Papers
Multimodal Transfer: A Hierarchical Deep Convolutional Neural Network for Fast Artistic Style Transfer
Xin Wang, Geoffrey Oxholm, Da Zhang et al.
Annotating Object Instances With a Polygon-RNN
Lluis Castrejon, Kaustav Kundu, Raquel Urtasun et al.
Deep Watershed Transform for Instance Segmentation
Min Bai, Raquel Urtasun
Sports Field Localization via Deep Structured Models
Namdar Homayounfar, Sanja Fidler, Raquel Urtasun
The World of Fast Moving Objects
Denys Rozumnyi, Jan Kotera, Filip Sroubek et al.
DeepNav: Learning to Navigate Large Cities
Samarth Brahmbhatt, James Hays
Using Ranking-CNN for Age Estimation
Shixing Chen, Caojin Zhang, Ming Dong et al.
HPatches: A Benchmark and Evaluation of Handcrafted and Learned Local Descriptors
Vassileios Balntas, Karel Lenc, Andrea Vedaldi et al.
Regressing Robust and Discriminative 3D Morphable Models With a Very Deep Neural Network
Anh Tuan Tran, Tal Hassner, Iacopo Masi et al.
Learning to Learn From Noisy Web Videos
Serena Yeung, Vignesh Ramanathan, Olga Russakovsky et al.
Photorealistic Facial Texture Inference Using Deep Neural Networks
Shunsuke Saito, Lingyu Wei, Liwen Hu et al.
IM2CAD
Hamid Izadinia, Qi Shan, Steven M. Seitz
Identifying First-Person Camera Wearers in Third-Person Videos
Chenyou Fan, Jangwon Lee, Mingze Xu et al.
Geometric Deep Learning on Graphs and Manifolds Using Mixture Model CNNs
Federico Monti, Davide Boscaini, Jonathan Masci et al.
Building a Regular Decision Boundary With Deep Networks
Edouard Oyallon
Illuminant-Camera Communication to Observe Moving Objects Under Strong External Light by Spread Spectrum Modulation
Ryusuke Sagawa, Yutaka Satoh
Image Splicing Detection via Camera Response Function Analysis
Can Chen, Scott McCloskey, Jingyi Yu
Stacked Generative Adversarial Networks
Xun Huang, Yixuan Li, Omid Poursaeed et al.
Learning Barycentric Representations of 3D Shapes for Sketch-Based 3D Shape Retrieval
Jin Xie, Guoxian Dai, Fan Zhu et al.
Teaching Compositionality to CNNs
Austin Stone, Huayan Wang, Michael Stark et al.
A Wide-Field-Of-View Monocentric Light Field Camera
Donald G. Dansereau, Glenn Schuster, Joseph Ford et al.
DeMoN: Depth and Motion Network for Learning Monocular Stereo
Benjamin Ummenhofer, Huizhong Zhou, Jonas Uhrig et al.
Harmonic Networks: Deep Translation and Rotation Equivariance
Daniel E. Worrall, Stephan J. Garbin, Daniyar Turmukhambetov et al.
Deep Hashing Network for Unsupervised Domain Adaptation
Hemanth Venkateswara, Jose Eusebio, Shayok Chakraborty et al.
InstanceCut: From Edges to Instances With MultiCut
Alexander Kirillov, Evgeny Levinkov, Bjoern Andres et al.