Deep Learning Publication Navigator - subtopic: 3d

Year TitleAuthor
2017   Generative models of part-structured 3D objects  C Nash, CKI Williams
2017   Multimodal 2D+ 3D Facial Expression Recognition with Deep Fusion Convolutional Neural Network  H LI, J Sun, XU Zongben, L Chen
2017   Deep Multitask Architecture for Integrated 2D and 3D Human Sensing  AI Popa, M Zanfir, C Sminchisescu
2017   Stacked convolutional auto-encoders for surface recognition based on 3d point cloud data  M Maimaitimin, K Watanabe, S Maeyama
2017   Discriminating between benign and malignant breast tumors using 3D convolutional neural network in dynamic contrast enhanced MR images  J Li, M Fan, J Zhang, L Li
2017   Deep Learning Segmentation of Optical Microscopy Images Improves 3D Neuron Reconstruction  R Li, T Zeng, S Ji
2017   Action Recognition Based on Features Fusion and 3D Convolutional Neural Networks  L Liu, F Hu, J Zhao
2017   Residual and Plain Convolutional Neural Networks for 3D Brain MRI Classification  S Korolev, A Safiullin, M Belyaev, Y Dodonova
2017   Fully Convolutional Object Depth Prediction for 3D Segmentation from 2.5 D Input  K Wada, K Okada, M Inaba
2017   Deep-cascade: Cascading 3D Deep Neural Networks for Fast Anomaly Detection and Localization in Crowded Scenes  M Sabokrou, M Fayyaz, M Fathy, R Klette
2017   Towards Pose Estimation of 3D Objects in Monocular Images via Keypoint Detection  D Dwibedi
2017   A fully end-to-end deep learning approach for real-time simultaneous 3D reconstruction and material recognition  C Zhao, L Sun, R Stolkin
2017   Learning 3D Faces from 2D Images via Stacked Contractive Autoencoder  J Zhang, K Li, Y Liang, N Li
2017   Large Pose 3D Face Reconstruction from a Single Image via Direct Volumetric CNN Regression  AS Jackson, A Bulat, V Argyriou, G Tzimiropoulos
2017   Deep MANTA: A Coarse-to-fine Many-Task Network for joint 2D and 3D vehicle analysis from monocular image  F Chabot, M Chaouch, J Rabarisoa, C Teulière
2017   R-C3D: Region Convolutional 3D Network for Temporal Activity Detection  H Xu, A Das, K Saenko
2017   Action Recognition Using 3D Histograms of Texture and A Multi-class Boosting Classifier  B Zhang, Y Yang, C Chen, L Yang, J Han, L Shao
2017   VANETs Meet Autonomous Vehicles: A Multimodal 3D Environment Learning Approach  Y Maalej, S Sorour, A Abdel
2017   Deep Learning with Geodesic Moments for 3D Shape Classification  L Luciano, AB Hamza
2017   Deep 3D Face Identification  D Kim, M Hernandez, J Choi, G Medioni
2017   Deep, Dense and Accurate 3D Face Correspondence for Generating Population Specific Deformable Models  SZ Gilani, A Mian, P Eastwood
2017   Classification of 3D Shapes with Convolutional Neural Networks  L Keselman
2017   Learning Spatiotemporal Features for Infrared Action Recognition with 3D Convolutional Neural Networks  Z Jiang, V Rozgic, S Adali
2017   Learning a Hierarchical Latent-Variable Model of Voxelized 3D Shapes  S Liu, II Ororbia, G Alexander, CL Giles
2017   Holistic Planimetric prediction to Local Volumetric prediction for 3D Human Pose Estimation  G Moon, JY Chang, Y Suh, KM Lee
2017   LightNet: A Lightweight 3D Convolutional Neural Network for Real-Time 3D Object Recognition  S Zhi, Y Liu, X Li, Y Guo
2017   Automatic cerebrospinal fluid segmentation in non-contrast CT images using a 3D convolutional network  A Patel, SC van de Leemput, M Prokop
2017   3D convolutional neural network for automatic detection of lung nodules in chest CT  S Hamidian, B Sahiner, N Petrick, A Pezeshk
2017   3D Shape Recognition and Retrieval based on Multi-modality Deep Learning  S Bu, L Wang, P Han, Z Liu, K Li
