Dealing With the Novelty in Open Worlds
Auto QA: The Question Is Not Only What, but Also Where-
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[bibtex]@InProceedings{Kumar_2022_WACV, author = {Kumar, Sumit and Patro, Badri N. and Namboodiri, Vinay P.}, title = {Auto QA: The Question Is Not Only What, but Also Where}, booktitle = {Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) Workshops}, month = {January}, year = {2022}, pages = {272-281} }
Towards Unsupervised Online Domain Adaptation for Semantic Segmentation-
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[bibtex]@InProceedings{Kuznietsov_2022_WACV, author = {Kuznietsov, Yevhen and Proesmans, Marc and Van Gool, Luc}, title = {Towards Unsupervised Online Domain Adaptation for Semantic Segmentation}, booktitle = {Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) Workshops}, month = {January}, year = {2022}, pages = {261-271} }
VQuAD: Video Question Answering Diagnostic Dataset-
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[bibtex]@InProceedings{Gupta_2022_WACV, author = {Gupta, Vivek and Patro, Badri N. and Parihar, Hemant and Namboodiri, Vinay P.}, title = {VQuAD: Video Question Answering Diagnostic Dataset}, booktitle = {Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) Workshops}, month = {January}, year = {2022}, pages = {282-291} }
Reconstructive Training for Real-World Robustness in Image Classification-
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[bibtex]@InProceedings{Patrick_2022_WACV, author = {Patrick, David and Geyer, Michael and Tran, Richard and Fernandez, Amanda}, title = {Reconstructive Training for Real-World Robustness in Image Classification}, booktitle = {Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) Workshops}, month = {January}, year = {2022}, pages = {251-260} }
Inductive Biases for Low Data VQA: A Data Augmentation Approach-
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[bibtex]@InProceedings{Askarian_2022_WACV, author = {Askarian, Narjes and Abbasnejad, Ehsan and Zukerman, Ingrid and Buntine, Wray and Haffari, Gholamreza}, title = {Inductive Biases for Low Data VQA: A Data Augmentation Approach}, booktitle = {Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) Workshops}, month = {January}, year = {2022}, pages = {231-240} }
Unsupervised BatchNorm Adaptation (UBNA): A Domain Adaptation Method for Semantic Segmentation Without Using Source Domain Representations-
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[bibtex]@InProceedings{Klingner_2022_WACV, author = {Klingner, Marvin and Term\"ohlen, Jan-Aike and Ritterbach, Jacob and Fingscheidt, Tim}, title = {Unsupervised BatchNorm Adaptation (UBNA): A Domain Adaptation Method for Semantic Segmentation Without Using Source Domain Representations}, booktitle = {Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) Workshops}, month = {January}, year = {2022}, pages = {210-220} }
Uncertainty Aware Proposal Segmentation for Unknown Object Detection-
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[bibtex]@InProceedings{Li_2022_WACV, author = {Li, Yimeng and Ko\v{s}eck\'a, Jana}, title = {Uncertainty Aware Proposal Segmentation for Unknown Object Detection}, booktitle = {Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) Workshops}, month = {January}, year = {2022}, pages = {241-250} }
Attention Guided Cosine Margin To Overcome Class-Imbalance in Few-Shot Road Object Detection-
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[bibtex]@InProceedings{Agarwal_2022_WACV, author = {Agarwal, Ashutosh and Majee, Anay and Subramanian, Anbumani and Arora, Chetan}, title = {Attention Guided Cosine Margin To Overcome Class-Imbalance in Few-Shot Road Object Detection}, booktitle = {Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) Workshops}, month = {January}, year = {2022}, pages = {221-230} }