| Efficient interactive annotation of segmentation datasets with polygon-rnn++ D Acuna, H Ling, A Kar, S Fidler CVPR 2018, 859-868, 2018 | 517 | 2018 |
| Fast interactive object annotation with curve-gcn H Ling, J Gao, A Kar, W Chen, S Fidler CVPR 2019, 5257-5266, 2019 | 315 | 2019 |
| Meta-sim: Learning to generate synthetic datasets A Kar, A Prakash, MY Liu, E Cameracci, J Yuan, M Rusiniak, D Acuna, ... ICCV 2019, 4551-4560, 2019 | 298 | 2019 |
| Devil is in the edges: Learning semantic boundaries from noisy annotations D Acuna, A Kar, S Fidler CVPR 2019, 11075-11083, 2019 | 194 | 2019 |
| Adascan: Adaptive scan pooling in deep convolutional neural networks for human action recognition in videos A Kar, N Rai, K Sikka, G Sharma CVPR 2017, 3376-3385, 2017 | 193 | 2017 |
| ATISS: Autoregressive Transformers for Indoor Scene Synthesis D Paschalidou, A Kar, M Shugrina, K Kreis, A Geiger, S Fidler NeurIPS 2021, 2021 | 130 | 2021 |
| Meta-Sim2: Unsupervised Learning of Scene Structure for Synthetic Data Generation J Devaranjan, A Kar, S Fidler ECCV 2020, 2020 | 111* | 2020 |
| Neural turtle graphics for modeling city road layouts H Chu, D Li, D Acuna, A Kar, M Shugrina, X Wei, MY Liu, A Torralba, ... ICCV 2019, 4522-4530, 2019 | 93 | 2019 |
| Object instance annotation with deep extreme level set evolution Z Wang, D Acuna, H Ling, A Kar, S Fidler CVPR 2019, 7500-7508, 2019 | 90 | 2019 |
| EPIC-KITCHENS VISOR Benchmark: VIdeo Segmentations and Object Relations A Darkhalil, D Shan, B Zhu, J Ma, A Kar, REL Higgins, S Fidler, D Fouhey, ... NeurIPS 2022, Datasets and Benchmarks, 2022 | 87 | 2022 |
| Learning to Evaluate Perception Models Using Planner-Centric Metrics J Philion, A Kar, S Fidler CVPR 2020, 14055-14064, 2020 | 82 | 2020 |
| Learning to generate synthetic datasets for training neural networks A Kar, A Prakash, MY Liu, DJA Marrero, AT Barriuso, S Fidler US Patent App. 16/685,795, 2020 | 48 | 2020 |
| Fed-Sim: Federated Simulation for Medical Imaging D Li, A Kar, N Ravikumar, AF Frangi, S Fidler MICCAI 2020, 2020 | 44* | 2020 |
| Towards Good Practices for Efficiently Annotating Large-Scale Image Classification Datasets YH Liao, A Kar, S Fidler CVPR 2021, 2021 | 36* | 2021 |
| Learning to caption images through a lifetime by asking questions K Shen, A Kar, S Fidler ICCV 2019, 10393-10402, 2019 | 35* | 2019 |
| Creative flow+ dataset M Shugrina, Z Liang, A Kar, J Li, A Singh, K Singh, S Fidler CVPR 2019, 5384-5393, 2019 | 29 | 2019 |
| Nonlinear color triads for approximation, learning and direct manipulation of color distributions M Shugrina, A Kar, S Fidler, K Singh SIGGRAPH 2020 39 (4), 97: 1-97: 13, 2020 | 28* | 2020 |
| Systems and methods for polygon object annotation and a method of training an object annotation system S Fidler, A Kar, H Ling, J Gao, W Chen, DJA Marrero US Patent 10,643,130, 2020 | 21 | 2020 |
| Interactive Annotation of 3D Object Geometry using 2D Scribbles T Shen, J Gao, A Kar, S Fidler ECCV 2020, 2020 | 14 | 2020 |
| Dreamteacher: Pretraining image backbones with deep generative models D Li, H Ling, A Kar, D Acuna, SW Kim, K Kreis, A Torralba, S Fidler Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 12 | 2023 |
Sanja FidlerUniversity of Toronto, NVIDIAEmail confirmado em cs.toronto.edu
