Comparison of data structures for storing Pareto-sets in MOEAs. - Sanaz Mostaghim; Jürgen Teich; Ambrish Tyagi (IEEE Congress on Evolutionary Computation, 2002)

A Reliable-Inference Framework for Recognition of Human Actions. - James W. Davis; Ambrish Tyagi (AVSS, 2003)

Solving Hierarchical Optimization Problems Using MOEAs. - Christian Haubelt; Sanaz Mostaghim; Jürgen Teich; Ambrish Tyagi (EMO, 2003)

Tracking mean shift clustered point clouds for 3D surveillance. - Mark A. Keck; James W. Davis; Ambrish Tyagi (VSSN@MM, 2006)

Multiview fusion for canonical view generation based on homography constraints. - Ambrish Tyagi; James W. Davis; Mark A. Keck (VSSN@MM, 2006)

Minimal-latency human action recognition using reliable-inference. - James W. Davis; Ambrish Tyagi (Image Vis. Comput., 2006)

Kernel-Based 3D Tracking. - Ambrish Tyagi; Mark A. Keck; James W. Davis; Gerasimos Potamianos (CVPR, 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; et al. (Lang. Resour. Evaluation, 2007)

A recursive filter for linear systems on Riemannian manifolds. - Ambrish Tyagi; James W. Davis (CVPR, 2008)

Human Detection and Tracking. - James W. Davis; Vinay Sharma; Ambrish Tyagi; Mark A. Keck (Encyclopedia of Biometrics, 2009)

Human Detection and Tracking. - James W. Davis; Vinay Sharma; Ambrish Tyagi; Mark A. Keck (Encyclopedia of Biometrics, 2015)

DSSD : Deconvolutional Single Shot Detector. - Cheng-Yang Fu; Wei Liu 015; Ananth Ranga; Ambrish Tyagi; Alexander C. Berg (CoRR, 2017)

Context Encoding for Semantic Segmentation. - Hang Zhang 005; Kristin J. Dana; Jianping Shi; Zhongyue Zhang; Xiaogang Wang 001; Ambrish Tyagi; Amit Agrawal 002 (CVPR, 2018)

Can 3D Pose Be Learned from 2D Projections Alone? - Dylan Drover; M. V. Rohith; Ching-Hang Chen; Amit Agrawal 002; Ambrish Tyagi; Cong Phuoc Huynh (ECCV Workshops (4), 2018)

CRAFT: Complementary Recommendation by Adversarial Feature Transform. - Cong Phuoc Huynh; Arridhana Ciptadi; Ambrish Tyagi; Amit Agrawal 002 (ECCV Workshops (3), 2018)

CRAFT: Complementary Recommendations Using Adversarial Feature Transformer. - Cong Phuoc Huynh; Arri Ciptadi; Ambrish Tyagi; Amit Agrawal 002 (CoRR, 2018)

Unsupervised 3D Pose Estimation With Geometric Self-Supervision. - Ching-Hang Chen; Ambrish Tyagi; Amit Agrawal 002; Dylan Drover; Rohith MV; Stefan Stojanov; James M. Rehg (CVPR, 2019)

Learning to Generate Synthetic Data via Compositing. - Shashank Tripathi; Siddhartha Chandra; Amit Agrawal 002; Ambrish Tyagi; James M. Rehg; Visesh Chari (CVPR, 2019)

Unsupervised 3D Pose Estimation with Geometric Self-Supervision. - Ching-Hang Chen; Ambrish Tyagi; Amit Agrawal 002; Dylan Drover; M. V. Rohith; Stefan Stojanov; James M. Rehg (CoRR, 2019)

PoseNet3D: Learning Temporally Consistent 3D Human Pose via Knowledge Distillation. - Shashank Tripathi; Siddhant Ranade; Ambrish Tyagi; Amit K. Agrawal (3DV, 2020)

Box2Seg: Attention Weighted Loss and Discriminative Feature Learning for Weakly Supervised Segmentation. - Viveka Kulharia; Siddhartha Chandra; Amit Agrawal 002; Philip H. S. Torr; Ambrish Tyagi (ECCV (27), 2020)

PoseNet3D: Unsupervised 3D Human Shape and Pose Estimation. - Shashank Tripathi; Siddhant Ranade; Ambrish Tyagi; Amit Agrawal 002 (CoRR, 2020)

Multi-Instance Pose Networks: Rethinking Top-Down Pose Estimation. - Rawal Khirodkar; Visesh Chari; Amit Agrawal 002; Ambrish Tyagi (ICCV, 2021)

Multi-Hypothesis Pose Networks: Rethinking Top-Down Pose Estimation. - Rawal Khirodkar; Visesh Chari; Amit K. Agrawal; Ambrish Tyagi (CoRR, 2021)

GenMM: Geometrically and Temporally Consistent Multimodal Data Generation for Video and LiDAR. - Bharat Singh; Viveka Kulharia; Luyu Yang; Avinash Ravichandran; Ambrish Tyagi; Ashish Shrivastava 001 (CoRR, 2024)