Neehar Peri

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 31

Top Topics

Object Detection

Human Cognitive

Top Venues

AutomationXP@CHI

Publications

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
Data and Algorithms for End-to-End Thermal Spectrum Face Verification. IEEE Trans. Biom. Behav. Identity Sci. 6 (1) (2024)
Aljosa Osep, Tim Meinhardt, Francesco Ferroni, Neehar Peri, Deva Ramanan, Laura Leal-Taixé
Better Call SAL: Towards Learning to Segment Anything in Lidar. CoRR (2024)
Kyle Vedder, Neehar Peri, Nathaniel Chodosh, Ishan Khatri, Eric Eaton, Dinesh Jayaraman, Yang Liu, Deva Ramanan, James Hays
ZeroFlow: Scalable Scene Flow via Distillation. ICLR (2024)
Mehar Khurana, Neehar Peri, Deva Ramanan, James Hays
Shelf-Supervised Multi-Modal Pre-Training for 3D Object Detection. CoRR (2024)
Ishan Khatri, Kyle Vedder, Neehar Peri, Deva Ramanan, James Hays
I Can't Believe It's Not Scene Flow! CoRR (2024)
Arun Balajee Vasudevan, Neehar Peri, Jeff Schneider, Deva Ramanan
Planning with Adaptive World Models for Autonomous Driving. CoRR (2024)
Wesley Chen, Andrew Edgley, Raunak Hota, Joshua Liu, Ezra Schwartz, Aminah Yizar, James Purtilo, Neehar Peri
ReBound: An Open-Source 3D Bounding Box Annotation Tool for Active Learning. AutomationXP@CHI (2023)
Neehar Peri, Mengtian Li, Benjamin Wilson, Yu-Xiong Wang, James Hays, Deva Ramanan
An Empirical Analysis of Range for 3D Object Detection. ICCV (Workshops) (2023)
Kyle Vedder, Neehar Peri, Nathaniel Chodosh, Ishan Khatri, Eric Eaton, Dinesh Jayaraman, Yang Liu, Deva Ramanan, James Hays
ZeroFlow: Fast Zero Label Scene Flow via Distillation. CoRR (2023)
Anish Madan, Neehar Peri, Shu Kong, Deva Ramanan
Revisiting Few-Shot Object Detection with Vision-Language Models. CoRR (2023)
Yechi Ma, Neehar Peri, Shuoquan Wei, Wei Hua, Deva Ramanan, Yanan Li, Shu Kong
Long-Tailed 3D Detection via 2D Late Fusion. CoRR (2023)
Neehar Peri, Mengtian Li, Benjamin Wilson, Yu-Xiong Wang, James Hays, Deva Ramanan
An Empirical Analysis of Range for 3D Object Detection. CoRR (2023)
Wesley Chen, Andrew Edgley, Raunak Hota, Joshua Liu, Ezra Schwartz, Aminah Yizar, Neehar Peri, James Purtilo
ReBound: An Open-Source 3D Bounding Box Annotation Tool for Active Learning. CoRR (2023)
Chrisopher B. Nalty, Neehar Peri, Joshua Gleason, Carlos Domingo Castillo, Shuowen Hu, Thirimachos Bourlai, Rama Chellappa
A Brief Survey on Person Recognition at a Distance. IEEECONF (2022)
Neehar Peri, Jonathon Luiten, Mengtian Li, Aljosa Osep, Laura Leal-Taixé, Deva Ramanan
Forecasting from LiDAR via Future Object Detection. CVPR (2022)
Neehar Peri, Jonathon Luiten, Mengtian Li, Aljosa Osep, Laura Leal-Taixé, Deva Ramanan
Forecasting from LiDAR via Future Object Detection. CoRR (2022)
Neehar Peri, Achal Dave, Deva Ramanan, Shu Kong
Towards Long-Tailed 3D Detection. CoRL (2022)
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
Assessment of a Novel Virtual Environment for Examining Human Cognitive-Motor Performance During Execution of Action Sequences. HCI (9) (2022)
Chrisopher B. Nalty, Neehar Peri, Joshua Gleason, Carlos Domingo Castillo, Shuowen Hu, Thirimachos Bourlai, Rama Chellappa
A Brief Survey on Person Recognition at a Distance. CoRR (2022)
Neehar Peri, Achal Dave, Deva Ramanan, Shu Kong
Towards Long-Tailed 3D Detection. CoRR (2022)
Neehar Peri, Michael J. Curry, Samuel Dooley, John P. Dickerson
PreferenceNet: Encoding Human Preferences in Auction Design with Deep Learning. CoRR (2021)
Neehar Peri, Joshua Gleason, Carlos Domingo Castillo, Thirimachos Bourlai, Vishal M. Patel, Rama Chellappa
A Synthesis-Based Approach for Thermal-to-Visible Face Verification. FG (2021)
Neehar Peri, Michael J. Curry, Samuel Dooley, John Dickerson
PreferenceNet: Encoding Human Preferences in Auction Design with Deep Learning. NeurIPS (2021)
Neehar Peri, Joshua Gleason, Carlos Domingo Castillo, Thirimachos Bourlai, Vishal M. Patel, Rama Chellappa
A Synthesis-Based Approach for Thermal-to-Visible Face Verification. CoRR (2021)
Neehar Peri, Pirazh Khorramshahi, Sai Saketh Rambhatla, Vineet Shenoy, Saumya Rawat, Jun-Cheng Chen, Rama Chellappa
Towards Real-Time Systems for Vehicle Re-Identification, Multi-Camera Tracking, and Anomaly Detection. CVPR Workshops (2020)
Pirazh Khorramshahi, Neehar Peri, Jun-Cheng Chen, Rama Chellappa
The Devil is in the Details: Self-Supervised Attention for Vehicle Re-Identification. CoRR (2020)
Pirazh Khorramshahi, Neehar Peri, Jun-Cheng Chen, Rama Chellappa
The Devil Is in the Details: Self-supervised Attention for Vehicle Re-identification. ECCV (14) (2020)
Neehar Peri, Neal Gupta, W. Ronny Huang, Liam Fowl, Chen Zhu, Soheil Feizi, Tom Goldstein, John P. Dickerson
Deep k-NN Defense Against Clean-Label Data Poisoning Attacks. ECCV Workshops (1) (2020)
Pirazh Khorramshahi, Amit Kumar, Neehar Peri, Sai Saketh Rambhatla, Jun-Cheng Chen, Rama Chellappa
A Dual Path ModelWith Adaptive Attention For Vehicle Re-Identification. CoRR (2019)
Pirazh Khorramshahi, Neehar Peri, Amit Kumar, Anshul Shah, Rama Chellappa
Attention Driven Vehicle Re-identification and Unsupervised Anomaly Detection for Traffic Understanding. CVPR Workshops (2019)
Pirazh Khorramshahi, Amit Kumar, Neehar Peri, Sai Saketh Rambhatla, Jun-Cheng Chen, Rama Chellappa
A Dual-Path Model With Adaptive Attention for Vehicle Re-Identification. ICCV (2019)