Video Propagation Networks

A fast, generic and end-to-end trainable approach for propagating information across video frames.

V. Jampani, R. Gadde and P. V. Gehler

Computer Vision and Pattern Recognition, CVPR’17

pdf / supplementary / project page / code (github)

Efficient 2D and 3D Facade Segmentation using Auto-Context

A fast auto-context based facade segmentation approach for segmenting both 2D images and 3D point clouds.

R. Gadde*, V. Jampani*, R. Marlet and P. V. Gehler (*equal contribution)

Pattern Analysis and Machine Intelligence, PAMI’17

arXiv pre-print / code (bitbucket)

Superpixel Convolutional Networks using Bilateral Inceptions

An inception style fast bilateral filtering module that can be used in existing image segmentation CNNs.

R. Gadde*, V. Jampani*, M. Kiefel, D. Kappler and P. V. Gehler (*equal contribution)

European Conference on Computer Vision, ECCV’16

pdf / supplementary / project page / code (github) / poster

Learning Sparse High-Dimensional Filters: Image Filtering, Dense CRFs and Bilateral Neural Networks

Parameterization and learning of sparse high-dimensional filters with wide range of applications in image filtering, CRFs and neural networks.

V. Jampani, M. Kiefel and P. V. Gehler

Computer Vision and Pattern Recognition, CVPR’16

pdf / supplementary / project page / code (github) / poster

Optical Flow with Semantic Segmentation and Localized Layers

An approach for incorporating semantics of the scene for better optical flow estimation.

L. Sevilla, D. Sun, V. Jampani and M. J. Black

Computer Vision and Pattern Recognition, CVPR’16

pdf / video / project page / code (zip)

Permutohedral Lattice CNNs

CNNs with high-dimensional permutohedral kernels instead of standard spatial kernels.

M. Kiefel, V. Jampani and P. V. Gehler

International Conference on Learning Representations, ICLR Workshops’15


Consensus Message Passing for Layered Graphical Models

Improved message passing inference in layered vision models that can be used in probabilistic programs like Infer.NET.

V. Jampani*, S. M. A. Eslami*, D. Tarlow, P. Kohli and J. Winn (*equal contribution)

Artificial Intelligence and Statistics, AISTATS’15

pdf / supplementary / arXiv

Efficient Facade Segmentation using Auto-Contex

A state-of-the-art approach for facade segmentation that is faster than most existing approaches.

V. Jampani*, R. Gadde* and P. V. Gehler (*equal contribution)

Winter Conference on Applications of Computer Vision, WACV’15

pdf / supplementary / code (bitbucket) / project page

The Informed Sampler: A Discriminative Approach to Bayesian Inference in Generative Computer Vision Models

A generic MCMC sampling technique for inverting graphic engines.

V. Jampani, S. Nowozin, M. Loper and P. V. Gehler

Computer Vision and Image Understanding Journal, CVIU’15

pdf / arXiv

Assessment of Computational Visual Attention Models on Medical Images

Analysis and extensions of visual attention models for medical image perception.

V. Jampani, Ujjwal, J. Sivaswamy and V. Vaidya

Indian Conference on Computer Vision, Graphics and Image Processing, ICVGIP’12

pdf / online

Role of Expertise and Contralateral Symmetry in the Diagnosis of Pneumoconiosis: An Experimental Study

An experimental eye-tracking study on X-ray image perception, with observers ranging from novices to experienced radiologists.

V. Jampani, V. Vaidya, J. Sivaswamy and K. L. Tourani

SPIE, Medical Imaging’11


ImageFlow: Streaming Image Search

A novel image search user interface that explores a different alternative to the traditional grid interfaces.

V. Jampani, G. Ramos and S. Drucket

Microsoft Research Technial Report, Redmond, MSR-TR-2010-148

pdf / news article