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2025

Conference Publication

Polaformer: polarity-aware linear attention for vision transformers

Meng, Weikang, Luo, Yadan, Li, Xin, Jiang, Dongmei and Zhang, Zheng (2025). Polaformer: polarity-aware linear attention for vision transformers. 13th International Conference on Learning Representations, ICLR 2025, Singapore, Singapore, 24 - 28 April 2025. Red Hook, NY, United States: Curran Associates.

Polaformer: polarity-aware linear attention for vision transformers

2025

Conference Publication

MOS: Model synergy for test-time adaptation on lidar-based 3D object detection

Chen, Zhuoxiao, Meng, Junjie, Baktashmotlagh, Mahsa, Zhang, Yonggang, Huang, Zi and Luo, Yadan (2025). MOS: Model synergy for test-time adaptation on lidar-based 3D object detection. 13th International Conference on Learning Representations, ICLR 2025, Singapore, Singapore, 24 - 28 April 2025. International Conference on Learning Representations, ICLR.

MOS: Model synergy for test-time adaptation on lidar-based 3D object detection

2024

Conference Publication

Exploiting descriptive completeness prior for cross modal hashing with incomplete labels

Luo, Haoyang, Zhang, Zheng and Luo, Yadan (2024). Exploiting descriptive completeness prior for cross modal hashing with incomplete labels. 38th Annual Conference on Neural Information Processing Systems (NeurIPS 2024), Vancouver, BC, Canada, 9-15 Decmeber 2024. San Mateo, CA, United States: Morgan Kaufmann Publishers. doi: 10.52202/079017-1608

Exploiting descriptive completeness prior for cross modal hashing with incomplete labels

2024

Conference Publication

Find n’ Propagate: Open-Vocabulary 3D Object Detection in Urban Environments

Etchegaray, Djamahl, Huang, Zi, Harada, Tatsuya and Luo, Yadan (2024). Find n’ Propagate: Open-Vocabulary 3D Object Detection in Urban Environments. 18th European Conference on Computer Vision ECCV 2024, Milan, Italy, 29 September – 4 October 2024. Cham, Switzerland: Springer. doi: 10.1007/978-3-031-73661-2_8

Find n’ Propagate: Open-Vocabulary 3D Object Detection in Urban Environments

2024

Journal Article

Robustness-aware 3D object detection in autonomous driving: a review and outlook

Song, Ziying, Liu, Lin, Jia, Feiyang, Luo, Yadan, Jia, Caiyan, Zhang, Guoxin, Yang, Lei and Wang, Li (2024). Robustness-aware 3D object detection in autonomous driving: a review and outlook. IEEE Transactions On Intelligent Transportation Systems, 25 (11), 15407-15436. doi: 10.1109/TITS.2024.3439557

Robustness-aware 3D object detection in autonomous driving: a review and outlook

2024

Journal Article

Prediction of perovskite oxygen vacancies for oxygen electrocatalysis at different temperatures

Li, Zhiheng, Mao, Xin, Feng, Desheng, Li, Mengran, Xu, Xiaoyong, Luo, Yadan, Zhuang, Linzhou, Lin, Rijia, Zhu, Tianjiu, Liang, Fengli, Huang, Zi, Liu, Dong, Yan, Zifeng, Du, Aijun, Shao, Zongping and Zhu, Zhonghua (2024). Prediction of perovskite oxygen vacancies for oxygen electrocatalysis at different temperatures. Nature Communications, 15 (1) 9318, 1-12. doi: 10.1038/s41467-024-53578-7

Prediction of perovskite oxygen vacancies for oxygen electrocatalysis at different temperatures

2024

Conference Publication

DPO: dual-perturbation optimization for test-time adaptation in 3D object detection

Chen, Zhuoxiao, Wang, Zixin, Luo, Yadan, Wang, Sen and Huang, Zi (2024). DPO: dual-perturbation optimization for test-time adaptation in 3D object detection. MM '24: The 32nd ACM International Conference on Multimedia, Melbourne, VIC, Australia, 28 October-1 November 2024. New York, United States: Association for Computing Machinery. doi: 10.1145/3664647.3681040

