| Back to basics: Unsupervised learning of optical flow via brightness constancy and motion smoothness JJ Yu, AW Harley, KG Derpanis Computer Vision–ECCV 2016 Workshops: Amsterdam, The Netherlands, October 8 …, 2016 | 411 | 2016 |
| Evaluation of deep convolutional nets for document image classification and retrieval AW Harley, A Ufkes, KG Derpanis 2015 13th International Conference on Document Analysis and Recognition …, 2015 | 307 | 2015 |
| An interactive node-link visualization of convolutional neural networks AW Harley Advances in Visual Computing: 11th International Symposium, ISVC 2015, Las …, 2015 | 159 | 2015 |
| Segmentation-aware convolutional networks using local attention masks AW Harley, KG Derpanis, I Kokkinos Proceedings of the IEEE International Conference on Computer Vision, 5038-5047, 2017 | 147 | 2017 |
| Adversarial inverse graphics networks: Learning 2d-to-3d lifting and image-to-image translation from unpaired supervision HYF Tung, AW Harley, W Seto, K Fragkiadaki 2017 IEEE International Conference on Computer Vision (ICCV), 4364-4372, 2017 | 143 | 2017 |
| Vr facial animation via multiview image translation SE Wei, J Saragih, T Simon, AW Harley, S Lombardi, M Perdoch, A Hypes, ... ACM Transactions on Graphics (TOG) 38 (4), 1-16, 2019 | 97 | 2019 |
| Reward learning from narrated demonstrations HY Tung, AW Harley, LK Huang, K Fragkiadaki Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 32 | 2018 |
| Learning dense convolutional embeddings for semantic segmentation AW Harley, KG Derpanis, I Kokkinos arXiv preprint arXiv:1511.04377, 2015 | 23 | 2015 |
| Learning from unlabelled videos using contrastive predictive neural 3d mapping AW Harley, SK Lakshmikanth, F Li, X Zhou, HYF Tung, K Fragkiadaki arXiv preprint arXiv:1906.03764, 2019 | 21* | 2019 |
| Embodied language grounding with 3d visual feature representations M Prabhudesai, HYF Tung, SA Javed, M Sieb, AW Harley, K Fragkiadaki Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 18 | 2020 |
| Adversarial inverse graphics networks: learning 2D-to-3D lifting and image-to-image translation from unpaired supervision HY Fish Tung, AW Harley, W Seto, K Fragkiadaki Proceedings of the IEEE International Conference on Computer Vision, 4354-4362, 2017 | 12 | 2017 |
| CoCoNets: Continuous contrastive 3D scene representations S Lal, M Prabhudesai, I Mediratta, AW Harley, K Fragkiadaki Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 11 | 2021 |
| Adversarial inversion: Inverse graphics with adversarial priors HYF Tung, A Harley, W Seto, K Fragkiadaki arXiv preprint arXiv:1705.11166 3, 2017 | 10 | 2017 |
| Move to see better: Self-improving embodied object detection Z Fang, A Jain, G Sarch, AW Harley, K Fragkiadaki arXiv preprint arXiv:2012.00057, 2020 | 9 | 2020 |
| Disentangling 3d prototypical networks for few-shot concept learning M Prabhudesai, S Lal, D Patil, HY Tung, AW Harley, K Fragkiadaki arXiv preprint arXiv:2011.03367, 2020 | 9 | 2020 |
| Tidee: Tidying up novel rooms using visuo-semantic commonsense priors G Sarch, Z Fang, AW Harley, P Schydlo, MJ Tarr, S Gupta, K Fragkiadaki Computer Vision–ECCV 2022: 17th European Conference, Tel Aviv, Israel …, 2022 | 8 | 2022 |
| A simple baseline for bev perception without lidar AW Harley, Z Fang, J Li, R Ambrus, K Fragkiadaki arXiv e-prints, arXiv: 2206.07959, 2022 | 8 | 2022 |
| Move to see better: Towards self-supervised amodal object detection Z Fang, A Jain, G Sarch, AW Harley, K Fragkiadaki arXiv preprint arXiv:2012.00057 3, 2020 | 7 | 2020 |
| Particle Video Revisited: Tracking Through Occlusions Using Point Trajectories AW Harley, Z Fang, K Fragkiadaki Computer Vision–ECCV 2022: 17th European Conference, Tel Aviv, Israel …, 2022 | 6 | 2022 |
| Tracking emerges by looking around static scenes, with neural 3d mapping AW Harley, SK Lakshmikanth, P Schydlo, K Fragkiadaki Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 6 | 2020 |
Katerina FragkiadakiAssistant Professor, Carnegie Mellon UniversityVerified email at cs.cmu.edu
