Papers
Deep Learning Under Privileged Information Using Heteroscedastic Dropout
John Lambert, Ozan Sener, Silvio Savarese
Learning Deep Structured Active Contours End-to-End
Diego Marcos, Devis Tuia, Benjamin Kellenberger et al.
Detach and Adapt: Learning Cross-Domain Disentangled Deep Representation
Yen-Cheng Liu, Yu-Ying Yeh, Tzu-Chien Fu et al.
A Variational U-Net for Conditional Appearance and Shape Generation
Patrick Esser, Ekaterina Sutter, Björn Ommer
Interleaved Structured Sparse Convolutional Neural Networks
Guotian Xie, Jingdong Wang, Ting Zhang et al.
Deep Cross-Media Knowledge Transfer
Xin Huang, Yuxin Peng
Interpretable Convolutional Neural Networks
Quanshi Zhang, Ying Nian Wu, Song-Chun Zhu
BlockDrop: Dynamic Inference Paths in Residual Networks
Zuxuan Wu, Tushar Nagarajan, Abhishek Kumar et al.
Semi-Parametric Image Synthesis
Xiaojuan Qi, Qifeng Chen, Jiaya Jia et al.
High-Resolution Image Synthesis and Semantic Manipulation With Conditional GANs
Ting-Chun Wang, Ming-Yu Liu, Jun-Yan Zhu et al.
StarGAN: Unified Generative Adversarial Networks for Multi-Domain Image-to-Image Translation
Yunjey Choi, Minje Choi, Munyoung Kim et al.
Multimodal Explanations: Justifying Decisions and Pointing to the Evidence
Dong Huk Park, Lisa Anne Hendricks, Zeynep Akata et al.
The INaturalist Species Classification and Detection Dataset
Grant Van Horn, Oisin Mac Aodha, Yang Song et al.
Path Aggregation Network for Instance Segmentation
Shu Liu, Lu Qi, Haifang Qin et al.
A Neural Multi-Sequence Alignment TeCHnique (NeuMATCH)
Pelin Dogan, Boyang Li, Leonid Sigal et al.
End-to-End Dense Video Captioning With Masked Transformer
Luowei Zhou, Yingbo Zhou, Jason J. Corso et al.
Net2Vec: Quantifying and Explaining How Concepts Are Encoded by Filters in Deep Neural Networks
Ruth Fong, Andrea Vedaldi
Language-Based Image Editing With Recurrent Attentive Models
Jianbo Chen, Yelong Shen, Jianfeng Gao et al.
SBNet: Sparse Blocks Network for Fast Inference
Mengye Ren, Andrei Pokrovsky, Bin Yang et al.
Learning Transferable Architectures for Scalable Image Recognition
Barret Zoph, Vijay Vasudevan, Jonathon Shlens et al.
Iterative Learning With Open-Set Noisy Labels
Yisen Wang, Weiyang Liu, Xingjun Ma et al.
Context Embedding Networks
Kun Ho Kim, Oisin Mac Aodha, Pietro Perona
NestedNet: Learning Nested Sparse Structures in Deep Neural Networks
Eunwoo Kim, Chanho Ahn, Songhwai Oh
Learning Compositional Visual Concepts With Mutual Consistency
Yunye Gong, Srikrishna Karanam, Ziyan Wu et al.
Group Consistent Similarity Learning via Deep CRF for Person Re-Identification
Dapeng Chen, Dan Xu, Hongsheng Li et al.