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Yutong Lin
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2020 – today
- 2024
- [j3]Ruijie Fu
, Jintao Chen
Smart Sensing and Communication Co-Design for IIoT-Based Control Systems. IEEE Internet Things J. 11(3): 3994-4014 (2024) - [c16]Jinpeng Dong, Yutong Lin, Chen Li, Sanping Zhou, Nanning Zheng:
AugDETR: Improving Multi-scale Learning for Detection Transformer. ECCV (24) 2024: 238-255 - [c15]Yichao Shen, Zigang Geng, Yuhui Yuan, Yutong Lin, Ze Liu, Chunyu Wang, Han Hu, Nanning Zheng, Baining Guo:
V-DETR: DETR with Vertex Relative Position Encoding for 3D Object Detection. ICLR 2024 - [i14]Shaoyuan Chen, Yutong Lin, Mingxing Zhang, Yongwei Wu:
Efficient and Economic Large Language Model Inference with Attention Offloading. CoRR abs/2405.01814 (2024) - 2023
- [j2]Yutong Lin, Jingqi Xiong, Wenlian Zhu, Rui Sun
Research on the Prediction Method of Braking Rotation Angle for Remote-Controlled Excavator. Sensors 23(15): 6780 (2023) - [c14]Zhenda Xie, Zheng Zhang, Yue Cao, Yutong Lin, Yixuan Wei, Qi Dai, Han Hu:
On Data Scaling in Masked Image Modeling. CVPR 2023: 10365-10374 - [c13]Yutong Lin, Yuhui Yuan, Zheng Zhang, Chen Li, Nanning Zheng, Han Hu:
DETR Does Not Need Multi-Scale or Locality Design. ICCV 2023: 6522-6531 - [i13]Yutong Lin, Yuhui Yuan, Zheng Zhang, Chen Li, Nanning Zheng, Han Hu:
DETR Doesn't Need Multi-Scale or Locality Design. CoRR abs/2308.01904 (2023) - [i12]Yichao Shen, Zigang Geng, Yuhui Yuan, Yutong Lin, Ze Liu, Chunyu Wang, Han Hu, Nanning Zheng, Baining Guo:
V-DETR: DETR with Vertex Relative Position Encoding for 3D Object Detection. CoRR abs/2308.04409 (2023) - 2022
- [j1]Zhenghui Hu
Classification of Current Density Vector Maps for Heart Failures Using a Transfer Convolutional Neural Network. IEEE Access 10: 82766-82775 (2022) - [c12]Zhenda Xie, Zheng Zhang, Yue Cao, Yutong Lin, Jianmin Bao, Zhuliang Yao, Qi Dai, Han Hu:
SimMIM: a Simple Framework for Masked Image Modeling. CVPR 2022: 9643-9653 - [c11]Ze Liu, Han Hu, Yutong Lin, Zhuliang Yao, Zhenda Xie, Yixuan Wei, Jia Ning, Yue Cao, Zheng Zhang, Li Dong, Furu Wei, Baining Guo:
Swin Transformer V2: Scaling Up Capacity and Resolution. CVPR 2022: 11999-12009 - [c10]Yutong Lin, Chen Li, Yue Cao, Zheng Zhang, Jianfeng Wang, Lijuan Wang, Zicheng Liu, Han Hu:
A Simple Approach and Benchmark for 21, 000-Category Object Detection. ECCV (11) 2022: 1-18 - [c9]Mengde Xu, Zheng Zhang, Fangyun Wei, Yutong Lin, Yue Cao, Han Hu, Xiang Bai:
A Simple Baseline for Open-Vocabulary Semantic Segmentation with Pre-trained Vision-Language Model. ECCV (29) 2022: 736-753 - [c8]Hongwei Niu, Yutong Lin:
SER-UNet: A Network for Gastrointestinal Image Segmentation. ICCIR 2022: 227-230 - [c7]Yutong Lin, Ze Liu, Zheng Zhang, Han Hu, Nanning Zheng, Stephen Lin, Yue Cao:
Could Giant Pre-trained Image Models Extract Universal Representations? NeurIPS 2022 - [i11]Zhenda Xie, Zheng Zhang, Yue Cao, Yutong Lin, Yixuan Wei, Qi Dai, Han Hu:
On Data Scaling in Masked Image Modeling. CoRR abs/2206.04664 (2022) - [i10]Yutong Lin, Ze Liu, Zheng Zhang, Han Hu, Nanning Zheng, Stephen Lin, Yue Cao:
