MOPT: Multi-Object Panoptic Tracking

Monocular 3d scene modeling and inference: Understanding multi-object traffic scenes

Christian Wojek, Stefan Roth, Konrad Schindler, and Bernt Schiele · 2010

Earlier work this paper cites.

Faster r-cnn: Towards real-time object detection with region proposal networks

Shaoqing Ren, Kaiming He, Ross Girshick, and Jian Sun · 2015

Earlier work this paper cites.

Ssd: Single shot multibox detector

Wei Liu, Dragomir Anguelov, Dumitru Erhan, Christian Szegedy, Scott Reed, Cheng-Yang Fu, and Alexander C Berg · 2016

Earlier work this paper cites.

Convoluted mixture of deep experts for robust semantic segmentation

Abhinav Valada, Ankit Dhall, and Wolfram Burgard · 2016

Earlier work this paper cites.

Loss max-pooling for semantic image segmentation

Samuel Rota Bulo, Gerhard Neuhold, and Peter Kontschieder · 2017

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Mask r-cnn

Kaiming He, Georgia Gkioxari, Piotr Dollár, and Ross Girshick · 2017

Earlier work this paper cites.

In defense of the triplet loss for person re-identification

Original

Alexander Hermans, Lucas Beyer, and Bastian Leibe · 2017

Earlier work this paper cites.

Deep spatiotemporal models for robust proprioceptive terrain classification

Abhinav Valada and Wolfram Burgard · 2017

Earlier work this paper cites.

Searching for efficient multi-scale architectures for dense image prediction

Liang-Chieh Chen, Maxwell Collins, Yukun Zhu, George Papandreou, Barret Zoph, Florian Schroff, Hartwig Adam, and Jon Shlens · 2018

Earlier work this paper cites.

Multimodal interaction-aware motion prediction for autonomous street crossing

Original

Noha Radwan, Abhinav Valada, and Wolfram Burgard · 2018

Earlier work this paper cites.

In-place activated batchnorm for memory-optimized training of dnns

Samuel Rota Bulò, Lorenzo Porzi, and Peter Kontschieder · 2018

Earlier work this paper cites.

Weedmap: a large-scale semantic weed mapping framework using aerial multispectral imaging and deep neural network for precision farming

Inkyu Sa, Marija Popović, Raghav Khanna, Zetao Chen, Philipp Lottes, Frank Liebisch, Juan Nieto, Cyrill Stachniss, Achim Walter, and Roland Siegwart · 2018

Cited alongside, same era.

Incorporating semantic and geometric priors in deep pose regression

Abhinav Valada, Noha Radwan, and Wolfram Burgard · 2018

Cited alongside, same era.

Panoptic feature pyramid networks

Alexander Kirillov, Ross Girshick, Kaiming He, and Piotr Dollár · 2019

Cited alongside, same era.

Panoptic segmentation

Alexander Kirillov, Kaiming He, Ross Girshick, Carsten Rother, and Piotr Dollár · 2019

Cited alongside, same era.

Pointpillars: Fast encoders for object detection from point clouds

Alex H Lang, Sourabh Vora, Holger Caesar, Lubing Zhou, Jiong Yang, and Oscar Beijbom · 2019

Cited alongside, same era.

Semantic interaction in augmented reality environments for microsoft hololens

Peer Schütt, Max Schwarz, and Sven Behnke · 2019

Later among the works it cites.

Efficientnet: Rethinking model scaling for convolutional neural networks

Mingxing Tan and Quoc V Le · 2019

Later among the works it cites.

Kpconv: Flexible and deformable convolution for point clouds

Hugues Thomas, Charles R Qi, Jean-Emmanuel Deschaud, Beatriz Marcotegui, François Goulette, and Leonidas J Guibas · 2019

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Mots: Multi-object tracking and segmentation

Paul Voigtlaender, Michael Krause, Aljosa Osep, Jonathon Luiten, Berin Balachandar Gnana Sekar, Andreas Geiger, and Bastian Leibe · 2019

Later among the works it cites.

Fast online object tracking and segmentation: A unifying approach

Qiang Wang, Li Zhang, Luca Bertinetto, Weiming Hu, and Philip HS Torr · 2019

Later among the works it cites.

Upsnet: A unified panoptic segmentation network