2017   A left ventricular segmentation method on 3D echocardiography using deep learning and snake  SY Dong, GN Luo, GX Sun, KQ Wang, HG Zhang
2017   A combined multi-scale deep learning and random forests approach for direct left ventricular volumes estimation in 3D echocardiography  SY Dong, GN Luo, GX Sun, KQ Wang, HG Zhang
2017   3D Reconstruction of Simple Objects from A Single View Silhouette Image  X Di, P Yu
2017   3D Convolutional Neural Networks By Modal Fusion  Y Yoshiyasu, E Yoshida, S Pirk, L Guibas
2017   SurvivalNet: Predicting patient survival from diffusion weighted magnetic resonance images using cascaded fully convolutional and 3D convolutional neural networks  PF Christ, F Ettlinger, G Kaissis, S Schlecht, F Ahmaddy
2017   Lifting from the Deep: Convolutional 3D Pose Estimation from a Single Image  D Tome, C Russell, L Agapito
2017   Volumetric ConvNets with Mixed Residual Connections for Automated Prostate Segmentation from 3D MR Images  L Yu, X Yang, H Chen, J Qin, PA Heng
2017   3D object segmentation for shelf bin picking by humanoid with deep learning and occupancy voxel grid map  K Wada, M Murooka, K Okada, M Inaba
2017   Automated segmentation of 3D anatomical structures on CT images by using a deep convolutional network based on end-to-end learning approach  X Zhou, R Takayama, S Wang, X Zhou, T Hara, H Fujita
2017   Deep Semantic Classification for 3D LiDAR Data  A Dewan, GL Oliveira, W Burgard
2017   Emotion-Based 3D CG Character Behaviors  K Kaneko, Y Okada
2017   Weakly Supervised Generative Adversarial Networks for 3D Reconstruction  JY Gwak, CB Choy, A Garg, M Chandraker, S Savarese
2017   How far are we from solving the 2D & 3D Face Alignment problem?(and a dataset of 230,000 3D facial landmarks)  A Bulat, G Tzimiropoulos
2017   Two-Stream 3D Convolutional Neural Network for Skeleton-Based Action Recognition  H Liu, J Tu, M Liu
2017   GP-Unet: Lesion Detection from Weak Labels with a 3D Regression Network  F Dubost, G Bortsova, H Adams, A Ikram, W Niessen
2017   3D Motion Modeling and Reconstruction of Left Ventricle Wall in Cardiac MRI  D Yang, P Wu, C Tan, KM Pohl, L Axel, D Metaxas
2017   Deep Adversarial 3D Shape Net  C Lin, D Liu, A Kelly
2017   Learning Efficient Point Cloud Generation for Dense 3D Object Reconstruction  CH Lin, C Kong, S Lucey
2017   Interactive 3D Modeling with a Generative Adversarial Network  J Liu, F Yu, T Funkhouser
2017   Automatic 3D ultrasound segmentation of the first trimester placenta using deep learning  P Looney, GN Stevenson, KH Nicolaides, W Plasencia
2017   Generating Multiple Hypotheses for Human 3D Pose Consistent with 2D Joint Detections  E Jahangiri, AL Yuille
2017   3D Deep Learning for Biological Function Prediction from Physical Fields  V Golkov, MJ Skwark, A Mirchev, G Dikov, AR Geanes
2017   DeepSketch2Face: A Deep Learning Based Sketching System for 3D Face and Caricature Modeling  X Han, C Gao, Y Yu
2017   Learning to Estimate 3D Hand Pose from Single RGB Images  C Zimmermann, T Brox
2017   VNect: Real-time 3D Human Pose Estimation with a Single RGB Camera  D Mehta, S Sridhar, O Sotnychenko, H Rhodin
2017   Interpretable 3D Human Action Analysis with Temporal Convolutional Networks  TS Kim, A Reiter
2017   Harvesting Multiple Views for Marker-less 3D Human Pose Annotations  G Pavlakos, X Zhou, KG Derpanis, K Daniilidis
2017   SkeletonNet: Mining Deep Part Features for 3D Action Recognition  Q Ke, S An, M Bennamoun, F Sohel, F Boussaid
2017   VoxResNet: Deep voxelwise residual networks for brain segmentation from 3D MR images  H Chen, Q Dou, L Yu, J Qin, PA Heng
