Papers
Extreme Relative Pose Estimation for RGB-D Scans via Scene Completion
Zhenpei Yang, Jeffrey Z. Pan, Linjie Luo et al.
Learning the Depths of Moving People by Watching Frozen People
Zhengqi Li, Tali Dekel, Forrester Cole et al.
H+O: Unified Egocentric Recognition of 3D Hand-Object Poses and Interactions
Bugra Tekin, Federica Bogo, Marc Pollefeys
Convolutional Mesh Regression for Single-Image Human Shape Reconstruction
Nikos Kolotouros, Georgios Pavlakos, Kostas Daniilidis
Detailed Human Shape Estimation From a Single Image by Hierarchical Mesh Deformation
Hao Zhu, Xinxin Zuo, Sen Wang et al.
SiCloPe: Silhouette-Based Clothed People
Ryota Natsume, Shunsuke Saito, Zeng Huang et al.
3D Shape Reconstruction From Images in the Frequency Domain
Weichao Shen, Yunde Jia, Yuwei Wu
Occupancy Networks: Learning 3D Reconstruction in Function Space
Lars Mescheder, Michael Oechsle, Michael Niemeyer et al.
PlaneRCNN: 3D Plane Detection and Reconstruction From a Single Image
Chen Liu, Kihwan Kim, Jinwei Gu et al.
TextureNet: Consistent Local Parametrizations for Learning From High-Resolution Signals on Meshes
Jingwei Huang, Haotian Zhang, Li Yi et al.
Causes and Corrections for Bimodal Multi-Path Scanning With Structured Light
Yu Zhang, Daniel L. Lau, Ying Yu
3D-SIS: 3D Semantic Instance Segmentation of RGB-D Scans
Ji Hou, Angela Dai, Matthias Niessner
Parallel Optimal Transport GAN
Gil Avraham, Yan Zuo, Tom Drummond
A Style-Based Generator Architecture for Generative Adversarial Networks
Tero Karras, Samuli Laine, Timo Aila
Balanced Self-Paced Learning for Generative Adversarial Clustering Network
Kamran Ghasedi, Xiaoqian Wang, Cheng Deng et al.
Unsupervised Visual Domain Adaptation: A Deep Max-Margin Gaussian Process Approach
Minyoung Kim, Pritish Sahu, Behnam Gholami et al.
Unsupervised Learning of Dense Shape Correspondence
Oshri Halimi, Or Litany, Emanuele Rodola et al.
Not All Areas Are Equal: Transfer Learning for Semantic Segmentation via Hierarchical Region Selection
Ruoqi Sun, Xinge Zhu, Chongruo Wu et al.
Learning to Quantize Deep Networks by Optimizing Quantization Intervals With Task Loss
Sangil Jung, Changyong Son, Seohyung Lee et al.
Filter Pruning via Geometric Median for Deep Convolutional Neural Networks Acceleration
Yang He, Ping Liu, Ziwei Wang et al.
A General and Adaptive Robust Loss Function
Jonathan T. Barron
Decoupling Direction and Norm for Efficient Gradient-Based L2 Adversarial Attacks and Defenses
Jerome Rony, Luiz G. Hafemann, Luiz S. Oliveira et al.
Evading Defenses to Transferable Adversarial Examples by Translation-Invariant Attacks
Yinpeng Dong, Tianyu Pang, Hang Su et al.
Adversarial Attacks Beyond the Image Space
Xiaohui Zeng, Chenxi Liu, Yu-Siang Wang et al.
Sphere Generative Adversarial Network Based on Geometric Moment Matching
Sung Woo Park, Junseok Kwon