Vibhav Vineet

According to our database, Vibhav Vineet authored at least 76 papers between 2008 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Navigating Hallucinations for Reasoning of Unintentional Activities.

Shresth Grover, Vibhav Vineet, Yogesh S. Rawat

CoRR, 2024

2023

DreamDistribution: Prompt Distribution Learning for Text-to-Image Diffusion Models.

Brian Nlong Zhao, Yuhang Xiao, Jiashu Xu, Xinyang Jiang, Yifan Yang, Dongsheng Li, Laurent Itti, Vibhav Vineet, Yunhao Ge

CoRR, 2023

PEEKABOO: Interactive Video Generation via Masked-Diffusion.

Yash Jain, Anshul Nasery, Vibhav Vineet, Harkirat S. Behl

CoRR, 2023

Beyond Generation: Harnessing Text to Image Models for Object Detection and Segmentation.

Yunhao Ge, Jiashu Xu, Brian Nlong Zhao, Neel Joshi, Laurent Itti, Vibhav Vineet

CoRR, 2023

Robustness Analysis on Foundational Segmentation Models.

Madeline Chantry Schiappa, Sachidanand VS, Yunhao Ge, Ondrej Miksik, Yogesh S. Rawat, Vibhav Vineet

CoRR, 2023

Benchmarking self-supervised video representation learning.

Akash Kumar, Ashlesha Kumar, Vibhav Vineet, Yogesh Singh Rawat

CoRR, 2023

Controllable Text-to-Image Generation with GPT-4.

Tianjun Zhang, Yi Zhang, Vibhav Vineet, Neel Joshi, Xin Wang

CoRR, 2023

PLEX: Making the Most of the Available Data for Robotic Manipulation Pretraining.

Garrett Thomas, Ching-An Cheng, Ricky Loynd, Vibhav Vineet, Mihai Jalobeanu, Andrey Kolobov

CoRR, 2023

Scaling Novel Object Detection with Weakly Supervised Detection Transformers.

Tyler LaBonte, Yale Song, Xin Wang, Vibhav Vineet, Neel Joshi

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

On Occlusions in Video Action Detection: Benchmark Datasets And Training Recipes.

Rajat Modi, Vibhav Vineet, Yogesh S. Rawat

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

DAMEX: Dataset-aware Mixture-of-Experts for visual understanding of mixture-of-datasets.

Yash Jain, Harkirat S. Behl, Zsolt Kira, Vibhav Vineet

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Revealing the unseen: Benchmarking video action recognition under occlusion.

Shresth Grover, Vibhav Vineet, Yogesh S. Rawat

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Exploring the Sim2Real Gap using Digital Twins.

Sruthi Sudhakar, Jon Hanzelka, Josh Bobillot, Tanmay Randhavane, Neel Joshi, Vibhav Vineet

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Efficiently Robustify Pre-Trained Models.

Nishant Jain, Harkirat S. Behl, Yogesh Singh Rawat, Vibhav Vineet

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

A Large-Scale Robustness Analysis of Video Action Recognition Models.

Madeline Chantry Schiappa, Naman Biyani, Prudvi Kamtam, Shruti Vyas, Hamid Palangi, Vibhav Vineet, Yogesh S. Rawat

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

PLEX: Making the Most of the Available Data for Robotic Manipulation Pretraining.

Garrett Thomas, Ching-An Cheng, Ricky Loynd, Felipe Vieira Frujeri, Vibhav Vineet, Mihai Jalobeanu, Andrey Kolobov

Proceedings of the Conference on Robot Learning, 2023

2022

Benchmarking Spatial Relationships in Text-to-Image Generation.

Tejas Gokhale, Hamid Palangi, Besmira Nushi, Vibhav Vineet, Eric Horvitz, Ece Kamar, Chitta Baral, Yezhou Yang

CoRR, 2022

EM-Paste: EM-guided Cut-Paste with DALL-E Augmentation for Image-level Weakly Supervised Instance Segmentation.

Yunhao Ge, Jiashu Xu, Brian Nlong Zhao, Laurent Itti, Vibhav Vineet

CoRR, 2022

Context-Aware Image Completion.

Jinoh Cho, Minguk Kang, Vibhav Vineet, Jaesik Park

CoRR, 2022

Multi-modal Robustness Analysis Against Language and Visual Perturbations.

Madeline C. Schiappa, Shruti Vyas, Hamid Palangi, Yogesh S. Rawat, Vibhav Vineet

CoRR, 2022

Large-scale Robustness Analysis of Video Action Recognition Models.

