Page Not Found
Error 404
Sitemap
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
Page not in menu
This is a page not in th emain menu
Posts
portfolio
Analyzing Reddit Feeds with Data Science
Published:
Scene Recognition with Limited Data
Published:
CVPR 2023 End-to-End Forecasting Challenge
Published:
CVPR 2024 End-to-End Forecasting Challenge
Published:
CVPR 2025 Scenario Mining Challenge
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
A Synthesis Based Approach for Thermal-to-Visible Face Verification
Published in FG, 2021
Recommended Citation: Peri N, Gleason J, Castillo CD, Bourlai T. Patel VM, Chellappa R. A Synthesis Based Approach for Thermal-to-Visible Face Verification. In: IEEE International Conference on Automatic Face and Gesture Recognition, FG 2021
PreferenceNet: Encoding Human Preferences in Auction Design with Deep Learning
Published in NeurIPS, 2021
Recommended Citation: Peri N, Curry MJ, Dooley S, Dickerson JP. PreferenceNet: Encoding Human Preferences in Auction Design with Deep Learning. In: Neural Information Processing Systems, NeurIPS 2021
Assessment of a Novel Virtual Environment for Examining Human Cognitive-Motor Performance during Execution of Action Sequences
Published in HCII, 2022
Recommended Citation: Shaver A, Peri N, Mezebish R, Matthew G, Berson A, Gaskins C, Davis GP, Katz GE, Samuel I, Reinhard MJ, Costanzo ME, Reggia JA, Purtilo J, Gentili RJ. Assessment of a Novel Virtual Environment for Examining Human Cognitive-Motor Performance during Execution of Action Sequences. In: International Conference on Human Computer Interaction, HCII 2022
Forecasting from LiDAR via Future Object Detection
Published in CVPR, 2022
Recommended Citation: Peri N, Jonathon Luiten, Mentian Li, Aljosa Osep, Laura Leal-Taixe, Deva Ramanan. Forecasting from LiDAR via Future Object Detection. In: International Conference on Computer Vision and Pattern Recognition, CVPR 2022
Towards Long-Tailed 3D Detection
Published in CoRL, 2022
Recommended Citation: Peri N, Dave A, Ramanan D, Kong S. Towards Long Tailed 3D Detection. In: Conference on Robot Learning, CoRL 2022
MSR Thesis: Long-Tailed 3D Detection via Multi-Modal Fusion
Published in CMU, 2023
Recommended Citation: Peri N. Long-Tailed 3D Detection via Multi-Modal Fusion. Carnegie Mellon University. 2023
An Empirical Analysis of Range for 3D Object Detection
Published in ICCVW, 2023
Recommended Citation: Peri N, Li M, Wilson B, Wang YX, Hays J, Ramanan D. An Empirical Analysis of Range for 3D Object Detection. In: International Conference on Computer Vision Workshops, ICCVW 2023
ZeroFlow: Scalable Scene Flow via Distillation
Published in ICLR, 2024
Recommended Citation: Vedder K, Peri N, Chodosh N, Khatri I, Eaton E, Jayaraman D, Liu Y, Ramanan D, Hays J. ZeroFlow: Scalable Scene Flow via Distillation. In: International Conference on Representation Learning, ICLR 2024
Semi-Supervised Federated Multi-Organ Segmentation with Partial Labels
Published in AAPM, 2024
Recommended Citation: Pemmaraju R, Peri N. Semi-Supervised Federated Multi-Organ Segmentation with Partial Labels. In: American Association of Physicists in Medicine, AAPM 2024
Better Call SAL: Towards Learning to Segment Anything in LiDAR
Published in ECCV, 2024
Recommended Citation: Osep A, Meinhardt T, Ferroni F, Peri N, Ramanan D, Leal-Taixe L. Better Call SAL: Towards Learning to Segment Anything in LiDAR. In: European Conference on Computer Vision, ECCV 2024
I Cant Believe Its Not Scene Flow!
Published in ECCV, 2024
Recommended Citation: Vedder K, Khatri I, Peri N, Ramanan D, Hays J. I Cant Believe Its Not Scene Flow! In: European Conference on Computer Vision, ECCV 2024
Revisiting Few-Shot Object Detection with Vision-Language Models
Published in NeurIPS, 2024
Recommended Citation: Madan A, Peri N, Kong S, Ramanan D. Revisiting Few-Shot Object Detection with Vision-Language Models In: Neural Information Processing Systems, NeurIPS 2024
Shelf-Supervised Cross-Modal Pre-Training for 3D Object Detection
Published in CoRL, 2024
Recommended Citation: Khurana M, Peri N, Hays J, Ramanan D. Shelf-Supervised Cross-Modal Pre-Training for 3D Object Detection. In: Conference on Robot Learning, CoRL 2024
Planning with Adaptive World Models for Autonomous Driving
Published in ICRA, 2025
Recommended Citation: AB Vasudevan, Peri N, J Schneider, Ramanan D. Planning with Adaptive World Models for Autonomous Driving In: International Conference on Robotics and Automation, ICRA 2025
Neural Eulerian Scene Flow Fields
Published in ICLR, 2025
Recommended Citation: Vedder K, Peri N, Khatri I, S Li, E Eaton, M Kocamaz, Y Wang, Ramanan D, J Pehserl. Neural Eulerian Scene Flow Fields In: International Conference on Learning Representations, ICLR 2025
Long-Tailed 3D Detection via Multi-Modal Fusion
Published in Under Review at TPAMI, 2025
Recommended Citation: Ma Y, Peri N, Dave A, Hua W, Ramanan D, Kong S. Long-Tailed 3D Detection via Multi-Modal Fusion. Under Review at TPAMI
Towards Learning to Complete Anything in LiDAR
Published in ICML, 2025
Recommended Citation: A Takmaz, C Saltori, N Peri, T Meinhardt, RD Lutio, L Leal-Taixe, A Osep. Towards Learning to Complete Anything in LiDAR In: International Conference on Machine Learning, ICML 2025
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
Head Graduate Teaching Assistant (Spring 2022)
16-720B: Computer Vision, Robotics Institute, 2022
- Managed team of teaching assistants to effectively coordinate course responsibilities
- Updated course projects, held office hours, answered student questions and graded course projects
- Presented guest lectures on Training Convolutional Neural Networks and Transformers for Vision
Head Graduate Teaching Assistant (Fall 2022)
16-720A: Computer Vision, Robotics Institute, 2022
- Managed team of teaching assistants to effectively coordinate course responsibilities
- Updated course projects, held office hours, answered student questions and graded course projects
- Presented guest lectures on Image Processing and Convolutions