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ORCIDKiran Varanasi
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2010 – 2019
- 2019
[c24]Jilliam María Díaz Barros, Vladislav Golyanik, Kiran Varanasi, Didier Stricker
:
Face It!: A Pipeline for Real-Time Performance-Driven Facial Animation. ICIP 2019: 2209-2213- [c23]Tewodros Habtegebrial, Kiran Varanasi, Christian Bailer, Didier Stricker:
Fast View Synthesis with Deep Stereo Vision. VISIGRAPP (5: VISAPP) 2019: 792-799 - [i9]Kripasindhu Sarkar, Kiran Varanasi, Didier Stricker:
Learning Quadrangulated Patches For 3D Shape Processing. CoRR abs/1903.10885 (2019) - [i8]Selim Arikan, Kiran Varanasi, Didier Stricker:
Surface Defect Classification in Real-Time Using Convolutional Neural Networks. CoRR abs/1904.04671 (2019) - 2018
- [c22]Jameel Malik, Ahmed Elhayek, Fabrizio Nunnari, Kiran Varanasi, Kiarash Tamaddon, Alexis Héloir, Didier Stricker:
DeepHPS: End-to-end Estimation of 3D Hand Pose and Shape by Learning from Synthetic Depth. 3DV 2018: 110-119 - [c21]Kripasindhu Sarkar, Florian Bernard, Kiran Varanasi, Christian Theobalt, Didier Stricker:
Structured Low-Rank Matrix Factorization for Point-Cloud Denoising. 3DV 2018: 444-453 - [c20]Kripasindhu Sarkar, Basavaraj Hampiholi, Kiran Varanasi, Didier Stricker:
Learning 3D Shapes as Multi-layered Height-Maps Using 2D Convolutional Networks. ECCV (16) 2018: 74-89 - [c19]Vladislav Golyanik, Soshi Shimada, Kiran Varanasi, Didier Stricker:
HDM-Net: Monocular Non-rigid 3D Reconstruction with Learned Deformation Model. EuroVR 2018: 51-72 - [c18]Jilliam María Díaz Barros, Bruno Mirbach, Frederic Garcia, Kiran Varanasi, Didier Stricker:
Real-Time Head Pose Estimation by Tracking and Detection of Keypoints and Facial Landmarks. VISIGRAPP (Revised Selected Papers) 2018: 326-349 - [c17]Kripasindhu Sarkar, Florian Bernard, Kiran Varanasi, Christian Theobalt, Didier Stricker:
Denoising of Point-clouds Based on Structured Dictionary Learning. SGP (Posters) 2018: 5-6 - [c16]Jilliam María Díaz Barros, Frederic Garcia, Bruno Mirbach, Kiran Varanasi, Didier Stricker:
Combined Framework for Real-time Head Pose Estimation using Facial Landmark Detection and Salient Feature Tracking. VISIGRAPP (5: VISAPP) 2018: 123-133 - [c15]Gaurav Mishra, Saurabh Saini, Kiran Varanasi, P. J. Narayanan:
Human Shape Capture and Tracking at Home. WACV 2018: 390-399 - [c14]Kripasindhu Sarkar, Kiran Varanasi, Didier Stricker:
3D Shape Processing by Convolutional Denoising Autoencoders on Local Patches. WACV 2018: 1925-1934 - [c13]Jilliam María Díaz Barros, Bruno Mirbach, Frederic Garcia, Kiran Varanasi, Didier Stricker:
Fusion of Keypoint Tracking and Facial Landmark Detection for Real-Time Head Pose Estimation. WACV 2018: 2028-2037 - [i7]Vladislav Golyanik, Soshi Shimada, Kiran Varanasi, Didier Stricker:
HDM-Net: Monocular Non-Rigid 3D Reconstruction with Learned Deformation Model. CoRR abs/1803.10193 (2018) - [i6]Tewodros Habtegebrial, Kiran Varanasi, Christian Bailer, Didier Stricker:
Fast View Synthesis with Deep Stereo Vision. CoRR abs/1804.09690 (2018) - [i5]Christian Bailer, Tewodros Habtegebrial, Kiran Varanasi, Didier Stricker:
Fast Feature Extraction with CNNs with Pooling Layers. CoRR abs/1805.03096 (2018) - [i4]Kripasindhu Sarkar, Basavaraj Hampiholi, Kiran Varanasi, Didier Stricker:
Learning 3D Shapes as Multi-Layered Height-maps using 2D Convolutional Networks. CoRR abs/1807.08485 (2018) - [i3]Jameel Malik, Ahmed Elhayek, Fabrizio Nunnari, Kiran Varanasi, Kiarash Tamaddon, Alexis Héloir, Didier Stricker:
DeepHPS: End-to-end Estimation of 3D Hand Pose and Shape by Learning from Synthetic Depth. CoRR abs/1808.09208 (2018) - 2017
- [c12]Kripasindhu Sarkar, Kiran Varanasi, Didier Stricker:
Learning Quadrangulated Patches for 3D Shape Parameterization and Completion. 3DV 2017: 383-392 - [c11]Christian Bailer, Tewodros Habtegebrial, Kiran Varanasi, Didier Stricker:
