Agastya Kalra

According to our database, Agastya Kalra authored at least 11 papers between 2017 and 2024.

Collaborative distances:

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

2024

Collision Avoidance Metric for 3D Camera Evaluation.

Vage Taamazyan, Alberto Dall'olio, Agastya Kalra

CoRR, 2024

A Plentoptic 3D Vision System.

Agastya Kalra, Vage Taamazyan, Alberto Dall'olio, Raghav Khanna, Tomas Gerlich, Georgia Giannopolou, Guy Stoppi, Daniel Baxter, Abhijit Ghosh, Rick Szeliski, Kartik Venkataraman

Proceedings of the SIGGRAPH Asia 2024 Conference Papers, 2024

Towards Co-Evaluation of Cameras, HDR, and Algorithms for Industrial-Grade 6DoF Pose Estimation.

Agastya Kalra, Guy Stoppi, Dmitrii Marin, Vage Taamazyan, Aarrushi Shandilya, Rishav Agarwal, Anton Boykov, Tze Hao Chong, Michael Stark

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2021

Towards Rotation Invariance in Object Detection.

Agastya Kalra, Guy Stoppi, Bradley Brown, Rishav Agarwal, Achuta Kadambi

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

2020

MatrixNets: A New Scale and Aspect Ratio Aware Architecture for Object Detection.

Abdullah Rashwan, Rishav Agarwal, Agastya Kalra, Pascal Poupart

CoRR, 2020

Deep Polarization Cues for Transparent Object Segmentation.

Agastya Kalra, Vage Taamazyan, Supreeth Krishna Rao, Kartik Venkataraman, Ramesh Raskar, Achuta Kadambi

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Photofeeler-D3: A Neural Network with Voter Modeling for Dating Photo Impression Prediction.

Agastya Kalra, Ben Peterson

CoRR, 2019

Matrix Nets: A New Deep Architecture for Object Detection.

Abdullah Rashwan, Agastya Kalra, Pascal Poupart

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

2018

An Empirical Study of Methods for SPN Learning and Inference.

Cory J. Butz, Jhonatan de S. Oliveira, André E. dos Santos, André L. Teixeira, Pascal Poupart, Agastya Kalra

Proceedings of the International Conference on Probabilistic Graphical Models, 2018

Online Structure Learning for Feed-Forward and Recurrent Sum-Product Networks.

Agastya Kalra, Abdullah Rashwan, Wei-Shou Hsu, Pascal Poupart, Prashant Doshi, Georgios Trimponias

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

2017

Online Structure Learning for Sum-Product Networks with Gaussian Leaves.

Wilson Hsu, Agastya Kalra, Pascal Poupart

Proceedings of the 5th International Conference on Learning Representations, 2017