Vibhav Vineet

My current research interests are in computer vision, machine learning, robotics. More specifically I am interested in developing algorithms to solve generalization issues in computer vision and machine learning such that these models can be deployed in the real world environments. I also work on using synthetic data and neural renderer to solve computer vision and robotics problems.

If you are interested in research collaborations or doing research internship at MSR Redmond, please contact me.

News

• September, 2022. Two papers accepted to NeurIPS 2022, 1 in the main conference and 1 in dataset and benchmark track.
• June, 2022. Two papers accepted to ECCV 2022.
• June, 2022. Two papers accepted to IROS 2022.
• March, 2022. Two papers accepted to CVPR 2022.
• February, 2022. Paper accepted to ACL 2022.
• January, 2022. We are organizing workshop on "ROSE: Robustness in Sequential Data" in CVPR 2022. More details to follow.
• January, 2022. Paper accepted to ICLR 2022.
• October, 2021. Papers on CausalCity, Taskography, 3DB have been updated.
• 4th February, 2021. One paper accepted at ICASSP 2021.
• 2nd October, 2020. Neural Prunning paper received the Best Student Paper Award at 3DV 2020. .
• 2nd October, 2020. Two papers accepted to 3DV 2020. .
• 10th September, 2020. IROS 2020 paper has been selected as one of the finalist in the Best Student Paper Award list, IEEE International Conference on Intelligent Robots and Automation (IROS) 2020 .
• 2nd July 2020. One paper on synthetic data generation accepted to ECCV 2020.
• 30th June 2020. Our paper on drone navigation accepted to IROS 2020.
• March. 2020. Blog and media articles on our paper on drone navigation.
• Feb. 2020. One paper on CNN based acoustic simulation has been accepted in ICASSP 2020.
• September 2019: Paper on drone navigation has been uploaded on arXiv.
• March 2019: Paper on large scale dynamic reconstruction uploaded on arXiv.
• February 2019: Papers on photorealistic rendering and privacy preserving computer vision uploaded to arXiv.
• 13th August 2018: Joined Microsoft Research in Redmond.
• 6th February 2017: Started working at FiveAI.
• 12th September 2016: Media coverage of playing games for data: MIT Technology Review.
• 24th June 2016: Paper on generating data by playing games accepted to ECCV-16.
• 16th March 2016: Two papers accepted to CVPR-16.
• 14th September 2015: I joined Intel Visual Computing Lab.
• 12th September 2015: My PhD thesis was awarded with the prestigious BMVA Sullivan Thesis Prize for 2015. The prize is considered for award, on an annual basis, to the best doctoral thesis submitted to a UK University, in the field of computer or natural vision.
• 2nd July 2015: Media coverage of SemanticPaint paper: gizmodo.com , popularmechanics , fastcodesign.com , softpedia.com , winbeta.org , engadget.com
• 30th June 2015: Semantic Paint paper for new interactive approach to 3D scene understanding accepted to ACM Transaction of Graphics (TOG).
• 29 June 2015: Media coverage of CRF and CNN paper: Play a fun game , Reddit , Desarrollan un sistema de reconocimiento de objetos en fotografÃ
• 29th June 2015: One paper accepted to IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
• 20th June 2015: I received IET Vision and Imaging PhD thesis award.
• 25th May 2015: ICRA paper was one of the finalist in the Best Robotic Vision Paper Award, IEEE Robotics and Automatic Conference (ICRA).
• May 2015: Recent work (CRF as RNN arXiv:1502.03240) setting a new state-of-art in semantic image segmentation on the PASCAL VOC 2010-2012 benchmarks. 2015.
• 20th April 2015: Semantic Paint Brush paper presented at ACM CHI conference.
• 12th Feb 2015: One paper submitted to arxiv on combining CRF and CNN.
• 31th Jan 2015: One paper accepted to ICRA on large scale semantic scene reconstruction.
• 24th Jan 2015: Started working as a postdoctoral researchers at Stanford University.