DPO: dual-perturbation optimization for test-time adaptation in 3D object detection

2024

Journal Article

In search of lost online test-time adaptation: a survey

Wang, Zixin, Luo, Yadan, Zheng, Liang, Chen, Zhuoxiao, Wang, Sen and Huang, Zi (2024). In search of lost online test-time adaptation: a survey. International Journal of Computer Vision, 133 (3), 1106-1139. doi: 10.1007/s11263-024-02213-5

In search of lost online test-time adaptation: a survey

2024

Conference Publication

Edge deployable online domain adaptation for underwater object detection

Etchegaray, Djamahl, Luo, Yadan, Li, Yang, Do, Brendan, Liu, Jiajun, Huang, Zi and Kusy, Branislav (2024). Edge deployable online domain adaptation for underwater object detection. 2024 International Joint Conference on Neural Networks (IJCNN), Yokohama, Japan, 30 June - 5 July 2024. Piscataway, NJ, United States: IEEE. doi: 10.1109/ijcnn60899.2024.10650705

Edge deployable online domain adaptation for underwater object detection

2024

Conference Publication

DiPEx: Dispersing Prompt Expansion for class-agnostic object detection

Lim, Jia Syuen, Chen, Zhuoxiao, Baktashmotlagh, Mahsa, Chen, Zhi, Yu, Xin, Huang, Zi and Luo, Yadan (2024). DiPEx: Dispersing Prompt Expansion for class-agnostic object detection. 38th Annual Conference on Neural Information Processing Systems (NeurIPS 2024), Vancouver, BC, Canada, 10-15 December 2024. San Mateo, CA, United States: Morgan Kaufmann Publishers. doi: 10.52202/079017-0781

DiPEx: Dispersing Prompt Expansion for class-agnostic object detection

2024

Conference Publication

Optimizing taxi route planning based on taxi trajectory data analysis

Yang, Xinyi, Chen, Zhi and Luo, Yadan (2024). Optimizing taxi route planning based on taxi trajectory data analysis. 34th Australasian Database Conference (ADC), Melbourne, VIC, Australia, 1-3 November 2023. Heidelberg, Germany: Springer. doi: 10.1007/978-3-031-47843-7_4

Optimizing taxi route planning based on taxi trajectory data analysis

2024

Conference Publication

Color-oriented redundancy reduction in dataset distillation

Yuan, Bowen, Wang, Zijian, Baktashmotlagh, Mahsa, Luo, Yadan and Huang, Zi (2024). Color-oriented redundancy reduction in dataset distillation. 38th Annual Conference on Neural Information Processing Systems (NeurIPS 2024), Vancouver, BC, Canada, 10-15 December 2024. San Mateo, CA, United States: Morgan Kaufmann Publishers. doi: 10.52202/079017-1687

Color-oriented redundancy reduction in dataset distillation

2024

Conference Publication

ConjNorm: tractable density estimation for out-of-distribution detection

Peng, Bo, Luo, Yadan, Zhang, Yonggang, Li, Yixuan and Fang, Zhen (2024). ConjNorm: tractable density estimation for out-of-distribution detection. 12th International Conference on Learning Representations, ICLR 2024, Vienna, Austria, 7-11 May 2024. Vienna, Austria: International Conference on Learning Representations, ICLR.

