Papers
Kernel Modeling Super-Resolution on Real Low-Resolution Images
Ruofan Zhou, Sabine Susstrunk
Key.Net: Keypoint Detection by Handcrafted and Learned CNN Filters
Axel Barroso-Laguna, Edgar Riba, Daniel Ponsa et al.
Knowledge Distillation via Route Constrained Optimization
Xiao Jin, Baoyun Peng, Yichao Wu et al.
KPConv: Flexible and Deformable Convolution for Point Clouds
Hugues Thomas, Charles R. Qi, Jean-Emmanuel Deschaud et al.
Label-PEnet: Sequential Label Propagation and Enhancement Networks for Weakly Supervised Instance Segmentation
Weifeng Ge, Sheng Guo, Weilin Huang et al.
LADN: Local Adversarial Disentangling Network for Facial Makeup and De-Makeup
Qiao Gu, Guanzhi Wang, Mang Tik Chiu et al.
Language-Agnostic Visual-Semantic Embeddings
Jonatas Wehrmann, Douglas M. Souza, Mauricio A. Lopes et al.
Language-Conditioned Graph Networks for Relational Reasoning
Ronghang Hu, Anna Rohrbach, Trevor Darrell et al.
Language Features Matter: Effective Language Representations for Vision-Language Tasks
Andrea Burns, Reuben Tan, Kate Saenko et al.
Laplace Landmark Localization
Joseph P. Robinson, Yuncheng Li, Ning Zhang et al.
LAP-Net: Level-Aware Progressive Network for Image Dehazing
Yunan Li, Qiguang Miao, Wanli Ouyang et al.
Larger Norm More Transferable: An Adaptive Feature Norm Approach for Unsupervised Domain Adaptation
Ruijia Xu, Guanbin Li, Jihan Yang et al.
Large-Scale Tag-Based Font Retrieval With Generative Feature Learning
Tianlang Chen, Zhaowen Wang, Ning Xu et al.
Layout-Induced Video Representation for Recognizing Agent-in-Place Actions
Ruichi Yu, Hongcheng Wang, Ang Li et al.
LayoutVAE: Stochastic Scene Layout Generation From a Label Set
Akash Abdu Jyothi, Thibaut Durand, Jiawei He et al.
Learnable Triangulation of Human Pose
Karim Iskakov, Egor Burkov, Victor Lempitsky et al.
Learned Video Compression
Oren Rippel, Sanjay Nair, Carissa Lew et al.
Learning Aberrance Repressed Correlation Filters for Real-Time UAV Tracking
Ziyuan Huang, Changhong Fu, Yiming Li et al.
Learning Across Tasks and Domains
Pierluigi Zama Ramirez, Alessio Tonioni, Samuele Salti et al.
Learning a Mixture of Granularity-Specific Experts for Fine-Grained Categorization
Lianbo Zhang, Shaoli Huang, Wei Liu et al.
Learning an Effective Equivariant 3D Descriptor Without Supervision
Riccardo Spezialetti, Samuele Salti, Luigi Di Stefano
Learning an Event Sequence Embedding for Dense Event-Based Deep Stereo
Stepan Tulyakov, Francois Fleuret, Martin Kiefel et al.
Learning Combinatorial Embedding Networks for Deep Graph Matching
Runzhong Wang, Junchi Yan, Xiaokang Yang
Learning Compositional Neural Information Fusion for Human Parsing
Wenguan Wang, Zhijie Zhang, Siyuan Qi et al.
Learning Compositional Representations for Few-Shot Recognition
Pavel Tokmakov, Yu-Xiong Wang, Martial Hebert