Dong Li

Orcid: 0000-0001-7369-1445

Affiliations:
  • Megvii Inc, Beijing, China
  • Tsinghua University, Department of Electronic Engineering, Beijing, China (PhD 2017)


According to our database1, Dong Li authored at least 19 papers between 2015 and 2022.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Links

Online presence:

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Bibliography

2022
HPS-Det: Dynamic Sample Assignment with Hyper-Parameter Search for Object Detection.
CoRR, 2022

A-U3D: A Unified 2D/3D CNN Accelerator on the Versal Platform for Disparity Estimation.
Proceedings of the 32nd International Conference on Field-Programmable Logic and Applications, 2022

Dual Cross-Attention Learning for Fine-Grained Visual Categorization and Object Re-Identification.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Efficient Image Super-Resolution with Collapsible Linear Blocks.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

Dynamic Sparse R-CNN.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Cross-Dataset Collaborative Learning for Semantic Segmentation in Autonomous Driving.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Cross-Dataset Collaborative Learning for Semantic Segmentation.
CoRR, 2021

Towards Discriminative Representation Learning for Unsupervised Person Re-identification.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Improving Low-Precision Network Quantization via Bin Regularization.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

RankDetNet: Delving Into Ranking Constraints for Object Detection.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
Progressive Representation Adaptation for Weakly Supervised Object Localization.
IEEE Trans. Pattern Anal. Mach. Intell., 2020

ProgressFace: Scale-Aware Progressive Learning for Face Detection.
Proceedings of the Computer Vision - ECCV 2020, 2020

Dual Super-Resolution Learning for Semantic Segmentation.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

MTNAS: Search Multi-task Networks for Autonomous Driving.
Proceedings of the Computer Vision - ACCV 2020 - 15th Asian Conference on Computer Vision, Kyoto, Japan, November 30, 2020

2017
Learning Structured Semantic Embeddings for Visual Recognition.
CoRR, 2017

2016
Unsupervised Visual Representation Learning by Graph-Based Consistent Constraints.
Proceedings of the Computer Vision - ECCV 2016, 2016

Weakly Supervised Object Localization with Progressive Domain Adaptation.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015
Discriminative Middle-Level Parts Mining for Object Detection.
IEICE Trans. Inf. Syst., 2015

Selective parts for fine-grained recognition.
Proceedings of the 2015 IEEE International Conference on Image Processing, 2015


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