Yabin Zhang

According to our database, Yabin Zhang authored at least 21 papers between 2018 and 2024.

Collaborative distances:

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

2024

Dual Memory Networks: A Versatile Adaptation Approach for Vision-Language Models.

Yabin Zhang, Wenjie Zhu, Hui Tang, Zhiyuan Ma, Kaiyang Zhou, Lei Zhang

CoRR, 2024

2023

One-Stage Visual Relationship Referring With Transformers and Adaptive Message Passing.

Hang Wang, Youtian Du, Yabin Zhang, Shuai Li, Lei Zhang

IEEE Trans. Image Process., 2023

Adversarial Style Augmentation for Domain Generalization.

Yabin Zhang, Bin Deng, Ruihuang Li, Kui Jia, Lei Zhang

CoRR, 2023

VI-Net: Boosting Category-level 6D Object Pose Estimation via Learning Decoupled Rotations on the Spherical Representations.

Jiehong Lin, Zewei Wei, Yabin Zhang, Kui Jia

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

SIM: Semantic-aware Instance Mask Generation for Box-Supervised Instance Segmentation.

Ruihuang Li, Chenhang He, Yabin Zhang, Shuai Li, Liyi Chen, Lei Zhang

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

DynaMask: Dynamic Mask Selection for Instance Segmentation.

Ruihuang Li, Chenhang He, Shuai Li, Yabin Zhang, Lei Zhang

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

MSF: Motion-guided Sequential Fusion for Efficient 3D Object Detection from Point Cloud Sequences.

Chenhang He, Ruihuang Li, Yabin Zhang, Shuai Li, Lei Zhang

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

2022

Unsupervised Multi-Class Domain Adaptation: Theory, Algorithms, and Practice.

Yabin Zhang, Bin Deng, Hui Tang, Lei Zhang, Kui Jia

IEEE Trans. Pattern Anal. Mach. Intell., 2022

Point-DAE: Denoising Autoencoders for Self-supervised Point Cloud Learning.

Yabin Zhang, Jiehong Lin, Ruihuang Li, Kui Jia, Lei Zhang

CoRR, 2022

Masked Surfel Prediction for Self-Supervised Point Cloud Learning.

Yabin Zhang, Jiehong Lin, Chenhang He, Yongwei Chen, Kui Jia, Lei Zhang

CoRR, 2022

TANGO: Text-driven Photorealistic and Robust 3D Stylization via Lighting Decomposition.

Yongwei Chen, Rui Chen, Jiabao Lei, Yabin Zhang, Kui Jia

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

Exact Feature Distribution Matching for Arbitrary Style Transfer and Domain Generalization.

Yabin Zhang, Minghan Li, Ruihuang Li, Kui Jia, Lei Zhang

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

Class-Balanced Pixel-Level Self-Labeling for Domain Adaptive Semantic Segmentation.

Ruihuang Li, Shuai Li, Chenhang He, Yabin Zhang, Xu Jia, Lei Zhang

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

2021

Gradual Domain Adaptation via Self-Training of Auxiliary Models.

Yabin Zhang, Bin Deng, Kui Jia, Lei Zhang

CoRR, 2021

Semi-supervised Models are Strong Unsupervised Domain Adaptation Learners.

Yabin Zhang, Haojian Zhang, Bin Deng, Shuai Li, Kui Jia, Lei Zhang

CoRR, 2021

On Universal Black-Box Domain Adaptation.

Bin Deng, Yabin Zhang, Hui Tang, Changxing Ding, Kui Jia

CoRR, 2021

Unsupervised Domain Adaptation of Black-Box Source Models.

Haojian Zhang, Yabin Zhang, Kui Jia, Lei Zhang

Proceedings of the 32nd British Machine Vision Conference 2021, 2021

2020

Part-Aware Fine-Grained Object Categorization Using Weakly Supervised Part Detection Network.

Yabin Zhang, Kui Jia, Zhixin Wang

IEEE Trans. Multim., 2020

Label Propagation with Augmented Anchors: A Simple Semi-supervised Learning Baseline for Unsupervised Domain Adaptation.

Yabin Zhang, Bin Deng, Kui Jia, Lei Zhang

Proceedings of the Computer Vision - ECCV 2020, 2020

2019

Domain-Symmetric Networks for Adversarial Domain Adaptation.

Yabin Zhang, Hui Tang, Kui Jia, Mingkui Tan

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

2018

Fine-Grained Visual Categorization Using Meta-learning Optimization with Sample Selection of Auxiliary Data.

Yabin Zhang, Hui Tang, Kui Jia

Proceedings of the Computer Vision - ECCV 2018, 2018