Ari Seff

Computer Science · Physical Sciences

17h-index5.0kcitations28works1.72yr avg
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Research Topics

AI in cancer detection(10), COVID-19 diagnosis using AI(7), Autonomous Vehicle Technology and Safety(6), Radiomics and Machine Learning in Medical Imaging(6), Topic Modeling(4)

Publications28 total

Scaling Laws of Motion Forecasting and Planning -- Technical Report
arXiv (Cornell University)·2025Open Access
Improving Agent Behaviors with RL Fine-Tuning for Autonomous Driving
Lecture notes in computer science·2024· 4 cited
Improving Agent Behaviors with RL Fine-tuning for Autonomous Driving
arXiv (Cornell University)·2024· 1 citedOpen Access
MotionLM: Multi-Agent Motion Forecasting as Language Modeling
2023· 72 cited
MotionLM: Multi-Agent Motion Forecasting as Language Modeling
arXiv (Cornell University)·2023· 1 citedOpen Access
Vitruvion: A Generative Model of Parametric CAD Sketches
arXiv (Cornell University)·2021· 1 citedOpen Access
SketchGraphs: A Large-Scale Dataset for Modeling Relational Geometry in Computer-Aided Design
arXiv (Cornell University)·2020· 36 citedOpen Access
Discrete Object Generation with Reversible Inductive Construction
arXiv (Cornell University)·2019· 3 citedOpen Access
Continual Learning in Generative Adversarial Nets
arXiv (Cornell University)·2017· 98 citedOpen Access
Interleaved Text/Image Deep Mining on a Large-Scale Radiology Image Database
Advances in computer vision and pattern recognition·2017· 5 cited
Efficient False Positive Reduction in Computer-Aided Detection Using Convolutional Neural Networks and Random View Aggregation
Advances in computer vision and pattern recognition·2017· 7 cited
Learning from Maps: Visual Common Sense for Autonomous Driving
arXiv (Cornell University)·2016· 32 citedOpen Access
An analysis of robust cost functions for CNN in computer-aided diagnosis
Computer Methods in Biomechanics and Biomedical Engineering Imaging & Visualization·2016· 25 cited
Interleaved text/image deep mining on a large-scale radiology database for automated image interpretation
arXiv (Cornell University)·2016· 38 citedOpen Access
Open-Source Radiation Exposure Extraction Engine (RE3) with Patient-Specific Outlier Detection
Journal of Digital Imaging·2015· 5 citedOpen Access
DeepDriving: Learning Affordance for Direct Perception in Autonomous Driving
2015· 1.7k cited
Improving Computer-Aided Detection UsingConvolutional Neural Networks and Random View Aggregation
IEEE Transactions on Medical Imaging·2015· 579 citedOpen Access
LSUN: Construction of a Large-scale Image Dataset using Deep Learning with Humans in the Loop
arXiv (Cornell University)·2015· 1.4k citedOpen Access
Interleaved text/image Deep Mining on a large-scale radiology database
2015· 96 cited
Interleaved Text/Image Deep Mining on a Large-Scale Radiology Database for Automated Image Interpretation
arXiv (Cornell University)·2015· 46 citedOpen Access
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Frequent Co-authors

Le Lü(13), Ronald M. Summers(13), Holger R. Roth(9), Jianhua Yao(8), Lauren Kim(7), Kevin M. Cherry(6), Hoo-Chang Shin(6), Jianxiong Xiao(4), Jiamin Liu(4), Shijun Wang(4), Evrim Türkbey(4), Joanne Hoffman(3), Rami Al‐Rfou(3), Benjamin Sapp(3), Wenda Zhou(3), Ryan P. Adams(3), Chenyi Chen(2), Alain L. Kornhauser(2), Jiamin Liu(2), Brian Cera(2)