Papers
Iterative Projection and Matching: Finding Structure-Preserving Representatives and Its Application to Computer Vision
Alireza Zaeemzadeh, Mohsen Joneidi, Nazanin Rahnavard et al.
Iterative Reorganization With Weak Spatial Constraints: Solving Arbitrary Jigsaw Puzzles for Unsupervised Representation Learning
Chen Wei, Lingxi Xie, Xutong Ren et al.
Iterative Residual CNNs for Burst Photography Applications
Filippos Kokkinos, Stamatis Lefkimmiatis
Iterative Residual Refinement for Joint Optical Flow and Occlusion Estimation
Junhwa Hur, Stefan Roth
It's Not About the Journey; It's About the Destination: Following Soft Paths Under Question-Guidance for Visual Reasoning
Monica Haurilet, Alina Roitberg, Rainer Stiefelhagen
Joint Discriminative and Generative Learning for Person Re-Identification
Zhedong Zheng, Xiaodong Yang, Zhiding Yu et al.
Joint Face Detection and Facial Motion Retargeting for Multiple Faces
Bindita Chaudhuri, Noranart Vesdapunt, Baoyuan Wang
Joint Manifold Diffusion for Combining Predictions on Decoupled Observations
Kwang In Kim, Hyung Jin Chang
Joint Representation and Estimator Learning for Facial Action Unit Intensity Estimation
Yong Zhang, Baoyuan Wu, Weiming Dong et al.
Joint Representative Selection and Feature Learning: A Semi-Supervised Approach
Suchen Wang, Jingjing Meng, Junsong Yuan et al.
JSIS3D: Joint Semantic-Instance Segmentation of 3D Point Clouds With Multi-Task Pointwise Networks and Multi-Value Conditional Random Fields
Quang-Hieu Pham, Thanh Nguyen, Binh-Son Hua et al.
KE-GAN: Knowledge Embedded Generative Adversarial Networks for Semi-Supervised Scene Parsing
Mengshi Qi, Yunhong Wang, Jie Qin et al.
Kernel Transformer Networks for Compact Spherical Convolution
Yu-Chuan Su, Kristen Grauman
Kervolutional Neural Networks
Chen Wang, Jianfei Yang, Lihua Xie et al.
K-Nearest Neighbors Hashing
Xiangyu He, Peisong Wang, Jian Cheng
Knockoff Nets: Stealing Functionality of Black-Box Models
Tribhuvanesh Orekondy, Bernt Schiele, Mario Fritz
Knowing When to Stop: Evaluation and Verification of Conformity to Output-Size Specifications
Chenglong Wang, Rudy Bunel, Krishnamurthy Dvijotham et al.
Knowledge Adaptation for Efficient Semantic Segmentation
Tong He, Chunhua Shen, Zhi Tian et al.
Knowledge Distillation via Instance Relationship Graph
Yufan Liu, Jiajiong Cao, Bing Li et al.
Knowledge-Embedded Routing Network for Scene Graph Generation
Tianshui Chen, Weihao Yu, Riquan Chen et al.
L3-Net: Towards Learning Based LiDAR Localization for Autonomous Driving
Weixin Lu, Yao Zhou, Guowei Wan et al.
Label Efficient Semi-Supervised Learning via Graph Filtering
Qimai Li, Xiao-Ming Wu, Han Liu et al.
Label-Noise Robust Generative Adversarial Networks
Takuhiro Kaneko, Yoshitaka Ushiku, Tatsuya Harada
Label Propagation for Deep Semi-Supervised Learning
Ahmet Iscen, Giorgos Tolias, Yannis Avrithis et al.