Papers
CVF-SID: Cyclic Multi-Variate Function for Self-Supervised Image Denoising by Disentangling Noise From Image
Reyhaneh Neshatavar, Mohsen Yavartanoo, Sanghyun Son et al.
CVNet: Contour Vibration Network for Building Extraction
Ziqiang Xu, Chunyan Xu, Zhen Cui et al.
Cycle-Consistent Counterfactuals by Latent Transformations
Saeed Khorram, Li Fuxin
CycleMix: A Holistic Strategy for Medical Image Segmentation From Scribble Supervision
Ke Zhang, Xiahai Zhuang
DAD-3DHeads: A Large-Scale Dense, Accurate and Diverse Dataset for 3D Head Alignment From a Single Image
Tetiana Martyniuk, Orest Kupyn, Yana Kurlyak et al.
DAFormer: Improving Network Architectures and Training Strategies for Domain-Adaptive Semantic Segmentation
Lukas Hoyer, Dengxin Dai, Luc Van Gool
DAIR-V2X: A Large-Scale Dataset for Vehicle-Infrastructure Cooperative 3D Object Detection
Haibao Yu, Yizhen Luo, Mao Shu et al.
DanceTrack: Multi-Object Tracking in Uniform Appearance and Diverse Motion
Peize Sun, Jinkun Cao, Yi Jiang et al.
Dancing Under the Stars: Video Denoising in Starlight
Kristina Monakhova, Stephan R. Richter, Laura Waller et al.
DArch: Dental Arch Prior-Assisted 3D Tooth Instance Segmentation With Weak Annotations
Liangdong Qiu, Chongjie Ye, Pei Chen et al.
DASO: Distribution-Aware Semantics-Oriented Pseudo-Label for Imbalanced Semi-Supervised Learning
Youngtaek Oh, Dong-Jin Kim, In So Kweon
DATA: Domain-Aware and Task-Aware Self-Supervised Learning
Qing Chang, Junran Peng, Lingxi Xie et al.
Data-Free Network Compression via Parametric Non-Uniform Mixed Precision Quantization
Vladimir Chikin, Mikhail Antiukh
Dataset Distillation by Matching Training Trajectories
George Cazenavette, Tongzhou Wang, Antonio Torralba et al.
Day-to-Night Image Synthesis for Training Nighttime Neural ISPs
Abhijith Punnappurath, Abdullah Abuolaim, Abdelrahman Abdelhamed et al.
DC-SSL: Addressing Mismatched Class Distribution in Semi-Supervised Learning
Zhen Zhao, Luping Zhou, Yue Duan et al.
DearKD: Data-Efficient Early Knowledge Distillation for Vision Transformers
Xianing Chen, Qiong Cao, Yujie Zhong et al.
Debiased Learning From Naturally Imbalanced Pseudo-Labels
Xudong Wang, Zhirong Wu, Long Lian et al.
Deblur-NeRF: Neural Radiance Fields From Blurry Images
Li Ma, Xiaoyu Li, Jing Liao et al.
Deblurring via Stochastic Refinement
Jay Whang, Mauricio Delbracio, Hossein Talebi et al.
DECORE: Deep Compression With Reinforcement Learning
Manoj Alwani, Yang Wang, Vashisht Madhavan
Decoupled Knowledge Distillation
Borui Zhao, Quan Cui, Renjie Song et al.
Decoupled Multi-Task Learning With Cyclical Self-Regulation for Face Parsing
Qingping Zheng, Jiankang Deng, Zheng Zhu et al.
Decoupling and Recoupling Spatiotemporal Representation for RGB-D-Based Motion Recognition
Benjia Zhou, Pichao Wang, Jun Wan et al.
Decoupling Makes Weakly Supervised Local Feature Better
Kunhong Li, Longguang Wang, Li Liu et al.