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Context-aware Scene Graph Generation with Seq2Seq Transformers.

Y. Lu, H. Rai, J. Chang, B. Knyazev, G. Yu, S. Shekhar, G. Taylor, и M. Volkovs. ICCV, стр. 15911-15921. IEEE, (2021)

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Другие публикации лиц с тем же именем

Noise Contrastive Estimation for One-Class Collaborative Filtering.G. Wu, M. Volkovs, C. Soon, S. Sanner, и H. Rai. SIGIR, стр. 135-144. ACM, (2019)Weakly Supervised Action Selection Learning in Video.J. Ma, S. Gorti, M. Volkovs, и G. Yu. CVPR, стр. 7587-7596. Computer Vision Foundation / IEEE, (2021)Collaborative Ranking With 17 Parameters.M. Volkovs, и R. Zemel. NIPS, стр. 2303-2311. (2012)Self-supervised Representation Learning from Random Data Projectors.Y. Sui, T. Wu, J. Cresswell, G. Wu, G. Stein, X. Huang, X. Zhang, и M. Volkovs. ICLR, OpenReview.net, (2024)Robust contextual models for in-session personalization.M. Volkovs, A. Wong, Z. Cheng, F. Pérez, I. Stanevich, и Y. Lu. RecSys Challenge, стр. 2:1-2:5. ACM, (2019)Temporal Dependencies in Feature Importance for Time Series Predictions.C. Rooke, J. Smith, K. Leung, M. Volkovs, и S. Zuberi. CoRR, (2021)Continuous data cleaning.M. Volkovs, F. Chiang, J. Szlichta, и R. Miller. ICDE, стр. 244-255. IEEE Computer Society, (2014)DuETT: Dual Event Time Transformer for Electronic Health Records.A. Labach, A. Pokhrel, X. Huang, S. Zuberi, S. Yi, M. Volkovs, T. Poutanen, и R. Krishnan. MLHC, том 219 из Proceedings of Machine Learning Research, стр. 403-422. PMLR, (2023)Explore-Exploit Graph Traversal for Image Retrieval.C. Chang, G. Yu, C. Liu, и M. Volkovs. CVPR, стр. 9423-9431. Computer Vision Foundation / IEEE, (2019)Learning to rank by aggregating expert preferences.M. Volkovs, H. Larochelle, и R. Zemel. CIKM, стр. 843-851. ACM, (2012)

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копироватьудалитьдобавить публикацию в буферЗапись сообществапосмотреть историю данной записиURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Context-aware Scene Graph Generation with Seq2Seq Transformers.

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