Papers
Image Collection Pop-Up: 3D Reconstruction and Clustering of Rigid and Non-Rigid Categories
Antonio Agudo, Melcior Pijoan, Francesc Moreno-Noguer
FeaStNet: Feature-Steered Graph Convolutions for 3D Shape Analysis
Nitika Verma, Edmond Boyer, Jakob Verbeek
Deep Parametric Continuous Convolutional Neural Networks
Shenlong Wang, Simon Suo, Wei-Chiu Ma et al.
PlaneNet: Piece-Wise Planar Reconstruction From a Single RGB Image
Chen Liu, Jimei Yang, Duygu Ceylan et al.
SGPN: Similarity Group Proposal Network for 3D Point Cloud Instance Segmentation
Weiyue Wang, Ronald Yu, Qiangui Huang et al.
CodeSLAM — Learning a Compact, Optimisable Representation for Dense Visual SLAM
Michael Bloesch, Jan Czarnowski, Ronald Clark et al.
Self-Supervised Multi-Level Face Model Learning for Monocular Reconstruction at Over 250 Hz
Ayush Tewari, Michael Zollhöfer, Pablo Garrido et al.
Surface Networks
Ilya Kostrikov, Zhongshi Jiang, Daniele Panozzo et al.
SPLATNet: Sparse Lattice Networks for Point Cloud Processing
Hang Su, Varun Jampani, Deqing Sun et al.
Dynamic Scene Deblurring Using Spatially Variant Recurrent Neural Networks
Jiawei Zhang, Jinshan Pan, Jimmy Ren et al.
Unsupervised Sparse Dirichlet-Net for Hyperspectral Image Super-Resolution
Ying Qu, Hairong Qi, Chiman Kwan
Burst Denoising With Kernel Prediction Networks
Ben Mildenhall, Jonathan T. Barron, Jiawen Chen et al.
FSRNet: End-to-End Learning Face Super-Resolution With Facial Priors
Yu Chen, Ying Tai, Xiaoming Liu et al.
Attentive Generative Adversarial Network for Raindrop Removal From a Single Image
Rui Qian, Robby T. Tan, Wenhan Yang et al.
Residual Dense Network for Image Super-Resolution
Yulun Zhang, Yapeng Tian, Yu Kong et al.
Distributable Consistent Multi-Object Matching
Nan Hu, Qixing Huang, Boris Thibert et al.
Deformation Aware Image Compression
Tamar Rott Shaham, Tomer Michaeli
Crafting a Toolchain for Image Restoration by Deep Reinforcement Learning
Ke Yu, Chao Dong, Liang Lin et al.
xUnit: Learning a Spatial Activation Function for Efficient Image Restoration
Idan Kligvasser, Tamar Rott Shaham, Tomer Michaeli
Practical Block-Wise Neural Network Architecture Generation
Zhao Zhong, Junjie Yan, Wei Wu et al.
Convolutional Neural Networks With Alternately Updated Clique
Yibo Yang, Zhisheng Zhong, Tiancheng Shen et al.
Deep Layer Aggregation
Fisher Yu, Dequan Wang, Evan Shelhamer et al.
Context Contrasted Feature and Gated Multi-Scale Aggregation for Scene Segmentation
Henghui Ding, Xudong Jiang, Bing Shuai et al.
A Weighted Sparse Sampling and Smoothing Frame Transition Approach for Semantic Fast-Forward First-Person Videos
Michel Silva, Washington Ramos, João Ferreira et al.
Document Enhancement Using Visibility Detection
Netanel Kligler, Sagi Katz, Ayellet Tal