Ambrish Tyagi

According to our database, Ambrish Tyagi authored at least 24 papers between 2002 and 2021.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2021

Multi-Hypothesis Pose Networks: Rethinking Top-Down Pose Estimation.

Rawal Khirodkar, Visesh Chari, Amit K. Agrawal, Ambrish Tyagi

CoRR, 2021

Multi-Instance Pose Networks: Rethinking Top-Down Pose Estimation.

Rawal Khirodkar, Visesh Chari, Amit Agrawal, Ambrish Tyagi

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020

PoseNet3D: Unsupervised 3D Human Shape and Pose Estimation.

Shashank Tripathi, Siddhant Ranade, Ambrish Tyagi, Amit Agrawal

CoRR, 2020

Box2Seg: Attention Weighted Loss and Discriminative Feature Learning for Weakly Supervised Segmentation.

Viveka Kulharia, Siddhartha Chandra, Amit Agrawal, Philip H. S. Torr, Ambrish Tyagi

Proceedings of the Computer Vision - ECCV 2020, 2020

PoseNet3D: Learning Temporally Consistent 3D Human Pose via Knowledge Distillation.

Shashank Tripathi, Siddhant Ranade, Ambrish Tyagi, Amit K. Agrawal

Proceedings of the 8th International Conference on 3D Vision, 2020

2019

Unsupervised 3D Pose Estimation with Geometric Self-Supervision.

Ching-Hang Chen, Ambrish Tyagi, Amit Agrawal, Dylan Drover, M. V. Rohith, Stefan Stojanov, James M. Rehg

CoRR, 2019

Learning to Generate Synthetic Data via Compositing.

Shashank Tripathi, Siddhartha Chandra, Amit Agrawal, Ambrish Tyagi, James M. Rehg, Visesh Chari

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Unsupervised 3D Pose Estimation With Geometric Self-Supervision.

Ching-Hang Chen, Ambrish Tyagi, Amit Agrawal, Dylan Drover, Rohith MV, Stefan Stojanov, James M. Rehg

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

CRAFT: Complementary Recommendations Using Adversarial Feature Transformer.

Cong Phuoc Huynh, Arri Ciptadi, Ambrish Tyagi, Amit Agrawal

CoRR, 2018

CRAFT: Complementary Recommendation by Adversarial Feature Transform.

Cong Phuoc Huynh, Arridhana Ciptadi, Ambrish Tyagi, Amit Agrawal

Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018

Can 3D Pose Be Learned from 2D Projections Alone?

Dylan Drover, M. V. Rohith, Ching-Hang Chen, Amit Agrawal, Ambrish Tyagi, Cong Phuoc Huynh

Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018

Context Encoding for Semantic Segmentation.

Hang Zhang, Kristin J. Dana, Jianping Shi, Zhongyue Zhang, Xiaogang Wang, Ambrish Tyagi, Amit Agrawal

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017

DSSD : Deconvolutional Single Shot Detector.

Cheng-Yang Fu, Wei Liu, Ananth Ranga, Ambrish Tyagi, Alexander C. Berg

CoRR, 2017

2015

Human Detection and Tracking.

James W. Davis, Vinay Sharma, Ambrish Tyagi, Mark A. Keck

Proceedings of the Encyclopedia of Biometrics, Second Edition, 2015

2009

Human Detection and Tracking.

James W. Davis, Vinay Sharma, Ambrish Tyagi, Mark A. Keck

Proceedings of the Encyclopedia of Biometrics, 2009

2008

A recursive filter for linear systems on Riemannian manifolds.

Ambrish Tyagi, James W. Davis

Proceedings of the 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), 2008

2007

The CHIL audiovisual corpus for lecture and meeting analysis inside smart rooms.

Djamel Mostefa, Nicolas Moreau, Khalid Choukri, Gerasimos Potamianos, Stephen M. Chu, Ambrish Tyagi, Josep R. Casas, Jordi Turmo, Luca Cristoforetti, Francesco Tobia, Aristodemos Pnevmatikakis, Vasileios Mylonakis, Fotios Talantzis, Susanne Burger, Rainer Stiefelhagen, Keni Bernardin, Cedrick Rochet

Lang. Resour. Evaluation, 2007

Kernel-Based 3D Tracking.

Ambrish Tyagi, Mark A. Keck, James W. Davis, Gerasimos Potamianos

Proceedings of the 2007 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2007), 2007

2006

Minimal-latency human action recognition using reliable-inference.

James W. Davis, Ambrish Tyagi

Image Vis. Comput., 2006

Multiview fusion for canonical view generation based on homography constraints.

Ambrish Tyagi, James W. Davis, Mark A. Keck

Proceedings of the 4th ACM International Workshop on Video Surveillance and Sensor Networks, 2006

Tracking mean shift clustered point clouds for 3D surveillance.

Mark A. Keck, James W. Davis, Ambrish Tyagi

Proceedings of the 4th ACM International Workshop on Video Surveillance and Sensor Networks, 2006

2003

Solving Hierarchical Optimization Problems Using MOEAs.

Christian Haubelt, Sanaz Mostaghim, Jürgen Teich, Ambrish Tyagi

Proceedings of the Evolutionary Multi-Criterion Optimization, 2003

A Reliable-Inference Framework for Recognition of Human Actions.

James W. Davis, Ambrish Tyagi

Proceedings of the 2003 IEEE Conference on Advanced Video and Signal Based Surveillance (AVSS 2003), 2003

2002

Comparison of data structures for storing Pareto-sets in MOEAs.

Sanaz Mostaghim, Jürgen Teich, Ambrish Tyagi

Proceedings of the 2002 Congress on Evolutionary Computation, 2002