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Pseudo-LiDAR From Visual Depth Estimation: Bridging the Gap in 3D Object Detection for Autonomous Driving

2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2019, p.8437-8445

2019

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Unsupervised Learning of Image Manifolds by Semidefinite Programming

International journal of computer vision, 2006-10, Vol.70 (1), p.77-90

2006

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End-to-End Pseudo-LiDAR for Image-Based 3D Object Detection

2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020, p.5880-5889

2020

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Correlator convolutional neural networks as an interpretable architecture for image-like quantum matter data

Nature communications, 2021-06, Vol.12 (1), p.3905-3905, Article 3905

2021

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Convolutional Networks with Dense Connectivity

IEEE transactions on pattern analysis and machine intelligence, 2022-12, Vol.44 (12), p.8704-8716

2022

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Leveraging diffusion models for unsupervised out-of-distribution detection on image manifold

Frontiers in artificial intelligence, 2024-05, Vol.7, p.1255566-1255566

2024

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On Feature Normalization and Data Augmentation

2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021, p.12378-12387

2021

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Optimizing the Detection of Wakeful and Sleep-Like States for Future Electrocorticographic Brain Computer Interface Applications

PloS one, 2015-11, Vol.10 (11), p.e0142947-e0142947

2015

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Train in Germany, Test in the USA: Making 3D Object Detectors Generalize

2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020, p.11710-11720

2020

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Deep Co-Training with Task Decomposition for Semi-Supervised Domain Adaptation

2021 IEEE/CVF International Conference on Computer Vision (ICCV), 2021, p.8886-8896

2021

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Determining subpopulation methylation profiles from bisulfite sequencing data of heterogeneous samples using DXM

Nucleic acids research, 2021-09, Vol.49 (16), p.e93-e93

2021

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Wav2Seq: Pre-Training Speech-to-Text Encoder-Decoder Models Using Pseudo Languages

ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2023, p.1-5

2023

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Performance-Efficiency Trade-Offs in Unsupervised Pre-Training for Speech Recognition

ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2022, p.7667-7671

2022

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Learning to Detect Mobile Objects from LiDAR Scans Without Labels

2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022, p.1120-1130

2022

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Fast, Continuous Audiogram Estimation Using Machine Learning

Ear and hearing, 2015-11, Vol.36 (6), p.e326-e335

2015

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LDLS: 3-D Object Segmentation Through Label Diffusion From 2-D Images

IEEE robotics and automation letters, 2019-07, Vol.4 (3), p.2902-2909

2019

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Machine learning discovery of new phases in programmable quantum simulator snapshots

Physical review research, 2023-01, Vol.5 (1), Article 013026

2023

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Ithaca365: Dataset and Driving Perception under Repeated and Challenging Weather Conditions

2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022, p.21351-21360

2022

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Densely Connected Convolutional Networks

2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017, p.2261-2269

2017

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CondenseNet: An Efficient DenseNet Using Learned Group Convolutions

2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2018, p.2752-2761

2018

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Deep Networks with Stochastic Depth

Computer Vision – ECCV 2016, p.646-661

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Resource Aware Person Re-identification Across Multiple Resolutions

2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2018, p.8042-8051

2018

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Physicochemical signatures of nanoparticle-dependent complement activation

Computational science & discovery, 2014-03, Vol.7 (1), p.015003-16

2014

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Fast solvers and efficient implementations for distance metric learning

Proceedings of the 25th international conference on Machine learning, 2008, p.1160-1167

2008

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Unsupervised Domain Adaptation for Self-Driving from Past Traversal Features

2023 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW), 2023, p.4042-4048

2023

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Pseudo-LiDAR From Visual Depth Estimation: Bridging the Gap in 3D Object Detection for Autonomous Driving

Unsupervised Learning of Image Manifolds by Semidefinite Programming

End-to-End Pseudo-LiDAR for Image-Based 3D Object Detection

Correlator convolutional neural networks as an interpretable architecture for image-like quantum matter data

Convolutional Networks with Dense Connectivity

Leveraging diffusion models for unsupervised out-of-distribution detection on image manifold

On Feature Normalization and Data Augmentation

Optimizing the Detection of Wakeful and Sleep-Like States for Future Electrocorticographic Brain Computer Interface Applications

Train in Germany, Test in the USA: Making 3D Object Detectors Generalize

Deep Co-Training with Task Decomposition for Semi-Supervised Domain Adaptation

Determining subpopulation methylation profiles from bisulfite sequencing data of heterogeneous samples using DXM

Wav2Seq: Pre-Training Speech-to-Text Encoder-Decoder Models Using Pseudo Languages

Performance-Efficiency Trade-Offs in Unsupervised Pre-Training for Speech Recognition

Learning to Detect Mobile Objects from LiDAR Scans Without Labels

Fast, Continuous Audiogram Estimation Using Machine Learning

LDLS: 3-D Object Segmentation Through Label Diffusion From 2-D Images

Machine learning discovery of new phases in programmable quantum simulator snapshots

Ithaca365: Dataset and Driving Perception under Repeated and Challenging Weather Conditions

Densely Connected Convolutional Networks

CondenseNet: An Efficient DenseNet Using Learned Group Convolutions

Deep Networks with Stochastic Depth

Resource Aware Person Re-identification Across Multiple Resolutions

Physicochemical signatures of nanoparticle-dependent complement activation

Fast solvers and efficient implementations for distance metric learning

Unsupervised Domain Adaptation for Self-Driving from Past Traversal Features

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