Papers
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.
Deep Random Projector: Accelerated Deep Image Prior
Taihui Li, Hengkang Wang, Zhong Zhuang et al.
Deep Semi-Supervised Metric Learning With Mixed Label Propagation
Furen Zhuang, Pierre Moulin
DeepSolo: Let Transformer Decoder With Explicit Points Solo for Text Spotting
Maoyuan Ye, Jing Zhang, Shanshan Zhao et al.
Deep Stereo Video Inpainting
Zhiliang Wu, Changchang Sun, Hanyu Xuan et al.
DeepVecFont-v2: Exploiting Transformers To Synthesize Vector Fonts With Higher Quality
Yuqing Wang, Yizhi Wang, Longhui Yu et al.
DeFeeNet: Consecutive 3D Human Motion Prediction With Deviation Feedback
Xiaoning Sun, Huaijiang Sun, Bin Li et al.
Defending Against Patch-Based Backdoor Attacks on Self-Supervised Learning
Ajinkya Tejankar, Maziar Sanjabi, Qifan Wang et al.
Defining and Quantifying the Emergence of Sparse Concepts in DNNs
Jie Ren, Mingjie Li, Qirui Chen et al.
Deformable Mesh Transformer for 3D Human Mesh Recovery
Yusuke Yoshiyasu
DegAE: A New Pretraining Paradigm for Low-Level Vision
Yihao Liu, Jingwen He, Jinjin Gu et al.
DeGPR: Deep Guided Posterior Regularization for Multi-Class Cell Detection and Counting
Aayush Kumar Tyagi, Chirag Mohapatra, Prasenjit Das et al.
DejaVu: Conditional Regenerative Learning To Enhance Dense Prediction
Shubhankar Borse, Debasmit Das, Hyojin Park et al.
Delivering Arbitrary-Modal Semantic Segmentation
Jiaming Zhang, Ruiping Liu, Hao Shi et al.