2017   Joint Sequence Learning and Cross-Modality Convolution for 3D Biomedical Segmentation  KL Tseng, YL Lin, W Hsu, CY Huang
2017   Body Joint guided 3D Deep Convolutional Descriptors for Action Recognition  C Cao, Y Zhang, C Zhang, H Lu
2017   Hierarchical 3D fully convolutional networks for multi-organ segmentation  HR Roth, H Oda, Y Hayashi, M Oda, N Shimizu
2017   Prostate cancer diagnosis using deep learning with 3D multiparametric MRI  S Liu, H Zheng, Y Feng, W Li
2017   Pose-Invariant Face Alignment via CNN-Based Dense 3D Model Fitting  A Jourabloo, X Liu
2017   3D High-quality Textile Reconstruction with Synthesized Texture  P Hu, T Komura, D Li, G Wu, Y Zhong
2017   Hand3D: Hand Pose Estimation using 3D Neural Network  X Deng, S Yang, Y Zhang, P Tan, L Chang, H Wang
2017   Isotropic reconstruction of 3D fluorescence microscopy images using convolutional neural networks  M Weigert, L Royer, F Jug, G Myers
2017   Deep Learning Advances in Computer Vision with 3D Data: A Survey  A Ioannidou, E Chatzilari, S Nikolopoulos
2017   Transformation-Grounded Image Generation Network for Novel 3D View Synthesis  E Park, J Yang, E Yumer, D Ceylan, AC Berg
2017   3D reconstruction of synapses with deep learning based on EM Images  C Xiao, Q Rao, D Zhang, X Chen, H Han, Q Xie
2017   Disaster damage detection through synergistic use of deep learning and 3D point cloud features derived from very high resolution oblique aerial images, and multiple- …  A Vetrivel, M Gerke, N Kerle, F Nex, G Vosselman
2017   Large Scale Novel Object Discovery in 3D  S Srivastava, G Sharma, B Lall
2017   Learning 3D Object Categories by Looking Around Them  D Novotny, D Larlus, A Vedaldi
2017   Recognition, location, measurement, and 3D reconstruction of concealed cracks using convolutional neural networks  Z Tong, J Gao, H Zhang
2017   Semantic segmentation for 3D localization in urban environments  A Armagan, M Hirzer, V Lepetit
2017   Spectral–Spatial Classification of Hyperspectral Imagery with 3D Convolutional Neural Network  Y Li, H Zhang, Q Shen
2017   3D Deeply Supervised Network for Automated Segmentation of Volumetric Medical Images  Q Dou, L Yu, H Chen, Y Jin, X Yang, J Qin, PA Heng
2017   CaloGAN: Simulating 3D High Energy Particle Showers in Multi-Layer Electromagnetic Calorimeters with Generative Adversarial Networks  M Paganini, L de Oliveira, B Nachman
2017   Deep learning of volumetric representation for 3D object recognition  H Liu, Y Cong, Y Tang
2017   3D BLE Indoor Localization based on Denoising Autoencoder  C Xiao, D Yang, Z Chen, G Tan
2017   VFH-Color and Deep Belief Network for 3D Point Cloud Recognition  N Zrira, M Hannat, EH Bouyakhf
2017   Deep Learning for Isotropic Super-Resolution from Non-Isotropic 3D Electron Microscopy  L Heinrich, JA Bogovic, S Saalfeld
2017   On the Compactness, Efficiency, and Representation of 3D Convolutional Networks: Brain Parcellation as a Pretext Task  W Li, G Wang, L Fidon, S Ourselin, MJ Cardoso
2016   Combining Fully Convolutional and Recurrent Neural Networks for 3D Biomedical Image Segmentation  J Chen, L Yang, Y Zhang, M Alber, DZ Chen
2016   Space-Time Representation of People Based on 3D Skeletal Data: A Review  F Han, B Reily, W Hoff, H Zhang
2016   Deep Learning in robotics: 3D object recognition and modeling human motion  H Porneuf, M Robert, J Zhou
2016   Multiple sclerosis lesion detection and segmentation using a convolutional neural network of 3D patches  S Valverde, M Cabezas, E Roura, S González
2016   Utilizing Depth Information for Emerging 3D Applications  J Xie