Madeline C. Schiappa, Naman Biyani, Shruti Vyas, Hamid Palangi, Vibhav Vineet, Yogesh S. Rawat

CoRR, 2022

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

Yunhao Ge, Jiashu Xu, Brian Nlong Zhao, Laurent Itti, Vibhav Vineet

CoRR, 2022

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

Sharath Girish, Debadeepta Dey, Neel Joshi, Vibhav Vineet, Shital Shah, Caio César Teodoro Mendes, Abhinav Shrivastava, Yale Song

CoRR, 2022

Robustness Analysis of Video-Language Models Against Visual and Language Perturbations.

Madeline Schiappa, Shruti Vyas, Hamid Palangi, Yogesh S. Rawat, Vibhav Vineet

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

3DB: A Framework for Debugging Computer Vision Models.

Guillaume Leclerc, Hadi Salman, Andrew Ilyas, Sai Vemprala, Logan Engstrom, Vibhav Vineet, Kai Yuanqing Xiao, Pengchuan Zhang, Shibani Santurkar, Greg Yang, Ashish Kapoor, Aleksander Madry

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Inferring Articulated Rigid Body Dynamics from RGBD Video.

Eric Heiden, Ziang Liu, Vibhav Vineet, Erwin Coumans, Gaurav S. Sukhatme

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Learning to Simulate Realistic LiDARs.

Benoît Guillard, Sai Vemprala, Jayesh K. Gupta, Ondrej Miksik, Vibhav Vineet, Pascal Fua, Ashish Kapoor

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Missingness Bias in Model Debugging.

Saachi Jain, Hadi Salman, Eric Wong, Pengchuan Zhang, Vibhav Vineet, Sai Vemprala, Aleksander Madry

Proceedings of the Tenth International Conference on Learning Representations, 2022

MTFormer: Multi-task Learning via Transformer and Cross-Task Reasoning.

Xiaogang Xu, Hengshuang Zhao, Vibhav Vineet, Ser-Nam Lim, Antonio Torralba

Proceedings of the Computer Vision - ECCV 2022, 2022

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

Yunhao Ge, Harkirat S. Behl, Jiashu Xu, Suriya Gunasekar, Neel Joshi, Yale Song, Xin Wang, Laurent Itti, Vibhav Vineet

Proceedings of the Computer Vision - ECCV 2022, 2022

Learning to Align Sequential Actions in the Wild.

Weizhe Liu, Bugra Tekin, Huseyin Coskun, Vibhav Vineet, Pascal Fua, Marc Pollefeys

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Robust Contrastive Learning against Noisy Views.

Ching-Yao Chuang, R. Devon Hjelm, Xin Wang, Vibhav Vineet, Neel Joshi, Antonio Torralba, Stefanie Jegelka, Yale Song

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

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

Daniel McDuff, Yale Song, Jiyoung Lee, Vibhav Vineet, Sai Vemprala, Nicholas Gyde, Hadi Salman, Shuang Ma, Kwanghoon Sohn, Ashish Kapoor

Proceedings of the 1st Conference on Causal Learning and Reasoning, 2022

Image Retrieval from Contextual Descriptions.

Benno Krojer, Vaibhav Adlakha, Vibhav Vineet, Yash Goyal, Edoardo Maria Ponti, Siva Reddy

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021

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

Ziqi Fan, Vibhav Vineet, Chenshen Lu, T. W. Wu, Kyla A. McMullen

Proceedings of the IEEE International Conference on Acoustics, 2021

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

Christopher Agia, Krishna Murthy Jatavallabhula, Mohamed Khodeir, Ondrej Miksik, Vibhav Vineet, Mustafa Mukadam, Liam Paull, Florian Shkurti

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.

Ziqi Fan, Vibhav Vineet, Chenshen Lu, Kyla A. McMullen

CoRR, 2020

Deep Depth Prior for Multi-View Stereo.

Pallabi Ghosh, Vibhav Vineet, Larry S. Davis, Abhinav Shrivastava, Sudipta N. Sinha, Neel Joshi

CoRR, 2020

Learning Visuomotor Policies for Aerial Navigation Using Cross-Modal Representations.

Rogerio Bonatti, Ratnesh Madaan, Vibhav Vineet, Sebastian A. Scherer, Ashish Kapoor

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

Fast Acoustic Scattering Using Convolutional Neural Networks.

