Yabin Zhang - RankMe

43 papers A* 10A 1Journal 27Unranked 5

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	Knowledge Regularized Negative Feature Tuning of Vision-Language Models for Out-of-Distribution Detection. ACM Multimedia Wenjie Zhu, Yabin Zhang, Xin Jin, Wenjun Zeng, Lei Zhang
2025	J	`jnl`	Knowledge Regularized Negative Feature Tuning of Vision-Language Models for Out-of-Distribution Detection. CoRR Wenjie Zhu, Yabin Zhang, Xin Jin, Wenjun Zeng, Lei Zhang
2025	J	`jnl`	Point-DAE: Denoising Autoencoders for Self-Supervised Point Cloud Learning. IEEE Trans. Neural Networks Learn. Syst. Yabin Zhang, Jiehong Lin, Ruihuang Li, Kui Jia, Lei Zhang
2024	—	`conf`	Architecture-Agnostic Unsupervised Gradient Regularization for Parameter-Efficient Transfer Learning. ECCV Workshops (22) Wenjie Zhu, Yabin Zhang, Pengfei Wang, Xin Jin, Wenjun Zeng, Lei Zhang
2024	A*	`conf`	Dual Memory Networks: A Versatile Adaptation Approach for Vision-Language Models. CVPR Yabin Zhang, Wenjie Zhu, Hui Tang, Zhiyuan Ma, Kaiyang Zhou, Lei Zhang
2024	J	`jnl`	Dual Memory Networks: A Versatile Adaptation Approach for Vision-Language Models. CoRR Yabin Zhang, Wenjie Zhu, Hui Tang, Zhiyuan Ma, Kaiyang Zhou, Lei Zhang
2024	—	`conf`	LAPT: Label-Driven Automated Prompt Tuning for OOD Detection with Vision-Language Models. ECCV (72) Yabin Zhang, Wenjie Zhu, Chenhang He, Lei Zhang
2024	J	`jnl`	LAPT: Label-driven Automated Prompt Tuning for OOD Detection with Vision-Language Models. CoRR Yabin Zhang, Wenjie Zhu, Chenhang He, Lei Zhang
2024	—	`conf`	ScaleDreamer: Scalable Text-to-3D Synthesis with Asynchronous Score Distillation. ECCV (7) Zhiyuan Ma, Yuxiang Wei, Yabin Zhang, Xiangyu Zhu, Zhen Lei, Lei Zhang
2024	J	`jnl`	ScaleDreamer: Scalable Text-to-3D Synthesis with Asynchronous Score Distillation. CoRR Zhiyuan Ma, Yuxiang Wei, Yabin Zhang, Xiangyu Zhu, Zhen Lei, Lei Zhang
2023	J	`jnl`	Adversarial Style Augmentation for Domain Generalization. CoRR Yabin Zhang, Bin Deng, Ruihuang Li, Kui Jia, Lei Zhang
2023	A*	`conf`	DynaMask: Dynamic Mask Selection for Instance Segmentation. CVPR Ruihuang Li, Chenhang He, Shuai Li, Yabin Zhang, Lei Zhang
2023	J	`jnl`	DynaMask: Dynamic Mask Selection for Instance Segmentation. CoRR Ruihuang Li, Chenhang He, Shuai Li, Yabin Zhang, Lei Zhang
2023	A*	`conf`	MSF: Motion-guided Sequential Fusion for Efficient 3D Object Detection from Point Cloud Sequences. CVPR Chenhang He, Ruihuang Li, Yabin Zhang, Shuai Li, Lei Zhang
2023	J	`jnl`	MSF: Motion-guided Sequential Fusion for Efficient 3D Object Detection from Point Cloud Sequences. CoRR Chenhang He, Ruihuang Li, Yabin Zhang, Shuai Li, Lei Zhang
2023	J	`jnl`	One-Stage Visual Relationship Referring With Transformers and Adaptive Message Passing. IEEE Trans. Image Process. Hang Wang, Youtian Du, Yabin Zhang, Shuai Li, Lei Zhang
2023	A*	`conf`	SIM: Semantic-aware Instance Mask Generation for Box-Supervised Instance Segmentation. CVPR Ruihuang Li, Chenhang He, Yabin Zhang, Shuai Li, Liyi Chen, Lei Zhang
2023	J	`jnl`	SIM: Semantic-aware Instance Mask Generation for Box-Supervised Instance Segmentation. CoRR Ruihuang Li, Chenhang He, Yabin Zhang, Shuai Li, Liyi Chen, Lei Zhang
2023	A*	`conf`	VI-Net: Boosting Category-level 6D Object Pose Estimation via Learning Decoupled Rotations on the Spherical Representations. ICCV Jiehong Lin, Zewei Wei, Yabin Zhang, Kui Jia
2023	J	`jnl`	VI-Net: Boosting Category-level 6D Object Pose Estimation via Learning Decoupled Rotations on the Spherical Representations. CoRR Jiehong Lin, Zewei Wei, Yabin Zhang, Kui Jia