2016   3D Human Pose Estimation via Deep Learning from 2D Annotations  E Brau, H Jiang
2016   Generic 3D Convolutional Fusion for image restoration  J Wu, R Timofte, L Van Gool
2016   Robust 3D Organ Localization with Dual Learning Architectures and Fusion  X Lu, D Xu, D Liu
2016   Automatic Slice Identification in 3D Medical Images with a ConvNet Regressor  BD de Vos, MA Viergever, PA de Jong, I Išgum
2016   Three-Dimensional CT Image Segmentation by Combining 2D Fully Convolutional Network with 3D Majority Voting  S Wang, T Hara, H Fujita
2016   Evaluation of a 3D Simulated Practice Learning Environment  TM Connolly, S Farrier, J Lawrie, N Wilson, L Boyle
2016   Automatic Detection of Cerebral Microbleeds from MR Images via 3D Convolutional Neural Networks.  Q Dou, H Chen, L Yu, L Zhao, J Qin, D Wang, V Mok
2016   Unsupervised 3D shape segmentation and co-segmentation via deep learning  Z Shu, C Qi, L Liu, S Xin, C Hu, L Wang, Y Zhang
2016   Unsupervised 3D Local Feature Learning by Circle Convolutional Restricted Boltzmann Machine.  Z Han, Z Liu, J Han, CM Vong, S Bu, X Li
2016   3D Human Pose Estimation: A Review of the Literature and Analysis of Covariates  N Sarafianos, B Boteanu, B Ionescu, IA Kakadiaris
2016   Enhancing Semantic Segmentation for Robotics: The Power of 3D Entangled Forests  D Wolf, J Prankl, M Vincze
2016   3D Shape Retrieval Using a Single Depth Image from Low-cost Sensors  J Feng, Y Wang, SF Chang
2016   Beam Search for Learning a Deep Convolutional Neural Network of 3D Shapes  X Xu, S Todorovic
2016   Integrating Online and Offline 3D Deep Learning for Automated Polyp Detection in Colonoscopy Videos.  L Yu, H Chen, Q Dou, J Qin, PA Heng
2016   3D Mesh Labeling via Deep Convolutional Neural Networks  K Guo, D Zou, X Chen
2016   Viewpoint Invariant 3D Human Pose Estimation with Recurrent Error Feedback  A Haque, B Peng, Z Luo, A Alahi, S Yeung, L Fei
2016   Knowledge Based 3d Building Model Recognition Using Convolutional Neural Networks from LIDAR and Aerial Imageries  F Alidoost, H Arefi
2016   Local shape feature fusion for improved matching, pose estimation and 3D object recognition  AG Buch, HG Petersen, N Krüger
2016   OctNet: Learning Deep 3D Representations at High Resolutions  G Riegler, AO Ulusoys, A Geiger
2016   Monocular Surface Reconstruction Using 3D Deformable Part Models  S Kinauer, M Berman, I Kokkinos
2016   Orientation-boosted Voxel Nets for 3D Object Recognition  N Sedaghat, M Zolfaghari, T Brox
2016   Synthesizing Training Images for Boosting Human 3D Pose Estimation  W Chen, H Wang, Y Li, H Su, D Lischinsk, D Cohen
2016   Online Detection and Classification of Dynamic Hand Gestures With Recurrent 3D Convolutional Neural Network  P Molchanov, X Yang, S Gupta, K Kim, S Tyree, J Kautz
2016   3DMatch: Learning the Matching of Local 3D Geometry in Range Scans  A Zeng, S Song, M Nießner, M Fisher, J Xiao
2016   Using 3D Graphics to Train Object Detection Systems  S Jensen, AL Selvik
2016   A Deep 3D Convolutional Neural Network Based Design for Manufacturability Framework  A Balu, KG Lore, G Young, A Krishnamurthy, S Sarkar
2016   3D Shape Segmentation with Projective Convolutional Networks  E Kalogerakis, M Averkiou, S Maji, S Chaudhuri
2016   Unsupervised Learning of 3D Structure from Images  DJ Rezende, SM Eslami, S Mohamed, P Battaglia
2016   3D Deeply Supervised Network for Automatic Liver Segmentation from CT Volumes  Q Dou, H Chen, Y Jin, L Yu, J Qin, PA Heng
2016   Alzheimer's Disease Diagnostics by a Deeply Supervised Adaptable 3D Convolutional Network  E Hosseini
