Vibhav Vineet

Publication Activity (10 Years)

Years Active: 2008-2023
Publications (10 Years): 80

Top Venues

CoRR

CVPR

NeurIPS

IROS

Oxford Brookes University, UK (PHD)

Education History

Oxford Brookes University, UK

PHD

Publications

Shresth Grover, Vibhav Vineet, Yogesh S. Rawat
Revealing the unseen: Benchmarking video action recognition under occlusion. NeurIPS (2023)
Garrett Thomas, Ching-An Cheng, Ricky Loynd, Vibhav Vineet, Mihai Jalobeanu, Andrey Kolobov
PLEX: Making the Most of the Available Data for Robotic Manipulation Pretraining. CoRR (2023)
Yunhao Ge, Jiashu Xu, Brian Nlong Zhao, Neel Joshi, Laurent Itti, Vibhav Vineet
Beyond Generation: Harnessing Text to Image Models for Object Detection and Segmentation. CoRR (2023)
Nishant Jain, Harkirat S. Behl, Yogesh Singh Rawat, Vibhav Vineet
Efficiently Robustify Pre-trained Models. CoRR (2023)
Madeline Chantry Schiappa, Naman Biyani, Prudvi Kamtam, Shruti Vyas, Hamid Palangi, Vibhav Vineet, Yogesh S. Rawat
A Large-Scale Robustness Analysis of Video Action Recognition Models. CVPR (2023)
Aakash Kumar, Ashlesha Kumar, Vibhav Vineet, Yogesh Singh Rawat
Benchmarking self-supervised video representation learning. CoRR (2023)
Yash Jain, Harkirat S. Behl, Zsolt Kira, Vibhav Vineet
DAMEX: Dataset-aware Mixture-of-Experts for visual understanding of mixture-of-datasets. CoRR (2023)
Yash Jain, Anshul Nasery, Vibhav Vineet, Harkirat S. Behl
PEEKABOO: Interactive Video Generation via Masked-Diffusion. CoRR (2023)
Tianjun Zhang, Yi Zhang, Vibhav Vineet, Neel Joshi, Xin Wang
Controllable Text-to-Image Generation with GPT-4. CoRR (2023)
Nishant Jain, Harkirat S. Behl, Yogesh Singh Rawat, Vibhav Vineet
Efficiently Robustify Pre-Trained Models. ICCV (2023)
Garrett Thomas, Ching-An Cheng, Ricky Loynd, Felipe Vieira Frujeri, Vibhav Vineet, Mihai Jalobeanu, Andrey Kolobov
PLEX: Making the Most of the Available Data for Robotic Manipulation Pretraining. CoRL (2023)
Madeline Chantry Schiappa, Sachidanand VS, Yunhao Ge, Ondrej Miksik, Yogesh S. Rawat, Vibhav Vineet
Robustness Analysis on Foundational Segmentation Models. CoRR (2023)
Brian Nlong Zhao, Yuhang Xiao, Jiashu Xu, Xinyang Jiang, Yifan Yang, Dongsheng Li, Laurent Itti, Vibhav Vineet, Yunhao Ge
DreamDistribution: Prompt Distribution Learning for Text-to-Image Diffusion Models. CoRR (2023)
Tyler LaBonte, Yale Song, Xin Wang, Vibhav Vineet, Neel Joshi
Scaling Novel Object Detection with Weakly Supervised Detection Transformers. WACV (2023)
Yash Jain, Harkirat S. Behl, Zsolt Kira, Vibhav Vineet
DAMEX: Dataset-aware Mixture-of-Experts for visual understanding of mixture-of-datasets. NeurIPS (2023)
Sruthi Sudhakar, Jon Hanzelka, Josh Bobillot, Tanmay Randhavane, Neel Joshi, Vibhav Vineet
Exploring the Sim2Real Gap using Digital Twins. ICCV (2023)
Rajat Modi, Vibhav Vineet, Yogesh S. Rawat
On Occlusions in Video Action Detection: Benchmark Datasets And Training Recipes. NeurIPS (2023)
Weizhe Liu, Bugra Tekin, Huseyin Coskun, Vibhav Vineet, Pascal Fua, Marc Pollefeys
Learning to Align Sequential Actions in the Wild. CVPR (2022)
Eric Heiden, Ziang Liu, Vibhav Vineet, Erwin Coumans, Gaurav S. Sukhatme
Inferring Articulated Rigid Body Dynamics from RGBD Video. IROS (2022)
