Papers
Decompose More and Aggregate Better: Two Closer Looks at Frequency Representation Learning for Human Motion Prediction
Xuehao Gao, Shaoyi Du, Yang Wu et al.
Decoupled Multimodal Distilling for Emotion Recognition
Yong Li, Yuanzhi Wang, Zhen Cui
Decoupled Semantic Prototypes Enable Learning From Diverse Annotation Types for Semi-Weakly Segmentation in Expert-Driven Domains
Simon Reiß, Constantin Seibold, Alexander Freytag et al.
Decoupling-and-Aggregating for Image Exposure Correction
Yang Wang, Long Peng, Liang Li et al.
Decoupling Human and Camera Motion From Videos in the Wild
Vickie Ye, Georgios Pavlakos, Jitendra Malik et al.
Decoupling Learning and Remembering: A Bilevel Memory Framework With Knowledge Projection for Task-Incremental Learning
Wenju Sun, Qingyong Li, Jing Zhang et al.
Decoupling MaxLogit for Out-of-Distribution Detection
Zihan Zhang, Xiang Xiang
Deep Arbitrary-Scale Image Super-Resolution via Scale-Equivariance Pursuit
Xiaohang Wang, Xuanhong Chen, Bingbing Ni et al.
Deep Curvilinear Editing: Commutative and Nonlinear Image Manipulation for Pretrained Deep Generative Model
Takehiro Aoshima, Takashi Matsubara
Deep Depth Estimation From Thermal Image
Ukcheol Shin, Jinsun Park, In So Kweon
Deep Deterministic Uncertainty: A New Simple Baseline
Jishnu Mukhoti, Andreas Kirsch, Joost van Amersfoort et al.
Deep Discriminative Spatial and Temporal Network for Efficient Video Deblurring
Jinshan Pan, Boming Xu, Jiangxin Dong et al.
Deep Dive Into Gradients: Better Optimization for 3D Object Detection With Gradient-Corrected IoU Supervision
Qi Ming, Lingjuan Miao, Zhe Ma et al.
Deep Factorized Metric Learning
Chengkun Wang, Wenzhao Zheng, Junlong Li et al.
Deep Fair Clustering via Maximizing and Minimizing Mutual Information: Theory, Algorithm and Metric
Pengxin Zeng, Yunfan Li, Peng Hu et al.
Deep Frequency Filtering for Domain Generalization
Shiqi Lin, Zhizheng Zhang, Zhipeng Huang et al.
Deep Graph-Based Spatial Consistency for Robust Non-Rigid Point Cloud Registration
Zheng Qin, Hao Yu, Changjian Wang et al.
Deep Graph Reprogramming
Yongcheng Jing, Chongbin Yuan, Li Ju et al.
Deep Hashing With Minimal-Distance-Separated Hash Centers
Liangdao Wang, Yan Pan, Cong Liu et al.
Deep Incomplete Multi-View Clustering With Cross-View Partial Sample and Prototype Alignment
Jiaqi Jin, Siwei Wang, Zhibin Dong et al.
Deep Learning of Partial Graph Matching via Differentiable Top-K
Runzhong Wang, Ziao Guo, Shaofei Jiang et al.
DeepLSD: Line Segment Detection and Refinement With Deep Image Gradients
Rémi Pautrat, Daniel Barath, Viktor Larsson et al.
DeepMAD: Mathematical Architecture Design for Deep Convolutional Neural Network
Xuan Shen, Yaohua Wang, Ming Lin et al.
DeepMapping2: Self-Supervised Large-Scale LiDAR Map Optimization
Chao Chen, Xinhao Liu, Yiming Li et al.
Deep Polarization Reconstruction With PDAVIS Events
Haiyang Mei, Zuowen Wang, Xin Yang et al.