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DeepLab2: A TensorFlow Library for Deep Labeling


Jun 17, 2021
Mark Weber, Huiyu Wang, Siyuan Qiao, Jun Xie, Maxwell D. Collins, Yukun Zhu, Liangzhe Yuan, Dahun Kim, Qihang Yu, Daniel Cremers, Laura Leal-Taixe, Alan L. Yuille, Florian Schroff, Hartwig Adam, Liang-Chieh Chen

* 4-page technical report. The first three authors contributed equally to this work 

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4D Panoptic LiDAR Segmentation


Feb 24, 2021
Mehmet Aygün, Aljoša Ošep, Mark Weber, Maxim Maximov, Cyrill Stachniss, Jens Behley, Laura Leal-Taixé


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STEP: Segmenting and Tracking Every Pixel


Feb 23, 2021
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, Liang-Chieh Chen

* Datasets, metric, and baselines will be made publicly available soon 

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Single-Shot Panoptic Segmentation


Nov 02, 2019
Mark Weber, Jonathon Luiten, Bastian Leibe


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Anti-Money Laundering in Bitcoin: Experimenting with Graph Convolutional Networks for Financial Forensics


Jul 31, 2019
Mark Weber, Giacomo Domeniconi, Jie Chen, Daniel Karl I. Weidele, Claudio Bellei, Tom Robinson, Charles E. Leiserson

* 7 pages, Tutorial in the Anomaly Detection in Finance Workshop at the 25th SIGKDD Conference on Knowledge Discovery and Data Mining 

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Visual Person Understanding through Multi-Task and Multi-Dataset Learning


Jun 07, 2019
Kilian Pfeiffer, Alexander Hermans, István Sárándi, Mark Weber, Bastian Leibe


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4D Generic Video Object Proposals


Jan 26, 2019
Aljosa Osep, Paul Voigtlaender, Mark Weber, Jonathon Luiten, Bastian Leibe

* 16 pages (10 paper + 6 supplementary), 11 figures, 11 tables 

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Scalable Graph Learning for Anti-Money Laundering: A First Look


Nov 30, 2018
Mark Weber, Jie Chen, Toyotaro Suzumura, Aldo Pareja, Tengfei Ma, Hiroki Kanezashi, Tim Kaler, Charles E. Leiserson, Tao B. Schardl

* NeurIPS 2018 Workshop on Challenges and Opportunities for AI in Financial Services: the Impact of Fairness, Explainability, Accuracy, and Privacy, Montreal, Canada 

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