Amit Agrawal

According to our database, Amit Agrawal authored at least 12 papers between 2018 and 2022.

Collaborative distances:

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

2022

Sequential Ensembling for Semantic Segmentation.

Rawal Khirodkar, Brandon M. Smith, Siddhartha Chandra, Amit Agrawal, Antonio Criminisi

CoRR, 2022

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

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

Towards Accurate 3D Human Body Reconstruction from Silhouettes.

Brandon M. Smith, Visesh Chari, Amit Agrawal, James M. Rehg, Ram Sever

Proceedings of the 2019 International Conference on 3D Vision, 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