Papers
Zero-Annotation Object Detection with Web Knowledge Transfer
Qingyi Tao, Hao Yang, Jianfei Cai
Depth Estimation via Affinity Learned with Convolutional Spatial Propagation Network
Xinjing Cheng, Peng Wang, Ruigang Yang
Context Refinement for Object Detection
Zhe Chen, Shaoli Huang, Dacheng Tao
VQA-E: Explaining, Elaborating, and Enhancing Your Answers for Visual Questions
Qing Li, Qingyi Tao, Shafiq Joty et al.
MRF Optimization with Separable Convex Prior on Partially Ordered Labels
Csaba Domokos, Frank R. Schmidt, Daniel Cremers
Multi-Class Model Fitting by Energy Minimization and Mode-Seeking
Daniel Barath, Jiri Matas
Gray-box Adversarial Training
B. S. Vivek, Konda Reddy Mopuri, R. Venkatesh Babu
Deep Cross-Modal Projection Learning for Image-Text Matching
Ying Zhang, Huchuan Lu
Open-World Stereo Video Matching with Deep RNN
Yiran Zhong, Hongdong Li, Yuchao Dai
Consensus-Driven Propagation in Massive Unlabeled Data for Face Recognition
Xiaohang Zhan, Ziwei Liu, Junjie Yan et al.
Pose Partition Networks for Multi-Person Pose Estimation
Xuecheng Nie, Jiashi Feng, Junliang Xing et al.
Modeling Varying Camera-IMU Time Offset in Optimization-Based Visual-Inertial Odometry
Yonggen Ling, Linchao Bao, Zequn Jie et al.
CartoonGAN: Generative Adversarial Networks for Photo Cartoonization
Yang Chen, Yu-Kun Lai, Yong-Jin Liu
ST-GAN: Spatial Transformer Generative Adversarial Networks for Image Compositing
Chen-Hsuan Lin, Ersin Yumer, Oliver Wang et al.
Deep Image Prior
Dmitry Ulyanov, Andrea Vedaldi, Victor Lempitsky
Towards Universal Representation for Unseen Action Recognition
Yi Zhu, Yang Long, Yu Guan et al.
Explicit Loss-Error-Aware Quantization for Low-Bit Deep Neural Networks
Aojun Zhou, Anbang Yao, Kuan Wang et al.
SketchyGAN: Towards Diverse and Realistic Sketch to Image Synthesis
Wengling Chen, James Hays
SGAN: An Alternative Training of Generative Adversarial Networks
Tatjana Chavdarova, François Fleuret
SO-Net: Self-Organizing Network for Point Cloud Analysis
Jiaxin Li, Ben M. Chen, Gim Hee Lee
Spatially-Adaptive Filter Units for Deep Neural Networks
Domen Tabernik, Matej Kristan, Aleš Leonardis
Learning Compact Recurrent Neural Networks With Block-Term Tensor Decomposition
Jinmian Ye, Linnan Wang, Guangxi Li et al.
The Power of Ensembles for Active Learning in Image Classification
William H. Beluch, Tim Genewein, Andreas Nürnberger et al.
Boosting Self-Supervised Learning via Knowledge Transfer
Mehdi Noroozi, Ananth Vinjimoor, Paolo Favaro et al.
Learning Structure and Strength of CNN Filters for Small Sample Size Training
Rohit Keshari, Mayank Vatsa, Richa Singh et al.