Zhengkai Jiang

Orcid: 0000-0003-4064-994X

Affiliations:

Tencent, Youtu Lab, Shanghai, China
Chinese Academy of Sciences, Institute of Automation, Beijing, China (former)
University of Chinese Academy of Sciences, School of Artificial Intelligence, Beijing, China (former)

According to our database¹, Zhengkai Jiang authored at least 24 papers between 2019 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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Bibliography

2024

Learning Unified Reference Representation for Unsupervised Multi-class Anomaly Detection.

[BibT_eX]

[DOI]

CoRR, 2024

PointSeg: A Training-Free Paradigm for 3D Scene Segmentation via Foundation Models.

[BibT_eX]

[DOI]

CoRR, 2024

DiffuMatting: Synthesizing Arbitrary Objects with Matting-level Annotation.

[BibT_eX]

[DOI]

CoRR, 2024

UniM-OV3D: Uni-Modality Open-Vocabulary 3D Scene Understanding with Fine-Grained Feature Representation.

[BibT_eX]

[DOI]

CoRR, 2024

2023

Dual Path Transformer with Partition Attention.

[BibT_eX]

[DOI]

CoRR, 2023

Personalize Segment Anything Model with One Shot.

[BibT_eX]

[DOI]

CoRR, 2023

Rethinking Mobile Block for Efficient Neural Models.

[BibT_eX]

[DOI]

CoRR, 2023

Rethinking Mobile Block for Efficient Attention-based Models.

[BibT_eX]

[DOI]

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

2022

Illumination Adaptive Transformer.

[BibT_eX]

[DOI]

CoRR, 2022

Prototypical Contrast Adaptation for Domain Adaptive Semantic Segmentation.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

STC: Spatio-Temporal Contrastive Learning for Video Instance Segmentation.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

You Only Need 90K Parameters to Adapt Light: a Light Weight Transformer for Image Enhancement and Exposure Correction.

[BibT_eX]

[DOI]

Proceedings of the 33rd British Machine Vision Conference 2022, 2022

DIRL: Domain-Invariant Representation Learning for Generalizable Semantic Segmentation.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

SiamRCR: Reciprocal Classification and Regression for Visual Object Tracking.

[BibT_eX]

[DOI]

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Rethinking Counting and Localization in Crowds: A Purely Point-Based Framework.

[BibT_eX]

[DOI]

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

2020

Contrastive Visual-Linguistic Pretraining.

[BibT_eX]

[DOI]

CoRR, 2020

AutoAssign: Differentiable Label Assignment for Dense Object Detection.

[BibT_eX]

[DOI]

CoRR, 2020

Fine-Grained Dynamic Head for Object Detection.

[BibT_eX]

[DOI]

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

Rethinking Learnable Tree Filter for Generic Feature Transform.

[BibT_eX]

[DOI]

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

Learning Where to Focus for Efficient Video Object Detection.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2020, 2020

2019

Learning Motion Priors for Efficient Video Object Detection.

[BibT_eX]

[DOI]

CoRR, 2019

Class-balanced Grouping and Sampling for Point Cloud 3D Object Detection.

[BibT_eX]

[DOI]

CoRR, 2019

Dynamic Fusion With Intra- and Inter-Modality Attention Flow for Visual Question Answering.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Video Object Detection with Locally-Weighted Deformable Neighbors.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Zhengkai Jiang

Timeline

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