Anelia Angelova
Anelia Angelova
Research Scientist, Google
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Real-time grasp detection using convolutional neural networks
J Redmon, A Angelova
2015 IEEE international conference on robotics and automation (ICRA), 1316-1322, 2015
Unsupervised learning of depth and ego-motion from monocular video using 3d geometric constraints
R Mahjourian, M Wicke, A Angelova
Proceedings of the IEEE conference on computer vision and pattern …, 2018
Depth prediction without the sensors: Leveraging structure for unsupervised learning from monocular videos
V Casser, S Pirk, R Mahjourian, A Angelova
Proceedings of the AAAI conference on artificial intelligence 33 (01), 8001-8008, 2019
Pali: A jointly-scaled multilingual language-image model
X Chen, X Wang, S Changpinyo, AJ Piergiovanni, P Padlewski, D Salz, ...
arXiv preprint arXiv:2209.06794, 2022
Depth from videos in the wild: Unsupervised monocular depth learning from unknown cameras
A Gordon, H Li, R Jonschkowski, A Angelova
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019
Real-time pedestrian detection with deep network cascades.
A Angelova, A Krizhevsky, V Vanhoucke, AS Ogale, D Ferguson
Bmvc 2, 4, 2015
Computer vision on Mars
L Matthies, M Maimone, A Johnson, Y Cheng, R Willson, C Villalpando, ...
International Journal of Computer Vision 75, 67-92, 2007
Efficient object detection and segmentation for fine-grained recognition
A Angelova, S Zhu
Proceedings of the IEEE conference on computer vision and pattern …, 2013
Pruning training sets for learning of object categories
A Angelova, Y Abu-Mostafam, P Perona
2005 IEEE Computer Society Conference on Computer Vision and Pattern …, 2005
What matters in unsupervised optical flow
R Jonschkowski, A Stone, JT Barron, A Gordon, K Konolige, A Angelova
Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020
Learning and prediction of slip from visual information
A Angelova, L Matthies, D Helmick, P Perona
Journal of Field Robotics 24 (3), 205-231, 2007
Evolving losses for unsupervised video representation learning
AJ Piergiovanni, A Angelova, MS Ryoo
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020
Terrain adaptive navigation for planetary rovers
D Helmick, A Angelova, L Matthies
Journal of Field Robotics 26 (4), 391-410, 2009
Shapemask: Learning to segment novel objects by refining shape priors
W Kuo, A Angelova, J Malik, TY Lin
Proceedings of the IEEE/CVF international conference on computer vision …, 2019
Probabilistic object detection: Definition and evaluation
D Hall, F Dayoub, J Skinner, H Zhang, D Miller, P Corke, G Carneiro, ...
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2020
Pedestrian detection with a large-field-of-view deep network
A Angelova, A Krizhevsky, V Vanhoucke
2015 IEEE international conference on robotics and automation (ICRA), 704-711, 2015
Tokenlearner: Adaptive space-time tokenization for videos
M Ryoo, AJ Piergiovanni, A Arnab, M Dehghani, A Angelova
Advances in neural information processing systems 34, 12786-12797, 2021
Unsupervised monocular depth learning in dynamic scenes
H Li, A Gordon, H Zhao, V Casser, A Angelova
Conference on Robot Learning, 1908-1917, 2021
F-vlm: Open-vocabulary object detection upon frozen vision and language models
W Kuo, Y Cui, X Gu, AJ Piergiovanni, A Angelova
arXiv preprint arXiv:2209.15639, 2022
Fast terrain classification using variable-length representation for autonomous navigation
A Angelova, L Matthies, D Helmick, P Perona
2007 IEEE Conference on Computer Vision and Pattern Recognition, 1-8, 2007
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