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2023 Conference Publication Exploring active 3D object detection from a generalization perspectiveLuo, Yadan, Chen, Zhuoxiao, Wang, Zijian, Yu, Xin, Huang, Zi and Baktashmotlagh, Mahsa (2023). Exploring active 3D object detection from a generalization perspective. 11th International Conference on Learning Representations (ICLR), Kigali, Rwanda, 1 - 5 May 2023. New York, NY, United States: Cornell Tech. doi: 10.48550/arXiv.2301.09249 |
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2023 Journal Article Source-free progressive graph learning for open-set domain adaptationLuo, Yadan, Wang, Zijian, Chen, Zhuoxiao, Huang, Zi and Baktashmotlagh, Mahsa (2023). Source-free progressive graph learning for open-set domain adaptation. IEEE Transactions on Pattern Analysis and Machine Intelligence, 45 (9), 1-16. doi: 10.1109/tpami.2023.3270288 |
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2023 Journal Article Interpretable signed link prediction with signed infomax hyperbolic graphLuo, Yadan, Huang, Zi, Chen, Hongxu, Yang, Yang, Yin, Hongzhi and Baktashmotlagh, Mahsa (2023). Interpretable signed link prediction with signed infomax hyperbolic graph. IEEE Transactions on Knowledge and Data Engineering, 35 (4), 3991-4002. doi: 10.1109/TKDE.2021.3139035 |
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2023 Conference Publication Center-aware adversarial augmentation for single domain generalizationChen, Tianle, Baktashmotlagh, Mahsa, Wang, Zijian and Salzmann, Mathieu (2023). Center-aware adversarial augmentation for single domain generalization. 23rd IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), Waikoloa, HI, United States, 2-7 January 2023. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/wacv56688.2023.00414 |
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2023 Conference Publication Convolutional Persistence as a Remedy to Neural Model AnalysisKhramtsova, Ekaterina, Zuccon, Guido, Wang, Xi and Baktashmotlagh, Mahsa (2023). Convolutional Persistence as a Remedy to Neural Model Analysis. International Conference on Artificial Intelligence and Statistics, Valencia, Spain, 25-27 April 2023. Brookline, MA United States: ML Research Press. |
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2023 Conference Publication FFM: injecting out-of-domain knowledge via factorized frequency modificationWang, Zijian, Luo, Yadan, Huang, Zi and Baktashmotlagh, Mahsa (2023). FFM: injecting out-of-domain knowledge via factorized frequency modification. 23rd IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), Waikoloa, HI, United States, 3-7 January 2023. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/wacv56688.2023.00412 |
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2022 Conference Publication Contrastive Class-aware Adaptation for Domain GeneralizationChen, Tianle, Baktashmotlagh, Mahsa and Salzmann, Mathieu (2022). Contrastive Class-aware Adaptation for Domain Generalization. 2022 26th International Conference on Pattern Recognition (ICPR), Montreal, QC Canada, 21-25 August 2022. Piscataway, NJ United States: IEEE. doi: 10.1109/icpr56361.2022.9956262 |
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2022 Conference Publication Rethinking persistent homology for visual recognitionKhramtsova, Ekaterina, Zuccon, Guido, Wang, Xi and Baktashmotlagh, Mahsa (2022). Rethinking persistent homology for visual recognition. Topological, Algebraic and Geometric Learning Workshops, Online, 25-22 July 2022. Brookline, MA United States: ML Research Press. |
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2022 Conference Publication Learning to generate the unknowns as a remedy to the open-set domain shiftBaktashmotlagh, Mahsa, Chen, Tianle and Salzmann, Mathieu (2022). Learning to generate the unknowns as a remedy to the open-set domain shift. 22nd IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), Waikoloa, HI, United States, 3-8 January 2022. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/WACV51458.2022.00379 |
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2022 Conference Publication Master of all: simultaneous generalization of urban-scene segmentation to all adverse weather conditionsReddy, Nikhil, Singhal, Abhinav, Kumar, Abhishek, Baktashmotlagh, Mahsa and Arora, Chetan (2022). Master of all: simultaneous generalization of urban-scene segmentation to all adverse weather conditions. Computer Vision – ECCV 2022, Tel Aviv, Israel, 23-27 October 2022. Heidelberg, Germany: Springer. doi: 10.1007/978-3-031-19842-7_4 |
