Papers
Improvements to Context Based Self-Supervised Learning
T. Nathan Mundhenk, Daniel Ho, Barry Y. Chen
Wide Compression: Tensor Ring Nets
Wenqi Wang, Yifan Sun, Brian Eriksson et al.
Guided Proofreading of Automatic Segmentations for Connectomics
Daniel Haehn, Verena Kaynig, James Tompkin et al.
Weakly Supervised Learning of Single-Cell Feature Embeddings
Juan C. Caicedo, Claire McQuin, Allen Goodman et al.
3D Registration of Curves and Surfaces Using Local Differential Information
Carolina Raposo, João P. Barreto
Anatomical Priors in Convolutional Networks for Unsupervised Biomedical Segmentation
Adrian V. Dalca, John Guttag, Mert R. Sabuncu
CNN Driven Sparse Multi-Level B-Spline Image Registration
Pingge Jiang, James A. Shackleford
Learning Distributions of Shape Trajectories From Longitudinal Datasets: A Hierarchical Model on a Manifold of Diffeomorphisms
Alexandre Bône, Olivier Colliot, Stanley Durrleman
An Unsupervised Learning Model for Deformable Medical Image Registration
Guha Balakrishnan, Amy Zhao, Mert R. Sabuncu et al.
Translating and Segmenting Multimodal Medical Volumes With Cycle- and Shape-Consistency Generative Adversarial Network
Zizhao Zhang, Lin Yang, Yefeng Zheng
TOM-Net: Learning Transparent Object Matting From a Single Image
Guanying Chen, Kai Han, Kwan-Yee K. Wong
3D Semantic Segmentation With Submanifold Sparse Convolutional Networks
Benjamin Graham, Martin Engelcke, Laurens van der Maaten
Tell Me Where to Look: Guided Attention Inference Network
Kunpeng Li, Ziyan Wu, Kuan-Chuan Peng et al.
PointGrid: A Deep Network for 3D Shape Understanding
Truc Le, Ye Duan
NISP: Pruning Networks Using Neuron Importance Score Propagation
Ruichi Yu, Ang Li, Chun-Fu Chen et al.
Boosting Adversarial Attacks With Momentum
Yinpeng Dong, Fangzhou Liao, Tianyu Pang et al.
Learning Intelligent Dialogs for Bounding Box Annotation
Ksenia Konyushkova, Jasper Uijlings, Christoph H. Lampert et al.
Manifold Learning in Quotient Spaces
Éloi Mehr, André Lieutier, Fernando Sanchez Bermudez et al.
Learning Generative ConvNets via Multi-Grid Modeling and Sampling
Ruiqi Gao, Yang Lu, Junpei Zhou et al.
Light Field Intrinsics With a Deep Encoder-Decoder Network
Anna Alperovich, Ole Johannsen, Michael Strecke et al.
Sketch-a-Classifier: Sketch-Based Photo Classifier Generation
Conghui Hu, Da Li, Yi-Zhe Song et al.
Shift: A Zero FLOP, Zero Parameter Alternative to Spatial Convolutions
Bichen Wu, Alvin Wan, Xiangyu Yue et al.
Rethinking Feature Distribution for Loss Functions in Image Classification
Weitao Wan, Yuanyi Zhong, Tianpeng Li et al.
Detail-Preserving Pooling in Deep Networks
Faraz Saeedan, Nicolas Weber, Michael Goesele et al.