2016   Alzheimer's Disease Diagnostics by Adaptation of 3D Convolutional Network  E Hosseini
2016   MoCap-guided Data Augmentation for 3D Pose Estimation in the Wild  G Rogez, C Schmid
2016   A Field Model for Repairing 3D Shapes  DT Nguyen, BS Hua, MK Tran, QH Pham, SK Yeung
2016   3D Object Recognition Based on Volumetric Representation Using Convolutional Neural Networks  X Xu, D Corrigan, A Dehghani, S Caulfield, D Moloney
2016   Self Organizing Maps for 3D Face Understanding  JT Starczewski, S Pabiasz, N Vladymyrska
2016   Modeling 2D Appearance Evolution for 3D Object Categorization  HFM Zaki, F Shafait, A Mian
2016   Mental Disease Feature Extraction with MRI by 3D Convolutional Neural Network with Multi-channel Input  L Cao, Z Liu, X He, Y Cao, K Li
2016   3D Human Pose Estimation from a Single Image via Distance Matrix Regression  F Moreno
2016   3D Fully Convolutional Network for Vehicle Detection in Point Cloud  B Li
2016   Perspective transformer nets: Learning single-view 3d object reconstruction without 3d supervision  X Yan, J Yang, E Yumer, Y Guo, H Lee
2016   Face Recognition Using a Unified 3D Morphable Model  G Hu, F Yan, CH Chan, W Deng, W Christmas, J Kittler
2016   Marker-Less 3D Human Motion Capture with Monocular Image Sequence and Height-Maps  Y Du, Y Wong, Y Liu, F Han, Y Gui, Z Wang
2016   Heat Diffusion Long-Short Term Memory Learning for 3D Shape Analysis  F Zhu, J Xie, Y Fang
2016   Deep Learning 3D Shape Surfaces Using Geometry Images  A Sinha, J Bai, K Ramani
2016   Using triplet loss to generate better descriptors for 3D object retrieval  H Deng, L Luo, M Wen, C Zhang
2016   Towards 3D object recognition with contractive autoencoders  B Liu, L Kong, J Zhao, J Wu, Z Tan
2016   Unsupervised 3D Local Feature Learning by Circle Convolutional Restricted Boltzmann Machine  Z Han, Z Liu, J Han, CM Vong, S Bu, X Li
2016   Lung Nodule Detection using 3D Convolutional Neural Networks Trained on Weakly Labeled Data  R Anirudh, JJ Thiagarajan, T Bremer, H Kim
2016   First trial and evaluation of anatomical structure segmentations in 3D CT images based only on deep learning  X Zhou, T Ito, R Takayama, S Wang, T Hara, H Fujita
2016   3D U-Net: Learning Dense Volumetric Segmentation from Sparse Annotation  Ö Çiçek, A Abdulkadir, SS Lienkamp, T Brox
2016   Deep shape-aware descriptor for nonrigid 3D object retrieval  H Ghodrati, AB Hamza
2016   Deep Learning of Local RGB-D Patches for 3D Object Detection and 6D Pose Estimation  W Kehl, F Milletari, F Tombari, S Ilic, N Navab
2016   Multi-view 3D Models from Single Images with a Convolutional Network  M Tatarchenko, A Dosovitskiy, T Brox
2016   Efficient deep learning of 3D structural brain MRIs for manifold learning and lesion segmentation with application to multiple sclerosis  T Brosch
2016   Deep MRI brain extraction: A 3D convolutional neural network for skull stripping  J Kleesiek, G Urban, A Hubert, D Schwarz
2016   3D Fully Convolutional Networks for Intervertebral Disc Localization and Segmentation  H Chen, Q Dou, X Wang, J Qin, JCY Cheng, PA Heng
2016   3D Face Reconstruction by Learning from Synthetic Data  E Richardson, M Sela, R Kimmel
2016   A wearable mobility aid for the visually impaired based on embedded 3D vision and deep learning  M Poggi, S Mattoccia
2016   Multi-view gait recognition using 3D convolutional neural networks  T Wolf, M Babaee, G Rigoll
2016   Learning to Search on Manifolds for 3D Pose Estimation of Articulated Objects  Y Zhang, C Xu, L Cheng
2016   PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation  CR Qi, H Su, K Mo, LJ Guibas
