Ari Seff - RankMe

31 papers A* 5Journal 19Unranked 5

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Scaling Laws of Motion Forecasting and Planning - A Technical Report. CoRR Mustafa Baniodeh, Kratarth Goel, Scott Ettinger, Carlos Fuertes, Ari Seff, Tim Shen, Cole Gulino, Chenjie Yang, Ghassen Jerfel, Dokook Choe, Rui Wang, Vinutha Kallem, Sergio Casas, Rami Al-Rfou, Benjamin Sapp, Dragomir Anguelov
2024	—	`conf`	Improving Agent Behaviors with RL Fine-Tuning for Autonomous Driving. ECCV (25) Zhenghao Peng, Wenjie Luo, Yiren Lu, Tianyi Shen, Cole Gulino, Ari Seff, Justin Fu
2024	J	`jnl`	Improving Agent Behaviors with RL Fine-tuning for Autonomous Driving. CoRR Zhenghao Peng, Wenjie Luo, Yiren Lu, Tianyi Shen, Cole Gulino, Ari Seff, Justin Fu
2023	A*	`conf`	MotionLM: Multi-Agent Motion Forecasting as Language Modeling. ICCV Ari Seff, Brian Cera, Dian Chen, Mason Ng, Aurick Zhou, Nigamaa Nayakanti, Khaled S. Refaat, Rami Al-Rfou, Benjamin Sapp
2023	J	`jnl`	MotionLM: Multi-Agent Motion Forecasting as Language Modeling. CoRR Ari Seff, Brian Cera, Dian Chen, Mason Ng, Aurick Zhou, Nigamaa Nayakanti, Khaled S. Refaat, Rami Al-Rfou, Benjamin Sapp
2022	A*	`conf`	Vitruvion: A Generative Model of Parametric CAD Sketches. ICLR Ari Seff, Wenda Zhou, Nick Richardson, Ryan P. Adams
2021	J	`jnl`	Vitruvion: A Generative Model of Parametric CAD Sketches. CoRR Ari Seff, Wenda Zhou, Nick Richardson, Ryan P. Adams
2020	J	`jnl`	SketchGraphs: A Large-Scale Dataset for Modeling Relational Geometry in Computer-Aided Design. CoRR Ari Seff, Yaniv Ovadia, Wenda Zhou, Ryan P. Adams
2019	A*	`conf`	Discrete Object Generation with Reversible Inductive Construction. NeurIPS Ari Seff, Wenda Zhou, Farhan N. Damani, Abigail G. Doyle, Ryan P. Adams
2019	J	`jnl`	Discrete Object Generation with Reversible Inductive Construction. CoRR Ari Seff, Wenda Zhou, Farhan N. Damani, Abigail G. Doyle, Ryan P. Adams
2018	J	`jnl`	An analysis of robust cost functions for CNN in computer-aided diagnosis. Comput. methods Biomech. Biomed. Eng. Imaging Vis. Adrian Barbu, Le Lu, Holger Roth, Ari Seff, Ronald M. Summers
2017	J	`jnl`	Continual Learning in Generative Adversarial Nets. CoRR Ari Seff, Alex Beatson, Daniel Suo, Han Liu
2017	—	`ch.`	Efficient False Positive Reduction in Computer-Aided Detection Using Convolutional Neural Networks and Random View Aggregation. Deep Learning and Convolutional Neural Networks for Medical Image Computing Holger R. Roth, Le Lu, Jiamin Liu, Jianhua Yao, Ari Seff, Kevin M. Cherry, Lauren Kim, Ronald M. Summers
2017	—	`ch.`	Interleaved Text/Image Deep Mining on a Large-Scale Radiology Image Database. Deep Learning and Convolutional Neural Networks for Medical Image Computing Hoo-Chang Shin, Le Lu, Lauren Kim, Ari Seff, Jianhua Yao, Ronald M. Summers
2016	J	`jnl`	Improving Computer-Aided Detection Using Convolutional Neural Networks and Random View Aggregation. IEEE Trans. Medical Imaging Holger R. Roth, Le Lu, Jiamin Liu, Jianhua Yao, Ari Seff, Kevin M. Cherry, Lauren Kim, Ronald M. Summers
2016	J	`jnl`	Interleaved Text/Image Deep Mining on a Large-Scale Radiology Database for Automated Image Interpretation. J. Mach. Learn. Res. Hoo-Chang Shin, Le Lu, Lauren Kim, Ari Seff, Jianhua Yao, Ronald M. Summers
