Alireza Fathi
Alireza is currently a staff research scientist at Google Research.
He was a Postdoctoral Fellow at FeiFei Li's team at the Computer Science Department at Stanford University.
He received his Ph.D. degree from Georgia Institute of Technology, and his B.Sc. degree from Sharif University of Technology.
Personal webpage: (http://ai.stanford.edu/~alireza/)
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Authored Publications
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Google
Panoptic Neural Fields: A Semantic Object-Aware Neural Scene Representation
Kyle Genova
Xiaoqi Yin
Leonidas Guibas
Frank Dellaert
Conference on Computer Vision and Pattern Recognition (2022)
Pillar-based Object Detection for Autonomous Driving
Yue Wang
Justin Solomon
ECCV (2020)
An LSTM Approach to Temporal 3D Object Detection in LiDAR Point Clouds
Rui Huang
Wanyue Zhang
ECCV (2020)
DOPS: Learning to Detect 3D Objects and Predict their 3D Shapes
Mahyar Najibi
Zhichao Lu
Vivek Mansing Rathod
Larry S. Davis
CVPR 2020
3D-MPA: Multi Proposal Aggregation for 3D Semantic Instance Segmentation
Francis Engelmann
Bastian Leibe
Matthias Niessner
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (2020)
Virtual Multi-view Fusion for 3D Semantic Segmentation
Xiaoqi(Michael) Yin
Brian Brewington
European Conference on Computer Vision (2020)
Floors are flat: Leveraging Semantics for Reliable and Real-Time Surface Normal Prediction
Proceedings of the IEEE International Conference on Computer Vision Workshops (2019)
The Devil is in the Decoder: Classification, Regression and GANs
Zbigniew Wojna
Vittorio Ferrari
Nathan Silberman
Liang-chieh Chen
IJCV (2019) (to appear)
Instance Embedding Transfer to Unsupervised Video Object Segmentation
Siyang Li
Alexey Vorobyov
Qin Huang
C.-C. Jay Kuo
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (2018)