2016   3D Bounding Box Estimation Using Deep Learning and Geometry  A Mousavian, D Anguelov, J Flynn, J Kosecka
2016   A Point Set Generation Network for 3D Object Reconstruction from a Single Image  H Fan, H Su, L Guibas
2016   Siamese Regression Networks with Efficient mid-level Feature Extraction for 3D Object Pose Estimation  A Doumanoglou, V Balntas, R Kouskouridas, TK Kim
2016   A 3D Active Contour Method for Automated Segmentation of the Left Ventricle from Magnetic Resonance Images  M Hajiaghayi, E Groves, H Jafarkhani, A Kheradvar
2016   Structured Prediction of 3D Human Pose with Deep Neural Networks  B Tekin, I Katircioglu, M Salzmann, V Lepetit, P Fua
2016   Recurrent 3D Attentional Networks for End-to-End Active Object Recognition in Cluttered Scenes  M Liu, Y Shi, L Zheng, K Xu
2016   Deep Neural Networks for Fast Segmentation of 3D Medical Images  K Fritscher, P Raudaschl, P Zaffino, MF Spadea
2016   3D Deep Learning for Multi-modal Imaging-Guided Survival Time Prediction of Brain Tumor Patients  D Nie, H Zhang, E Adeli, L Liu, D Shen
2016   3D Simulation for Robot Arm Control with Deep Q-Learning  S James, E Johns
2016   Monocular 3D shape reconstruction using deep neural networks  Q Rao, L Krüger, K Dietmayer
2016   Convolutional Neural Network for 3D object recognition using volumetric representation  X Xu, A Dehghani, D Corrigan, S Caulfield, D Moloney
2016   3D Keypoint Detection Based on Deep Neural Network with Sparse Autoencoder  X Lin, C Zhu, Q Zhang, Y Liu
2016   Single Image 3D Interpreter Network  J Wu, T Xue, JJ Lim, Y Tian, JB Tenenbaum, A Torralba
2016   3D attention-driven depth acquisition for object identification  K Xu, Y Shi, L Zheng, J Zhang, M Liu, H Huang, H Su
2016   Shape2Vec: semantic-based descriptors for 3D shapes, sketches and images  FP Tasse, N Dodgson
2016   Human Pose Estimation in Space and Time using 3D CNN  A Grinciunaite, A Gudi, E Tasli, M Uyl
2016   3D Shape Induction from 2D Views of Multiple Objects  M Gadelha, S Maji, R Wang
2016   DeepShape: Deep-Learned Shape Descriptor for 3D Shape Retrieval  J Xie, G Dai, F Zhu, E Wong, Y Fang
2016   A Deep Learning Approach to the Classification of 3D Models under BIM Environment  L Wang, Z Zhao, X Wu
2016   Representing 3D Shapes based on Implicit Surface Functions Learned From RBF Neural Networks  G Lu, L Ren, A Kolagunda, X Wang, IB Turkbey
2016   Vote3Deep: Fast Object Detection in 3D Point Clouds Using Efficient Convolutional Neural Networks  M Engelcke, D Rao, DZ Wang, CH Tong, I Posner
2016   3D Object Recognition with Convolutional Neural Network  A Garcia
2016   Food Traceability System Based on 3D City Models and Deep Learning  B Mao, J He, J Cao, W Gao, D Pan
2016   Upright Orientation of 3D Shapes with Convolutional Networks  Z Liu, J Zhang, L Liu
2016   Dense 3D face alignment from 2D video for real-time use  LA Jeni, JF Cohn, T Kanade
2016   Coarse-to-Fine Volumetric Prediction for Single-Image 3D Human Pose  G Pavlakos, X Zhou, KG Derpanis, K Daniilidis
2016   Multi-View 3D Object Detection Network for Autonomous Driving  X Chen, H Ma, J Wan, B Li, T Xia
2016   ZNN i: maximizing the inference throughput of 3D convolutional networks on CPUs and GPUs  A Zlateski, K Lee, HS Seung
2016   Automatic Indoor 3D Scene Classification using RGB-D data  N de Wolf
2016   Automatic 3D liver segmentation based on deep learning and globally optimized surface evolution  P Hu, F Wu, J Peng, P Liang, D Kong
2016   Beyond Frame-level CNN: Saliency-aware 3D CNN with LSTM for Video Action Recognition  J Song, H Shen
2016   Multi-level Contextual 3D CNNs for False Positive Reduction in Pulmonary Nodule Detection  Q Dou, H Chen, L Yu, J Qin, PA Heng
