Yu, Gang

BiSeNet: Bilateral Segmentation Network for Real-Time Semantic Segmentation

Yu, C., Wang, J., Peng, C., Gao, C., Yu, G., & Sang, N. (2018) · Lecture Notes in Computer Science

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 2,968

BiSeNet V2: Bilateral Network with Guided Aggregation for Real-Time Semantic Segmentation

Yu, C., Gao, C., Wang, J., Yu, G., Shen, C., & Sang, N. (2021) · International Journal of Computer Vision

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 1,813

Large Kernel Matters — Improve Semantic Segmentation by Global Convolutional Network

Peng, C., Zhang, X., Yu, G., Luo, G., & Sun, J. (2017) · 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 1,750

SiamFC++: Towards Robust and Accurate Visual Tracking with Target Estimation Guidelines

Xu, Y., Wang, Z., Li, Z., Yuan, Y., & Yu, G. (2020) · Proceedings of the AAAI Conference on Artificial Intelligence

Video Surveillance and Tracking MethodsAdvanced Neural Network Applications

Cited by 974

Objects365: A Large-Scale, High-Quality Dataset for Object Detection

Shao, S., Li, Z., Zhang, T., Peng, C., Yu, G., Zhang, X., Li, J., & Sun, J. (2019) · 2019 IEEE/CVF International Conference on Computer Vision (ICCV)

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 673

CrowdHuman: A Benchmark for Detecting Human in a Crowd

Shao, S., Zhao, Z., Li, B., Xiao, T., Yu, G., Zhang, X., & Sun, J. (2018) · arXiv

Advanced Neural Network ApplicationsHuman Pose and Action Recognition

Cited by 534

MegDet: A Large Mini-Batch Object Detector

Peng, C., Xiao, T., Li, Z., Jiang, Y., Zhang, X., Jia, K., Yu, G., & Sun, J. (2018) · 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 311

Class-balanced Grouping and Sampling for Point Cloud 3D Object Detection

Zhu, B., Jiang, Z., Zhou, X., Li, Z., & Yu, G. (2019) · arXiv

Advanced Neural Network Applications3D Shape Modeling and Analysis

Cited by 297

ThunderNet: Towards Real-Time Generic Object Detection on Mobile Devices

Qin, Z., Li, Z., Zhang, Z., Bao, Y., Yu, G., Peng, Y., & Sun, J. (2019) · 2019 IEEE/CVF International Conference on Computer Vision (ICCV)

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 295

Light-Head R-CNN: In Defense of Two-Stage Object Detector

Li, Z., Peng, C., Yu, G., Zhang, X., Deng, Y., & Sun, J. (2017) · arXiv

Advanced Neural Network ApplicationsVisual Attention and Saliency Detection

Cited by 292

LL3DA: Visual Interactive Instruction Tuning for Omni-3D Understanding, Reasoning, and Planning

Chen, S., Chen, X., Zhang, C., Li, M., Yu, G., Fei, H., Zhu, H., Fan, J., & Chen, T. (2024) · 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Multimodal Machine Learning Applications3D Shape Modeling and Analysis

Cited by 92