Paper Study List in 2018 Fall

26 Dec 2018

This page includes most related or interesting papers I has read since 2018 Fall semester.

  1. End-to-end learning of geometry and context for deep stereo regression. A. Kendall, el al., ICCV 2017.
  2. Pyramid Stereo Matching Network. Chang, Jia-Ren and Chen, Yong-Sheng, CVPR 2018. PyTorch Code.
  3. End-to-End Training of Hybrid CNN-CRF Models for Stereo. Patrick Knobelreiter et al., CVPR 2017. C++/CUDA Code
  4. Modeling Local and Global Deformations in Deep Learning: Epitomic Convolution, Multiple Instance Learning, and Sliding Window Detection. George Papandreou, et al., CVPR 2015.
  5. Unsupervised monocular depth estimation with left-right consistency. C.Godard et al. CVPR 2017. TensorFlow Code
  6. Segmentation-Aware Convolutional Networks Using Local Attention Masks. Adam W. Harley et al. ICCV 2017. Caffe Code
  7. Efficient inference in fully connected CRFs with Gaussian edge potentials. P. Krahenbuhl and V. Koltun. NIPS 2011, Project Page, including Code, supplementary material, slides and poster.
  8. Learning Sparse High Dimensional Filters: Image Filtering, Dense CRFs and Bilateral Neural Networks, Varun Jampani et al., CVPR 2016. Project Page, including Main Paper, Supplementary, Poster and Code