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DepthMOT: Depth Cues Lead to a Strong Multi-Object Tracker.

, и . CoRR, (2024)

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Jinglan Wu

Recovery of citric acid from fermentation broth using simulated moving bed technology: = Reinigung von Zitronensäure aus Fermentationslösung durch kontinuierliche Chromatographie. Uni Erlangen-Nürnberg, (2009)

Zongmin Wu

Dagang Wu

Weijia Wu

Hongzhong Wu

 

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SimiEncode: A Similarity-based Encoding Scheme to Improve Performance and Lifetime of Non-Volatile Main Memory., , , , , и . ICCD, стр. 220-227. IEEE, (2021)TIE: A Framework for Embedding-based Incremental Temporal Knowledge Graph Completion., , , , , и . SIGIR, стр. 428-437. ACM, (2021)NodePiece: Compositional and Parameter-Efficient Representations of Large Knowledge Graphs., , , и . ICLR, OpenReview.net, (2022)Factual Error Correction for Abstractive Summarization Models., , , и . EMNLP (1), стр. 6251-6258. Association for Computational Linguistics, (2020)FSDedup: Feature-Aware and Selective Deduplication for Improving Performance of Encrypted Non-Volatile Main Memory., , , , , , , , и . ACM Trans. Storage, 20 (4): 22:1-22:33 (ноября 2024)Structure Aware Experience Replay for Incremental Learning in Graph-based Recommender Systems., , , , , и . CIKM, стр. 2832-2836. ACM, (2021)Capability of Remotely Sensed Drought Indices for Representing the Spatio-Temporal Variations of the Meteorological Droughts in the Yellow River Basin., , , , , и . Remote. Sens., 10 (11): 1834 (2018)DepthMOT: Depth Cues Lead to a Strong Multi-Object Tracker., и . CoRR, (2024)ESD: An ECC-assisted and Selective Deduplication for Encrypted Non-Volatile Main Memory., , , , и . HPCA, стр. 977-990. IEEE, (2023)Benchmarking Robust Self-Supervised Learning Across Diverse Downstream Tasks., , , , , , , , и . CoRR, (2024)