Ismail Elezi, Sebastiano Vascon, Alessandro Torcinovich, Marcello Pelillo, and Laura Leal-Taixe.Įuropean Conference on Computer Vision (ECCV), Sabarinath Mahadevan, Ali Athar, Aljosa Osep, Sebastian Hennen, Laura Leal-Taixe, and Bastian Leibe.īritish Machine Vision Conference (BMVC), Making a Case for 3D Convolutions for Object Segmentation in Videos. Jonathon Luiten, Aljosa Osep, Patrick Dendorfer, Philip Torr, Andreas Geiger, Laura Leal-Taixe, and Bastian Leibe. HOTA: A Higher Order Metric for Evaluating Multi-Object Tracking.
International Conference on Intelligent Robots and Systems (IROS), Mark Weber, Jonathon Luiten, and Bastian Leibe. Patrick Dendorfer, Aljosa Osep, and Laura Leal-Taixe.Īsian Conference on Computer Vision (ACCV), Goal-GAN: Multimodal Trajectory Prediction Based on Goal Position Estimation. Marvin Eisenberger, Aysim Toker, Laura Leal-Taixe, and Daniel Cremers.
Neural Information Processing Systems (NeurIPS),ĭeep Shells: Unsupervised Shape Correspondence with Optimal Transport. Make One-Shot Video Object Segmentation Efficient Again. International Journal of Computer Vision (IJCV), Patrick Dendorfer, Aljosa Osep, Anton Milan, Konrad Schindler, Daniel Cremers, Ian Reid, Stefan Roth, and Laura Leal-Taixe. MOTChallenge: A Benchmark for Single-camera Multiple Target Tracking. International Conference on Machine Learning (ICML), Jenny Seidenschwarz, Ismail Elezi, and Laura Leal-Taixe. Learning Intra-Batch Connections for Deep Metric Learning. IEEE International Conference on Robotics and Automation (ICRA), Qunjie Zhou, Torsten Sattler, and Laura Leal-Taixe.Ĭoming Down to Earth: Satellite-to-Street View Synthesis for Geo-Localization.Īysim Toker, Qunjie Zhou, Maxim Maximov, and Laura Leal-Taixe.ĮagerMOT: 3D Multi-Object Tracking via Sensor Fusion.Īleksandr Kim, Aljosa Osep, and Laura Leal-Taixe. Patch2Pix: Epipolar-Guided Pixel-Level Correspondences. Mehmet Aygun, Aljosa Osep, Mark Weber, Maxim Maximov, Cyrill Stachniss, Jens Behley, and Laura Leal-Taixe.Ĭonference on Computer Vision and Pattern Recognition (CVPR), Mark Weber, Jun Xie, Maxwell Collins, Yukun Zhu, Paul Voigtlaender, Hartwig Adam, Bradley Green, Andreas Geiger, Bastian Leibe, Daniel Cremers, Aljosa Osep, Laura Leal-Taixe, and Liang-Chieh Chen. STEP: Segmenting and Tracking Every Pixel. Yuille, Florian Schroff, Hartwig Adam, and Liang-Chieh Chen. Collins, Yukun Zhu, Liangzhe Yuan, Dahun Kim, Qihang Yu, Daniel Cremers, Laura Leal-Taixe, Alan L. Mark Weber, Huiyu Wang, Siyuan Qiao, Jun Xie, Maxwell D. Alvarez.ĭeepLab2: A TensorFlow Library for Deep Labeling. Jiwoong Choi, Ismail Elezi, Hyuk-Jae Lee, Clement Farabet, and Jose M. Yang Liu, Idil Esen Zulfikar, Jonathon Luiten, Achal Dave, Aljosa Osep, Deva Ramanan, Bastian Leibe, and Laura Leal-Taixe.Īctive Learning for Deep Object Detection via Probabilistic Modeling. Matteo Fabbri, Guillem Braso, Gianluca Maugeri, Aljosa Osep, Riccardo Gasparini, Orcun Cetintas, Simone Calderara, Laura Leal-Taixe, and Rita Cucchiara. MOTSynth: How Can Synthetic Data Help Pedestrian Detection and Tracking?. International Conference on Computer Vision (ICCV) (oral), Sergio Agostinho, Aljosa Osep, Alessio Del Bue, and Laura Leal-Taixe.
#MAXIM KOREA 2015 PDF REGISTRATION#
(Just) A Spoonful of Refinements Helps the Registration Error Go Down. Patrick Dendorfer*, Sven Elflein*, and Laura Leal-Taixé. MG-GAN: A Multi-Generator Model Preventing Out-of-Distribution Samples in Pedestrian Trajectory Prediction. International Conference on Computer Vision (ICCV), Guillem Braso, Nikita Kister, and Laura Leal-Taixe. The Center of Attention: Center-Keypoint Grouping Attention for Multi-Person Pose Estimation.
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