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Getting Robots Unfrozen and Unlost in Dense Pedestrian Crowds., , , , , , and . IEEE Robotics and Automation Letters, 4 (2): 1178-1185 (2019)Leveraging Long-Term Predictions and Online-Learning in Agent-based Multiple Person Tracking., , , and . CoRR, (2014)Exemplar-AMMs: Recognizing Crowd Movements from Pedestrian Trajectories., , , and . CoRR, (2016)SuperCNN: A Superpixelwise Convolutional Neural Network for Salient Object Detection., , , , and . International Journal of Computer Vision, 115 (3): 330-344 (2015)BRVO: Predicting pedestrian trajectories using velocity-space reasoning., , , , , , and . I. J. Robotics Res., 34 (2): 201-217 (2015)Deformable Object Tracking with Gated Fusion., , , , , and . CoRR, (2018)Fully Distributed Multi-Robot Collision Avoidance via Deep Reinforcement Learning for Safe and Efficient Navigation in Complex Scenarios., , , and . CoRR, (2018)3-D Deconvolutional Networks for the Unsupervised Representation Learning of Human Motions., , , , , and . IEEE Trans. Cybern., 52 (1): 398-410 (2022)Context-Aware Spatio-Recurrent Curvilinear Structure Segmentation., , , , , and . CVPR, page 12648-12657. Computer Vision Foundation / IEEE, (2019)Stereoscopic Image Generation From Light Field With Disparity Scaling and Super-Resolution., , , and . IEEE Trans. Image Processing, (2020)