Ziqi Fan, Vibhav Vineet, Hannes Gamper, Nikunj Raghuvanshi

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

AutoSimulate: (Quickly) Learning Synthetic Data Generation.

Harkirat Singh Behl, Atilim Günes Baydin, Ran Gal, Philip H. S. Torr, Vibhav Vineet

Proceedings of the Computer Vision - ECCV 2020, 2020

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

Zhiwei Xu, Thalaiyasingam Ajanthan, Vibhav Vineet, Richard I. Hartley

Proceedings of the 8th International Conference on 3D Vision, 2020

Depth Completion Using a View-constrained Deep Prior.

Pallabi Ghosh, Vibhav Vineet, Larry S. Davis, Abhinav Shrivastava, Sudipta N. Sinha, Neel Joshi

Proceedings of the 8th International Conference on 3D Vision, 2020

2019

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

Rogerio Bonatti, Ratnesh Madaan, Vibhav Vineet, Sebastian A. Scherer, Ashish Kapoor

CoRR, 2019

Photorealistic Image Synthesis for Object Instance Detection.

Tomás Hodan, Vibhav Vineet, Ran Gal, Emanuel Shalev, Jon Hanzelka, Treb Connell, Pedro Urbina, Sudipta N. Sinha, Brian Guenter

Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

Privacy-Preserving Action Recognition Using Coded Aperture Videos.

Zihao W. Wang, Vibhav Vineet, Francesco Pittaluga, Sudipta N. Sinha, Oliver Cossairt, Sing Bing Kang

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

Live Reconstruction of Large-Scale Dynamic Outdoor Worlds.

Ondrej Miksik, Vibhav Vineet

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

2016

Struck: Structured Output Tracking with Kernels.

Sam Hare, Stuart Golodetz, Amir Saffari, Vibhav Vineet, Ming-Ming Cheng, Stephen L. Hicks, Philip H. S. Torr

IEEE Trans. Pattern Anal. Mach. Intell., 2016

Playing for Data: Ground Truth from Computer Games.

Stephan R. Richter, Vibhav Vineet, Stefan Roth, Vladlen Koltun

Proceedings of the Computer Vision - ECCV 2016, 2016

Dense Monocular Depth Estimation in Complex Dynamic Scenes.

René Ranftl, Vibhav Vineet, Qifeng Chen, Vladlen Koltun

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Feature Space Optimization for Semantic Video Segmentation.

Abhijit Kundu, Vibhav Vineet, Vladlen Koltun

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015

SemanticPaint: Interactive 3D Labeling and Learning at your Fingertips.

Julien P. C. Valentin, Vibhav Vineet, Ming-Ming Cheng, David Kim, Jamie Shotton, Pushmeet Kohli, Matthias Nießner, Antonio Criminisi, Shahram Izadi, Philip H. S. Torr

ACM Trans. Graph., 2015

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

Stuart Golodetz, Michael Sapienza, Julien P. C. Valentin, Vibhav Vineet, Ming-Ming Cheng, Anurag Arnab, Victor Adrian Prisacariu, Olaf Kähler, Carl Yuheng Ren, David William Murray, Shahram Izadi, Philip H. S. Torr

CoRR, 2015

SemanticPaint: interactive segmentation and learning of 3D world.

Julien P. C. Valentin, Vibhav Vineet, Ming-Ming Cheng, David Kim, Jamie Shotton, Pushmeet Kohli, Matthias Nießner, Antonio Criminisi, Shahram Izadi, Philip H. S. Torr

Proceedings of the Special Interest Group on Computer Graphics and Interactive Techniques Conference, 2015

SemanticPaint: interactive segmentation and learning of 3D worlds.

Stuart Golodetz, Michael Sapienza, Julien P. C. Valentin, Vibhav Vineet, Ming-Ming Cheng, Victor Adrian Prisacariu, Olaf Kähler, Carl Yuheng Ren, Anurag Arnab, Stephen L. Hicks, David William Murray, Shahram Izadi, Philip H. S. Torr

Proceedings of the Special Interest Group on Computer Graphics and Interactive Techniques Conference, 2015

Incremental dense multi-modal 3D scene reconstruction.

Ondrej Miksik, Yousef Amar, Vibhav Vineet, Patrick Pérez, Philip H. S. Torr

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.

Vibhav Vineet, Ondrej Miksik, Morten Lidegaard, Matthias Nießner, Stuart Golodetz, Victor Adrian Prisacariu, Olaf Kähler, David William Murray, Shahram Izadi, Patrick Pérez, Philip H. S. Torr

Proceedings of the IEEE International Conference on Robotics and Automation, 2015

Conditional Random Fields as Recurrent Neural Networks.