2016	J	`jnl`	Learning from Maps: Visual Common Sense for Autonomous Driving. CoRR Ari Seff, Jianxiong Xiao
2016	J	`jnl`	Open-Source Radiation Exposure Extraction Engine (RE3) with Patient-Specific Outlier Detection. J. Digit. Imaging Samuel J. Weisenthal, Les R. Folio, William Kovacs, Ari Seff, Vana Derderian, Ronald M. Summers, Jianhua Yao
2015	—	`conf`	Anatomy-specific classification of medical images using deep convolutional nets. ISBI Holger R. Roth, Christopher T. Lee, Hoo-Chang Shin, Ari Seff, Lauren Kim, Jianhua Yao, Le Lu, Ronald M. Summers
2015	J	`jnl`	Anatomy-specific classification of medical images using deep convolutional nets. CoRR Holger R. Roth, Christopher T. Lee, Hoo-Chang Shin, Ari Seff, Lauren Kim, Jianhua Yao, Le Lu, Ronald M. Summers
2015	A*	`conf`	DeepDriving: Learning Affordance for Direct Perception in Autonomous Driving. ICCV Chenyi Chen, Ari Seff, Alain L. Kornhauser, Jianxiong Xiao
2015	J	`jnl`	DeepDriving: Learning Affordance for Direct Perception in Autonomous Driving. CoRR Chenyi Chen, Ari Seff, Alain L. Kornhauser, Jianxiong Xiao
2015	J	`jnl`	Improving Computer-aided Detection using Convolutional Neural Networks and Random View Aggregation. CoRR Holger R. Roth, Le Lu, Jiamin Liu, Jianhua Yao, Ari Seff, Kevin M. Cherry, Lauren Kim, Ronald M. Summers
2015	J	`jnl`	Interleaved Text/Image Deep Mining on a Large-Scale Radiology Database for Automated Image Interpretation. CoRR Hoo-Chang Shin, Le Lu, Lauren Kim, Ari Seff, Jianhua Yao, Ronald M. Summers
2015	A*	`conf`	Interleaved text/image Deep Mining on a large-scale radiology database. CVPR Hoo-Chang Shin, Le Lu, Lauren Kim, Ari Seff, Jianhua Yao, Ronald M. Summers
2015	J	`jnl`	LSUN: Construction of a Large-scale Image Dataset using Deep Learning with Humans in the Loop. CoRR Fisher Yu, Yinda Zhang, Shuran Song, Ari Seff, Jianxiong Xiao
2015	—	`conf`	Leveraging Mid-Level Semantic Boundary Cues for Automated Lymph Node Detection. MICCAI (2) Ari Seff, Le Lu, Adrian Barbu, Holger Roth, Hoo-Chang Shin, Ronald M. Summers
2014	—	`conf`	2D View Aggregation for Lymph Node Detection Using a Shallow Hierarchy of Linear Classifiers. MICCAI (1) Ari Seff, Le Lu, Kevin M. Cherry, Holger R. Roth, Jiamin Liu, Shijun Wang, Joanne Hoffman, Evrim B. Turkbey, Ronald M. Summers
2014	J	`jnl`	2D View Aggregation for Lymph Node Detection Using a Shallow Hierarchy of Linear Classifiers. CoRR Ari Seff, Le Lu, Kevin M. Cherry, Holger Roth, Jiamin Liu, Shijun Wang, Joanne Hoffman, Evrim B. Turkbey, Ronald M. Summers
2014	—	`conf`	A New 2.5D Representation for Lymph Node Detection Using Random Sets of Deep Convolutional Neural Network Observations. MICCAI (1) Holger R. Roth, Le Lu, Ari Seff, Kevin M. Cherry, Joanne Hoffman, Shijun Wang, Jiamin Liu, Evrim Turkbey, Ronald M. Summers
2014	J	`jnl`	A New 2.5D Representation for Lymph Node Detection using Random Sets of Deep Convolutional Neural Network Observations. CoRR Holger R. Roth, Le Lu, Ari Seff, Kevin M. Cherry, Joanne Hoffman, Shijun Wang, Jiamin Liu, Evrim Turkbey, Ronald M. Summers