2022	A*	`conf`	Class-Balanced Pixel-Level Self-Labeling for Domain Adaptive Semantic Segmentation. CVPR Ruihuang Li, Shuai Li, Chenhang He, Yabin Zhang, Xu Jia, Lei Zhang
2022	J	`jnl`	Class-Balanced Pixel-Level Self-Labeling for Domain Adaptive Semantic Segmentation. CoRR Ruihuang Li, Shuai Li, Chenhang He, Yabin Zhang, Xu Jia, Lei Zhang
2022	A*	`conf`	Exact Feature Distribution Matching for Arbitrary Style Transfer and Domain Generalization. CVPR Yabin Zhang, Minghan Li, Ruihuang Li, Kui Jia, Lei Zhang
2022	J	`jnl`	Exact Feature Distribution Matching for Arbitrary Style Transfer and Domain Generalization. CoRR Yabin Zhang, Minghan Li, Ruihuang Li, Kui Jia, Lei Zhang
2022	J	`jnl`	Masked Surfel Prediction for Self-Supervised Point Cloud Learning. CoRR Yabin Zhang, Jiehong Lin, Chenhang He, Yongwei Chen, Kui Jia, Lei Zhang
2022	J	`jnl`	Point-DAE: Denoising Autoencoders for Self-supervised Point Cloud Learning. CoRR Yabin Zhang, Jiehong Lin, Ruihuang Li, Kui Jia, Lei Zhang
2022	A*	`conf`	TANGO: Text-driven Photorealistic and Robust 3D Stylization via Lighting Decomposition. NeurIPS Yongwei Chen, Rui Chen, Jiabao Lei, Yabin Zhang, Kui Jia
2022	J	`jnl`	TANGO: Text-driven Photorealistic and Robust 3D Stylization via Lighting Decomposition. CoRR Yongwei Chen, Rui Chen, Jiabao Lei, Yabin Zhang, Kui Jia
2022	J	`jnl`	Unsupervised Multi-Class Domain Adaptation: Theory, Algorithms, and Practice. IEEE Trans. Pattern Anal. Mach. Intell. Yabin Zhang, Bin Deng, Hui Tang, Lei Zhang, Kui Jia
2021	J	`jnl`	Gradual Domain Adaptation via Self-Training of Auxiliary Models. CoRR Yabin Zhang, Bin Deng, Kui Jia, Lei Zhang
2021	J	`jnl`	On Universal Black-Box Domain Adaptation. CoRR Bin Deng, Yabin Zhang, Hui Tang, Changxing Ding, Kui Jia
2021	J	`jnl`	Semi-supervised Models are Strong Unsupervised Domain Adaptation Learners. CoRR Yabin Zhang, Haojian Zhang, Bin Deng, Shuai Li, Kui Jia, Lei Zhang
2021	A	`conf`	Unsupervised Domain Adaptation of Black-Box Source Models. BMVC Haojian Zhang, Yabin Zhang, Kui Jia, Lei Zhang
2021	J	`jnl`	Unsupervised Domain Adaptation of Black-Box Source Models. CoRR Haojian Zhang, Yabin Zhang, Kui Jia, Lei Zhang
2020	J	`jnl`	Label Propagation with Augmented Anchors: A Simple Semi-Supervised Learning baseline for Unsupervised Domain Adaptation. CoRR Yabin Zhang, Bin Deng, Kui Jia, Lei Zhang
2020	—	`conf`	Label Propagation with Augmented Anchors: A Simple Semi-supervised Learning Baseline for Unsupervised Domain Adaptation. ECCV (4) Yabin Zhang, Bin Deng, Kui Jia, Lei Zhang
2020	J	`jnl`	Part-Aware Fine-Grained Object Categorization Using Weakly Supervised Part Detection Network. IEEE Trans. Multim. Yabin Zhang, Kui Jia, Zhixin Wang
2020	J	`jnl`	Unsupervised Multi-Class Domain Adaptation: Theory, Algorithms, and Practice. CoRR Yabin Zhang, Bin Deng, Hui Tang, Lei Zhang, Kui Jia
2019	A*	`conf`	Domain-Symmetric Networks for Adversarial Domain Adaptation. CVPR Yabin Zhang, Hui Tang, Kui Jia, Mingkui Tan
2019	J	`jnl`	Domain-Symmetric Networks for Adversarial Domain Adaptation. CoRR Yabin Zhang, Hui Tang, Kui Jia, Mingkui Tan
2018	—	`conf`	Fine-Grained Visual Categorization Using Meta-learning Optimization with Sample Selection of Auxiliary Data. ECCV (8) Yabin Zhang, Hui Tang, Kui Jia
2018	J	`jnl`	Fine-Grained Visual Categorization using Meta-Learning Optimization with Sample Selection of Auxiliary Data. CoRR Yabin Zhang, Hui Tang, Kui Jia
2018	J	`jnl`	Part-Aware Fine-grained Object Categorization using Weakly Supervised Part Detection Network. CoRR Yabin Zhang, Kui Jia, Zhixin Wang