Yu, Fisher

Multi-scale context aggregation by dilated convolutions

Yu, F., & Koltun, V. (2015) · arXiv

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 7,738

BDD100K: A Diverse Driving Dataset for Heterogeneous Multitask Learning

Yu, F., Chen, H., Wang, X., Xian, W., Chen, Y., Liu, F., Madhavan, V., & Darrell, T. (2020) · 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 2,641

ShapeNet: An Information-Rich 3D Model Repository

Chang, A. X., Funkhouser, T., Guibas, L., Hanrahan, P., Huang, Q., Li, Z., Savarese, S., Savva, M., Song, S., Su, H., et al. (2015) · arXiv

3D Shape Modeling and AnalysisImage Processing and 3D Reconstruction

Cited by 2,330

RePaint: Inpainting using Denoising Diffusion Probabilistic Models

Lugmayr, A., Danelljan, M., Romero, A., Yu, F., Timofte, R., & Van Gool, L. (2022) · 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Generative Adversarial Networks and Image SynthesisDigital Media Forensic Detection

Cited by 1,778

End-to-End Learning of Driving Models from Large-Scale Video Datasets

Xu, H., Gao, Y., Yu, F., & Darrell, T. (2017) · 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

Autonomous Vehicle Technology and SafetyReinforcement Learning in Robotics

Cited by 884

Exploring Cross-Image Pixel Contrast for Semantic Segmentation

Wang, W., Zhou, T., Yu, F., Dai, J., Konukoglu, E., & Gool, L. V. (2021) · 2021 IEEE/CVF International Conference on Computer Vision (ICCV)

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 604

Quasi-Dense Similarity Learning for Multiple Object Tracking

Pang, J., Qiu, L., Li, X., Chen, H., Li, Q., Darrell, T., & Yu, F. (2021) · 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Video Surveillance and Tracking MethodsAutonomous Vehicle Technology and Safety

Cited by 480

Joint Monocular 3D Vehicle Detection and Tracking

Hu, H.-N., Cai, Q.-Z., Wang, D., Lin, J., Sun, M., Kraehenbuehl, P., Darrell, T., & Yu, F. (2019) · 2019 IEEE/CVF International Conference on Computer Vision (ICCV)

Autonomous Vehicle Technology and SafetyVideo Surveillance and Tracking Methods

Cited by 249

BDD100K: A Diverse Driving Dataset for Heterogeneous Multitask Learning

Yu, F., Chen, H., Wang, X., Xian, W., Chen, Y., Liu, F., Madhavan, V., & Darrell, T. (2018) · arXiv

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 204

Scaling vision transformers to 22 billion parameters

Dehghani, M., Djolonga, J., Mustafa, B., Padlewski, P., Heek, J., Gilmer, J., Steiner, A., Caron, M., Geirhos, R., Alabdulmohsin, I., et al. (2023) · arXiv

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 112

BiBench: Benchmarking and Analyzing Network Binarization

Qin, H., Zhang, M., Ding, Y., Li, A., Cai, Z., Liu, Z., Yu, F., & Liu, X. (2023) · arXiv

Advanced Neural Network ApplicationsAdvanced Memory and Neural Computing

Cited by 34