Could Giant Pretrained Image Models Extract Universal Representations? CoRR abs/2211.02043 (2022) - 2021
- [c6]Zhenda Xie, Yutong Lin, Zheng Zhang, Yue Cao, Stephen Lin, Han Hu:
Propagate Yourself: Exploring Pixel-Level Consistency for Unsupervised Visual Representation Learning. CVPR 2021: 16684-16693 - [c5]Ze Liu, Yutong Lin, Yue Cao, Han Hu, Yixuan Wei, Zheng Zhang, Stephen Lin, Baining Guo:
Swin Transformer: Hierarchical Vision Transformer using Shifted Windows. ICCV 2021: 9992-10002 - [c4]Zhuliang Yao, Yue Cao, Yutong Lin, Ze Liu, Zheng Zhang, Han Hu:
Leveraging Batch Normalization for Vision Transformers. ICCVW 2021: 413-422 - [c3]Mengde Xu, Zheng Zhang, Fangyun Wei, Yutong Lin, Yue Cao, Stephen Lin, Han Hu, Xiang Bai:
Bootstrap Your Object Detector via Mixed Training. NeurIPS 2021: 11315-11325 - [i9]Ze Liu, Yutong Lin, Yue Cao, Han Hu, Yixuan Wei, Zheng Zhang, Stephen Lin, Baining Guo:
Swin Transformer: Hierarchical Vision Transformer using Shifted Windows. CoRR abs/2103.14030 (2021) - [i8]Zhenda Xie, Yutong Lin, Zhuliang Yao, Zheng Zhang, Qi Dai, Yue Cao, Han Hu:
Self-Supervised Learning with Swin Transformers. CoRR abs/2105.04553 (2021) - [i7]Mengde Xu, Zheng Zhang, Fangyun Wei, Yutong Lin, Yue Cao, Stephen Lin, Han Hu, Xiang Bai:
Bootstrap Your Object Detector via Mixed Training. CoRR abs/2111.03056 (2021) - [i6]Ze Liu, Han Hu, Yutong Lin, Zhuliang Yao, Zhenda Xie, Yixuan Wei, Jia Ning, Yue Cao, Zheng Zhang, Li Dong, Furu Wei, Baining Guo:
Swin Transformer V2: Scaling Up Capacity and Resolution. CoRR abs/2111.09883 (2021) - [i5]Zhenda Xie, Zheng Zhang, Yue Cao, Yutong Lin, Jianmin Bao, Zhuliang Yao, Qi Dai, Han Hu:
SimMIM: A Simple Framework for Masked Image Modeling. CoRR abs/2111.09886 (2021) - [i4]Mengde Xu, Zheng Zhang, Fangyun Wei, Yutong Lin, Yue Cao, Han Hu, Xiang Bai:
A Simple Baseline for Zero-shot Semantic Segmentation with Pre-trained Vision-language Model. CoRR abs/2112.14757 (2021) - 2020
- [c2]Bin Liu, Yue Cao, Yutong Lin, Qi Li, Zheng Zhang, Mingsheng Long, Han Hu:
Negative Margin Matters: Understanding Margin in Few-Shot Classification. ECCV (4) 2020: 438-455 - [c1]Yue Cao, Zhenda Xie, Bin Liu, Yutong Lin, Zheng Zhang, Han Hu:
Parametric Instance Classification for Unsupervised Visual Feature learning. NeurIPS 2020 - [i3]Bin Liu, Yue Cao, Yutong Lin, Qi Li, Zheng Zhang, Mingsheng Long, Han Hu:
Negative Margin Matters: Understanding Margin in Few-shot Classification. CoRR abs/2003.12060 (2020) - [i2]Yue Cao, Zhenda Xie, Bin Liu, Yutong Lin, Zheng Zhang, Han Hu:
Parametric Instance Classification for Unsupervised Visual Feature Learning. CoRR abs/2006.14618 (2020) - [i1]Zhenda Xie, Yutong Lin, Zheng Zhang, Yue Cao, Stephen Lin, Han Hu:
Propagate Yourself: Exploring Pixel-Level Consistency for Unsupervised Visual Representation Learning. CoRR abs/2011.10043 (2020)
Coauthor Index
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last updated on 2024-11-15 19:30 CET by the dblp team
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