| Fast and accurate k-means for large datasets M Shindler, A Wong, A Meyerson Advances in neural information processing systems 24, 2011 | 217 | 2011 |
| Dense depth posterior (ddp) from single image and sparse range Y Yang, A Wong, S Soatto Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 130 | 2019 |
| Umlsbert: Clinical domain knowledge augmentation of contextual embeddings using the unified medical language system metathesaurus G Michalopoulos, Y Wang, H Kaka, H Chen, A Wong arXiv preprint arXiv:2010.10391, 2020 | 116 | 2020 |
| Unsupervised Depth Completion From Visual Inertial Odometry A Wong, X Fei, S Tsuei, S Soatto IEEE Robotics and Automation Letters 5 (2), 1899-1906, 2020 | 109 | 2020 |
| Bilateral cyclic constraint and adaptive regularization for unsupervised monocular depth prediction A Wong, S Soatto Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 87 | 2019 |
| Unsupervised depth completion with calibrated backprojection layers A Wong, S Soatto Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 73 | 2021 |
| Geo-supervised visual depth prediction X Fei, A Wong, S Soatto IEEE Robotics and Automation Letters 4 (2), 1661-1668, 2019 | 71 | 2019 |
| Learning topology from synthetic data for unsupervised depth completion A Wong, S Cicek, S Soatto IEEE Robotics and Automation Letters 6 (2), 1495-1502, 2021 | 54 | 2021 |
| Fluorescence microscopy image noise reduction using a stochastically-connected random field model SA Haider, A Cameron, P Siva, D Lui, MJ Shafiee, A Boroomand, ... Scientific reports 6 (1), 20640, 2016 | 53 | 2016 |
| One shot learning via compositions of meaningful patches A Wong, AL Yuille Proceedings of the IEEE International Conference on Computer Vision, 1197-1205, 2015 | 50 | 2015 |
| Targeted adversarial perturbations for monocular depth prediction A Wong, S Cicek, S Soatto Advances in neural information processing systems 33, 8486-8497, 2020 | 37 | 2020 |
| An adaptive framework for learning unsupervised depth completion A Wong, X Fei, BW Hong, S Soatto IEEE Robotics and Automation Letters 6 (2), 3120-3127, 2021 | 33 | 2021 |
| Spatial mapping of mitochondrial networks and bioenergetics in lung cancer M Han, EA Bushong, M Segawa, A Tiard, A Wong, MR Brady, ... Nature 615 (7953), 712-719, 2023 | 32 | 2023 |
| Not just streaks: Towards ground truth for single image deraining Y Ba, H Zhang, E Yang, A Suzuki, A Pfahnl, CC Chandrappa, CM de Melo, ... European Conference on Computer Vision, 723-740, 2022 | 31 | 2022 |
| Role of neuraminidase-producing bacteria in exposing cryptic carbohydrate receptors for Streptococcus gordonii adherence A Wong, MA Grau, AK Singh, SA Woodiga, SJ King Infection and immunity 86 (7), 10.1128/iai. 00068-18, 2018 | 27 | 2018 |
| Towards computer-aided severity assessment via deep neural networks for geographic and opacity extent scoring of SARS-CoV-2 chest X-rays A Wong, ZQ Lin, L Wang, AG Chung, B Shen, A Abbasi, ... Scientific reports 11 (1), 9315, 2021 | 25 | 2021 |
| Monitored distillation for positive congruent depth completion TY Liu, P Agrawal, A Chen, BW Hong, A Wong European Conference on Computer Vision, 35-53, 2022 | 24 | 2022 |
| Stereopagnosia: Fooling stereo networks with adversarial perturbations A Wong, M Mundhra, S Soatto Proceedings of the AAAI Conference on Artificial Intelligence 35 (4), 2879-2888, 2021 | 23 | 2021 |
| Comprehensive analysis on the effects of noise estimation strategies on image noise artifact suppression performance A Leigh, A Wong, DA Clausi, P Fieguth 2011 IEEE International Symposium on Multimedia, 97-104, 2011 | 22 | 2011 |
| Depth estimation from camera image and mmwave radar point cloud AD Singh, Y Ba, A Sarker, H Zhang, A Kadambi, S Soatto, M Srivastava, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 15 | 2023 |
Stefano SoattoProfessor of Computer Science, UCLA; VP, AWSVerified email at ucla.edu
