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Dive into the research topics where Einoshin Suzuki is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Object Attention for Image Generation from Hyper Scene Graphs with Trinomial Hyperedges
Matsukawa, T., Miyake, R. & Suzuki, E., 2026, Computer Vision, Imaging and Computer Graphics Theory and Applications - 19th International Joint Conference, VISIGRAPP 2024, Revised Selected Papers. Bashford-Rogers, T., Meneveaux, D., Ziat, M., Ammi, M., Jänicke, S., Purchase, H., Radeva, P., Furnari, A., Bouatouch, K. & de Sousa, A. A. (eds.). Springer Science and Business Media Deutschland GmbH, p. 373-396 24 p. (Communications in Computer and Information Science; vol. 2548 CCIS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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A Robust Person Shape Representation via Grassmann Channel Pooling
Matsukawa, T. & Suzuki, E., 2025, Pattern Recognition - 27th International Conference, ICPR 2024, Proceedings. Antonacopoulos, A., Chaudhuri, S., Chellappa, R., Liu, C.-L., Bhattacharya, S. & Pal, U. (eds.). Springer Science and Business Media Deutschland GmbH, p. 455-474 20 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) ; vol. 15308 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Open Access -
Compact Goal Representation Learning via Information Bottleneck in Goal-Conditioned Reinforcement Learning
Zou, Q. & Suzuki, E., 2025, In: IEEE Transactions on Neural Networks and Learning Systems. 36, 2, p. 2368-2381 14 p.Research output: Contribution to journal › Article › peer-review
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Detecting anomalies in human monitoring based on multimodal multiview self-supervised learning
Avellaneda Gonzalez, J. A., Matsukawa, T. & Suzuki, E., May 2025, In: Machine Vision and Applications. 36, 3, 62.Research output: Contribution to journal › Article › peer-review
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Leveraging Personalized Item-Level Co-occurrence Neighborhoods for Within-Basket Recommendation
Li, M. & Suzuki, E., 2025, Proceedings of 17th International Conference on Machine Learning and Computing - ICMLC 2025. Huang, L. & Greenhalgh, D. (eds.). Springer Science and Business Media Deutschland GmbH, p. 323-335 13 p. (Lecture Notes in Networks and Systems; vol. 1475 LNNS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution