Papers
Demystifying the Neural Tangent Kernel From a Practical Perspective: Can It Be Trusted for Neural Architecture Search Without Training?
Jisoo Mok, Byunggook Na, Ji-Hoon Kim et al.
DenseCLIP: Language-Guided Dense Prediction With Context-Aware Prompting
Yongming Rao, Wenliang Zhao, Guangyi Chen et al.
Dense Depth Priors for Neural Radiance Fields From Sparse Input Views
Barbara Roessle, Jonathan T. Barron, Ben Mildenhall et al.
Dense Learning Based Semi-Supervised Object Detection
Binghui Chen, Pengyu Li, Xiang Chen et al.
Density-Preserving Deep Point Cloud Compression
Yun He, Xinlin Ren, Danhang Tang et al.
Depth-Aware Generative Adversarial Network for Talking Head Video Generation
Fa-Ting Hong, Longhao Zhang, Li Shen et al.
Depth Estimation by Combining Binocular Stereo and Monocular Structured-Light
Yuhua Xu, Xiaoli Yang, Yushan Yu et al.
Depth-Guided Sparse Structure-From-Motion for Movies and TV Shows
Sheng Liu, Xiaohan Nie, Raffay Hamid
Depth-Supervised NeRF: Fewer Views and Faster Training for Free
Kangle Deng, Andrew Liu, Jun-Yan Zhu et al.
De-Rendering 3D Objects in the Wild
Felix Wimbauer, Shangzhe Wu, Christian Rupprecht
DESTR: Object Detection With Split Transformer
Liqiang He, Sinisa Todorovic
Details or Artifacts: A Locally Discriminative Learning Approach to Realistic Image Super-Resolution
Jie Liang, Hui Zeng, Lei Zhang
Detecting Camouflaged Object in Frequency Domain
Yijie Zhong, Bo Li, Lv Tang et al.
Detecting Deepfakes With Self-Blended Images
Kaede Shiohara, Toshihiko Yamasaki
DetectorDetective: Investigating the Effects of Adversarial Examples on Object Detectors
Sivapriya Vellaichamy, Matthew Hull, Zijie J. Wang et al.
Detector-Free Weakly Supervised Group Activity Recognition
Dongkeun Kim, Jinsung Lee, Minsu Cho et al.
Deterministic Point Cloud Registration via Novel Transformation Decomposition
Wen Chen, Haoang Li, Qiang Nie et al.
DETReg: Unsupervised Pretraining With Region Priors for Object Detection
Amir Bar, Xin Wang, Vadim Kantorov et al.
DF-GAN: A Simple and Effective Baseline for Text-to-Image Synthesis
Ming Tao, Hao Tang, Fei Wu et al.
DGECN: A Depth-Guided Edge Convolutional Network for End-to-End 6D Pose Estimation
Tuo Cao, Fei Luo, Yanping Fu et al.
D-Grasp: Physically Plausible Dynamic Grasp Synthesis for Hand-Object Interactions
Sammy Christen, Muhammed Kocabas, Emre Aksan et al.
Differentiable Dynamics for Articulated 3D Human Motion Reconstruction
Erik Gärtner, Mykhaylo Andriluka, Erwin Coumans et al.
Differentiable Stereopsis: Meshes From Multiple Views Using Differentiable Rendering
Shubham Goel, Georgia Gkioxari, Jitendra Malik
Differentially Private Federated Learning With Local Regularization and Sparsification
Anda Cheng, Peisong Wang, Xi Sheryl Zhang et al.
DiffPoseNet: Direct Differentiable Camera Pose Estimation
Chethan M. Parameshwara, Gokul Hari, Cornelia Fermüller et al.