Agastya Kalra

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 12

Top Topics

Scale Invariance

Conditional Independence

Structure Learning

Top Venues

ICLR (Workshop)

Publications

Vage Taamazyan, Alberto Dall'olio, Agastya Kalra
Collision Avoidance Metric for 3D Camera Evaluation. CoRR (2024)
Agastya Kalra, Guy Stoppi, Bradley Brown, Rishav Agarwal, Achuta Kadambi
Towards Rotation Invariance in Object Detection. CoRR (2021)
Agastya Kalra, Guy Stoppi, Bradley Brown, Rishav Agarwal, Achuta Kadambi
Towards Rotation Invariance in Object Detection. ICCV (2021)
Agastya Kalra, Vage Taamazyan, Supreeth Krishna Rao, Kartik Venkataraman, Ramesh Raskar, Achuta Kadambi
Deep Polarization Cues for Transparent Object Segmentation. CVPR (2020)
Abdullah Rashwan, Rishav Agarwal, Agastya Kalra, Pascal Poupart
MatrixNets: A New Scale and Aspect Ratio Aware Architecture for Object Detection. CoRR (2020)
Abdullah Rashwan, Agastya Kalra, Pascal Poupart
Matrix Nets: A New Deep Architecture for Object Detection. ICCV Workshops (2019)
Abdullah Rashwan, Agastya Kalra, Pascal Poupart
Matrix Nets: A New Deep Architecture for Object Detection. CoRR (2019)
Agastya Kalra, Ben Peterson
Photofeeler-D3: A Neural Network with Voter Modeling for Dating Photo Impression Prediction. CoRR (2019)
Agastya Kalra, Abdullah Rashwan, Wei-Shou Hsu, Pascal Poupart, Prashant Doshi, Georgios Trimponias
Online Structure Learning for Feed-Forward and Recurrent Sum-Product Networks. NeurIPS (2018)
Cory J. Butz, Jhonatan de S. Oliveira, André E. dos Santos, André L. Teixeira, Pascal Poupart, Agastya Kalra
An Empirical Study of Methods for SPN Learning and Inference. PGM (2018)
Wilson Hsu, Agastya Kalra, Pascal Poupart
Online Structure Learning for Sum-Product Networks with Gaussian Leaves. CoRR (2017)
Wilson Hsu, Agastya Kalra, Pascal Poupart
Online Structure Learning for Sum-Product Networks with Gaussian Leaves. ICLR (Workshop) (2017)