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Variational Autoencoded Regression: High Dimensional Regression of Visual Data on Complex Manifold.

, , , , and . CoRR, (2019)

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Neural Approximation of an Auto-Regressive Process through Confidence Guided Sampling., , , , and . CoRR, (2019)Slowing Down the Weight Norm Increase in Momentum-based Optimizers., , , , , , and . CoRR, (2020)ReXNet: Diminishing Representational Bottleneck on Convolutional Neural Network., , , and . CoRR, (2020)Concentrated-Comprehensive Convolutions for lightweight semantic segmentation., , , , , and . CoRR, (2018)Which Shortcut Cues Will DNNs Choose? A Study from the Parameter-Space Perspective., , , , and . CoRR, (2021)Density-Aware Pedestrian Proposal Networks for Robust People Detection in Crowded Scenes., , , and . ECCV Workshops (2), volume 9914 of Lecture Notes in Computer Science, page 643-654. (2016)Rethinking Spatial Dimensions of Vision Transformers., , , , , and . ICCV, page 11916-11925. IEEE, (2021)Neglected Free Lunch - Learning Image Classifiers Using Annotation Byproducts., , , , , , , and . ICCV, page 20143-20155. IEEE, (2023)Rethinking Channel Dimensions for Efficient Model Design., , , and . CVPR, page 732-741. Computer Vision Foundation / IEEE, (2021)VisDrone-SOT2018: The Vision Meets Drone Single-Object Tracking Challenge Results., , , , , , , , , and 63 other author(s). ECCV Workshops (5), volume 11133 of Lecture Notes in Computer Science, page 469-495. Springer, (2018)