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ORCIDVibhav Vineet
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2020 – today
- 2020
[c27]Harkirat Singh Behl, Atilim Günes Baydin, Ran Gal, Philip H. S. Torr, Vibhav Vineet:
AutoSimulate: (Quickly) Learning Synthetic Data Generation. ECCV (22) 2020: 255-271- [c26]Ziqi Fan, Vibhav Vineet, Hannes Gamper, Nikunj Raghuvanshi:
Fast Acoustic Scattering Using Convolutional Neural Networks. ICASSP 2020: 171-175 - [i14]Pallabi Ghosh, Vibhav Vineet, Larry S. Davis, Abhinav Shrivastava, Sudipta N. Sinha, Neel Joshi:
Deep Depth Prior for Multi-View Stereo. CoRR abs/2001.07791 (2020) - [i13]Harkirat Singh Behl, Atilim Günes Baydin, Ran Gal, Philip H. S. Torr, Vibhav Vineet:
AutoSimulate: (Quickly) Learning Synthetic Data Generation. CoRR abs/2008.08424 (2020) - [i12]Zhiwei Xu, Thalaiyasingam Ajanthan, Vibhav Vineet, Richard I. Hartley:
RANP: Resource Aware Neuron Pruning at Initialization for 3D CNNs. CoRR abs/2010.02488 (2020) - [i11]Ziqi Fan, Vibhav Vineet, Chenshen Lu, Kyla McMullen:
Prediction of Object Geometry from Acoustic Scattering Using Convolutional Neural Networks. CoRR abs/2010.10691 (2020)
2010 – 2019
- 2019
- [c25]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: 1-10 - [c24]Ondrej Miksik, Vibhav Vineet:
Live Reconstruction of Large-Scale Dynamic Outdoor Worlds. CVPR Workshops 2019: 9-18 - [c23]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: 66-70 - [i10]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 abs/1902.03334 (2019) - [i9]Zihao W. Wang, Vibhav Vineet, Francesco Pittaluga, Sudipta N. Sinha, Oliver Cossairt, Sing Bing Kang:
Privacy-Preserving Action Recognition using Coded Aperture Videos. CoRR abs/1902.09085 (2019) - [i8]Ondrej Miksik, Vibhav Vineet:
Live Reconstruction of Large-Scale Dynamic Outdoor Worlds. CoRR abs/1903.06708 (2019) - [i7]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 abs/1909.06993 (2019) - [i6]Ziqi Fan, Vibhav Vineet, Hannes Gamper, Nikunj Raghuvanshi:
Fast acoustic scattering using convolutional neural networks. CoRR abs/1911.01802 (2019) - 2016
- [j4]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): 2096-2109 (2016) - [c22]Abhijit Kundu, Vibhav Vineet, Vladlen Koltun:
Feature Space Optimization for Semantic Video Segmentation. CVPR 2016: 3168-3175 - [c21]René Ranftl, Vibhav Vineet, Qifeng Chen, Vladlen Koltun:
Dense Monocular Depth Estimation in Complex Dynamic Scenes. CVPR 2016: 4058-4066 - [c20]Stephan R. Richter, Vibhav Vineet, Stefan Roth, Vladlen Koltun:
Playing for Data: Ground Truth from Computer Games. ECCV (2) 2016: 102-118 - [i5]Stephan R. Richter, Vibhav Vineet, Stefan Roth, Vladlen Koltun:
Playing for Data: Ground Truth from Computer Games. CoRR abs/1608.02192 (2016) - 2015
- [j3]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): 154:1-154:17 (2015) - [c19]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: 3317-3326 - [c18]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: 1529-1537 - [c17]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: 75-82 - [c16]Ondrej Miksik, Yousef Amar, Vibhav Vineet, Patrick Pérez, Philip H. S. Torr:
Incremental dense multi-modal 3D scene reconstruction. IROS 2015: 908-915 - [c15]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: 22:1 - [c14]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: 75:1 - [i4]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 abs/1502.03240 (2015) - [i3]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 abs/1510.03727 (2015) - 2014
- [b1]Vibhav Vineet:
Recognition, reorganisation, reconstruction and reinteraction for scene understanding. Oxford Brookes University, UK, 2014 - [j2]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): 290-307 (2014) - [j1]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): 3:1-3:11 (2014) - [c13]Ondrej Miksik, Vibhav Vineet, Patrick Pérez, Philip H. S. Torr:
Distributed Non-convex ADMM-based inference in large-scale random fields. BMVC 2014 - [c12]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: 3214-3221 - [c11]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: 191-217 - [i2]Vibhav Vineet, Jonathan Warrell, Philip H. S. Torr:
A Tiered Move-making Algorithm for General Non-submodular Pairwise Energies. CoRR abs/1403.6275 (2014) - 2013
- [c10]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: 180-194 - [c9]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: 1529-1536 - [c8]Vibhav Vineet, Carsten Rother, Philip H. S. Torr:
Higher Order Priors for Joint Intrinsic Image, Objects, and Attributes Estimation. NIPS 2013: 557-565 - [i1]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 abs/1310.4389 (2013) - 2012
- [c7]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: 1-11 - [c6]Vibhav Vineet, Jonathan Warrell, Philip H. S. Torr:
A tiered move-making algorithm for general pairwise MRFs. CVPR 2012: 1632-1639 - [c5]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: 31-44 - 2011
- [c4]Vibhav Vineet, Jonathan Warrell, Lubor Ladicky, Philip H. S. Torr:
Human Instance Segmentation from Video using Detector-based Conditional Random Fields. BMVC 2011: 1-11
2000 – 2009
- 2009
- [c3]Vibhav Vineet, P. J. Narayanan:
Solving Multilabel MRFs Using Incremental alpha-Expansion on the GPUs. ACCV (3) 2009: 633-643 - [c2]Vibhav Vineet, Pawan Harish, Suryakant Patidar, P. J. Narayanan:
Fast minimum spanning tree for large graphs on the GPU. High Performance Graphics 2009: 167-171 - 2008
- [c1]Vibhav Vineet, P. J. Narayanan:
CUDA cuts: Fast graph cuts on the GPU. CVPR Workshops 2008: 1-8
Coauthor Index
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