Feng Zhou

Orcid: 0000-0002-1132-5877

Affiliations:
  • Baidu Research, Sunnyvale, CA, USA
  • NEC Lab, Cupertino, CA, USA (2014 - 2016)
  • Carnegie Mellon University, Robotics Institute, Pittsburgh, PA, USA (PhD 2014)


According to our database1, Feng Zhou authored at least 36 papers between 2008 and 2023.

Collaborative distances:

Timeline

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Bibliography

2023
Energy Efficient Speed Planning of Electric Vehicles for Vehicle-Following Scenarios Using Data-driven Koopman Model.
Proceedings of the IEEE Intl Conf on Parallel & Distributed Processing with Applications, 2023

Hierarchical Data-driven Predictive Control Strategy for Energy Management of Electric Vehicles.
Proceedings of the IEEE Intl Conf on Parallel & Distributed Processing with Applications, 2023

Improving Crowded Object Detection via Copy-Paste.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Improving Federated Learning Face Recognition via Privacy-Agnostic Clusters.
Proceedings of the Tenth International Conference on Learning Representations, 2022

2021
Body-Face Joint Detection via Embedding and Head Hook.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

MagFace: A Universal Representation for Face Recognition and Quality Assessment.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
Driving Intention Oriented Real-time Energy Management Strategy for PHEV in Urban V2X Scenario.
Proceedings of the 2020 International Conferences on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, 2020

Matching Guided Distillation.
Proceedings of the Computer Vision - ECCV 2020, 2020

Visible Feature Guidance for Crowd Pedestrian Detection.
Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020

2019
A Refined 3D Pose Dataset for Fine-Grained Object Categories.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

Recognizing Part Attributes With Insufficient Data.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2018
Improving Annotation for 3D Pose Dataset of Fine-Grained Object Categories.
CoRR, 2018

Compact Generalized Non-local Network.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Fine-Grained Video Categorization with Redundancy Reduction Attention.
Proceedings of the Computer Vision - ECCV 2018, 2018

3D Pose Estimation for Fine-Grained Object Categories.
Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018

Multi-Attention Multi-Class Constraint for Fine-grained Image Recognition.
Proceedings of the Computer Vision - ECCV 2018, 2018

2017
Dynamic Computational Time for Visual Attention.
Proceedings of the 2017 IEEE International Conference on Computer Vision Workshops, 2017

Deep Metric Learning with Angular Loss.
Proceedings of the IEEE International Conference on Computer Vision, 2017

Kernel Pooling for Convolutional Neural Networks.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016
Factorized Graph Matching.
IEEE Trans. Pattern Anal. Mach. Intell., 2016

Spatio-Temporal Matching for Human Pose Estimation in Video.
IEEE Trans. Pattern Anal. Mach. Intell., 2016

Generalized Canonical Time Warping.
IEEE Trans. Pattern Anal. Mach. Intell., 2016

Fine-Grained Image Classification by Exploring Bipartite-Graph Labels.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Embedding Label Structures for Fine-Grained Feature Representation.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Fine-Grained Categorization and Dataset Bootstrapping Using Deep Metric Learning with Humans in the Loop.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2014
Spatial, Temporal and Spatio-Temporal Correspondence for Computer Vision Problems.
PhD thesis, 2014

Spatio-temporal Matching for Human Detection in Video.
Proceedings of the Computer Vision - ECCV 2014, 2014

2013
Hierarchical Aligned Cluster Analysis for Temporal Clustering of Human Motion.
IEEE Trans. Pattern Anal. Mach. Intell., 2013

Deformable Graph Matching.
Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

2012
Unsupervised Temporal Commonality Discovery.
Proceedings of the Computer Vision - ECCV 2012, 2012

Generalized time warping for multi-modal alignment of human motion.
Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

2010
Unsupervised summarization of rushes videos.
Proceedings of the 18th International Conference on Multimedia 2010, 2010

Unsupervised discovery of facial events.
Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010

2009
Canonical Time Warping for Alignment of Human Behavior.
Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009

Detecting depression from facial actions and vocal prosody.
Proceedings of the Affective Computing and Intelligent Interaction, 2009

2008
Aligned Cluster Analysis for temporal segmentation of human motion.
Proceedings of the 8th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2008), 2008


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