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Learning With Average Precision: Training Image Retrieval With a Listwise Loss., , , and . ICCV, page 5106-5115. IEEE, (2019)MFOS: Model-Free & One-Shot Object Pose Estimation., , , , and . CoRR, (2023)R2D2: Reliable and Repeatable Detector and Descriptor., , , and . NeurIPS, page 12405-12415. (2019)CroCo v2: Improved Cross-view Completion Pre-training for Stereo Matching and Optical Flow., , , , , , , , , and . ICCV, page 17923-17934. IEEE, (2023)The AXES submissions at TRECVID 2013., , , , , , , , , and 9 other author(s). TRECVID, National Institute of Standards and Technology (NIST), (2013)SuperLoss: A Generic Loss for Robust Curriculum Learning., , and . NeurIPS, (2020)Did It Change? Learning to Detect Point-Of-Interest Changes for Proactive Map Updates., , , , and . CVPR, page 4086-4095. Computer Vision Foundation / IEEE, (2019)Event Retrieval in Large Video Collections with Circulant Temporal Encoding., , , and . CVPR, page 2459-2466. IEEE Computer Society, (2013)MFOS: Model-Free & One-Shot Object Pose Estimation., , , , and . AAAI, page 2911-2919. AAAI Press, (2024)Improving Zernike Moments Comparison for Optimal Similarity and Rotation Angle Retrieval, , and . IEEE Transactions on Pattern Analysis and Machine Intelligence, (2008)Accepted for future publication, April 14 2008.