Shuai Zheng, Sadeep Jayasumana, Bernardino Romera-Paredes, Vibhav Vineet, Zhizhong Su, Dalong Du, Chang Huang, Philip H. S. Torr

Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

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

Ondrej Miksik, Vibhav Vineet, Morten Lidegaard, Ram Prasaath, Matthias Nießner, Stuart Golodetz, Stephen L. Hicks, Patrick Pérez, Shahram Izadi, Philip H. S. Torr

Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems, 2015

2014

Recognition, reorganisation, reconstruction and reinteraction for scene understanding.

Vibhav Vineet

PhD thesis, 2014

ImageSpirit: Verbal Guided Image Parsing.

Ming-Ming Cheng, Shuai Zheng, Wen-Yan Lin, Vibhav Vineet, Paul Sturgess, Nigel T. Crook, Niloy J. Mitra, Philip H. S. Torr

ACM Trans. Graph., 2014

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

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

Int. J. Comput. Vis., 2014

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

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

CoRR, 2014

The Visual Object Tracking VOT2014 Challenge Results.

Matej Kristan, Roman P. Pflugfelder, Ales Leonardis, Jiri Matas, Luka Cehovin, Georg Nebehay, Tomás Vojír, Gustavo Fernández, Alan Lukezic, Aleksandar Dimitriev, Alfredo Petrosino, Amir Saffari, Bo Li, Bohyung Han, Cherkeng Heng, Christophe Garcia, Dominik Pangersic, Gustav Häger, Fahad Shahbaz Khan, Franci Oven, Horst Possegger, Horst Bischof, Hyeonseob Nam, Jianke Zhu, Jijia Li, Jin Young Choi, Jinwoo Choi, João F. Henriques, Joost van de Weijer, Jorge Batista, Karel Lebeda, Kristoffer Öfjäll, Kwang Moo Yi, Lei Qin, Longyin Wen, Mario Edoardo Maresca, Martin Danelljan, Michael Felsberg, Ming-Ming Cheng, Philip H. S. Torr, Qingming Huang, Richard Bowden, Sam Hare, Samantha YueYing Lim, Seunghoon Hong, Shengcai Liao, Simon Hadfield, Stan Z. Li, Stefan Duffner, Stuart Golodetz, Thomas Mauthner, Vibhav Vineet, Weiyao Lin, Yang Li, Yuankai Qi, Zhen Lei, Zhi Heng Niu

Proceedings of the Computer Vision - ECCV 2014 Workshops, 2014

Dense Semantic Image Segmentation with Objects and Attributes.

Shuai Zheng, Ming-Ming Cheng, Jonathan Warrell, Paul Sturgess, Vibhav Vineet, Carsten Rother, Philip H. S. Torr

Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

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

Ondrej Miksik, Vibhav Vineet, Patrick Pérez, Philip H. S. Torr

Proceedings of the British Machine Vision Conference, 2014

2013

ImageSpirit: Verbal Guided Image Parsing.

Ming-Ming Cheng, Shuai Zheng, Wen-Yan Lin, Jonathan Warrell, Vibhav Vineet, Paul Sturgess, Nigel T. Crook, Niloy J. Mitra, Philip H. S. Torr

CoRR, 2013

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

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

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.

Ming-Ming Cheng, Jonathan Warrell, Wen-Yan Lin, Shuai Zheng, Vibhav Vineet, Nigel T. Crook

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.

Vibhav Vineet, Glenn Sheasby, Jonathan Warrell, Philip H. S. Torr

Proceedings of the Energy Minimization Methods in Computer Vision and Pattern Recognition, 2013

2012

A tiered move-making algorithm for general pairwise MRFs.

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

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.

Vibhav Vineet, Jonathan Warrell, Paul Sturgess, Philip H. S. Torr

Proceedings of the British Machine Vision Conference, 2012

2011

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

Vibhav Vineet, Jonathan Warrell, Lubor Ladicky, Philip H. S. Torr

Proceedings of the British Machine Vision Conference, 2011

2009

Fast minimum spanning tree for large graphs on the GPU.

Vibhav Vineet, Pawan Harish, Suryakant Patidar, P. J. Narayanan

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.

Vibhav Vineet, P. J. Narayanan

Proceedings of the Computer Vision, 2009

2008

CUDA cuts: Fast graph cuts on the GPU.

Vibhav Vineet, P. J. Narayanan

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2008