Profile picture of Kiran Varanasi

Kiran Varanasi

E-Mail: kiran.varanasi@dfki.de
Position: Former Employee
Phone: +49 631 20575-3690
14 Publications by Kiran Varanasi:

Fusion of Keypoint Tracking and Facial Landmark Detection for Real-Time Head Pose Estimation
Jilliam Maria Diaz Barros, Bruno Mirbach, Frederic Garcia, Kiran Varanasi, Didier Stricker
IEEE Winter Conference on Applications of Computer Vision (WACV-18), March 12-15, Lake Tahoe, NV/CA, USA
Details | Link 1 | Link 2 | Link 3 | Link 4 | Link 5 | Link 6

3D Shape Processing by Convolutional Denoising Autoencoders on Local Patches
Kripasindhu Sarkar, Kiran Varanasi, Didier Stricker
IEEE Winter Conference on Applications of Computer Vision (WACV-18), March 12-15, Lake Tahoe, NV, USA
Details | Link 1

Combined Framework for Real-Time Head Pose Estimation using Facial Landmark Detection and Salient Feature Tracking
Jilliam Maria Diaz Barros, Frederic Garcia, Bruno Mirbach, Kiran Varanasi, Didier Stricker
International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP-2018), January 27-29, Funchal, Madeira, Portugal
Details | Link 1 | Link 2

Real-Time Head Pose Estimation by Tracking and Detection of Keypoints and Facial Landmarks
Jilliam Maria Diaz Barros, Bruno Mirbach, Frederic Garcia, Kiran Varanasi, Didier Stricker

Details | Link 1 | Link 2

Denoising of point-clouds based on structured dictionary learning
Kripasindhu Sarkar, Florian Bernard, Kiran Varanasi, Christian Theobalt, Didier Stricker
Eurographics Symposium on Geometry Processing (SGP-2018), July 7-11, Paris, France
Details | Link 1

Learning 3D Shapes as Multi-Layered Height-maps using 2D Convolutional Networks
Kripasindhu Sarkar, Basavaraj Hampiholi, Kiran Varanasi, Didier Stricker
Computer Vision -- ECCV 2018 European Conference on Computer Vision (ECCV-2018), September 8-14, Munich, Germany
Details

Learning 3D Shapes as Multi-Layered Height-maps using 2D Convolutional Networks
Kripasindhu Sarkar, Basavaraj Hampiholi, Kiran Varanasi, Didier Stricker
European Conference on Computer Vision (ECCV-2018), September 8-14, Munich, Germany
Details | Link 1

HDM-Net: Monocular Non-Rigid 3D Reconstruction with Learned Deformation Model
Vladislav Golyanik, Soshi Shimada, Kiran Varanasi, Didier Stricker
EuroVR (EuroVR)
Details | Link 1

DeepHPS: End-to-end Estimation of 3D Hand Pose and Shape by Learning from Synthetic Depth
Muhammad Jameel Nawaz Malik, Ahmed Elhayek, Fabrizio Nunnari, Kiran Varanasi, Kiarash Tamaddon, Alexis Heloir, Didier Stricker
International Conference on 3D Vision (3DVision-2018), September 5-8, Verona, Italy
Details | Link 1 | Link 2

Structured Low-Rank Matrix Factorization for Point-Cloud Denoising
Kripasindhu Sarkar, Florian Bernard, Kiran Varanasi, Christian Theobalt, Didier Stricker
International Conference on 3D Vision (3DVision-2018), September 5-8, Verona, Italy
Details | Link 1

CNN-based Patch Matching for Optical Flow with Thresholded Hinge Embedding Loss
Christian Bailer, Kiran Varanasi, Didier Stricker
International Conference on Computer Vision and Pattern Recognition (CVPR-2017), July 21-26, Honolulu, Hawaii, USA
Details | Link 1

Trained 3D Models for CNN based Object Recognition
Kripasindhu Sarkar, Kiran Varanasi, Didier Stricker
Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 5: VISAPP, (VISIGRAPP 2017) International Conference on Computer Vision Theory and Applications (VISAPP-17)
Details | Link 1

Fast Dense Feature Extraction with CNNs that have Pooling or Striding Layers
Christian Bailer, Tewodros A. Habtegebrial, Kiran Varanasi, Didier Stricker
BMVC British Machine Vision Conference (BMVC-2017), September 4-7, London, United Kingdom
Details | Link 1 | Link 2

Learning quadrangulated patches for 3D shape parameterization and completion
Kripasindhu Sarkar, Kiran Varanasi, Didier Stricker
International Conference on 3D Vision 2017 International Conference on 3DVision (3DV-2017), 5th, October 10-12, Qingdao, China
Details | Link 1