Online Structure Learning for Sum-Product Networks with Gaussian Leaves. - Wilson Hsu; Agastya Kalra; Pascal Poupart (ICLR (Workshop), 2017)

Online Structure Learning for Feed-Forward and Recurrent Sum-Product Networks. - Agastya Kalra; Abdullah Rashwan; Wei-Shou Hsu; Pascal Poupart; Prashant Doshi; Georgios Trimponias (NeurIPS, 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 (PGM, 2018)

Matrix Nets: A New Deep Architecture for Object Detection. - Abdullah Rashwan; Agastya Kalra; Pascal Poupart (ICCV Workshops, 2019)

Photofeeler-D3: A Neural Network with Voter Modeling for Dating Photo Impression Prediction. - Agastya Kalra; Ben Peterson (CoRR, 2019)

Deep Polarization Cues for Transparent Object Segmentation. - Agastya Kalra; Vage Taamazyan; Supreeth Krishna Rao; Kartik Venkataraman; Ramesh Raskar; Achuta Kadambi (CVPR, 2020)

MatrixNets: A New Scale and Aspect Ratio Aware Architecture for Object Detection. - Abdullah Rashwan; Rishav Agarwal; Agastya Kalra; Pascal Poupart (CoRR, 2020)

Towards Rotation Invariance in Object Detection. - Agastya Kalra; Guy Stoppi; Bradley Brown; Rishav Agarwal; Achuta Kadambi (ICCV, 2021)

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 003 (CVPR, 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; Richard Szeliski; Kartik Venkataraman (SIGGRAPH Asia, 2024)

Collision Avoidance Metric for 3D Camera Evaluation. - Vage Taamazyan; Alberto Dall'olio; Agastya Kalra (CoRR, 2024)