Yingwei Li

This page is a disambiguation page, it actually contains mutiple papers from persons of the same or a similar name.

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Bibliography

2023
Continual Adversarial Defense.
CoRR, 2023

Point Cloud Self-supervised Learning via 3D to Multi-view Masked Autoencoder.
CoRR, 2023

Class-Level Confidence Based 3D Semi-Supervised Learning.
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.
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.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
A constrained multiobjective evolutionary algorithm with the two-archive weak cooperation.
Inf. Sci., 2022

AsyInst: Asymmetric Affinity with DepthGrad and Color for Box-Supervised Instance Segmentation.
CoRR, 2022

DeepFusion: Lidar-Camera Deep Fusion for Multi-Modal 3D Object Detection.
CoRR, 2022

Depth Estimation Matters Most: Improving Per-Object Depth Estimation for Monocular 3D Detection and Tracking.
Proceedings of the 2022 International Conference on Robotics and Automation, 2022

Fast AdvProp.
Proceedings of the Tenth International Conference on Learning Representations, 2022

R4D: Utilizing Reference Objects for Long-Range Distance Estimation.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Context-Enhanced Stereo Transformer.
Proceedings of the Computer Vision - ECCV 2022, 2022

Learning from Temporal Gradient for Semi-supervised Action Recognition.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

DeepFusion: Lidar-Camera Deep Fusion for Multi-Modal 3D Object Detection.
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.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Harnessing Perceptual Adversarial Patches for Crowd Counting.
Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security, 2022

2021
Adversarial Metric Attack and Defense for Person Re-Identification.
IEEE Trans. Pattern Anal. Mach. Intell., 2021

ADVM'21: 1st International Workshop on Adversarial Learning for Multimedia.
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Shape-Texture Debiased Neural Network Training.
Proceedings of the 9th International Conference on Learning Representations, 2021

Searching for TrioNet: Combining Convolution with Local and Global Self-Attention.
Proceedings of the 32nd British Machine Vision Conference 2021, 2021

CAKES: Channel-wise Automatic KErnel Shrinking for Efficient 3D Networks.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Application Research of File Fingerprint Identification Detection Based on a Network Security Protection System.
Wirel. Commun. Mob. Comput., 2020

A low-cost multichannel NIRS oximeter for monitoring systemic low-frequency oscillations.
Neural Comput. Appl., 2020

Volumetric Medical Image Segmentation: A 3D Deep Coarse-to-fine Framework and Its Adversarial Examples.
CoRR, 2020

CAKES: Channel-wise Automatic KErnel Shrinking for Efficient 3D Network.
CoRR, 2020

Adversarial Attacks on Monocular Depth Estimation.
CoRR, 2020

AtomNAS: Fine-Grained End-to-End Neural Architecture Search.
Proceedings of the 8th International Conference on Learning Representations, 2020

Regional Homogeneity: Towards Learning Transferable Universal Adversarial Perturbations Against Defenses.
Proceedings of the Computer Vision - ECCV 2020, 2020

Neural Architecture Search for Lightweight Non-Local Networks.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Learning Transferable Adversarial Examples via Ghost Networks.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Theoretical model construction and structure optimization of electromagnetic flow transducer based on neural network.
J. Intell. Fuzzy Syst., 2019

Adversarial Metric Attack for Person Re-identification.
CoRR, 2019

Modeling and optimal design of fiber-optic probe for medium detection based on computer simulation.
Clust. Comput., 2019

Hyper-Pairing Network for Multi-phase Pancreatic Ductal Adenocarcinoma Segmentation.
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.
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.
Proceedings of the Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics, 2019

2018
Discussion on Training Students' Ability to Solve Complex Engineering Problems from the Perspective of Professional Certification.
Proceedings of the e-Learning, e-Education, and Online Training, 2018

Research on the Innovative Education Practical Teaching Mode of Electronic Information for Outstanding Engineer.
Proceedings of the e-Learning, e-Education, and Online Training, 2018

2012
Sensing characteristics of conductance sensor for measuring the volume fraction and axial velocity in oil-water pipe flow.
Int. J. Simul. Process. Model., 2012

2011
Optimizing Warehouse Forklift Dispatching Using a Sensor Network and Stochastic Learning.
IEEE Trans. Ind. Informatics, 2011

2010
Global stability analysis in Cohen-Grossberg neural networks with delays and inverse Hölder neuron activation functions.
Inf. Sci., 2010

2008
Existence and stability of periodic solution for BAM neural networks with discontinuous neuron activations.
Comput. Math. Appl., 2008

Question Classification Based on Incremental Modified Bayes.
Proceedings of the Second International Conference on Future Generation Communication and Networking, 2008


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