Follow
Ambrish Tyagi
Ambrish Tyagi
Director of AI @ Cruise
Verified email at getcruise.com
Title
Cited by
Cited by
Year
Dssd: Deconvolutional single shot detector
CY Fu, W Liu, A Ranga, A Tyagi, AC Berg
arXiv preprint arXiv:1701.06659, 2017
23672017
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
12992018
Dssd: Deconvolutional single shot detector. arXiv 2017
CY Fu, W Liu, A Ranga, A Tyagi, AC Berg
arXiv preprint arXiv:1701.06659, 2017
2032017
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
1782019
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
1242007
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
1192018
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
1142019
Dssd: Deconvolutional single shot detector. arXiv
CY Fu, W Liu, A Ranga, A Tyagi, AC Berg
arXiv preprint arXiv:1701.06659, 2017
1112017
Minimal-latency human action recognition using reliable-inference
JW Davis, A Tyagi
Image and Vision Computing 24 (5), 455-472, 2006
852006
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
822020
Kernel-based 3d tracking
A Tyagi, M Keck, JW Davis, G Potamianos
2007 IEEE Conference on Computer Vision and Pattern Recognition, 1-8, 2007
692007
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
602002
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
562021
Method and apparatus for projective volume monitoring
A Tyagi, J Drinkard, Y Tani, K Kinoshita
US Patent 9,501,692, 2016
552016
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
552008
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
292020
Steepest descent for efficient covariance tracking
A Tyagi, JW Davis, G Potamianos
2008 IEEE Workshop on Motion and video Computing, 1-6, 2008
292008
Video ingestion and clip creation
MA Townsend, E Oks, RMV Kumar, A Chaudhri, YN Rao, A Tyagi
US Patent 10,230,866, 2019
282019
CRAFT: Complementary Recommendation by Adversarial Feature Transform.
CP Huynh, A Ciptadi, A Tyagi, A Agrawal
ECCV Workshops (3), 54-66, 2018
282018
Automatic exposure control and illumination for head tracking
SV Mangiat, A Tyagi
US Patent 9,131,150, 2015
282015
The system can't perform the operation now. Try again later.
Articles 1–20