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A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
Pages
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Posts
portfolio
Analyzing Reddit Feeds with Data Science
Published:
publications
Attention Driven Vehicle Re-ID and Unsupervised Anomaly Detection for Traffic Understanding
Published in CVPRW - NVIDIA AI City Challenge, 2019
Recommended Citation: Khorramshahi P, Peri N, Kumar A, Shah A, Chellappa R. Attention Driven Vehicle Re-ID and Unsupervised Anomaly Detection for Traffic Understanding. In: Computer Vision and Pattern Recognition Workshops, CVPRW (2019)
A Dual-Path Model with Adaptive Attention for Vehicle Re-ID
Published in ICCV, 2019
Recommended Citation: Khorramshahi P, Kumar A, Peri N, Rambhatla SS, Chen JC, Chellappa R. A Dual-Path Model with Adaptive Attention for Vehicle Re-ID. In: International Conference on Computer Vision, ICCV (2019)
Towards Real-Time Systems for Vehicle Re-ID, Multi-Camera Tracking, and Anomaly Detection
Published in CVPRW - NVIDIA AI City Challenge, 2020
Recommended Citation: Peri N, Khorramshahi P, Rambhatla SS, Shenoy V, Rawat S, Chen JC, Chellappa R. Towards Real-Time Systems for Vehicle Re-ID, Multi-Camera Tracking, and Anomaly Detection. In: Computer Vision and Pattern Recognition Workshops, CVPRW (2020)
Deep K-NN Defense against Clean-Label Data Poisoning Attacks
Published in ECCVW - Adversarial Robustness in the Real World, 2020
Recommended Citation: Peri N, Gupta N, Huang WR, Fowl L, Zhu C, Feizi S, Goldstein T, Dickerson JP. Deep k-NN Defense against Clean-Label Data Poisoning Attacks. In: European Conference on Computer Vision Workshops, ECCVW (2020)
The Devil is in the Details: Self-Supervised Attention for Vehicle Re-ID
Published in ECCV, 2020
Recommended Citation: Khorramshahi P, Peri N, Chen JC, Chellappa R. The Devil is in the Details: Self-Sueprvised Attention for Vehicle Re-ID. In: European Conference on Computer Vision, ECCV (2020)
talks
teaching
Undergraduate Teaching Fellow (Spring 2019)
ENEE 244: Introduction to Digital Logic, ECE Department, 2019
- Led recitation for a discussion section of 15 students
- Received highest marks on metrics of preparedness, respect for students, and overall teaching effectiveness from all students