Fast dense feature extraction with convolutional neural networks that have pooling or striding layers. BMVC 2017 - [c10]Christian Bailer, Kiran Varanasi, Didier Stricker:
CNN-Based Patch Matching for Optical Flow with Thresholded Hinge Embedding Loss. CVPR 2017: 2710-2719 - [c9]Kripasindhu Sarkar, Kiran Varanasi, Didier Stricker:
Trained 3D Models for CNN based Object Recognition. VISIGRAPP (5: VISAPP) 2017: 130-137 - [i2]Kripasindhu Sarkar, Kiran Varanasi, Didier Stricker:
Learning quadrangulated patches for 3D shape parameterization and completion. CoRR abs/1709.06868 (2017) - 2016
- [j7]Pablo Garrido, Michael Zollhöfer, Dan Casas, Levi Valgaerts, Kiran Varanasi, Patrick Pérez, Christian Theobalt:
Reconstruction of Personalized 3D Face Rigs from Monocular Video. ACM Trans. Graph. 35(3): 28:1-28:15 (2016) - [i1]Christian Bailer, Kiran Varanasi, Didier Stricker:
CNN based Patch Matching for Optical Flow with Thresholded Hinge Loss. CoRR abs/1607.08064 (2016) - 2015
- [j6]Pablo Garrido, Levi Valgaerts, H. Sarmadi, Ingmar Steiner, Kiran Varanasi, Patrick Pérez, Christian Theobalt:
VDub: Modifying Face Video of Actors for Plausible Visual Alignment to a Dubbed Audio Track. Comput. Graph. Forum 34(2): 193-204 (2015) - [p1]Kiran Varanasi, Edilson de Aguiar:
Rigging Captured Meshes. Digital Representations of the Real World 2015: 195-209 - 2014
- [j5]Helge Rhodin, James Tompkin, Kwang In Kim, Kiran Varanasi, Hans-Peter Seidel, Christian Theobalt:
Interactive motion mapping for real-time character control. Comput. Graph. Forum 33(2): 273-282 (2014) - [j4]Thomas Neumann, Kiran Varanasi, Christian Theobalt, Marcus A. Magnor, Markus Wacker:
Compressed Manifold Modes for Mesh Processing. Comput. Graph. Forum 33(5): 35-44 (2014) - 2013
- [j3]Guannan Li, Chenglei Wu, Carsten Stoll, Yebin Liu, Kiran Varanasi, Qionghai Dai, Christian Theobalt:
Capturing Relightable Human Performances under General Uncontrolled Illumination. Comput. Graph. Forum 32(2): 275-284 (2013) - [j2]Thomas Neumann, Kiran Varanasi, Nils Hasler, Markus Wacker, Marcus A. Magnor, Christian Theobalt:
Capture and Statistical Modeling of Arm-Muscle Deformations. Comput. Graph. Forum 32(2): 285-294 (2013) - [j1]Thomas Neumann, Kiran Varanasi, Stephan Wenger, Markus Wacker, Marcus A. Magnor, Christian Theobalt:
Sparse localized deformation components. ACM Trans. Graph. 32(6): 179:1-179:10 (2013) - [c8]Nadia Robertini, Thomas Neumann, Kiran Varanasi, Christian Theobalt:
Capture of arm-muscle deformations using a depth-camera. CVMP 2013: 12:1-12:10 - 2012
- [c7]Michal Richter, Kiran Varanasi, Nils Hasler, Christian Theobalt:
Real-Time Reshaping of Humans. 3DIMPVT 2012: 340-347 - [c6]Chenglei Wu, Kiran Varanasi, Christian Theobalt:
Full Body Performance Capture under Uncontrolled and Varying Illumination: A Shading-Based Approach. ECCV (4) 2012: 757-770 - [c5]Thomas Neumann, Markus Wacker, Kiran Varanasi, Christian Theobalt, Marcus A. Magnor:
High detail marker based 3D reconstruction by enforcing multiview constraints. SIGGRAPH Posters 2012: 59 - 2011
- [c4]Chenglei Wu, Kiran Varanasi, Yebin Liu, Hans-Peter Seidel, Christian Theobalt:
Shading-based dynamic shape refinement from multi-view video under general illumination. ICCV 2011: 1108-1115 - 2010
- [b1]Kiran Varanasi:
Modélisation Spatio-Temporelle des scènes dynamiques 3D à partir de données visuelles. (Spatio Temporal Modeling of Dynamic 3D Scenes From Visual Data). Grenoble Alpes University, France, 2010
2000 – 2009
- 2009
- [c3]Andrei Zaharescu, Edmond Boyer, Kiran Varanasi, Radu Horaud:
Surface feature detection and description with applications to mesh matching. CVPR 2009: 373-380 - 2008
- [c2]Kiran Varanasi, Andrei Zaharescu, Edmond Boyer, Radu Horaud:
Temporal Surface Tracking Using Mesh Evolution. ECCV (2) 2008: 30-43 - 2005
- [c1]Kiran Varanasi:
Computer graphics as a space journey and as a murder mystery. SIGGRAPH Educators Program 2005: 20
Coauthor Index
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