Chamara Saroj Weerasekera

St. James's Hospital — Ireland

Computer Science · Physical Sciences

11h-index1.1kcitations17works0.02yr avg
OpenAlex↗Google Scholar↗Lab page↗

Accepting Students?

No reports yet. Know if this professor is taking students?

Research Topics

Advanced Vision and Imaging(14), Robotics and Sensor-Based Localization(12), Optical measurement and interference techniques(7), Advanced Image and Video Retrieval Techniques(4), Image Processing Techniques and Applications(3)

Publications16 total

DF-VO: What Should Be Learnt for Visual Odometry?
arXiv (Cornell University)·2021· 26 citedOpen Access
Visual Odometry Revisited: What Should Be Learnt?
2020· 176 cited
Camera Relocalization by Exploiting Multi-View Constraints for Scene Coordinates Regression
2019· 12 cited
Visual Odometry Revisited: What Should Be Learnt?
arXiv (Cornell University)·2019· 11 citedOpen Access
Self-supervised Learning for Single View Depth and Surface Normal Estimation
2019· 32 cited
Self-supervised Learning for Single View Depth and Surface Normal Estimation
arXiv (Cornell University)·2019· 7 citedOpen Access
Learning Deeply Supervised Good Features to Match for Dense Monocular Reconstruction
Lecture notes in computer science·2019· 4 cited
Unsupervised Learning of Monocular Depth Estimation and Visual Odometry with Deep Feature Reconstruction
2018· 686 cited
Just-in-Time Reconstruction: Inpainting Sparse Maps Using Single View Depth Predictors as Priors
2018· 33 citedOpen Access
Unsupervised Learning of Monocular Depth Estimation and Visual Odometry with Deep Feature Reconstruction
arXiv (Cornell University)·2018· 85 citedOpen Access
Deeply Learned Priors for Geometric Reconstruction
Adelaide Research & Scholarship (AR&S) (University of Adelaide)·2018Open Access
Learning Deeply Supervised Good Features to Match for Dense Monocular Reconstruction
arXiv (Cornell University)·2017Open Access
Learning Deeply Supervised Visual Descriptors for Dense Monocular Reconstruction.
arXiv (Cornell University)·2017· 3 citedOpen Access
Learning Deeply Supervised Good Features to Match for Dense Monocular\n Reconstruction
arXiv (Cornell University)·2017Open Access
Dense monocular reconstruction using surface normals
2017· 26 cited
Robust ASL Fingerspelling Recognition Using Local Binary Patterns and Geometric Features
2013· 13 cited

Frequent Co-authors

Ian Reid(14), Ravi Garg(11), Huangying Zhan(8), Yasir Latif(4), Kejie Li(3), Jia-Wang Bian(3), Harsh Agarwal(1), Harsh Agarwal(1), Thanuja Dharmasiri(1), Tom Drummond(1), Mohamed Hisham Jaward(1), Nader Kamrani(1), Ming Cai(1)