Papers
Learning to Extract a Video Sequence From a Single Motion-Blurred Image
Meiguang Jin, Givi Meishvili, Paolo Favaro
Learning to Find Good Correspondences
Kwang Moo Yi, Eduard Trulls, Yuki Ono et al.
Learning to Generate Time-Lapse Videos Using Multi-Stage Dynamic Generative Adversarial Networks
Wei Xiong, Wenhan Luo, Lin Ma et al.
Learning to Localize Sound Source in Visual Scenes
Arda Senocak, Tae-Hyun Oh, Junsik Kim et al.
Learning to Look Around: Intelligently Exploring Unseen Environments for Unknown Tasks
Dinesh Jayaraman, Kristen Grauman
Learning to Parse Wireframes in Images of Man-Made Environments
Kun Huang, Yifan Wang, Zihan Zhou et al.
Learning to Promote Saliency Detectors
Yu Zeng, Huchuan Lu, Lihe Zhang et al.
Learning to See in the Dark
Chen Chen, Qifeng Chen, Jia Xu et al.
Learning to Segment Every Thing
Ronghang Hu, Piotr Dollár, Kaiming He et al.
Learning to Sketch With Shortcut Cycle Consistency
Jifei Song, Kaiyue Pang, Yi-Zhe Song et al.
Learning to Understand Image Blur
Shanghang Zhang, Xiaohui Shen, Zhe Lin et al.
Learning Transferable Architectures for Scalable Image Recognition
Barret Zoph, Vijay Vasudevan, Jonathon Shlens et al.
Learning Visual Knowledge Memory Networks for Visual Question Answering
Zhou Su, Chen Zhu, Yinpeng Dong et al.
Left-Right Comparative Recurrent Model for Stereo Matching
Zequn Jie, Pengfei Wang, Yonggen Ling et al.
LEGO: Learning Edge With Geometry All at Once by Watching Videos
Zhenheng Yang, Peng Wang, Yang Wang et al.
Leveraging Unlabeled Data for Crowd Counting by Learning to Rank
Xialei Liu, Joost van de Weijer, Andrew D. Bagdanov
LiDAR-Video Driving Dataset: Learning Driving Policies Effectively
Yiping Chen, Jingkang Wang, Jonathan Li et al.
Light Field Intrinsics With a Deep Encoder-Decoder Network
Anna Alperovich, Ole Johannsen, Michael Strecke et al.
Lightweight Probabilistic Deep Networks
Jochen Gast, Stefan Roth
LIME: Live Intrinsic Material Estimation
Abhimitra Meka, Maxim Maximov, Michael Zollhöfer et al.
Link and Code: Fast Indexing With Graphs and Compact Regression Codes
Matthijs Douze, Alexandre Sablayrolles, Hervé Jégou
Lions and Tigers and Bears: Capturing Non-Rigid, 3D, Articulated Shape From Images
Silvia Zuffi, Angjoo Kanazawa, Michael J. Black
LiteFlowNet: A Lightweight Convolutional Neural Network for Optical Flow Estimation
Tak-Wai Hui, Xiaoou Tang, Chen Change Loy
Local and Global Optimization Techniques in Graph-Based Clustering
Daiki Ikami, Toshihiko Yamasaki, Kiyoharu Aizawa
Local Descriptors Optimized for Average Precision
Kun He, Yan Lu, Stan Sclaroff