Neehar Peri

According to our database, Neehar Peri authored at least 20 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Data and Algorithms for End-to-End Thermal Spectrum Face Verification.

Thirimachos Bourlai, Jacob Rose, Suha Reddy Mokalla, Ananya Zabin, Lawrence A. Hornak, Christopher B. Nalty, Neehar Peri, Joshua Gleason, Carlos Domingo Castillo, Vishal M. Patel, Rama Chellappa

IEEE Trans. Biom. Behav. Identity Sci., January, 2024

Better Call SAL: Towards Learning to Segment Anything in Lidar.

Aljosa Osep, Tim Meinhardt, Francesco Ferroni, Neehar Peri, Deva Ramanan, Laura Leal-Taixé

CoRR, 2024

I Can't Believe It's Not Scene Flow!

Ishan Khatri, Kyle Vedder, Neehar Peri, Deva Ramanan, James Hays

CoRR, 2024

2023

Revisiting Few-Shot Object Detection with Vision-Language Models.

Anish Madan, Neehar Peri, Shu Kong, Deva Ramanan

CoRR, 2023

Long-Tailed 3D Detection via 2D Late Fusion.

Yechi Ma, Neehar Peri, Shuoquan Wei, Wei Hua, Deva Ramanan, Yanan Li, Shu Kong

CoRR, 2023

ZeroFlow: Fast Zero Label Scene Flow via Distillation.

Kyle Vedder, Neehar Peri, Nathaniel Chodosh, Ishan Khatri, Eric Eaton, Dinesh Jayaraman, Yang Liu, Deva Ramanan, James Hays

CoRR, 2023

An Empirical Analysis of Range for 3D Object Detection.

Neehar Peri, Mengtian Li, Benjamin Wilson, Yu-Xiong Wang, James Hays, Deva Ramanan

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

ReBound: An Open-Source 3D Bounding Box Annotation Tool for Active Learning.

Wesley Chen, Andrew Edgley, Raunak Hota, Joshua Liu, Ezra Schwartz, Aminah Yizar, James Purtilo, Neehar Peri

Proceedings of the Workshop on Intervening, 2023

2022

Assessment of a Novel Virtual Environment for Examining Human Cognitive-Motor Performance During Execution of Action Sequences.

Alexandra A. Shaver, Neehar Peri, Remy Mezebish, George Matthew, Alyza Berson, Christopher Gaskins, Gregory P. Davis, Garrett E. Katz, Immanuel Samuel, Matthew J. Reinhard, Michelle E. Costanzo, James A. Reggia, James Purtilo, Rodolphe J. Gentili

Proceedings of the Augmented Cognition, 2022

Forecasting from LiDAR via Future Object Detection.

Neehar Peri, Jonathon Luiten, Mengtian Li, Aljosa Osep, Laura Leal-Taixé, Deva Ramanan

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Towards Long-Tailed 3D Detection.

Neehar Peri, Achal Dave, Deva Ramanan, Shu Kong

Proceedings of the Conference on Robot Learning, 2022

A Brief Survey on Person Recognition at a Distance.

Chrisopher B. Nalty, Neehar Peri, Joshua Gleason, Carlos Domingo Castillo, Shuowen Hu, Thirimachos Bourlai, Rama Chellappa

Proceedings of the 56th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2022, Pacific Grove, CA, USA, October 31, 2022

2021

PreferenceNet: Encoding Human Preferences in Auction Design with Deep Learning.

Neehar Peri, Michael J. Curry, Samuel Dooley, John Dickerson

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

A Synthesis-Based Approach for Thermal-to-Visible Face Verification.

Neehar Peri, Joshua Gleason, Carlos Domingo Castillo, Thirimachos Bourlai, Vishal M. Patel, Rama Chellappa

Proceedings of the 16th IEEE International Conference on Automatic Face and Gesture Recognition, 2021

2020

Deep k-NN Defense Against Clean-Label Data Poisoning Attacks.

Neehar Peri, Neal Gupta, W. Ronny Huang, Liam Fowl, Chen Zhu, Soheil Feizi, Tom Goldstein, John P. Dickerson

Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020

The Devil Is in the Details: Self-supervised Attention for Vehicle Re-identification.

Pirazh Khorramshahi, Neehar Peri, Jun-Cheng Chen, Rama Chellappa

Proceedings of the Computer Vision - ECCV 2020, 2020

Towards Real-Time Systems for Vehicle Re-Identification, Multi-Camera Tracking, and Anomaly Detection.

Neehar Peri, Pirazh Khorramshahi, Sai Saketh Rambhatla, Vineet Shenoy, Saumya Rawat, Jun-Cheng Chen, Rama Chellappa

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

A Dual Path ModelWith Adaptive Attention For Vehicle Re-Identification.

Pirazh Khorramshahi, Amit Kumar, Neehar Peri, Sai Saketh Rambhatla, Jun-Cheng Chen, Rama Chellappa

CoRR, 2019

A Dual-Path Model With Adaptive Attention for Vehicle Re-Identification.

Pirazh Khorramshahi, Amit Kumar, Neehar Peri, Sai Saketh Rambhatla, Jun-Cheng Chen, Rama Chellappa

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Attention Driven Vehicle Re-identification and Unsupervised Anomaly Detection for Traffic Understanding.

Pirazh Khorramshahi, Neehar Peri, Amit Kumar, Anshul Shah, Rama Chellappa

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019