Madeline C. Schiappa, Shruti Vyas, Hamid Palangi, Yogesh S. Rawat, Vibhav Vineet
Multi-modal Robustness Analysis Against Language and Visual Perturbations. CoRR (2022)
Ching-Yao Chuang, R. Devon Hjelm, Xin Wang, Vibhav Vineet, Neel Joshi, Antonio Torralba, Stefanie Jegelka, Yale Song
Robust Contrastive Learning against Noisy Views. CVPR (2022)
Yunhao Ge, Jiashu Xu, Brian Nlong Zhao, Laurent Itti, Vibhav Vineet
EM-Paste: EM-guided Cut-Paste with DALL-E Augmentation for Image-level Weakly Supervised Instance Segmentation. CoRR (2022)
Yunhao Ge, Harkirat S. Behl, Jiashu Xu, Suriya Gunasekar, Neel Joshi, Yale Song, Xin Wang, Laurent Itti, Vibhav Vineet
Neural-Sim: Learning to Generate Training Data with NeRF. CoRR (2022)
Saachi Jain, Hadi Salman, Eric Wong, Pengchuan Zhang, Vibhav Vineet, Sai Vemprala, Aleksander Madry
Missingness Bias in Model Debugging. ICLR (2022)
Tyler LaBonte, Yale Song, Xin Wang, Vibhav Vineet, Neel Joshi
Scaling Novel Object Detection with Weakly Supervised Detection Transformers. CoRR (2022)
Eric Heiden, Ziang Liu, Vibhav Vineet, Erwin Coumans, Gaurav S. Sukhatme
Inferring Articulated Rigid Body Dynamics from RGBD Video. CoRR (2022)
Jinoh Cho, Minguk Kang, Vibhav Vineet, Jaesik Park
Context-Aware Image Completion. CoRR (2022)
Benno Krojer, Vaibhav Adlakha, Vibhav Vineet, Yash Goyal, Edoardo Maria Ponti, Siva Reddy
Image Retrieval from Contextual Descriptions. ACL (1) (2022)
Benoît Guillard, Sai Vemprala, Jayesh K. Gupta, Ondrej Miksik, Vibhav Vineet, Pascal Fua, Ashish Kapoor
Learning to Simulate Realistic LiDARs. CoRR (2022)
Ching-Yao Chuang, R. Devon Hjelm, Xin Wang, Vibhav Vineet, Neel Joshi, Antonio Torralba, Stefanie Jegelka, Yale Song
Robust Contrastive Learning against Noisy Views. CoRR (2022)
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
3DB: A Framework for Debugging Computer Vision Models. NeurIPS (2022)
Benoît Guillard, Sai Vemprala, Jayesh K. Gupta, Ondrej Miksik, Vibhav Vineet, Pascal Fua, Ashish Kapoor
Learning to Simulate Realistic LiDARs. IROS (2022)
Saachi Jain, Hadi Salman, Eric Wong, Pengchuan Zhang, Vibhav Vineet, Sai Vemprala, Aleksander Madry
Missingness Bias in Model Debugging. CoRR (2022)
Benno Krojer, Vaibhav Adlakha, Vibhav Vineet, Yash Goyal, Edoardo Maria Ponti, Siva Reddy
Image Retrieval from Contextual Descriptions. CoRR (2022)
Yunhao Ge, Jiashu Xu, Brian Nlong Zhao, Laurent Itti, Vibhav Vineet
DALL-E for Detection: Language-driven Context Image Synthesis for Object Detection. CoRR (2022)
Daniel McDuff, Yale Song, Jiyoung Lee, Vibhav Vineet, Sai Vemprala, Nicholas Gyde, Hadi Salman, Shuang Ma, Kwanghoon Sohn, Ashish Kapoor
CausalCity: Complex Simulations with Agency for Causal Discovery and Reasoning. CLeaR (2022)
Xiaogang Xu, Hengshuang Zhao, Vibhav Vineet, Ser-Nam Lim, Antonio Torralba
MTFormer: Multi-task Learning via Transformer and Cross-Task Reasoning. ECCV (27) (2022)
Yunhao Ge, Harkirat S. Behl, Jiashu Xu, Suriya Gunasekar, Neel Joshi, Yale Song, Xin Wang, Laurent Itti, Vibhav Vineet
Neural-Sim: Learning to Generate Training Data with NeRF. ECCV (23) (2022)
Tejas Gokhale, Hamid Palangi, Besmira Nushi, Vibhav Vineet, Eric Horvitz, Ece Kamar, Chitta Baral, Yezhou Yang
Benchmarking Spatial Relationships in Text-to-Image Generation. CoRR (2022)
