Papers
Deep SR-ITM: Joint Learning of Super-Resolution and Inverse Tone-Mapping for 4K UHD HDR Applications
Soo Ye Kim, Jihyong Oh, Munchurl Kim
Deep Supervised Hashing With Anchor Graph
Yudong Chen, Zhihui Lai, Yujuan Ding et al.
Deep Tensor ADMM-Net for Snapshot Compressive Imaging
Jiawei Ma, Xiao-Yang Liu, Zheng Shou et al.
DeepVCP: An End-to-End Deep Neural Network for Point Cloud Registration
Weixin Lu, Guowei Wan, Yao Zhou et al.
Defending Against Universal Perturbations With Shared Adversarial Training
Chaithanya Kumar Mummadi, Thomas Brox, Jan Hendrik Metzen
Deformable Surface Tracking by Graph Matching
Tao Wang, Haibin Ling, Congyan Lang et al.
Delving Deep Into Hybrid Annotations for 3D Human Recovery in the Wild
Yu Rong, Ziwei Liu, Cheng Li et al.
Delving Into Robust Object Detection From Unmanned Aerial Vehicles: A Deep Nuisance Disentanglement Approach
Zhenyu Wu, Karthik Suresh, Priya Narayanan et al.
DensePoint: Learning Densely Contextual Representation for Efficient Point Cloud Processing
Yongcheng Liu, Bin Fan, Gaofeng Meng et al.
DenseRaC: Joint 3D Pose and Shape Estimation by Dense Render-and-Compare
Yuanlu Xu, Song-Chun Zhu, Tony Tung
Depth Completion From Sparse LiDAR Data With Depth-Normal Constraints
Yan Xu, Xinge Zhu, Jianping Shi et al.
Depth From Videos in the Wild: Unsupervised Monocular Depth Learning From Unknown Cameras
Ariel Gordon, Hanhan Li, Rico Jonschkowski et al.
Depth-Induced Multi-Scale Recurrent Attention Network for Saliency Detection
Yongri Piao, Wei Ji, Jingjing Li et al.
Detecting 11K Classes: Large Scale Object Detection Without Fine-Grained Bounding Boxes
Hao Yang, Hao Wu, Hao Chen
Detecting Photoshopped Faces by Scripting Photoshop
Sheng-Yu Wang, Oliver Wang, Andrew Owens et al.
Detecting the Unexpected via Image Resynthesis
Krzysztof Lis, Krishna Nakka, Pascal Fua et al.
Detecting Unseen Visual Relations Using Analogies
Julia Peyre, Ivan Laptev, Cordelia Schmid et al.
DewarpNet: Single-Image Document Unwarping With Stacked 3D and 2D Regression Networks
Sagnik Das, Ke Ma, Zhixin Shu et al.
DF2Net: A Dense-Fine-Finer Network for Detailed 3D Face Reconstruction
Xiaoxing Zeng, Xiaojiang Peng, Yu Qiao
Differentiable Kernel Evolution
Yu Liu, Jihao Liu, Ailing Zeng et al.
Differentiable Learning-to-Group Channels via Groupable Convolutional Neural Networks
Zhaoyang Zhang, Jingyu Li, Wenqi Shao et al.
Differentiable Soft Quantization: Bridging Full-Precision and Low-Bit Neural Networks
Ruihao Gong, Xianglong Liu, Shenghu Jiang et al.
Digging Into Self-Supervised Monocular Depth Estimation
Clement Godard, Oisin Mac Aodha, Michael Firman et al.
Dilated Convolutional Neural Networks for Sequential Manifold-Valued Data
Xingjian Zhen, Rudrasis Chakraborty, Nicholas Vogt et al.
DiscoNet: Shapes Learning on Disconnected Manifolds for 3D Editing
Eloi Mehr, Ariane Jourdan, Nicolas Thome et al.