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Learn to Predict Sets Using Feed-Forward Neural Networks., , , , , , , , and . IEEE Trans. Pattern Anal. Mach. Intell., 44 (12): 9011-9025 (2022)MOTSynth: How Can Synthetic Data Help Pedestrian Detection and Tracking?, , , , , , , , and . ICCV, page 10829-10839. IEEE, (2021)How to Train Your Deep Multi-Object Tracker., , , , , and . CVPR, page 6786-6795. Computer Vision Foundation / IEEE, (2020)STEP: Segmenting and Tracking Every Pixel., , , , , , , , , and 3 other author(s). NeurIPS Datasets and Benchmarks, (2021)Deep Shells: Unsupervised Shape Correspondence with Optimal Transport., , , and . NeurIPS, (2020)Staged Contact-Aware Global Human Motion Forecasting., , , , , and . BMVC, page 589-594. BMVA Press, (2023)HistoNet: Predicting size histograms of object instances., , , , and . CoRR, (2019)Learning a Neural Solver for Multiple Object Tracking., and . CoRR, (2019)DeepLab2: A TensorFlow Library for Deep Labeling., , , , , , , , , and 5 other author(s). CoRR, (2021)The 2021 Image Similarity Dataset and Challenge., , , , , , , , , and 2 other author(s). CoRR, (2021)