Madeline C. Schiappa, Naman Biyani, Shruti Vyas, Hamid Palangi, Vibhav Vineet, Yogesh Rawat
Large-scale Robustness Analysis of Video Action Recognition Models. CoRR (2022)
Madeline Schiappa, Shruti Vyas, Hamid Palangi, Yogesh S. Rawat, Vibhav Vineet
Robustness Analysis of Video-Language Models Against Visual and Language Perturbations. NeurIPS (2022)
Christopher Agia, Krishna Murthy Jatavallabhula, Mohamed Khodeir, Ondrej Miksik, Vibhav Vineet, Mustafa Mukadam, Liam Paull, Florian Shkurti
TASKOGRAPHY: Evaluating robot task planning over large 3D scene graphs. CoRR (2022)
Sharath Girish, Debadeepta Dey, Neel Joshi, Vibhav Vineet, Shital Shah, Caio César Teodoro Mendes, Abhinav Shrivastava, Yale Song
One Network Doesn't Rule Them All: Moving Beyond Handcrafted Architectures in Self-Supervised Learning. CoRR (2022)
Ziqi Fan, Vibhav Vineet, Chenshen Lu, T. W. Wu, Kyla A. McMullen
Prediction of Object Geometry from Acoustic Scattering Using Convolutional Neural Networks. ICASSP (2021)
Zhiwei Xu, Thalaiyasingam Ajanthan, Vibhav Vineet, Richard I. Hartley
RANP: Resource Aware Neuron Pruning at Initialization for 3D CNNs. CoRR (2021)
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
3DB: A Framework for Debugging Computer Vision Models. CoRR (2021)
Weizhe Liu, Bugra Tekin, Huseyin Coskun, Vibhav Vineet, Pascal Fua, Marc Pollefeys
Learning to Align Sequential Actions in the Wild. CoRR (2021)
Daniel J. McDuff, Yale Song, Jiyoung Lee, Vibhav Vineet, Sai Vemprala, Nicholas Gyde, Hadi Salman, Shuang Ma, Kwanghoon Sohn, Ashish Kapoor
CausalCity: Complex Simulations with Agency for Causal Discovery and Reasoning. CoRR (2021)
Christopher Agia, Krishna Murthy Jatavallabhula, Mohamed Khodeir, Ondrej Miksik, Vibhav Vineet, Mustafa Mukadam, Liam Paull, Florian Shkurti
Taskography: Evaluating robot task planning over large 3D scene graphs. CoRL (2021)
Zhiwei Xu, Thalaiyasingam Ajanthan, Vibhav Vineet, Richard I. Hartley
RANP: Resource Aware Neuron Pruning at Initialization for 3D CNNs. 3DV (2020)
Rogerio Bonatti, Ratnesh Madaan, Vibhav Vineet, Sebastian A. Scherer, Ashish Kapoor
Learning Visuomotor Policies for Aerial Navigation Using Cross-Modal Representations. IROS (2020)
Pallabi Ghosh, Vibhav Vineet, Larry S. Davis, Abhinav Shrivastava, Sudipta N. Sinha, Neel Joshi
Deep Depth Prior for Multi-View Stereo. CoRR (2020)
Harkirat Singh Behl, Atilim Günes Baydin, Ran Gal, Philip H. S. Torr, Vibhav Vineet
AutoSimulate: (Quickly) Learning Synthetic Data Generation. ECCV (22) (2020)
Zhiwei Xu, Thalaiyasingam Ajanthan, Vibhav Vineet, Richard I. Hartley
RANP: Resource Aware Neuron Pruning at Initialization for 3D CNNs. CoRR (2020)
Pallabi Ghosh, Vibhav Vineet, Larry S. Davis, Abhinav Shrivastava, Sudipta N. Sinha, Neel Joshi
Depth Completion Using a View-constrained Deep Prior. 3DV (2020)
Ziqi Fan, Vibhav Vineet, Hannes Gamper, Nikunj Raghuvanshi
Fast Acoustic Scattering Using Convolutional Neural Networks. ICASSP (2020)
Ziqi Fan, Vibhav Vineet, Chenshen Lu, Kyla A. McMullen
Prediction of Object Geometry from Acoustic Scattering Using Convolutional Neural Networks. CoRR (2020)
Harkirat Singh Behl, Atilim Günes Baydin, Ran Gal, Philip H. S. Torr, Vibhav Vineet
AutoSimulate: (Quickly) Learning Synthetic Data Generation. CoRR (2020)
