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Alexander Kirillov
Alexander Kirillov
Research Scientist, Facebook AI Research (FAIR)
Bestätigte E-Mail-Adresse bei fb.com - Startseite
Titel
Zitiert von
Zitiert von
Jahr
End-to-end object detection with transformers
N Carion, F Massa, G Synnaeve, N Usunier, A Kirillov, S Zagoruyko
Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020
48562020
Detectron2
Y Wu, A Kirillov, F Massa, WY Lo, R Girshick
1688*2019
Panoptic segmentation
A Kirillov, K He, R Girshick, C Rother, P Dollár
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
9342019
Panoptic Feature Pyramid Networks
A Kirillov, R Girshick, K He, P Dollár
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
7882019
Pointrend: Image segmentation as rendering
A Kirillov, Y Wu, K He, R Girshick
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020
4972020
Exploring randomly wired neural networks for image recognition
S Xie, A Kirillov, R Girshick, K He
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019
3322019
Per-pixel classification is not all you need for semantic segmentation
B Cheng, A Schwing, A Kirillov
Advances in Neural Information Processing Systems 34, 17864-17875, 2021
2982021
InstanceCut: from Edges to Instances with MultiCut
A Kirillov, E Levinkov, B Andres, B Savchynskyy, C Rother
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017
2662017
Trackformer: Multi-object tracking with transformers
T Meinhardt, A Kirillov, L Leal-Taixe, C Feichtenhofer
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022
2542022
Masked-attention mask transformer for universal image segmentation
B Cheng, I Misra, AG Schwing, A Kirillov, R Girdhar
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
1822022
Conditional random fields meet deep neural networks for semantic segmentation: Combining probabilistic graphical models with deep learning for structured prediction
A Arnab, S Zheng, S Jayasumana, B Romera-Paredes, M Larsson, ...
IEEE Signal Processing Magazine 35 (1), 37-52, 2018
1342018
Global hypothesis generation for 6D object pose estimation
F Michel, A Kirillov, E Brachmann, A Krull, S Gumhold, B Savchynskyy, ...
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017
1282017
Joint Graph Decomposition & Node Labeling: Problem, Algorithms, Applications
E Levinkov, J Uhrig, S Tang, M Omran, E Insafutdinov, A Kirillov, C Rother, ...
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017
1262017
Boundary iou: Improving object-centric image segmentation evaluation
B Cheng, R Girshick, P Dollár, AC Berg, A Kirillov
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
942021
Slip: Self-supervision meets language-image pre-training
N Mu, A Kirillov, D Wagner, S Xie
Computer Vision–ECCV 2022: 17th European Conference, Tel Aviv, Israel …, 2022
912022
Analyzing Modular CNN Architectures for Joint Depth Prediction and Semantic Segmentation
OH Jafari, O Groth, A Kirillov, MY Yang, C Rother
IEEE International Conference on Robotics and Automation (ICRA), 2017, 2017
722017
Joint Training of Generic CNN-CRF Models with Stochastic Optimization
A Kirillov, D Schlesinger, S Zheng, B Savchynskyy, PHS Torr, C Rother
The 13th Asian Conference on Computer Vision (ACCV), 2016
46*2016
Inferring M-Best Diverse Labelings in a Single One
A Kirillov, B Savchynskyy, D Schlesinger, D Vetrov, C Rother
The IEEE International Conference on Computer Vision (ICCV), 2015
452015
Pointly-supervised instance segmentation
B Cheng, O Parkhi, A Kirillov
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
332022
A unified architecture for instance and semantic segmentation
A Kirillov, K He, R Girshick, P Dollár
312017
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