Chamara Saroj Weerasekera

According to our database, Chamara Saroj Weerasekera authored at least 9 papers between 2017 and 2021.

Collaborative distances:

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

2021

DF-VO: What Should Be Learnt for Visual Odometry?

Huangying Zhan, Chamara Saroj Weerasekera, Jia-Wang Bian, Ravi Garg, Ian D. Reid

CoRR, 2021

2020

Visual Odometry Revisited: What Should Be Learnt?

Huangying Zhan, Chamara Saroj Weerasekera, Jia-Wang Bian, Ian Reid

Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

2019

Self-supervised Learning for Single View Depth and Surface Normal Estimation.

Huangying Zhan, Chamara Saroj Weerasekera, Ravi Garg, Ian D. Reid

Proceedings of the International Conference on Robotics and Automation, 2019

Camera Relocalization by Exploiting Multi-View Constraints for Scene Coordinates Regression.

Ming Cai, Huangying Zhan, Chamara Saroj Weerasekera, Kejie Li, Ian Reid

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

2018

Just-in-Time Reconstruction: Inpainting Sparse Maps Using Single View Depth Predictors as Priors.

Chamara Saroj Weerasekera, Thanuja Dharmasiri, Ravi Garg, Tom Drummond, Ian D. Reid

Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

Unsupervised Learning of Monocular Depth Estimation and Visual Odometry With Deep Feature Reconstruction.

Huangying Zhan, Ravi Garg, Chamara Saroj Weerasekera, Kejie Li, Harsh Agarwal, Ian D. Reid

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Learning Deeply Supervised Good Features to Match for Dense Monocular Reconstruction.

Chamara Saroj Weerasekera, Ravi Garg, Yasir Latif, Ian D. Reid

Proceedings of the Computer Vision - ACCV 2018, 2018

2017

Learning Deeply Supervised Visual Descriptors for Dense Monocular Reconstruction.

Chamara Saroj Weerasekera, Ravi Garg, Ian D. Reid

CoRR, 2017

Dense monocular reconstruction using surface normals.

Chamara Saroj Weerasekera, Yasir Latif, Ravi Garg, Ian D. Reid

Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017