Zihao W. Wang, Vibhav Vineet, Francesco Pittaluga, Sudipta N. Sinha, Oliver Cossairt, Sing Bing Kang
Privacy-Preserving Action Recognition Using Coded Aperture Videos. CVPR Workshops (2019)
Tomas Hodan, Vibhav Vineet, Ran Gal, Emanuel Shalev, Jon Hanzelka, Treb Connell, Pedro Urbina, Sudipta N. Sinha, Brian Guenter
Photorealistic Image Synthesis for Object Instance Detection. CoRR (2019)
Ondrej Miksik, Vibhav Vineet
Live Reconstruction of Large-Scale Dynamic Outdoor Worlds. CVPR Workshops (2019)
Ziqi Fan, Vibhav Vineet, Hannes Gamper, Nikunj Raghuvanshi
Fast acoustic scattering using convolutional neural networks. CoRR (2019)
Rogerio Bonatti, Ratnesh Madaan, Vibhav Vineet, Sebastian A. Scherer, Ashish Kapoor
Learning Controls Using Cross-Modal Representations: Bridging Simulation and Reality for Drone Racing. CoRR (2019)
Ondrej Miksik, Vibhav Vineet
Live Reconstruction of Large-Scale Dynamic Outdoor Worlds. CoRR (2019)
Tomás Hodan, Vibhav Vineet, Ran Gal, Emanuel Shalev, Jon Hanzelka, Treb Connell, Pedro Urbina, Sudipta N. Sinha, Brian Guenter
Photorealistic Image Synthesis for Object Instance Detection. ICIP (2019)
Zihao W. Wang, Vibhav Vineet, Francesco Pittaluga, Sudipta N. Sinha, Oliver Cossairt, Sing Bing Kang
Privacy-Preserving Action Recognition using Coded Aperture Videos. CoRR (2019)
René Ranftl, Vibhav Vineet, Qifeng Chen, Vladlen Koltun
Dense Monocular Depth Estimation in Complex Dynamic Scenes. CVPR (2016)
Sam Hare, Stuart Golodetz, Amir Saffari, Vibhav Vineet, Ming-Ming Cheng, Stephen L. Hicks, Philip H. S. Torr
Struck: Structured Output Tracking with Kernels. IEEE Trans. Pattern Anal. Mach. Intell. 38 (10) (2016)
Abhijit Kundu, Vibhav Vineet, Vladlen Koltun
Feature Space Optimization for Semantic Video Segmentation. CVPR (2016)
Stephan R. Richter, Vibhav Vineet, Stefan Roth, Vladlen Koltun
Playing for Data: Ground Truth from Computer Games. CoRR (2016)
Stephan R. Richter, Vibhav Vineet, Stefan Roth, Vladlen Koltun
Playing for Data: Ground Truth from Computer Games. ECCV (2) (2016)
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
SemanticPaint: interactive segmentation and learning of 3D world. SIGGRAPH Talks (2015)
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
SemanticPaint: Interactive 3D Labeling and Learning at your Fingertips. ACM Trans. Graph. 34 (5) (2015)
Ondrej Miksik, Yousef Amar, Vibhav Vineet, Patrick Pérez, Philip H. S. Torr
Incremental dense multi-modal 3D scene reconstruction. IROS (2015)
Shuai Zheng, Sadeep Jayasumana, Bernardino Romera-Paredes, Vibhav Vineet, Zhizhong Su, Dalong Du, Chang Huang, Philip H. S. Torr
Conditional Random Fields as Recurrent Neural Networks. CoRR (2015)
Ondrej Miksik, Vibhav Vineet, Morten Lidegaard, Ram Prasaath, Matthias Nießner, Stuart Golodetz, Stephen L. Hicks, Patrick Pérez, Shahram Izadi, Philip H. S. Torr
The Semantic Paintbrush: Interactive 3D Mapping and Recognition in Large Outdoor Spaces. CHI (2015)
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
SemanticPaint: interactive segmentation and learning of 3D worlds. SIGGRAPH Emerging Technologies (2015)
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
Incremental dense semantic stereo fusion for large-scale semantic scene reconstruction. ICRA (2015)
