Vibhav Vineet

发表

PoseField: An Efficient Mean-Field Based Method for Joint Estimation of Human Pose, Segmentation, and Depth

Vibhav Vineet, Glenn Sheasby, Jonathan Warrell, 2013, EMMCVPR.

Prediction of Object Geometry from Acoustic Scattering Using Convolutional Neural Networks pdf

Ziqi Fan, Vibhav Vineet, Chenshen Lu, 2020, ArXiv.

Incremental dense semantic stereo fusion for large-scale semantic scene reconstruction

Patrick Pérez, Olaf Kähler, Matthias Nießner, 2015, 2015 IEEE International Conference on Robotics and Automation (ICRA).

Privacy-Preserving Action Recognition Using Coded Aperture Videos

Vibhav Vineet, Sing Bing Kang, Sudipta N. Sinha, 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

A Tiered Move-making Algorithm for General Non-submodular Pairwise Energies pdf

Vibhav Vineet, Jonathan Warrell, Philip H. S. Torr, 2014, ArXiv.

CUDA cuts: Fast graph cuts on the GPU

P. J. Narayanan, Vibhav Vineet, P J Narayanan, 2008, 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops.

Large Graph Algorithms for Massively Multithreaded Architectures

P. J. Narayanan, Vibhav Vineet, Pawan Harish, 2009 .

Filter-Based Mean-Field Inference for Random Fields with Higher-Order Terms and Product Label-Spaces

Vibhav Vineet, Jonathan Warrell, Philip H. S. Torr, 2012, International Journal of Computer Vision.

Higher Order Priors for Joint Intrinsic Image, Objects, and Attributes Estimation

Carsten Rother, Vibhav Vineet, Philip H. S. Torr, 2013, NIPS.

Deep Depth Prior for Multi-View Stereo pdf

Larry S. Davis, Vibhav Vineet, Neel Joshi, 2020, ArXiv.

The Semantic Paintbrush

Matthias Nießner, Vibhav Vineet, Shahram Izadi, 2015, International Conference on Human Factors in Computing Systems.

Live Reconstruction of Large-Scale Dynamic Outdoor Worlds pdf

Vibhav Vineet, Ondrej Miksik, 2019, CVPR Workshops.

Dense Semantic Image Segmentation with Objects and Attributes

Carsten Rother, Vibhav Vineet, Jonathan Warrell, 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.

Solving Multilabel MRFs Using Incremental alpha-Expansion on the GPUs

P. J. Narayanan, Vibhav Vineet, P J Narayanan, 2009, ACCV.

RANP: Resource Aware Neuron Pruning at Initialization for 3D CNNs

Vibhav Vineet, Zhiwei Xu, Thalaiyasingam Ajanthan, 2020, 2020 International Conference on 3D Vision (3DV).

The Visual Object Tracking VOT2013 Challenge Results

Michael Felsberg, Seunghoon Hong, Bohyung Han, 2013, 2013 IEEE International Conference on Computer Vision Workshops.

Learning Visuomotor Policies for Aerial Navigation Using Cross-Modal Representations

Ashish Kapoor, Sebastian Scherer, Vibhav Vineet, 2019 .

Dense Monocular Depth Estimation in Complex Dynamic Scenes

Vladlen Koltun, Vibhav Vineet, Qifeng Chen, 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Playing for Data: Ground Truth from Computer Games pdf

Vladlen Koltun, Vibhav Vineet, Stefan Roth, 2016, ECCV.

Recognition, reorganisation, reconstruction and reinteraction for scene understanding

Vibhav Vineet, Vibhav Vineet, 2014 .

Depth Completion Using a View-constrained Deep Prior

Larry S. Davis, Vibhav Vineet, Neel Joshi, 2020, 2020 International Conference on 3D Vision (3DV).

SemanticPaint

Matthias Nießner, David Kim, Antonio Criminisi, 2015, ACM Trans. Graph..

Human Instance Segmentation from Video using Detector-based Conditional Random Fields

Vibhav Vineet, Jonathan Warrell, Philip H. S. Torr, 2011, BMVC.

