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Nikhil Mishra
Nikhil Mishra
Verified email at berkeley.edu - Homepage
Title
Cited by
Cited by
Year
A simple neural attentive meta-learner
N Mishra, M Rohaninejad, X Chen, P Abbeel
arXiv preprint arXiv:1707.03141, 2017
14592017
Pixelsnail: An improved autoregressive generative model
X Chen, N Mishra, M Rohaninejad, P Abbeel
International conference on machine learning, 864-872, 2018
2562018
Meta-learning with temporal convolutions
N Mishra, M Rohaninejad, X Chen, P Abbeel
arXiv preprint arXiv:1707.03141 2 (7), 23, 2017
1552017
Combining model-based policy search with online model learning for control of physical humanoids
I Mordatch, N Mishra, C Eppner, P Abbeel
2016 IEEE international conference on robotics and automation (ICRA), 242-248, 2016
692016
Prediction and control with temporal segment models
N Mishra, P Abbeel, I Mordatch
International conference on machine learning, 2459-2468, 2017
662017
Systems and methods for robotic picking
Y Duan, X Chen, M Rohaninejad, N Mishra, YX Liu, AA Vaziri, T Haoran, ...
US Patent App. 17/014,545, 2021
72021
Monte Carlo modeling of light propagation in the human head for applications in sinus imaging
AE Cerussi, N Mishra, J You, N Bhandarkar, B Wong
Journal of biomedical optics 20 (3), 035004-035004, 2015
72015
Autoregressive Uncertainty Modeling for 3D Bounding Box Prediction
YX Liu, N Mishra, M Sieb, Y Shentu, P Abbeel, X Chen
European Conference on Computer Vision, 673-694, 2022
42022
Training artificial networks for robotic picking
Y Duan, T Haoran, Y Shentu, N Mishra, X Chen
US Patent 11,911,901, 2024
22024
Convolutional Occupancy Models for Dense Packing of Complex, Novel Objects
N Mishra, P Abbeel, X Chen, M Sieb
2023 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2023
22023
Distributional Instance Segmentation: Modeling Uncertainty and High Confidence Predictions with Latent-MaskRCNN
YX Liu, N Mishra, P Abbeel, X Chen
2023 IEEE International Conference on Robotics and Automation (ICRA), 7069-7075, 2023
22023
Trajectory optimization using neural networks
T Haoran, X Chen, Y Duan, N Mishra, S Wu, M Sieb, Y Shentu
US Patent App. 17/193,820, 2021
22021
Trajectory optimization using neural networks
T Haoran, X Chen, Y Duan, N Mishra, S Wu, M Sieb, Y Shentu
US Patent App. 17/193,870, 2021
12021
Closing the Visual Sim-to-Real Gap with Object-Composable NeRFs
N Mishra, M Sieb, P Abbeel, X Chen
arXiv preprint arXiv:2403.04114, 2024
2024
Identifying scene correspondences with neural networks
M Sieb, N Mishra, R Duan
US Patent App. 17/161,399, 2021
2021
Confidence-based segmentation of multiple units
Y Liu, X Chen, N Mishra
US Patent App. 17/161,344, 2021
2021
Confidence-Based Bounding Boxes For Three Dimensional Objects
Y Liu, X Chen, N Mishra
US Patent App. 17/161,297, 2021
2021
Three-dimensional computer vision system for robotic devices
M Rohaninejad, N Mishra, YX Liu, Y Duan, AA Vaziri, X Chen
US Patent App. 17/014,321, 2021
2021
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