| Adverarial Examples: Attacks and Defenses for Deep Learning X Yuan, P He, Q Zhu, X Li IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2017 | 1993 | 2017 |
| Detecting Text in Natural Image with Connectionist Text Proposal Network Z Tian, W Huang, T He, P He, Y Qiao Proceedings of European Conference on Computer Vision (ECCV-16), 2016 | 1202 | 2016 |
| Single Shot Text Detector with Regional Attention P He, W Huang, T He, Q Zhu, Y Qiao, X Li Proceedings of International Conference on Computer Vision (ICCV-17), 2017 | 376 | 2017 |
| Reading Scene Text in Deep Convolutional Sequences P He*, W Huang*, Y Qiao, CC Loy, X Tang Proceedings of AAAI Conference on Artificial Intelligence (AAAI-16), 2016 | 372 | 2016 |
| Intelligent Intersection: Two-Stream Convolutional Networks for Real-time Near Accident Detection in Traffic Video X Huang, P He, A Rangarajan, S Ranka ACM Transactions on Spatial Algorithms and Systems (TSAS), 2018 | 100 | 2018 |
| Efficient Iterative Amortized Inference for Learning Symmetric and Disentangled Multi-Object Representations P Emami, P He, S Ranka, A Rangarajan International Conference on Machine Learning (ICML), 2021 | 49 | 2021 |
| Adaptive Adversarial Attack on Scene Text Recognition X Yuan, P He, X Li, D Wu The Eighth International Workshop on Security and Privacy in Big Data in …, 2018 | 26 | 2018 |
| Learning Scene Dynamics from Point Cloud Sequences P He, P Emami, S Ranka, A Rangarajan International Journal of Computer Vision (IJCV), 2021 | 20 | 2021 |
| Learning Fast and Slow: PROPEDEUTICA for Real-time Malware Detection R Sun, X Yuan, P He, Q Zhu, A Chen, A Gregio, D Oliveira, X Li IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2021 | 18 | 2021 |
| Deep Learning based Geometric Features for Effective Truck Selection and Classification from Highway Videos P He, A Wu, X Huang, J Scott, A Rangarajan, S Ranka Intelligent Transportation Systems Conference (ITSC-19), 2019 | 15 | 2019 |
| Truck and Trailer Classification with Deep Learning based Geometric Features P He, A Wu, X Huang, J Scott, A Rangarajan, S Ranka IEEE Transactions on Intelligent Transportation Systems (T-ITS), 2019 | 14 | 2019 |
| Self-Supervised Robust Scene Flow Estimation via the Alignment of Probability Density Functions P He, P Emami, S Ranka, A Rangarajan AAAI Conference on Artificial Intelligence (AAAI-22), 2021 | 12 | 2021 |
| Machine Learning-based Highway Truck Commodity Classification Using Logo Data P He*, A Wu*, X Huang, A Rangarajan, S Ranka Applied Sciences, 2022 | 9 | 2022 |
| Machine Learning based Real-time Multi-Camera Vehicle Tracking and Travel Time Estimation X Huang, P He, A Rangarajan, S Ranka Journal of Imaging, 2022 | 8 | 2022 |
| Boosting up Scene Text Detectors with Guided CNN X Yue, Z Kuang, Z Zhang, Z Chen, P He, Y Qiao, W Zhang British Machine Vision Conference (BMVC-18), 2018 | 8 | 2018 |
| Apparatus and Method for Detecting Scene Text in An Image X Li, P He US Patent 10,679,085, 2020 | 7 | 2020 |
| Video-based Machine Learning System for Commodity Classification P He, A Wu, X Huang, A Rangarajan, S Ranka Proceedings of Vehicle Technology and Intelligent Transportation System (VEHITS), 2019 | 7 | 2019 |
| An Efficient Semi-Automated Scheme for Infrastructure LiDAR Annotation A Wu, P He†, X Li, K Chen, S Ranka, A Rangarajan IEEE Transactions on Intelligent Transportation Systems (T-ITS), 2024 | 6 | 2024 |
| Expressing Linear Equality Constraints in Feedforward Neural Networks A Rangarajan, P He, J Lee, T Banerjee, S Ranka arXiv preprint arXiv:2211.04395, 2022 | 5 | 2022 |
| Automated Truck Taxonomy Classification Using Deep Convolutional Neural Networks A Almutairi*, P He*, A Rangarajan, S Ranka International Journal of Intelligent Transportation Systems Research, 2022 | 5 | 2022 |
Anand RangarajanProfessor, Dept. of CISE, Univ. of Florida在 cise.ufl.edu 的电子邮件经过验证
