Guanhang Wu

According to our database, Guanhang Wu authored at least 14 papers between 2016 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

ParGANDA: Making Synthetic Pedestrians A Reality For Object Detection.

Daria Reshetova, Guanhang Wu, Marcel Puyat, Chunhui Gu, Huizhong Chen

CoRR, 2023

2022

TDT: Teaching Detectors to Track without Fully Annotated Videos.

Shuzhi Yu, Guanhang Wu, Chunhui Gu, Mohammed E. Fathy

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

The Auto Arborist Dataset: A Large-Scale Benchmark for Multiview Urban Forest Monitoring Under Domain Shift.

Sara Beery, Guanhang Wu, Trevor Edwards, Filip Pavetic, Bo Majewski, Shreyasee Mukherjee, Stanley Chan, John Morgan, Vivek Rathod, Jonathan Huang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Learning from Weakly-Labeled Web Videos via Exploring Sub-concepts.

Kunpeng Li, Zizhao Zhang, Guanhang Wu, Xuehan Xiong, Chen-Yu Lee, Zhichao Lu, Yun Fu, Tomas Pfister

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2020

Context R-CNN: Long Term Temporal Context for Per-Camera Object Detection.

Sara Beery, Guanhang Wu, Vivek Rathod, Ronny Votel, Jonathan Huang

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Long Term Temporal Context for Per-Camera Object Detection.

Sara Beery, Guanhang Wu, Vivek Rathod, Ronny Votel, Jonathan Huang

CoRR, 2019

2018

Adversarial Multiple Source Domain Adaptation.

Han Zhao, Shanghang Zhang, Guanhang Wu, José M. F. Moura, João Paulo Costeira, Geoffrey J. Gordon

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Multiple Source Domain Adaptation with Adversarial Learning.

Han Zhao, Shanghang Zhang, Guanhang Wu, João Paulo Costeira, José M. F. Moura, Geoffrey J. Gordon

Proceedings of the 6th International Conference on Learning Representations, 2018

2017

Topology adaptive graph convolutional networks.

Jian Du, Shanghang Zhang, Guanhang Wu, José M. F. Moura, Soummya Kar

CoRR, 2017

Multiple Source Domain Adaptation with Adversarial Training of Neural Networks.

Han Zhao, Shanghang Zhang, Guanhang Wu, João Paulo Costeira, José M. F. Moura, Geoffrey J. Gordon

CoRR, 2017

FCN-rLSTM: Deep Spatio-Temporal Neural Networks for Vehicle Counting in City Cameras.

Shanghang Zhang, Guanhang Wu, João Paulo Costeira, José M. F. Moura

Proceedings of the IEEE International Conference on Computer Vision, 2017

An empirical study of latency in an emerging class of edge computing applications for wearable cognitive assistance.

Zhuo Chen, Wenlu Hu, Junjue Wang, Siyan Zhao, Brandon Amos, Guanhang Wu, Kiryong Ha, Khalid Elgazzar, Padmanabhan Pillai, Roberta L. Klatzky, Daniel P. Siewiorek, Mahadev Satyanarayanan

Proceedings of the Second ACM/IEEE Symposium on Edge Computing, San Jose / Silicon Valley, 2017

Understanding Traffic Density from Large-Scale Web Camera Data.

Shanghang Zhang, Guanhang Wu, João Paulo Costeira, José M. F. Moura

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016

Scalable Vision System for Mouse Homecage Ethology.

Ghadi Salem, Jonathan Krynitsky, Brett Kirkland, Eugene Lin, Aaron Chan, Simeon Anfinrud, Sarah Anderson, Marcial Garmendia-Cedillos, Rhamy Belayachi, Juan Alonso-Cruz, Joshua Yu, Anthony Iano-Fletcher, George Dold, Tom Talbot, Alexxai V. Kravitz, James B. Mitchell, Guanhang Wu, John U. Dennis, Monson Hayes, Kristin Branson, Thomas Pohida

Proceedings of the Advanced Concepts for Intelligent Vision Systems, 2016