ConjNorm: tractable density estimation for out-of-distribution detection

2023

Conference Publication

Learning efficient unsupervised satellite image-based building damage detection

Zhang, Yiyun, Wang, Zijian, Luo, Yadan, Yu, Xin and Huang, Zi (2023). Learning efficient unsupervised satellite image-based building damage detection. 2023 IEEE International Conference on Data Mining (ICDM), Shanghai, China, 1-4 December 2023. Piscataway, NJ, United States: IEEE. doi: 10.1109/icdm58522.2023.00206

Learning efficient unsupervised satellite image-based building damage detection

2023

Conference Publication

Open-RoadAtlas: Leveraging VLMs for road condition survey with real-time mobile auditing

Etchegaray, Djamahl, Luo, Yadan, FitzChance, Zachary, Southon, Anthony and Zhong, Jinjiang (2023). Open-RoadAtlas: Leveraging VLMs for road condition survey with real-time mobile auditing. MM '23: The 31st ACM International Conference on Multimedia, Ottawa, ON Canada, 29 October - 3 November 2023. New York, NY United States: Association for Computing Machinery. doi: 10.1145/3581783.3612668

Open-RoadAtlas: Leveraging VLMs for road condition survey with real-time mobile auditing

2023

Conference Publication

Cal-SFDA: Source-free domain-adaptive semantic segmentation with differentiable expected calibration error

Wang, Zixin, Luo, Yadan, Chen, Zhi, Wang, Sen and Huang, Zi (2023). Cal-SFDA: Source-free domain-adaptive semantic segmentation with differentiable expected calibration error. MM '23: The 31st ACM International Conference on Multimedia, Ottawa, ON Canada, 29 October - 3 November 2023. New York, NY United States: Association for Computing Machinery. doi: 10.1145/3581783.3611808

Cal-SFDA: Source-free domain-adaptive semantic segmentation with differentiable expected calibration error

2023

Conference Publication

How Far Pre-trained Models Are from Neural Collapse on the Target Dataset Informs their Transferability

Wang, Zijian, Luo, Yadan, Zheng, Liang, Huang, Zi and Baktashmotlagh, Mahsa (2023). How Far Pre-trained Models Are from Neural Collapse on the Target Dataset Informs their Transferability. IEEE/CVF International Conference on Computer Vision 2023 (ICCV), Paris, France, 2-6 October 2023. Paris, France: Computer Vision Foundation. doi: 10.1109/iccv51070.2023.00511

How Far Pre-trained Models Are from Neural Collapse on the Target Dataset Informs their Transferability

2023

Conference Publication

KECOR: Kernel Coding Rate Maximization for Active 3D Object Detection

Luo, Yadan, Chen, Zhuoxiao, Fang, Zhen, Zhang, Zheng, Baktashmotlagh, Mahsa and Huang, Zi (2023). KECOR: Kernel Coding Rate Maximization for Active 3D Object Detection. IEEE/CVF International Conference on Computer Vision 2023 (ICCV), Paris, France, 2-6 October 2021. Paris, France: Computer Vision Foundation. doi: 10.1109/iccv51070.2023.01676

KECOR: Kernel Coding Rate Maximization for Active 3D Object Detection

2023

Conference Publication

Revisiting Domain-Adaptive 3D Object Detection by Reliable, Diverse and Class-balanced Pseudo-Labeling

Chen, Zhuoxiao, Luo, Yadan, Wang, Zheng, Baktashmotlagh, Mahsa and Huang, Zi (2023). Revisiting Domain-Adaptive 3D Object Detection by Reliable, Diverse and Class-balanced Pseudo-Labeling. IEEE/CVF International Conference on Computer Vision 2023 (ICCV), Paris, France, 2-6 October 2023. Paris, France: Computer Vision Foundation. doi: 10.1109/iccv51070.2023.00344

Revisiting Domain-Adaptive 3D Object Detection by Reliable, Diverse and Class-balanced Pseudo-Labeling

2023

Journal Article

Hypercomplex context guided interaction modeling for scene graph generation

Wang, Zheng, Xu, Xing, Luo, Yadan, Wang, Guoqing and Yang, Yang (2023). Hypercomplex context guided interaction modeling for scene graph generation. Pattern Recognition, 141 109634, 109634. doi: 10.1016/j.patcog.2023.109634

Hypercomplex context guided interaction modeling for scene graph generation