Guanhang Wu

Computer Science · Physical Sciences

11h-index1.4kcitations23works0.02yr avg
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Research Topics

Video Surveillance and Tracking Methods(11), Human Pose and Action Recognition(8), Advanced Neural Network Applications(7), Domain Adaptation and Few-Shot Learning(7), Multimodal Machine Learning Applications(7)

Publications23 total

ParGANDA: Making Synthetic Pedestrians A Reality For Object Detection
arXiv (Cornell University)·2023Open Access
Learning from Weakly-Labeled Web Videos via Exploring Sub-concepts
Proceedings of the AAAI Conference on Artificial Intelligence·2022· 7 citedOpen Access
TDT: Teaching Detectors to Track without Fully Annotated Videos
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)·2022· 6 cited
The Auto Arborist Dataset: A Large-Scale Benchmark for Multiview Urban Forest Monitoring Under Domain Shift
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)·2022· 50 cited
TDT: Teaching Detectors to Track without Fully Annotated Videos
arXiv (Cornell University)·2022Open Access
Exploring Sub-Pseudo Labels for Learning from Weakly-Labeled Web Videos
2021
Learning from Weakly-labeled Web Videos via Exploring Sub-Concepts
arXiv (Cornell University)·2021Open Access
Context R-CNN: Long Term Temporal Context for Per-Camera Object Detection
2020· 6 citedOpen Access
文脈R-CNN:Cameraオブジェクト検出のための長期時間コンテキスト【JST・京大機械翻訳】
IEEE Conference Proceedings·2020
Context R-CNN: Long Term Temporal Context for Per-Camera Object\n Detection
arXiv (Cornell University)·2019· 1 citedOpen Access
Long Term Temporal Context for Per-Camera Object Detection
arXiv (Cornell University)·2019· 2 citedOpen Access
Multiple Source Domain Adaptation with Adversarial Learning
International Conference on Learning Representations·2018· 58 cited
Adversarial Multiple Source Domain Adaptation
Neural Information Processing Systems·2018· 333 cited
Topology Adaptive Graph Convolutional Networks
arXiv (Cornell University)·2017· 229 citedOpen Access
An empirical study of latency in an emerging class of edge computing applications for wearable cognitive assistance
2017· 208 citedOpen Access
FCN-rLSTM: Deep Spatio-Temporal Neural Networks for Vehicle Counting in City Cameras
2017· 224 cited
FCN-rLSTM: Deep Spatio-Temporal Neural Networks for Vehicle Counting in City Cameras
arXiv (Cornell University)·2017· 23 citedOpen Access
Understanding Traffic Density from Large-Scale Web Camera Data
2017· 135 cited
Multiple Source Domain Adaptation with Adversarial Training of Neural\n Networks
arXiv (Cornell University)·2017· 26 citedOpen Access
Multiple Source Domain Adaptation with Adversarial Training of Neural Networks
arXiv (Cornell University)·2017· 31 citedOpen Access
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Frequent Co-authors

Shanghang Zhang(9), José M. F. Moura(9), João Paulo Costeira(8), Sara Beery(5), Geoffrey J. Gordon(4), Ronny Votel(4), Han Zhao(3), Vivek Rathod(3), Jonathan Huang(3), Kunpeng Li(3), Zizhao Zhang(3), Xuehan Xiong(3), Chen‐Yu Lee(3), Yun Fu(3), Tomas Pfister(3), Zhichao Lu(2), Shuzhi Yu(2), Chunhui Gu(2), Mohammed E. Fathy(2), Huang Jonathan(2)