Papers
DATID-3D: Diversity-Preserved Domain Adaptation Using Text-to-Image Diffusion for 3D Generative Model
Gwanghyun Kim, Se Young Chun
DA Wand: Distortion-Aware Selection Using Neural Mesh Parameterization
Richard Liu, Noam Aigerman, Vladimir G. Kim et al.
DBARF: Deep Bundle-Adjusting Generalizable Neural Radiance Fields
Yu Chen, Gim Hee Lee
DC2: Dual-Camera Defocus Control by Learning To Refocus
Hadi Alzayer, Abdullah Abuolaim, Leung Chun Chan et al.
DCFace: Synthetic Face Generation With Dual Condition Diffusion Model
Minchul Kim, Feng Liu, Anil Jain et al.
Dealing With Cross-Task Class Discrimination in Online Continual Learning
Yiduo Guo, Bing Liu, Dongyan Zhao
DeAR: Debiasing Vision-Language Models With Additive Residuals
Ashish Seth, Mayur Hemani, Chirag Agarwal
Decentralized Learning With Multi-Headed Distillation
Andrey Zhmoginov, Mark Sandler, Nolan Miller et al.
DeCo: Decomposition and Reconstruction for Compositional Temporal Grounding via Coarse-To-Fine Contrastive Ranking
Lijin Yang, Quan Kong, Hsuan-Kung Yang et al.
Decompose, Adjust, Compose: Effective Normalization by Playing With Frequency for Domain Generalization
Sangrok Lee, Jongseong Bae, Ha Young Kim
Decomposed Cross-Modal Distillation for RGB-Based Temporal Action Detection
Pilhyeon Lee, Taeoh Kim, Minho Shim et al.
Decomposed Soft Prompt Guided Fusion Enhancing for Compositional Zero-Shot Learning
Xiaocheng Lu, Song Guo, Ziming Liu et al.
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.