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2022 Conference Publication Modular construction planning using graph neural network heuristic searchHawkins, Philip, Maire, Frederic, Denman, Simon and Baktashmotlagh, Mahsa (2022). Modular construction planning using graph neural network heuristic search. 34th Australasian Joint Conference on Artificial Intelligence (AI), Electr Network, 2-4 February 2022. Heidelberg, Germany: Springer. doi: 10.1007/978-3-030-97546-3_19 |
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2021 Conference Publication Conditional Extreme Value Theory for Open Set Video Domain AdaptationChen, Zhuoxiao, Luo, Yadan and Baktashmotlagh, Mahsa (2021). Conditional Extreme Value Theory for Open Set Video Domain Adaptation. MMAsia '21: ACM Multimedia Asia, Gold Coast, QLD Australia, 1 - 3 December 2021. New York, NY United States: Association for Computing Machinery. doi: 10.1145/3469877.3490600 |
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2021 Conference Publication Robust Re-identification of Manta Rays from Natural Markings by Learning Pose Invariant EmbeddingsMoskvyak, Olga, Maire, Frederic, Dayoub, Feras, Armstrong, Asia O. and Baktashmotlagh, Mahsa (2021). Robust Re-identification of Manta Rays from Natural Markings by Learning Pose Invariant Embeddings. 2021 Digital Image Computing: Techniques and Applications (DICTA), Gold Coast, QLD Australia, 29 November 2021 - 1 December 2021. Piscataway, NJ United States: IEEE. doi: 10.1109/dicta52665.2021.9647359 |
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2021 Conference Publication Semi-supervised keypoint localizationMoskvyak, Olga, Maire, Frederic, Dayoub, Feras and Baktashmotlagh, Mahsa (2021). Semi-supervised keypoint localization. 9th International Conference on Learning Representations (ICLR) 2021, Virtual, 3-7 May 2021. Appleton, WI United States: International Conference on Learning Representations. doi: 10.48550/arXiv.2101.07988 |
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2021 Conference Publication Learning to diversify for single domain generalizationWang, Zijian, Luo, Yadan, Qiu, Ruihong, Huang, Zi and Baktashmotlagh, Mahsa (2021). Learning to diversify for single domain generalization. 2021 IEEE/CVF International Conference on Computer Vision (ICCV), Montreal, QC Canada, 10-17 October 2021. Piscataway, NJ USA: Institute of Electrical and Electronics Engineers. doi: 10.1109/ICCV48922.2021.00087 |
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2021 Conference Publication Neural-symbolic commonsense reasoner with relation predictorsMoghimifar, Farhad, Qu, Lizhen, Zhuo, Yue, Haffari, Gholamreza and Baktashmotlagh, Mahsa (2021). Neural-symbolic commonsense reasoner with relation predictors. 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, Online, 1-6 August 2021. Stroudsburg, PA, United States: Association for Computational Linguistics (ACL). doi: 10.18653/v1/2021.acl-short.100 |
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2021 Conference Publication Keypoint-aligned embeddings for image retrieval and re-identificationMoskvyak, Olga, Maire, Frederic, Dayoub, Feras and Baktashmotlagh, Mahsa (2021). Keypoint-aligned embeddings for image retrieval and re-identification. IEEE Winter Conference on Applications of Computer Vision (WACV), Waikoloa, HI, United States, 3-8 January 2021. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/WACV48630.2021.00072 |
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2020 Conference Publication CosMo: Conditional Seq2Seq-based Mixture Model for Zero-Shot Commonsense Question AnsweringMoghimifar, Farhad, Qu, Lizhen, Zhuo, Yue, Baktashmotlagh, Mahsa and Haffari, Gholamreza (2020). CosMo: Conditional Seq2Seq-based Mixture Model for Zero-Shot Commonsense Question Answering. 28th International Conference on Computational Linguistics, Barcelona, Spain, 8-13 December 2020. Stroudsburg, PA United States: International Committee on Computational Linguistics. doi: 10.18653/v1/2020.coling-main.467 |
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2020 Journal Article Closing the gap of simulation to reality in electromagnetic imaging of brain strokes via deep neural networksAl-Saffar, Ahmed, Bialkowski, Alina, Baktashmotlagh, Mahsa, Trakic, Adnan, Guo, Lei and Abbosh, Amin (2020). Closing the gap of simulation to reality in electromagnetic imaging of brain strokes via deep neural networks. IEEE Transactions on Computational Imaging, 7 9274540, 13-21. doi: 10.1109/tci.2020.3041092 |
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2020 Conference Publication Learning causal Bayesian networks from textMoghimifar, Farhad, Rahimi, Afshin, Baktashmotlagh, Mahsa and Li, Xue (2020). Learning causal Bayesian networks from text. The 18th Annual Workshop of the Australasian Language Technology Association, Virtual, 14-15 January 2021. Australasian Language Technology Association. |
