Papers
Seeing Motion in the Dark
Chen Chen, Qifeng Chen, Minh N. Do et al.
Bottleneck Potentials in Markov Random Fields
Ahmed Abbas, Paul Swoboda
Noise Flow: Noise Modeling With Conditional Normalizing Flows
Abdelrahman Abdelhamed, Marcus A. Brubaker, Michael S. Brown
Real Image Denoising With Feature Attention
Saeed Anwar, Nick Barnes
Variable Rate Deep Image Compression With a Conditional Autoencoder
Yoojin Choi, Mostafa El-Khamy, Jungwon Lee
DSIC: Deep Stereo Image Compression
Jerry Liu, Shenlong Wang, Raquel Urtasun
Dynamic PET Image Reconstruction Using Nonnegative Matrix Factorization Incorporated With Deep Image Prior
Tatsuya Yokota, Kazuya Kawai, Muneyuki Sakata et al.
Deep SR-ITM: Joint Learning of Super-Resolution and Inverse Tone-Mapping for 4K UHD HDR Applications
Soo Ye Kim, Jihyong Oh, Munchurl Kim
Progressive Fusion Video Super-Resolution Network via Exploiting Non-Local Spatio-Temporal Correlations
Peng Yi, Zhongyuan Wang, Kui Jiang et al.
RankSRGAN: Generative Adversarial Networks With Ranker for Image Super-Resolution
Wenlong Zhang, Yihao Liu, Chao Dong et al.
Toward Real-World Single Image Super-Resolution: A New Benchmark and a New Model
Jianrui Cai, Hui Zeng, Hongwei Yong et al.
Wavelet Domain Style Transfer for an Effective Perception-Distortion Tradeoff in Single Image Super-Resolution
Xin Deng, Ren Yang, Mai Xu et al.
Fashion Retrieval via Graph Reasoning Networks on a Similarity Pyramid
Zhanghui Kuang, Yiming Gao, Guanbin Li et al.
Learning Combinatorial Embedding Networks for Deep Graph Matching
Runzhong Wang, Junchi Yan, Xiaokang Yang
Siamese Networks: The Tale of Two Manifolds
Soumava Kumar Roy, Mehrtash Harandi, Richard Nock et al.
Unsupervised Neural Quantization for Compressed-Domain Similarity Search
Stanislav Morozov, Artem Babenko
Deep Joint-Semantics Reconstructing Hashing for Large-Scale Unsupervised Cross-Modal Retrieval
Shupeng Su, Zhisheng Zhong, Chao Zhang
AFD-Net: Aggregated Feature Difference Learning for Cross-Spectral Image Patch Matching
Dou Quan, Xuefeng Liang, Shuang Wang et al.
CARAFE: Content-Aware ReAssembly of FEatures
Jiaqi Wang, Kai Chen, Rui Xu et al.
AdaTransform: Adaptive Data Transformation
Zhiqiang Tang, Xi Peng, Tingfeng Li et al.
Linearized Multi-Sampling for Differentiable Image Transformation
Wei Jiang, Weiwei Sun, Andrea Tagliasacchi et al.
Bayes-Factor-VAE: Hierarchical Bayesian Deep Auto-Encoder Models for Factor Disentanglement
Minyoung Kim, Yuting Wang, Pritish Sahu et al.
Learning Local Descriptors With a CDF-Based Dynamic Soft Margin
Linguang Zhang, Szymon Rusinkiewicz
Unsupervised Pre-Training of Image Features on Non-Curated Data
Mathilde Caron, Piotr Bojanowski, Julien Mairal et al.
Understanding Deep Networks via Extremal Perturbations and Smooth Masks
Ruth Fong, Mandela Patrick, Andrea Vedaldi