Improving Agent Behaviors with RL Fine-Tuning for Autonomous Driving.
Proceedings of the Computer Vision - ECCV 2024, 2024
MotionLM: Multi-Agent Motion Forecasting as Language Modeling.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
Vitruvion: A Generative Model of Parametric CAD Sketches.
Proceedings of the Tenth International Conference on Learning Representations, 2022
SketchGraphs: A Large-Scale Dataset for Modeling Relational Geometry in Computer-Aided Design.
CoRR, 2020
Discrete Object Generation with Reversible Inductive Construction.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
An analysis of robust cost functions for CNN in computer-aided diagnosis.
Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2018
Interleaved Text/Image Deep Mining on a Large-Scale Radiology Image Database.
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.
Proceedings of the Deep Learning and Convolutional Neural Networks for Medical Image Computing, 2017
Continual Learning in Generative Adversarial Nets.
CoRR, 2017
Improving Computer-Aided Detection Using Convolutional Neural Networks and Random View Aggregation.
IEEE Trans. Medical Imaging, 2016
Interleaved Text/Image Deep Mining on a Large-Scale Radiology Database for Automated Image Interpretation.
J. Mach. Learn. Res., 2016
Open-Source Radiation Exposure Extraction Engine (RE3) with Patient-Specific Outlier Detection.
J. Digit. Imaging, 2016
Learning from Maps: Visual Common Sense for Autonomous Driving.
CoRR, 2016
LSUN: Construction of a Large-scale Image Dataset using Deep Learning with Humans in the Loop.
CoRR, 2015
Leveraging Mid-Level Semantic Boundary Cues for Automated Lymph Node Detection.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, 2015
Anatomy-specific classification of medical images using deep convolutional nets.
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015
DeepDriving: Learning Affordance for Direct Perception in Autonomous Driving.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015
Interleaved text/image Deep Mining on a large-scale radiology database.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015
2D View Aggregation for Lymph Node Detection Using a Shallow Hierarchy of Linear Classifiers.
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.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014