Papers
Kernel Pooling for Convolutional Neural Networks
Yin Cui, Feng Zhou, Jiang Wang et al.
Kernel Square-Loss Exemplar Machines for Image Retrieval
Rafael S. Rezende, Joaquin Zepeda, Jean Ponce et al.
KillingFusion: Non-Rigid 3D Reconstruction Without Correspondences
Miroslava Slavcheva, Maximilian Baust, Daniel Cremers et al.
Knowing When to Look: Adaptive Attention via a Visual Sentinel for Image Captioning
Jiasen Lu, Caiming Xiong, Devi Parikh et al.
Knowledge Acquisition for Visual Question Answering via Iterative Querying
Yuke Zhu, Joseph J. Lim, Li Fei-Fei
L2-Net: Deep Learning of Discriminative Patch Descriptor in Euclidean Space
Yurun Tian, Bin Fan, Fuchao Wu
Large Kernel Matters -- Improve Semantic Segmentation by Global Convolutional Network
Chao Peng, Xiangyu Zhang, Gang Yu et al.
Large Margin Object Tracking With Circulant Feature Maps
Mengmeng Wang, Yong Liu, Zeyi Huang
Latent Multi-View Subspace Clustering
Changqing Zhang, Qinghua Hu, Huazhu Fu et al.
LCNN: Lookup-Based Convolutional Neural Network
Hessam Bagherinezhad, Mohammad Rastegari, Ali Farhadi
LCR-Net: Localization-Classification-Regression for Human Pose
Gregory Rogez, Philippe Weinzaepfel, Cordelia Schmid
Lean Crowdsourcing: Combining Humans and Machines in an Online System
Steve Branson, Grant Van Horn, Pietro Perona
Learned Contextual Feature Reweighting for Image Geo-Localization
Hyo Jin Kim, Enrique Dunn, Jan-Michael Frahm
Learning Adaptive Receptive Fields for Deep Image Parsing Network
Zhen Wei, Yao Sun, Jinqiao Wang et al.
Learning a Deep Embedding Model for Zero-Shot Learning
Li Zhang, Tao Xiang, Shaogang Gong
Learning and Refining of Privileged Information-Based RNNs for Action Recognition From Depth Sequences
Zhiyuan Shi, Tae-Kyun Kim
Learning an Invariant Hilbert Space for Domain Adaptation
Samitha Herath, Mehrtash Harandi, Fatih Porikli
Learning Barycentric Representations of 3D Shapes for Sketch-Based 3D Shape Retrieval
Jin Xie, Guoxian Dai, Fan Zhu et al.
Learning by Association -- A Versatile Semi-Supervised Training Method for Neural Networks
Philip Haeusser, Alexander Mordvintsev, Daniel Cremers
Learning Category-Specific 3D Shape Models From Weakly Labeled 2D Images
Dingwen Zhang, Junwei Han, Yang Yang et al.
Learning Cross-Modal Deep Representations for Robust Pedestrian Detection
Dan Xu, Wanli Ouyang, Elisa Ricci et al.
Learning Cross-Modal Embeddings for Cooking Recipes and Food Images
Amaia Salvador, Nicholas Hynes, Yusuf Aytar et al.
Learning Deep Binary Descriptor With Multi-Quantization
Yueqi Duan, Jiwen Lu, Ziwei Wang et al.
Learning Deep CNN Denoiser Prior for Image Restoration
Kai Zhang, Wangmeng Zuo, Shuhang Gu et al.
Learning Deep Context-Aware Features Over Body and Latent Parts for Person Re-Identification
Dangwei Li, Xiaotang Chen, Zhang Zhang et al.