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PI-Net: A Deep Learning Approach to Extract Topological Persistence Images.

A. Som, H. Choi, K. Ramamurthy, M. Buman, and P. Turaga. CVPR Workshops, page 3639-3648. Computer Vision Foundation / IEEE, (2020)

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Hongjun Chen

Hongjun Pu

Hongjun Ren

Hongjun Fan

Hongjun Li

Other publications of authors with the same name

Fusion Is Not Enough: Single Modal Attacks on Fusion Models for 3D Object Detection.Z. Cheng, H. Choi, S. Feng, J. Liang, G. Tao, D. Liu, M. Zuzak, and X. Zhang. ICLR, OpenReview.net, (2024)RVPLAYER: Robotic Vehicle Forensics by Replay with What-if Reasoning.H. Choi, Z. Cheng, and X. Zhang. NDSS, The Internet Society, (2022)Software-based Realtime Recovery from Sensor Attacks on Robotic Vehicles.H. Choi, S. Kate, Y. Aafer, X. Zhang, and D. Xu. RAID, page 349-364. USENIX Association, (2020)Detecting Attacks Against Robotic Vehicles: A Control Invariant Approach.H. Choi, W. Lee, Y. Aafer, F. Fei, Z. Tu, X. Zhang, D. Xu, and X. Deng. CCS, page 801-816. ACM, (2018)Enhancing Accuracy and Parameter-Efficiency of Neural Representations for Network Parameterization.H. Choi, J. Thiagarajan, R. Glatt, and S. Liu. CoRR, (2024)Topological Persistence Guided Knowledge Distillation for Wearable Sensor Data.E. Jeon, H. Choi, A. Shukla, Y. Wang, H. Lee, M. Buman, and P. Turaga. CoRR, (2024)PI-Net: A Deep Learning Approach to Extract Topological Persistence Images.A. Som, H. Choi, K. Ramamurthy, M. Buman, and P. Turaga. CVPR Workshops, page 3639-3648. Computer Vision Foundation / IEEE, (2020)AMC-Loss: Angular Margin Contrastive Loss for Improved Explainability in Image Classification.H. Choi, A. Som, and P. Turaga. CVPR Workshops, page 3659-3666. Computer Vision Foundation / IEEE, (2020)Cyber-Physical Inconsistency Vulnerability Identification for Safety Checks in Robotic Vehicles.H. Choi, S. Kate, Y. Aafer, X. Zhang, and D. Xu. CCS, page 263-278. ACM, (2020)Physical Attack on Monocular Depth Estimation with Optimal Adversarial Patches.Z. Cheng, J. Liang, H. Choi, G. Tao, Z. Cao, D. Liu, and X. Zhang. ECCV (38), volume 13698 of Lecture Notes in Computer Science, page 514-532. Springer, (2022)

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Disambiguation of "Choi, Hongjun"

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PI-Net: A Deep Learning Approach to Extract Topological Persistence Images.

Please choose a person to relate this publication to

Hongjun Chen

Hongjun Pu

Hongjun Ren

Hongjun Fan

Hongjun Li

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Choi, Hongjun"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML PI-Net: A Deep Learning Approach to Extract Topological Persistence Images.

Please choose a person to relate this publication to

Hongjun Chen

Hongjun Pu

Hongjun Ren

Hongjun Fan

Hongjun Li

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
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URL
DOI
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APA
Chicago
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PI-Net: A Deep Learning Approach to Extract Topological Persistence Images.