Bignas: Scaling up neural architecture search with big single-stage models J Yu, P Jin, H Liu, G Bender, PJ Kindermans, M Tan, T Huang, X Song, ... Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 283 | 2020 |
Spinenet: Learning scale-permuted backbone for recognition and localization X Du, TY Lin, P Jin, G Ghiasi, M Tan, Y Cui, QV Le, X Song Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 233 | 2020 |
A model-based image reconstruction algorithm with simultaneous beam hardening correction for X-ray CT P Jin, CA Bouman, KD Sauer IEEE Transactions on Computational Imaging 1 (3), 200-216, 2015 | 192 | 2015 |
TensorFlow model garden H Yu, C Chen, X Du, Y Li, A Rashwan, L Hou, P Jin, F Yang, F Liu, J Kim, ... Model Garden for TensorFlow., 2020 | 82 | 2020 |
Comisr: Compression-informed video super-resolution Y Li, P Jin, F Yang, C Liu, MH Yang, P Milanfar Proceedings of the IEEE/CVF international conference on computer vision …, 2021 | 37 | 2021 |
A model-based 3D multi-slice helical CT reconstruction algorithm for transportation security application P Jin, E Haneda, CA Bouman, KD Sauer Second International Conference on Image Formation in X-Ray Computed Tomography, 2012 | 27 | 2012 |
A Method for Simultaneous Image Reconstruction and Bea Hardening Correction P Jin, CA Bouman, KD Sauer Algorithm Development for Security Applications (ADSA) Workshop 09, 2013 | 22 | 2013 |
Joint Metal Artifact Reduction and Segmentation of CT Images using Dictionary-Based Image Prior and Continuous-Relaxed Potts Model P Jin, DH Ye, CA Bouman IEEE International Conference on Image Processing (ICIP), 2015 | 20 | 2015 |
Pooling pyramid network for object detection P Jin, V Rathod, X Zhu arXiv preprint arXiv:1807.03284, 2018 | 18 | 2018 |
Innovative data weighting for iterative reconstruction in a helical CT security baggage scanner SJ Kisner, P Jin, CA Bouman, K Sauer, W Garms, T Gable, S Oh, ... 2013 47th International Carnahan Conference on Security Technology (ICCST), 1-5, 2013 | 18 | 2013 |
TensorFlow model garden. 2020 H Yu, C Chen, X Du, Y Li, A Rashwan, L Hou, P Jin, F Yang, F Liu, J Kim, ... URL https://github. com/tensorflow/models, 2020 | 12 | 2020 |
Implicit Gibbs prior models for tomographic reconstruction P Jin, E Haneda, CA Bouman 2012 Conference Record of the Forty Sixth Asilomar Conference on Signals …, 2012 | 11 | 2012 |
Model-Based Iteartive Reconstruction (MBIR) Software for X-ray CT P Jin, K S. J., F T, CA Bouman https://engineering.purdue.edu/~bouman/software/tomography/mbirct/, 2013 | 6 | 2013 |
Efficient scale-permuted backbone with learned resource distribution X Du, TY Lin, P Jin, Y Cui, M Tan, Q Le, X Song Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 4 | 2020 |
Single-stage model training for neural architecture search YU Jiahui, P Jin, H Liu, GM Bender, PJ Kindermans, M Tan, X Song, ... US Patent App. 17/613,773, 2022 | 2 | 2022 |
Model-Based Image Processing Algorithms for CT Image Reconstruction, Artifact Reduction and Segmentation P Jin Purdue University, 2015 | 2 | 2015 |
Scaling Up Neural Architecture Search with Big Single-Stage Models J Yu, P Jin, H Liu, G Bender, PJ Kindermans, M Tan, T Huang, X Song, ... | 1 | 2019 |
Compression-Informed Video Super-Resolution Y Li, P Milanfar, F Yang, C Liu, MH Yang, P Jin US Patent App. 18/256,837, 2024 | | 2024 |
Scale-Permuted Machine Learning Architecture X Du, Y Cui, TY Lin, QV Le, P Jin, M Tan, G Ghiasi, X Song US Patent App. 17/061,355, 2022 | | 2022 |
MODEL-BASED IMAGE PROCESSING ALGORITHMS FOR CT IMAGE P Jin Purdue University West Lafayette, 2015 | | 2015 |