| Dssd: Deconvolutional single shot detector CY Fu, W Liu, A Ranga, A Tyagi, AC Berg arXiv preprint arXiv:1701.06659, 2017 | 2370 | 2017 |
| Context encoding for semantic segmentation H Zhang, K Dana, J Shi, Z Zhang, X Wang, A Tyagi, A Agrawal Proceedings of the IEEE conference on Computer Vision and Pattern …, 2018 | 1302 | 2018 |
| Dssd: Deconvolutional single shot detector. arXiv 2017 CY Fu, W Liu, A Ranga, A Tyagi, AC Berg arXiv preprint arXiv:1701.06659, 2017 | 203 | 2017 |
| Unsupervised 3d pose estimation with geometric self-supervision CH Chen, A Tyagi, A Agrawal, D Drover, R Mv, S Stojanov, JM Rehg Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 179 | 2019 |
| The CHIL audiovisual corpus for lecture and meeting analysis inside smart rooms D Mostefa, N Moreau, K Choukri, G Potamianos, SM Chu, A Tyagi, ... Language resources and evaluation 41, 389-407, 2007 | 124 | 2007 |
| Can 3d pose be learned from 2d projections alone? D Drover, R MV, CH Chen, A Agrawal, A Tyagi, C Phuoc Huynh Proceedings of the European Conference on Computer Vision (ECCV) Workshops, 0-0, 2018 | 119 | 2018 |
| Learning to generate synthetic data via compositing S Tripathi, S Chandra, A Agrawal, A Tyagi, JM Rehg, V Chari Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 114 | 2019 |
| Dssd: Deconvolutional single shot detector. arXiv CY Fu, W Liu, A Ranga, A Tyagi, AC Berg arXiv preprint arXiv:1701.06659, 2017 | 111 | 2017 |
| Minimal-latency human action recognition using reliable-inference JW Davis, A Tyagi Image and Vision Computing 24 (5), 455-472, 2006 | 85 | 2006 |
| Box2seg: Attention weighted loss and discriminative feature learning for weakly supervised segmentation V Kulharia, S Chandra, A Agrawal, P Torr, A Tyagi European Conference on Computer Vision, 290-308, 2020 | 82 | 2020 |
| Kernel-based 3d tracking A Tyagi, M Keck, JW Davis, G Potamianos 2007 IEEE Conference on Computer Vision and Pattern Recognition, 1-8, 2007 | 69 | 2007 |
| Comparison of data structures for storing Pareto-sets in MOEAs S Mostaghim, J Teich, A Tyagi Proceedings of the 2002 Congress on Evolutionary Computation. CEC'02 (Cat …, 2002 | 60 | 2002 |
| Multi-instance pose networks: Rethinking top-down pose estimation R Khirodkar, V Chari, A Agrawal, A Tyagi Proceedings of the IEEE/CVF International conference on computer vision …, 2021 | 57 | 2021 |
| Method and apparatus for projective volume monitoring A Tyagi, J Drinkard, Y Tani, K Kinoshita US Patent 9,501,692, 2016 | 55 | 2016 |
| A recursive filter for linear systems on Riemannian manifolds A Tyagi, JW Davis 2008 IEEE Conference on Computer Vision and Pattern Recognition, 1-8, 2008 | 55 | 2008 |
| Posenet3d: Learning temporally consistent 3d human pose via knowledge distillation S Tripathi, S Ranade, A Tyagi, A Agrawal 2020 International Conference on 3D Vision (3DV), 311-321, 2020 | 29 | 2020 |
| Video ingestion and clip creation MA Townsend, E Oks, RMV Kumar, A Chaudhri, YN Rao, A Tyagi US Patent 10,230,866, 2019 | 29 | 2019 |
| Steepest descent for efficient covariance tracking A Tyagi, JW Davis, G Potamianos 2008 IEEE Workshop on Motion and video Computing, 1-6, 2008 | 29 | 2008 |
| CRAFT: Complementary Recommendation by Adversarial Feature Transform. CP Huynh, A Ciptadi, A Tyagi, A Agrawal ECCV Workshops (3), 54-66, 2018 | 28 | 2018 |
| Automatic exposure control and illumination for head tracking SV Mangiat, A Tyagi US Patent 9,131,150, 2015 | 28 | 2015 |
Amit AgrawalAmazon在 lab126.com 的电子邮件经过验证
