Vibhav Vineet

According to our database1, Vibhav Vineet authored at least 55 papers between 2008 and 2022.

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Bibliography

2022
Neural-Sim: Learning to Generate Training Data with NeRF.
CoRR, 2022

Scaling Novel Object Detection with Weakly Supervised Detection Transformers.
CoRR, 2022

Multi-modal Robustness Analysis Against Language and Visual Perturbations.
CoRR, 2022

Large-scale Robustness Analysis of Video Action Recognition Models.
CoRR, 2022

DALL-E for Detection: Language-driven Context Image Synthesis for Object Detection.
CoRR, 2022

Missingness Bias in Model Debugging.
CoRR, 2022

Inferring Articulated Rigid Body Dynamics from RGBD Video.
CoRR, 2022

One Network Doesn't Rule Them All: Moving Beyond Handcrafted Architectures in Self-Supervised Learning.
CoRR, 2022

Robust Contrastive Learning against Noisy Views.
CoRR, 2022

CausalCity: Complex Simulations with Agency for Causal Discovery and Reasoning.
Proceedings of the 1st Conference on Causal Learning and Reasoning, 2022

Image Retrieval from Contextual Descriptions.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021
Learning to Align Sequential Actions in the Wild.
CoRR, 2021

3DB: A Framework for Debugging Computer Vision Models.
CoRR, 2021

Prediction of Object Geometry from Acoustic Scattering Using Convolutional Neural Networks.
Proceedings of the IEEE International Conference on Acoustics, 2021

Taskography: Evaluating robot task planning over large 3D scene graphs.
Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

2020
Prediction of Object Geometry from Acoustic Scattering Using Convolutional Neural Networks.
CoRR, 2020

Deep Depth Prior for Multi-View Stereo.
CoRR, 2020

Learning Visuomotor Policies for Aerial Navigation Using Cross-Modal Representations.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

Fast Acoustic Scattering Using Convolutional Neural Networks.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

AutoSimulate: (Quickly) Learning Synthetic Data Generation.
Proceedings of the Computer Vision - ECCV 2020, 2020

RANP: Resource Aware Neuron Pruning at Initialization for 3D CNNs.
Proceedings of the 8th International Conference on 3D Vision, 2020

Depth Completion Using a View-constrained Deep Prior.
Proceedings of the 8th International Conference on 3D Vision, 2020

2019
Learning Controls Using Cross-Modal Representations: Bridging Simulation and Reality for Drone Racing.
CoRR, 2019

Photorealistic Image Synthesis for Object Instance Detection.
Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

Privacy-Preserving Action Recognition Using Coded Aperture Videos.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

Live Reconstruction of Large-Scale Dynamic Outdoor Worlds.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

2016
Struck: Structured Output Tracking with Kernels.
IEEE Trans. Pattern Anal. Mach. Intell., 2016

Playing for Data: Ground Truth from Computer Games.
Proceedings of the Computer Vision - ECCV 2016, 2016

Dense Monocular Depth Estimation in Complex Dynamic Scenes.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Feature Space Optimization for Semantic Video Segmentation.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015
SemanticPaint: Interactive 3D Labeling and Learning at your Fingertips.
ACM Trans. Graph., 2015

SemanticPaint: A Framework for the Interactive Segmentation of 3D Scenes.
CoRR, 2015

SemanticPaint: interactive segmentation and learning of 3D world.
Proceedings of the Special Interest Group on Computer Graphics and Interactive Techniques Conference, 2015

SemanticPaint: interactive segmentation and learning of 3D worlds.
Proceedings of the Special Interest Group on Computer Graphics and Interactive Techniques Conference, 2015

Incremental dense multi-modal 3D scene reconstruction.
Proceedings of the 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2015

Incremental dense semantic stereo fusion for large-scale semantic scene reconstruction.
Proceedings of the IEEE International Conference on Robotics and Automation, 2015

Conditional Random Fields as Recurrent Neural Networks.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

The Semantic Paintbrush: Interactive 3D Mapping and Recognition in Large Outdoor Spaces.
Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems, 2015

2014
Recognition, reorganisation, reconstruction and reinteraction for scene understanding.
PhD thesis, 2014

ImageSpirit: Verbal Guided Image Parsing.
ACM Trans. Graph., 2014

Filter-Based Mean-Field Inference for Random Fields with Higher-Order Terms and Product Label-Spaces.
Int. J. Comput. Vis., 2014

A Tiered Move-making Algorithm for General Non-submodular Pairwise Energies.
CoRR, 2014


Dense Semantic Image Segmentation with Objects and Attributes.
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

Distributed Non-convex ADMM-based inference in large-scale random fields.
Proceedings of the British Machine Vision Conference, 2014

2013
ImageSpirit: Verbal Guided Image Parsing.
CoRR, 2013

Higher Order Priors for Joint Intrinsic Image, Objects, and Attributes Estimation.
Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

Efficient Salient Region Detection with Soft Image Abstraction.
Proceedings of the IEEE International Conference on Computer Vision, 2013

PoseField: An Efficient Mean-Field Based Method for Joint Estimation of Human Pose, Segmentation, and Depth.
Proceedings of the Energy Minimization Methods in Computer Vision and Pattern Recognition, 2013

2012
A tiered move-making algorithm for general pairwise MRFs.
Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

Improved Initialization and Gaussian Mixture Pairwise Terms for Dense Random Fields with Mean-field Inference.
Proceedings of the British Machine Vision Conference, 2012

2011
Human Instance Segmentation from Video using Detector-based Conditional Random Fields.
Proceedings of the British Machine Vision Conference, 2011

2009
Fast minimum spanning tree for large graphs on the GPU.
Proceedings of the ACM SIGGRAPH/EUROGRAPHICS Conference on High Performance Graphics 2009, 2009

Solving Multilabel MRFs Using Incremental <i>alpha</i>-Expansion on the GPUs.
Proceedings of the Computer Vision, 2009

2008
CUDA cuts: Fast graph cuts on the GPU.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2008


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