Yutong Lin

According to our database, Yutong Lin authored at least 22 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Smart Sensing and Communication Co-Design for IIoT-Based Control Systems.

Ruijie Fu, Jintao Chen, Yutong Lin, An Zou, Cailian Chen, Xinping Guan, Yehan Ma

IEEE Internet Things J., February, 2024

2023

Research on the Prediction Method of Braking Rotation Angle for Remote-Controlled Excavator.

Yutong Lin, Jingqi Xiong, Wenlian Zhu, Rui Sun

Sensors, August, 2023

V-DETR: DETR with Vertex Relative Position Encoding for 3D Object Detection.

Yichao Shen, Zigang Geng, Yuhui Yuan, Yutong Lin, Ze Liu, Chunyu Wang, Han Hu, Nanning Zheng, Baining Guo

CoRR, 2023

DETR Doesn't Need Multi-Scale or Locality Design.

Yutong Lin, Yuhui Yuan, Zheng Zhang, Chen Li, Nanning Zheng, Han Hu

CoRR, 2023

DETR Does Not Need Multi-Scale or Locality Design.

Yutong Lin, Yuhui Yuan, Zheng Zhang, Chen Li, Nanning Zheng, Han Hu

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

On Data Scaling in Masked Image Modeling.

Zhenda Xie, Zheng Zhang, Yue Cao, Yutong Lin, Yixuan Wei, Qi Dai, Han Hu

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

2022

Could Giant Pretrained Image Models Extract Universal Representations?

Yutong Lin, Ze Liu, Zheng Zhang, Han Hu, Nanning Zheng, Stephen Lin, Yue Cao

CoRR, 2022

Classification of Current Density Vector Maps for Heart Failures Using a Transfer Convolutional Neural Network.

Zhenghui Hu, Yutong Lin, Kaikai Ye, Qiang Lin

IEEE Access, 2022

Could Giant Pre-trained Image Models Extract Universal Representations?

Yutong Lin, Ze Liu, Zheng Zhang, Han Hu, Nanning Zheng, Stephen Lin, Yue Cao

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

SER-UNet: A Network for Gastrointestinal Image Segmentation.

Hongwei Niu, Yutong Lin

Proceedings of the 2nd International Conference on Control and Intelligent Robotics, 2022

A Simple Baseline for Open-Vocabulary Semantic Segmentation with Pre-trained Vision-Language Model.

Mengde Xu, Zheng Zhang, Fangyun Wei, Yutong Lin, Yue Cao, Han Hu, Xiang Bai

Proceedings of the Computer Vision - ECCV 2022, 2022

A Simple Approach and Benchmark for 21, 000-Category Object Detection.

Yutong Lin, Chen Li, Yue Cao, Zheng Zhang, Jianfeng Wang, Lijuan Wang, Zicheng Liu, Han Hu

Proceedings of the Computer Vision - ECCV 2022, 2022

SimMIM: a Simple Framework for Masked Image Modeling.

Zhenda Xie, Zheng Zhang, Yue Cao, Yutong Lin, Jianmin Bao, Zhuliang Yao, Qi Dai, Han Hu

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

Swin Transformer V2: Scaling Up Capacity and Resolution.

Ze Liu, Han Hu, Yutong Lin, Zhuliang Yao, Zhenda Xie, Yixuan Wei, Jia Ning, Yue Cao, Zheng Zhang, Li Dong, Furu Wei, Baining Guo

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

2021

A Simple Baseline for Zero-shot Semantic Segmentation with Pre-trained Vision-language Model.

Mengde Xu, Zheng Zhang, Fangyun Wei, Yutong Lin, Yue Cao, Han Hu, Xiang Bai

CoRR, 2021

Self-Supervised Learning with Swin Transformers.

Zhenda Xie, Yutong Lin, Zhuliang Yao, Zheng Zhang, Qi Dai, Yue Cao, Han Hu

CoRR, 2021

Bootstrap Your Object Detector via Mixed Training.

Mengde Xu, Zheng Zhang, Fangyun Wei, Yutong Lin, Yue Cao, Stephen Lin, Han Hu, Xiang Bai

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Leveraging Batch Normalization for Vision Transformers.

Zhuliang Yao, Yue Cao, Yutong Lin, Ze Liu, Zheng Zhang, Han Hu

Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

Swin Transformer: Hierarchical Vision Transformer using Shifted Windows.

Ze Liu, Yutong Lin, Yue Cao, Han Hu, Yixuan Wei, Zheng Zhang, Stephen Lin, Baining Guo

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Propagate Yourself: Exploring Pixel-Level Consistency for Unsupervised Visual Representation Learning.

Zhenda Xie, Yutong Lin, Zheng Zhang, Yue Cao, Stephen Lin, Han Hu

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Parametric Instance Classification for Unsupervised Visual Feature learning.

Yue Cao, Zhenda Xie, Bin Liu, Yutong Lin, Zheng Zhang, Han Hu

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Negative Margin Matters: Understanding Margin in Few-Shot Classification.

Bin Liu, Yue Cao, Yutong Lin, Qi Li, Zheng Zhang, Mingsheng Long, Han Hu

Proceedings of the Computer Vision - ECCV 2020, 2020