Huang, Jonathan

Speed/Accuracy Trade-Offs for Modern Convolutional Object Detectors

Huang, J., Rathod, V., Sun, C., Zhu, M., Korattikara, A., Fathi, A., Fischer, I., Wojna, Z., Song, Y., Guadarrama, S., et al. (2017) · 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 2,743

Tuned Models of Peer Assessment in MOOCs

Piech, C., Huang, J., Chen, Z., Do, C., Ng, A., & Koller, D. (2013) · arXiv

Online Learning and AnalyticsStudent Assessment and Feedback

Cited by 262

RetinaTrack: Online Single Stage Joint Detection and Tracking

Lu, Z., Rathod, V., Votel, R., & Huang, J. (2020) · 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Video Surveillance and Tracking MethodsAutonomous Vehicle Technology and Safety

Cited by 254

Progressive Neural Architecture Search

Liu, C., Zoph, B., Neumann, M., Shlens, J., Hua, W., Li, L.-J., Fei-Fei, L., Yuille, A., Huang, J., & Murphy, K. (2017) · arXiv

Advanced Neural Network ApplicationsMachine Learning and Data Classification

Cited by 171

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

Beery, S., Wu, G., Rathod, V., Votel, R., & Huang, J. (2020) · 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Advanced Neural Network ApplicationsVideo Surveillance and Tracking Methods

Cited by 140

Generative Models of Visually Grounded Imagination

Vedantam, R., Fischer, I., Huang, J., & Murphy, K. (2017) · arXiv

Generative Adversarial Networks and Image SynthesisAdvanced Neural Network Applications

Cited by 81