2015   Longitudinal Multiple Sclerosis Lesion Segmentation Using 3D Convolutional Neural Networks  S Vaidya, A Chunduru, R Muthuganapathy
2015   Deep Belief Network Based 3D Models Classification in Building Information Modeling.  L Wang, N XU
2015   Inferring 3D Object Pose in RGB-D Images  S Gupta, P Arbeláez, R Girshick, J Malik
2015   Analysis and synthesis of 3D shape families via deep‐learned generative models of surfaces  H Huang, E Kalogerakis, B Marlin
2015   Kinematic-based Markerless Human Tracking in 3D Probabilistic Occupancy Grids  R Andrade de Bem
2015   Accurate 3D Human Pose Recognition via Fusion of Depth and Motion Sensors  SB Nam, SU Park, JH Park, MDZ Uddin, TS Kim
2015   ZNN-A Fast and Scalable Algorithm for Training 3D Convolutional Networks on Multi-Core and Many-Core Shared Memory Machines  A Zlateski, K Lee, HS Seung
2015   Dense 3D Face Alignment from 2D Videos in Real-Time  LA Jeni, JF Cohn, T Kanade
2015   Learning Descriptors for Object Recognition and 3D Pose Estimation  P Wohlhart, V Lepetit
2015   Sketch-based 3D Shape Retrieval using Convolutional Neural Networks  F Wang, L Kang, Y Li
2015   Building Proteins in a Day: Efficient 3D Molecular Reconstruction  MA Brubaker, A Punjani, DJ Fleet
2015   Robobarista: Object Part based Transfer of Manipulation Trajectories from Crowd-sourcing in 3D Pointclouds  J Sung, SH Jin, A Saxena
2015   Stacked Auto-encoders for Classification of 3D Spine Models in Adolescent Idiopathic Scoliosis  WE Thong, H Labelle, J Shen, S Parent, S Kadoury
2015   Predicting Alzheimer's disease: a neuroimaging study with 3D convolutional neural networks  A Payan, G Montana
2015   VoxNet: A 3D Convolutional Neural Network for Real-Time Object Recognition  D Maturana, S Scherer
2015   Maximum-Margin Structured Learning with Deep Networks for 3D Human Pose Estimation  S Li, W Zhang, AB Chan
2015   Fast Semantic Segmentation of 3D Point Clouds using a Dense CRF with Learned Parameters  D Wolf, J Prankl, M Vincze
2015   Efficient Monocular Pose Estimation for Complex 3D Models  A Rubio, M Villamizar, L Ferraz, A Penate
2015   Towards a pedagogy of comparative visualization in 3D design disciplines  J Birt, J Nelson, D Hovorka
2015   Predicting People's 3D Poses from Short Sequences  B Tekin, X Sun, X Wang, V Lepetit, P Fua
2015   Towards 3D Object Detection With Bimodal Deep Boltzmann Machines Over RGBD Imagery  W Liu, R Ji, S Li
2015   Computational imaging: Machine learning for 3D microscopy  L Waller, L Tian
2015   Hypergraph Regularized Autoencoder for Image-Based 3D Human Pose Recovery  C Hong, X Chen, X Wang, C Tang
2015   An Efficient and Effective Convolutional Auto-Encoder Extreme Learning Machine Network for 3D Feature Learning  Y Wang, Z Xie, K Xu, Y Dou, Y Lei
2015   Fitting 3D Morphable Models using Local Features  P Huber, ZH Feng, W Christmas, J Kittler, M Rätsch
2015   Convolutional deep learning for 3D object retrieval  W Nie, Q Cao, A Liu, Y Su
2015   Hypergraph Regularized Autoencoder for 3D Human Pose Recovery  C Hong, J Yu, Y Jane, X Chen
2015   Deep Belief Network Based 3D Models Classification in Building Information Modeling  L Wang, Z Zhao, N Xu
2015   3D Pictorial Structures Revisited: Multiple Human Pose Estimation  V Belagiannis, S Amin, M Andriluka, B Schiele
2015   3D ShapeNets: A Deep Representation for Volumetric Shapes  Z Wu, S Song, A Khosla, F Yu, L Zhang, X Tang, J Xiao
2015   3D Texture Recognition for RGB-D Images  G Zhong, X Mao, Y Shi, J Dong
2015   Lablife3D–A Science-Based 3D Virtual Learning Environment  P Qvist
