Yingwei Li

Orcid: 0000-0002-0711-7004

Affiliations:

Johns Hopkins University, Baltimore, MD, USA (PhD 2022)

According to our database¹, Yingwei Li authored at least 31 papers between 2019 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of three.

Timeline

Legend:

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In proceedings

Article

PhD thesis

Dataset

Other

Bibliography

2024

SAM-Guided Masked Token Prediction for 3D Scene Understanding.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

2023

Continual Adversarial Defense.

[BibT_eX]

[DOI]

CoRR, 2023

Point Cloud Self-supervised Learning via 3D to Multi-view Masked Autoencoder.

[BibT_eX]

[DOI]

CoRR, 2023

Class-Level Confidence Based 3D Semi-Supervised Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Bridging the Domain Gap: Self-Supervised 3D Scene Understanding with Foundation Models.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

MoDAR: Using Motion Forecasting for 3D Object Detection in Point Cloud Sequences.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

AsyInst: Asymmetric Affinity with DepthGrad and Color for Box-Supervised Instance Segmentation.

[BibT_eX]

[DOI]

CoRR, 2022

DeepFusion: Lidar-Camera Deep Fusion for Multi-Modal 3D Object Detection.

[BibT_eX]

[DOI]

CoRR, 2022

Depth Estimation Matters Most: Improving Per-Object Depth Estimation for Monocular 3D Detection and Tracking.

[BibT_eX]

[DOI]

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

Fast AdvProp.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

R4D: Utilizing Reference Objects for Long-Range Distance Estimation.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

Context-Enhanced Stereo Transformer.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

Learning from Temporal Gradient for Semi-supervised Action Recognition.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

DeepFusion: Lidar-Camera Deep Fusion for Multi-Modal 3D Object Detection.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

SwapMix: Diagnosing and Regularizing the Over-Reliance on Visual Context in Visual Question Answering.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Harnessing Perceptual Adversarial Patches for Crowd Counting.

[BibT_eX]

[DOI]

Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security, 2022

2021

Adversarial Metric Attack and Defense for Person Re-Identification.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2021

ADVM'21: 1st International Workshop on Adversarial Learning for Multimedia.

[BibT_eX]

[DOI]

Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Shape-Texture Debiased Neural Network Training.

[BibT_eX]

[DOI]

Proceedings of the 9th International Conference on Learning Representations, 2021

Searching for TrioNet: Combining Convolution with Local and Global Self-Attention.

[BibT_eX]

[DOI]

Proceedings of the 32nd British Machine Vision Conference 2021, 2021

CAKES: Channel-wise Automatic KErnel Shrinking for Efficient 3D Networks.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Volumetric Medical Image Segmentation: A 3D Deep Coarse-to-fine Framework and Its Adversarial Examples.

[BibT_eX]

[DOI]

CoRR, 2020

CAKES: Channel-wise Automatic KErnel Shrinking for Efficient 3D Network.

[BibT_eX]

[DOI]

CoRR, 2020

AtomNAS: Fine-Grained End-to-End Neural Architecture Search.

[BibT_eX]

[DOI]

Proceedings of the 8th International Conference on Learning Representations, 2020

Regional Homogeneity: Towards Learning Transferable Universal Adversarial Perturbations Against Defenses.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2020, 2020

Neural Architecture Search for Lightweight Non-Local Networks.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Learning Transferable Adversarial Examples via Ghost Networks.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Adversarial Metric Attack for Person Re-identification.

[BibT_eX]

[DOI]

CoRR, 2019

Hyper-Pairing Network for Multi-phase Pancreatic Ductal Adenocarcinoma Segmentation.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Multi-scale Attentional Network for Multi-focal Segmentation of Active Bleed After Pelvic Fractures.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning in Medical Imaging - 10th International Workshop, 2019

Volumetric Medical Image Segmentation: A 3D Deep Coarse-to-Fine Framework and Its Adversarial Examples.

[BibT_eX]

[DOI]

Proceedings of the Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics, 2019

Yingwei Li

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