Cherry, Holger R. Roth, Jiamin Liu, Shijun Wang, Joanne Hoffman, Evrim B. Turkbey, Ronald M. Summers

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014

A New 2.5D Representation for Lymph Node Detection Using Random Sets of Deep Convolutional Neural Network Observations.

Holger R. Roth, Le Lu, Ari Seff, Kevin M. Cherry, Joanne Hoffman, Shijun Wang, Jiamin Liu, Evrim Turkbey, Ronald M. Summers

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014