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Ari Seff
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2020 – today
- 2024
- [c10]Zhenghao Peng, Wenjie Luo, Yiren Lu, Tianyi Shen, Cole Gulino, Ari Seff, Justin Fu:
Improving Agent Behaviors with RL Fine-Tuning for Autonomous Driving. ECCV (25) 2024: 165-181 - [i14]Zhenghao Peng, Wenjie Luo, Yiren Lu, Tianyi Shen, Cole Gulino, Ari Seff, Justin Fu:
Improving Agent Behaviors with RL Fine-tuning for Autonomous Driving. CoRR abs/2409.18343 (2024) - 2023
- [c9]Ari Seff, Brian Cera, Dian Chen, Mason Ng, Aurick Zhou, Nigamaa Nayakanti, Khaled S. Refaat, Rami Al-Rfou, Benjamin Sapp:
MotionLM: Multi-Agent Motion Forecasting as Language Modeling. ICCV 2023: 8545-8556 - [i13]Ari Seff, Brian Cera, Dian Chen, Mason Ng, Aurick Zhou, Nigamaa Nayakanti, Khaled S. Refaat, Rami Al-Rfou, Benjamin Sapp:
MotionLM: Multi-Agent Motion Forecasting as Language Modeling. CoRR abs/2309.16534 (2023) - 2022
- [c8]Ari Seff, Wenda Zhou, Nick Richardson, Ryan P. Adams:
Vitruvion: A Generative Model of Parametric CAD Sketches. ICLR 2022 - 2021
- [i12]Ari Seff, Wenda Zhou, Nick Richardson, Ryan P. Adams:
Vitruvion: A Generative Model of Parametric CAD Sketches. CoRR abs/2109.14124 (2021) - 2020
- [i11]Ari Seff, Yaniv Ovadia, Wenda Zhou, Ryan P. Adams:
SketchGraphs: A Large-Scale Dataset for Modeling Relational Geometry in Computer-Aided Design. CoRR abs/2007.08506 (2020)
2010 – 2019
- 2019
- [c7]Ari Seff, Wenda Zhou, Farhan N. Damani, Abigail G. Doyle, Ryan P. Adams:
Discrete Object Generation with Reversible Inductive Construction. NeurIPS 2019: 10353-10363 - [i10]Ari Seff, Wenda Zhou, Farhan N. Damani, Abigail G. Doyle, Ryan P. Adams:
Discrete Object Generation with Reversible Inductive Construction. CoRR abs/1907.08268 (2019) - 2018
- [j4]Adrian Barbu
, Le Lu
An analysis of robust cost functions for CNN in computer-aided diagnosis. Comput. methods Biomech. Biomed. Eng. Imaging Vis. 6(3): 253-258 (2018) - 2017
- [p2]Holger R. Roth
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 2017: 35-48 - [p1]Hoo-Chang Shin, Le Lu
Interleaved Text/Image Deep Mining on a Large-Scale Radiology Image Database. Deep Learning and Convolutional Neural Networks for Medical Image Computing 2017: 305-321 - [i9]Ari Seff, Alex Beatson, Daniel Suo, Han Liu:
Continual Learning in Generative Adversarial Nets. CoRR abs/1705.08395 (2017) - 2016
- [j3]Samuel J. Weisenthal, Les R. Folio, William Kovacs, Ari Seff, Vana Derderian, Ronald M. Summers, Jianhua Yao
Open-Source Radiation Exposure Extraction Engine (RE3) with Patient-Specific Outlier Detection. J. Digit. Imaging 29(4): 406-419 (2016) - [j2]Hoo-Chang Shin, Le Lu, Lauren Kim, Ari Seff, Jianhua Yao, Ronald M. Summers:
Interleaved Text/Image Deep Mining on a Large-Scale Radiology Database for Automated Image Interpretation. J. Mach. Learn. Res. 17: 107:1-107:31 (2016) - [j1]Holger R. Roth
Improving Computer-Aided Detection Using Convolutional Neural Networks and Random View Aggregation. IEEE Trans. Medical Imaging 35(5): 1170-1181 (2016) - [i8]Ari Seff, Jianxiong Xiao:
Learning from Maps: Visual Common Sense for Autonomous Driving. CoRR abs/1611.08583 (2016) - 2015
- [c6]Hoo-Chang Shin, Le Lu
Interleaved text/image Deep Mining on a large-scale radiology database. CVPR 2015: 1090-1099 - [c5]Chenyi Chen, Ari Seff, Alain L. Kornhauser, Jianxiong Xiao:
DeepDriving: Learning Affordance for Direct Perception in Autonomous Driving. ICCV 2015: 2722-2730 - [c4]Holger R. Roth
Anatomy-specific classification of medical images using deep convolutional nets. ISBI 2015: 101-104 - [c3]Ari Seff, Le Lu
Leveraging Mid-Level Semantic Boundary Cues for Automated Lymph Node Detection. MICCAI (2) 2015: 53-61 - [i7]Holger R. Roth, Christopher T. Lee, Hoo-Chang Shin, Ari Seff, Lauren Kim, Jianhua Yao, Le Lu, Ronald M. Summers:
Anatomy-specific classification of medical images using deep convolutional nets. CoRR abs/1504.04003 (2015) - [i6]Chenyi Chen, Ari Seff, Alain L. Kornhauser, Jianxiong Xiao:
DeepDriving: Learning Affordance for Direct Perception in Autonomous Driving. CoRR abs/1505.00256 (2015) - [i5]Hoo-Chang Shin, Le Lu, Lauren Kim, Ari Seff, Jianhua Yao, Ronald M. Summers:
Interleaved Text/Image Deep Mining on a Large-Scale Radiology Database for Automated Image Interpretation. CoRR abs/1505.00670 (2015) - [i4]Holger R. Roth, Le Lu, Jiamin Liu, Jianhua Yao, Ari Seff, Kevin M. Cherry, Lauren Kim, Ronald M. Summers:
Improving Computer-aided Detection using Convolutional Neural Networks and Random View Aggregation. CoRR abs/1505.03046 (2015) - [i3]Fisher Yu, Yinda Zhang, Shuran Song, Ari Seff, Jianxiong Xiao:
LSUN: Construction of a Large-scale Image Dataset using Deep Learning with Humans in the Loop. CoRR abs/1506.03365 (2015) - 2014
- [c2]Holger R. Roth
A New 2.5D Representation for Lymph Node Detection Using Random Sets of Deep Convolutional Neural Network Observations. MICCAI (1) 2014: 520-527 - [c1]Ari Seff, Le Lu
2D View Aggregation for Lymph Node Detection Using a Shallow Hierarchy of Linear Classifiers. MICCAI (1) 2014: 544-552 - [i2]Holger R. Roth, Le Lu, Ari Seff, Kevin M. Cherry, Joanne Hoffman, Shijun Wang, Jiamin Liu, Evrim Turkbey, Ronald M. Summers:
A New 2.5D Representation for Lymph Node Detection using Random Sets of Deep Convolutional Neural Network Observations. CoRR abs/1406.2639 (2014) - [i1]Ari Seff, Le Lu, Kevin M. Cherry, Holger Roth, Jiamin Liu, Shijun Wang, Joanne Hoffman, Evrim B. Turkbey, Ronald M. Summers:
2D View Aggregation for Lymph Node Detection Using a Shallow Hierarchy of Linear Classifiers. CoRR abs/1408.3337 (2014)
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last updated on 2024-11-04 20:44 CET by the dblp team
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