Inverse Compositional Spatial Transformer Networks

12 December 2016

Papers citing "Inverse Compositional Spatial Transformer Networks"

24 / 24 papers shown

Title
Tilt your Head: Activating the Hidden Spatial-Invariance of Classifiers Johann Schmidt Sebastian Stober 43 1 0 06 May 2024
Entropy Transformer Networks: A Learning Approach via Tangent Bundle Data Manifold Pourya Shamsolmoali Masoumeh Zareapoor 25 1 0 24 Jul 2023
Spatial Transformation for Image Composition via Correspondence Learning Bo Zhang Yue Liu K. Lu Li Niu Liqing Zhang 28 3 0 06 Jul 2022
Perspective Transformation Layer Nishant Khatri Agnibh Dasgupta Yucong Shen Xinru Zhong F. Shih 20 3 0 14 Jan 2022
GAN-Supervised Dense Visual Alignment William S. Peebles Jun-Yan Zhu Richard Y. Zhang Antonio Torralba Alexei A. Efros Eli Shechtman 19 67 0 09 Dec 2021
Scale-invariant scale-channel networks: Deep networks that generalise to previously unseen scales Ylva Jansson T. Lindeberg 11 23 0 11 Jun 2021
Context-aware Attentional Pooling (CAP) for Fine-grained Visual Classification Ardhendu Behera Zachary Wharton Pradeep Ruwan Padmasiri Galbokka Hewage Asish Bera 59 108 0 17 Jan 2021
Balanced Alignment for Face Recognition: A Joint Learning Approach Huawei Wei Peng Lu Yichen Wei CVBM 14 4 0 23 Mar 2020
Deep Image Spatial Transformation for Person Image Generation Yurui Ren Xiaoming Yu Junming Chen Thomas H. Li Ge Li 3DH 3DPC 11 175 0 02 Mar 2020
Provably scale-covariant continuous hierarchical networks based on scale-normalized differential expressions coupled in cascade T. Lindeberg 19 19 0 29 May 2019
Transformable Bottleneck Networks Kyle Olszewski Sergey Tulyakov Oliver J. Woodford Hao Li Linjie Luo 21 77 0 13 Apr 2019
Generalized Feedback Loop for Joint Hand-Object Pose Estimation Markus Oberweger Paul Wohlhart Vincent Lepetit 3DH 13 72 0 25 Mar 2019
Photometric Mesh Optimization for Video-Aligned 3D Object Reconstruction Chen-Hsuan Lin Oliver Wang Bryan C. Russell Eli Shechtman Vladimir G. Kim Matthew Fisher Simon Lucey 16 66 0 20 Mar 2019
Equivariant Transformer Networks Kai Sheng Tai Peter Bailis Gregory Valiant ViT 11 68 0 25 Jan 2019
Taking a Deeper Look at the Inverse Compositional Algorithm Zhaoyang Lv F. Dellaert James M. Rehg Andreas Geiger 3DV 6 48 0 17 Dec 2018
LS-Net: Learning to Solve Nonlinear Least Squares for Monocular Stereo R. Clark Michael Bloesch J. Czarnowski Stefan Leutenegger Andrew J. Davison 4 80 0 09 Sep 2018
Automatically Composing Representation Transformations as a Means for Generalization Michael Chang Abhishek Gupta Sergey Levine Thomas L. Griffiths 11 68 0 12 Jul 2018
PARN: Pyramidal Affine Regression Networks for Dense Semantic Correspondence Sangryul Jeon Seungryong Kim Dongbo Min K. Sohn 15 62 0 09 Jul 2018
DeepIM: Deep Iterative Matching for 6D Pose Estimation Yi Li Gu Wang Xiangyang Ji Yu Xiang D. Fox 3DH 3DPC 27 697 0 31 Mar 2018
Deep Component Analysis via Alternating Direction Neural Networks Calvin Murdock Ming-Fang Chang Simon Lucey BDL 19 20 0 16 Mar 2018
ST-GAN: Spatial Transformer Generative Adversarial Networks for Image Compositing Chen-Hsuan Lin Ersin Yumer Oliver Wang Eli Shechtman Simon Lucey GAN 33 222 0 05 Mar 2018
Learning Depth from Monocular Videos using Direct Methods Chaoyang Wang J. M. Buenaposada Rui Zhu Simon Lucey MDE 11 578 0 01 Dec 2017
Learning Efficient Point Cloud Generation for Dense 3D Object Reconstruction Chen-Hsuan Lin Chen Kong Simon Lucey 3DV 27 421 0 21 Jun 2017
Deformable Convolutional Networks Jifeng Dai Haozhi Qi Yuwen Xiong Yi Li Guodong Zhang Han Hu Yichen Wei 30 5,250 0 17 Mar 2017