2015   Globally Tuned Cascade Pose Regression via Back Propagation with Application in 2D Face Pose Estimation and Heart Segmentation in 3D CT Images  P Sun, JK Min, G Xiong
2015   Projective Feature Learning for 3D Shapes with Multi‐View Depth Images  Z Xie, K Xu, W Shan, L Liu, Y Xiong, H Huang
2015   A Deep Structured Model with Radius-Margin Bound for 3D Human Activity Recognition  L Lin, K Wang, W Zuo, M Wang, J Luo, L Zhang
2015   3D Object Understanding with 3D Convolutional Neural Networks  B Leng, Y Liu, K Yu, X Zhang, Z Xiong
2015   A lighting robust fitting approach of 3D morphable model for face reconstruction  M Ma, S Peng, X Hu
2015   Representing 3D models for alignment and recognition  M Aubry
2015   Sign Language Recognition using 3D convolutional neural networks  J Huang, W Zhou, H Li, W Li
2015   3D Dynamic Facial Expression Recognition using Low-Resolution Videos  J Shao, I Gori, S Wan, JK Aggarwal
2015   Hybrid One-Shot 3D Hand Pose Estimation by Exploiting Uncertainties  G Poier, K Roditakis, S Schulter, D Michel, H Bischof
2015   3D Convolutional Neural Networks for Landing Zone Detection from LiDAR  D Maturana, S Scherer
2015   Multi-view Convolutional Neural Networks for 3D Shape Recognition  H Su, S Maji, E Kalogerakis, E Learned
2015   Iterative 3D shape classification by online metric learning  M Song, Z Sun, K Liu, X Lang
2015   Weakly-supervised disentangling with recurrent transformations for 3d view synthesis  J Yang, SE Reed, MH Yang, H Lee
2015   Learning to Reconstruct 3D Structure from Object Motion  W Liu, H Dou, X Wu
2015   Sparseness Meets Deepness: 3D Human Pose Estimation from Monocular Video  X Zhou, M Zhu, S Leonardos, K Derpanis, K Daniilidis
2015   Deep Representation of Facial Geometric and Photometric Attributes for Automatic 3D Facial Expression Recognition  H Li, J Sun, D Wang, Z Xu, L Chen
2015   Deep Sliding Shapes for Amodal 3D Object Detection in RGB-D Images  S Song, J Xiao
2015   3D ShapeNets: A Deep Representation for Volumetric Shape Modeling  Z Wu, S Song, A Khosla, F Yu, L Zhang, X Tang, J Xiao
2014   TriViews: A general framework to use 3D depth data effectively for action recognition  W Chen, G Guo
2014   Indirect shape analysis for 3D shape retrieval  Z Liu, C Xie, S Bu, X Wang, J Han, H Lin, H Zhang
2014   Deep Learning Representation using Autoencoder for 3D Shape Retrieval  Z Zhu, X Wang, S Bai, C Yao, X Bai
2014   3D object retrieval with stacked local convolutional autoencoder  B Leng, S Guo, X Zhang, Z Xiong
2014   Combining heterogenous features for 3D hand-held object recognition  X Lv, S Wang, X Li, S Jiang
2014   High-definition 3D Image Processing Technology for Ultrasound Diagnostic Scanners  M Ogino, T Shibahara, Y Noguchi, T Tsujita
2014   A comparison of 3D shape retrieval methods based on a large-scale benchmark supporting multimodal queries  B Li, Y Lu, C Li, A Godil, T Schreck, M Aono
2014   Efficient Training of Convolutional Deep Belief Networks in the Frequency Domain for Application to High-Resolution 2D and 3D Images  T Brosch, R Tam
2014   Local deep feature learning framework for 3D shape  S Bu, P Han, Z Liu, J Han
2014   Supervised feature learning via ℓ2-norm regularized logistic regression for 3D object recognition  F Zou, Y Wang, Y Yang, K Zhou, Y Chen, J Song
2014   A 3D model recognition mechanism based on deep boltzmann machines  B Leng, X Zhang, M Yao, Z Xiong
2014   3D Human Pose Estimation from Monocular Images with Deep Convolutional Neural Network  S Li, AB Chan
2014   Deep Learning For Objective Quality Assessment Of 3D Images  DC Mocanu, G Exarchakos, A Liotta