4. u “SfMLearner++: Learning Monocular Depth & Ego-Motion using
Meaningful Geometric Constraints”
u Vignesh Prasad, Brojeshwar Bhowmick.
u TCS Innovation Labs Tata Consultancy Services
u arXiv 20/Dec/2018. https://arxiv.org/pdf/1812.08370.pdf
u WACV 2019 Accepted
u
u Depth
u Unsupervised
45. u [Prasad, 2018] “SfMLearner++: Learning Monocular Depth & Ego-Motion using Meaningful Geometric
Constraints”, Vignesh Prasad* Brojeshwar Bhowmick.
u [Tinghui 2017] “Unsupervised Learning of Depth and Ego-Motion from Video”, Tinghui Zhou, Matthew Brown,
Noah Snavely, David G. Lowe.
u [SfM-Net2017] “Learning of Structure and Motion from Video”, Sudheendra Vijayanarasimhan, Susanna Ricco,
Cordelia Schmid, Rahul Sukthankar, Katerina Fragkiadaki.
u [Zhichao 2018] “GeoNet: Unsupervised Learning of Dense Depth, Optical Flow and Camera Pose”, Zhichao
Yin and Jianping Shi.
u [Chen-Hsuan 2016] “Inverse Compositional Spatial Transformer Networks”, Chen-Hsuan Lin Simon Lucey.
u [Wang et al, 2017] “Learning Depth from Monocular Videos using Direct Methods”, Chaoyang Wang, Jose
Miguel Buenaposada, Rui Zhu, Simon Lucey.
u [Steinbrucker et al, 2011] “Real-Time Visual Odometry from Dense RGB-D Images”, Frank Steinbrücker
Jürgen Sturm Daniel Cremers.
u [Engelhard et al, 2014] “A Benchmark for the Evaluation of RGB-D SLAM Systems Jurgen Sturm, Nikolas
Engelhard”, Felix Endres, Wolfram Burgard, and Daniel Cremers.
u [Mahjourian et al, 2018] “Unsupervised learning of depth and ego-motion from monocular video using 3d
geometric constraints”, R. Mahjourian, M. Wicke, and A. Angelova.