Підписатись
Guanhang Wu
Guanhang Wu
Google Inc / CMU Robotics
Підтверджена електронна адреса в google.com
Назва
Посилання
Посилання
Рік
Adversarial Multiple Source Domain Adaptation
H Zhao, S Zhang, G Wu, JP Costeira, JMF Moura, GJ Gordon
Neural Information Processing Systems (NIPS) 2018, 2018
6982018
Topology adaptive graph convolutional networks
J Du, S Zhang, G Wu, JMF Moura, S Kar
arXiv preprint arXiv:1710.10370, 2017
4002017
FCN-rLSTM: Deep Spatio-Temporal Neural Networks for Vehicle Counting in City Cameras
G Wu, S Zhang, JP Costeira, JMF Moura
International Conference on Computer Vision (ICCV) 2017, 2017
264*2017
An empirical study of latency in an emerging class of edge computing applications for wearable cognitive assistance
Z Chen, W Hu, J Wang, S Zhao, B Amos, G Wu, K Ha, K Elgazzar, P Pillai, ...
Proceedings of the Second ACM/IEEE Symposium on Edge Computing, 1-14, 2017
2602017
Understanding Traffic Density from Large-Scale Web Camera Data
S Zhang, G Wu, JP Costeira, JMF Moura
Computer Vision and Pattern Recognition (CVPR), 2017, 2017
1872017
Long Term Temporal Context for Per-Camera Object Detection
S Beery, G Wu, V Rathod, R Votel, J Huang
Computer Vision and Pattern Recognition (CVPR), 2020, 2019
160*2019
The auto arborist dataset: a large-scale benchmark for multiview urban forest monitoring under domain shift
S Beery, G Wu, T Edwards, F Pavetic, B Majewski, S Mukherjee, S Chan, ...
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022
462022
Scalable vision system for mouse homecage ethology
G Salem, J Krynitsky, B Kirkland, E Lin, A Chan, S Anfinrud, S Anderson, ...
Advanced Concepts for Intelligent Vision Systems: 17th International …, 2016
32016
The Auto-Arborist Dataset: A Large-Scale Benchmark for Generalizable, Multimodal Urban Forest Monitoring
SM Beery, G Wu, T Edwards, F Pavetić, B Majewski, S Mukherjee, S Chan, ...
2022
LONG TERM TEMPORAL CONTEXT FOR PER-CAMERA OBJECT DETECTION: SUPPLEMENTARY MATERIAL
S Beery, G Wu, V Rathod, R Votel, J Huang
Where the Wild Things Are: Computer Vision for Global-Scale Biodiversity …, 1844
1844
Improving computer vision for camera traps: Leveraging practitioner knowledge to build better models
S Beery, G Wu, V Rathod, R Votel, J Huang
2020 ESA Annual Meeting (August 3-6), 0
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