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
SemanticPaint: A Framework for the Interactive Segmentation of 3D Scenes. CoRR (2015)
Shuai Zheng, Sadeep Jayasumana, Bernardino Romera-Paredes, Vibhav Vineet, Zhizhong Su, Dalong Du, Chang Huang, Philip H. S. Torr
Conditional Random Fields as Recurrent Neural Networks. ICCV (2015)
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, Jin-Woo 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
The Visual Object Tracking VOT2014 Challenge Results. ECCV Workshops (2) (2014)
Vibhav Vineet, Jonathan Warrell, Philip H. S. Torr
Filter-Based Mean-Field Inference for Random Fields with Higher-Order Terms and Product Label-Spaces. Int. J. Comput. Vis. 110 (3) (2014)
Shuai Zheng, Ming-Ming Cheng, Jonathan Warrell, Paul Sturgess, Vibhav Vineet, Carsten Rother, Philip H. S. Torr
Dense Semantic Image Segmentation with Objects and Attributes. CVPR (2014)
Vibhav Vineet, Jonathan Warrell, Philip H. S. Torr
A Tiered Move-making Algorithm for General Non-submodular Pairwise Energies. CoRR (2014)
Ondrej Miksik, Vibhav Vineet, Patrick Pérez, Philip H. S. Torr
Distributed Non-convex ADMM-based inference in large-scale random fields. BMVC (2014)
Ming-Ming Cheng, Shuai Zheng, Wen-Yan Lin, Vibhav Vineet, Paul Sturgess, Nigel T. Crook, Niloy J. Mitra, Philip H. S. Torr
ImageSpirit: Verbal Guided Image Parsing. ACM Trans. Graph. 34 (1) (2014)
Vibhav Vineet, Glenn Sheasby, Jonathan Warrell, Philip H. S. Torr
PoseField: An Efficient Mean-Field Based Method for Joint Estimation of Human Pose, Segmentation, and Depth. EMMCVPR (2013)
Vibhav Vineet, Carsten Rother, Philip H. S. Torr
Higher Order Priors for Joint Intrinsic Image, Objects, and Attributes Estimation. NIPS (2013)
Ming-Ming Cheng, Jonathan Warrell, Wen-Yan Lin, Shuai Zheng, Vibhav Vineet, Nigel T. Crook
Efficient Salient Region Detection with Soft Image Abstraction. ICCV (2013)
Ming-Ming Cheng, Shuai Zheng, Wen-Yan Lin, Jonathan Warrell, Vibhav Vineet, Paul Sturgess, Nigel T. Crook, Niloy J. Mitra, Philip H. S. Torr
ImageSpirit: Verbal Guided Image Parsing. CoRR (2013)
Vibhav Vineet, Jonathan Warrell, Paul Sturgess, Philip H. S. Torr
Improved Initialization and Gaussian Mixture Pairwise Terms for Dense Random Fields with Mean-field Inference. BMVC (2012)
Vibhav Vineet, Jonathan Warrell, Philip H. S. Torr
A tiered move-making algorithm for general pairwise MRFs. CVPR (2012)
Vibhav Vineet, Jonathan Warrell, Philip H. S. Torr
Filter-Based Mean-Field Inference for Random Fields with Higher-Order Terms and Product Label-Spaces. ECCV (5) (2012)
Vibhav Vineet, Jonathan Warrell, Lubor Ladicky, Philip H. S. Torr
Human Instance Segmentation from Video using Detector-based Conditional Random Fields. BMVC (2011)
Vibhav Vineet, Pawan Harish, Suryakant Patidar, P. J. Narayanan
Fast minimum spanning tree for large graphs on the GPU. High Performance Graphics (2009)
Vibhav Vineet, P. J. Narayanan
-Expansion on the GPUs. ACCV (3) (2009)
Vibhav Vineet, P. J. Narayanan
CUDA cuts: Fast graph cuts on the GPU. CVPR Workshops (2008)

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Publication Activity (10 Years)

Top Topics

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Vibhav Vineet