Papers
Image to Image Translation for Domain Adaptation
Zak Murez, Soheil Kolouri, David Kriegman et al.
VoxelNet: End-to-End Learning for Point Cloud Based 3D Object Detection
Yin Zhou, Oncel Tuzel
An Efficient and Provable Approach for Mixture Proportion Estimation Using Linear Independence Assumption
Xiyu Yu, Tongliang Liu, Mingming Gong et al.
PointNetVLAD: Deep Point Cloud Based Retrieval for Large-Scale Place Recognition
Mikaela Angelina Uy, Gim Hee Lee
Geometry Aware Constrained Optimization Techniques for Deep Learning
Soumava Kumar Roy, Zakaria Mhammedi, Mehrtash Harandi
View Extrapolation of Human Body From a Single Image
Hao Zhu, Hao Su, Peng Wang et al.
Geometric Robustness of Deep Networks: Analysis and Improvement
Can Kanbak, Seyed-Mohsen Moosavi-Dezfooli, Pascal Frossard
Learning Strict Identity Mappings in Deep Residual Networks
Xin Yu, Zhiding Yu, Srikumar Ramalingam
Generative Adversarial Perturbations
Omid Poursaeed, Isay Katsman, Bicheng Gao et al.
The Lovász-Softmax Loss: A Tractable Surrogate for the Optimization of the Intersection-Over-Union Measure in Neural Networks
Maxim Berman, Amal Rannen Triki, Matthew B. Blaschko
Deep Diffeomorphic Transformer Networks
Nicki Skafte Detlefsen, Oren Freifeld, Søren Hauberg
Conditional Probability Models for Deep Image Compression
Fabian Mentzer, Eirikur Agustsson, Michael Tschannen et al.
Improved Lossy Image Compression With Priming and Spatially Adaptive Bit Rates for Recurrent Networks
Nick Johnston, Damien Vincent, David Minnen et al.
Two-Step Quantization for Low-Bit Neural Networks
Peisong Wang, Qinghao Hu, Yifan Zhang et al.
Dynamic Few-Shot Visual Learning Without Forgetting
Spyros Gidaris, Nikos Komodakis
Learning to Localize Sound Source in Visual Scenes
Arda Senocak, Tae-Hyun Oh, Junsik Kim et al.
High-Order Tensor Regularization With Application to Attribute Ranking
Kwang In Kim, Juhyun Park, James Tompkin
Residual Parameter Transfer for Deep Domain Adaptation
Artem Rozantsev, Mathieu Salzmann, Pascal Fua
Coupled End-to-End Transfer Learning With Generalized Fisher Information
Shixing Chen, Caojin Zhang, Ming Dong
Deep Mutual Learning
Ying Zhang, Tao Xiang, Timothy M. Hospedales et al.
DS*: Tighter Lifting-Free Convex Relaxations for Quadratic Matching Problems
Florian Bernard, Christian Theobalt, Michael Moeller
SYQ: Learning Symmetric Quantization for Efficient Deep Neural Networks
Julian Faraone, Nicholas Fraser, Michaela Blott et al.
Partially Shared Multi-Task Convolutional Neural Network With Local Constraint for Face Attribute Learning
Jiajiong Cao, Yingming Li, Zhongfei Zhang
Generalized Zero-Shot Learning via Synthesized Examples
Vinay Kumar Verma, Gundeep Arora, Ashish Mishra et al.
Attentive Fashion Grammar Network for Fashion Landmark Detection and Clothing Category Classification
Wenguan Wang, Yuanlu Xu, Jianbing Shen et al.