Filter-Based Mean-Field Inference for Random Fields with Higher-Order Terms and Product Label-Spaces

Vibhav Vineet, Jonathan Warrell, Philip H. S. Torr, 2012, ECCV.

Conditional Random Fields as Recurrent Neural Networks

Vibhav Vineet, Philip H. S. Torr, Chang Huang, 2015, 2015 IEEE International Conference on Computer Vision (ICCV).

Efficient Salient Region Detection with Soft Image Abstraction

Vibhav Vineet, Jonathan Warrell, Ming-Ming Cheng, 2013, 2013 IEEE International Conference on Computer Vision.

SemanticPaint: interactive segmentation and learning of 3D world

Matthias Nießner, David Kim, Antonio Criminisi, 2015, SIGGRAPH Talks.

AutoSimulate: (Quickly) Learning Synthetic Data Generation

Vibhav Vineet, Philip H. S. Torr, Harkirat Singh Behl, 2020, ECCV.

Learning Controls Using Cross-Modal Representations: Bridging Simulation and Reality for Drone Racing pdf

Ashish Kapoor, Vibhav Vineet, Sebastian Scherer, 2019, ArXiv.

Fast Graph Cuts for Computer Vision

P. J. Narayanan, Vibhav Vineet, Timo Stich, 2011 .

ImageSpirit: Verbal Guided Image Parsing

Vibhav Vineet, Jonathan Warrell, Philip H. S. Torr, 2013, ACM Trans. Graph..

Improved Initialization and Gaussian Mixture Pairwise Terms for Dense Random Fields with Mean-field Inference

Vibhav Vineet, Jonathan Warrell, Philip H. S. Torr, 2012, BMVC.

Fast Minimum Spanning Tree Computation

P. J. Narayanan, Vibhav Vineet, Pawan Harish, 2012 .

Incremental dense multi-modal 3D scene reconstruction

Patrick Pérez, Vibhav Vineet, Philip H. S. Torr, 2015, 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Fast Acoustic Scattering Using Convolutional Neural Networks

Ziqi Fan, Vibhav Vineet, Nikunj Raghuvanshi, 2020, ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Struck: Structured Output Tracking with Kernels

Vibhav Vineet, Philip H. S. Torr, Ming-Ming Cheng, 2016, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Photorealistic Image Synthesis for Object Instance Detection

Vibhav Vineet, Sudipta N. Sinha, Ran Gal, 2019, 2019 IEEE International Conference on Image Processing (ICIP).

Feature Space Optimization for Semantic Video Segmentation

Vladlen Koltun, Vibhav Vineet, Abhijit Kundu, 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Distributed Non-convex ADMM-based inference in large-scale random fields

Patrick Pérez, Vibhav Vineet, Philip H. S. Torr, 2014, BMVC.

A tiered move-making algorithm for general pairwise MRFs

Vibhav Vineet, Jonathan Warrell, Philip H. S. Torr, 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.

Distributed ADMM-based inference in large-scale random fields

Patrick Pérez, Vibhav Vineet, Ondrej Miksik, 2014, British Machine Vision Conference.

The Semantic Paintbrush: Interactive 3D Mapping and Recognition in Large Outdoor Spaces

Patrick Pérez, Matthias Nießner, Vibhav Vineet, 2015, CHI.

3DB: A Framework for Debugging Computer Vision Models pdf

Ashish Kapoor, Aleksander Madry, Vibhav Vineet, 2021, NeurIPS.

CausalCity: Complex Simulations with Agency for Causal Discovery and Reasoning pdf

Daniel McDuff, Ashish Kapoor, Kwanghoon Sohn, 2021, CLeaR.

Prediction of Object Geometry from Acoustic Scattering Using Convolutional Neural Networks

Vibhav Vineet, Kyla McMullen, Ziqi Fan, 2021, ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Taskography: Evaluating robot task planning over large 3D scene graphs

Liam Paull, Vibhav Vineet, Krishna Murthy Jatavallabhula, 2022, CoRL.

Robust Contrastive Learning against Noisy Views

R Devon Hjelm, Antonio Torralba, Vibhav Vineet, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Learning to Align Sequential Actions in the Wild pdf

Pascal Fua, Marc Pollefeys, Vibhav Vineet, 2021, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).