| Adversarial Multiple Source Domain Adaptation H Zhao, S Zhang, G Wu, JP Costeira, JMF Moura, GJ Gordon Neural Information Processing Systems (NIPS) 2018, 2018 | 656 | 2018 |
| Topology adaptive graph convolutional networks J Du, S Zhang, G Wu, JMF Moura, S Kar arXiv preprint arXiv:1710.10370, 2017 | 354 | 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 | 259 | 2017 |
| 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 | 253* | 2017 |
| 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 | 182 | 2017 |
| 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 | 151* | 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 | 30 | 2022 |
| Topology adaptive graph convolutional networks. arXiv 2017 J Du, S Zhang, G Wu, JM Moura, S Kar arXiv preprint arXiv:1710.10370, 2017 | 13 | 2017 |
| 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 | 3 | 2016 |
| 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 | | |
Shanghang ZhangEECS, UC BerkeleyVerified email at eecs.berkeley.edu
