Tete Xiao

According to our database¹, Tete Xiao authored at least 20 papers between 2017 and 2023.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of three.

Timeline

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In proceedings

Article

PhD thesis

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Other

Links

On csauthors.net:

Bibliography

2023

Learning Humanoid Locomotion with Transformers.

[BibT_eX]

[DOI]

CoRR, 2023

Segment Anything.

[BibT_eX]

[DOI]

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

2022

Masked Visual Pre-training for Motor Control.

[BibT_eX]

[DOI]

CoRR, 2022

Real-World Robot Learning with Masked Visual Pre-training.

[BibT_eX]

[DOI]

Proceedings of the Conference on Robot Learning, 2022

2021

Early Convolutions Help Transformers See Better.

[BibT_eX]

[DOI]

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

Learning Cross-Domain Correspondence for Control with Dynamics Cycle-Consistency.

[BibT_eX]

[DOI]

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

What Should Not Be Contrastive in Contrastive Learning.

[BibT_eX]

[DOI]

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

Region Similarity Representation Learning.

[BibT_eX]

[DOI]

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

Rethinking preventing class-collapsing in metric learning with margin-based losses.

[BibT_eX]

[DOI]

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

2020

Reducing Class Collapse in Metric Learning with Easy Positive Sampling.

[BibT_eX]

[DOI]

CoRR, 2020

Something-Else: Compositional Action Recognition With Spatial-Temporal Interaction Networks.

[BibT_eX]

[DOI]

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

2019

Semantic Understanding of Scenes Through the ADE20K Dataset.

[BibT_eX]

[DOI]

Int. J. Comput. Vis., 2019

Reasoning About Human-Object Interactions Through Dual Attention Networks.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2018

CrowdHuman: A Benchmark for Detecting Human in a Crowd.

[BibT_eX]

[DOI]

CoRR, 2018

Unified Perceptual Parsing for Scene Understanding.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2018, 2018

Acquisition of Localization Confidence for Accurate Object Detection.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2018, 2018

Repulsion Loss: Detecting Pedestrians in a Crowd.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

MegDet: A Large Mini-Batch Object Detector.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Learning Visually-Grounded Semantics from Contrastive Adversarial Samples.

[BibT_eX]

[DOI]

Proceedings of the 27th International Conference on Computational Linguistics, 2018

2017

What Can Help Pedestrian Detection?

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Tete Xiao

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