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Neehar Peri
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2020 – today
- 2024
- [j1]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): 1-14 (2024) - [c14]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 - [i16]Ishan Khatri, Kyle Vedder, Neehar Peri, Deva Ramanan, James Hays:
I Can't Believe It's Not Scene Flow! CoRR abs/2403.04739 (2024) - [i15]Aljosa Osep, Tim Meinhardt, Francesco Ferroni, Neehar Peri, Deva Ramanan, Laura Leal-Taixé:
Better Call SAL: Towards Learning to Segment Anything in Lidar. CoRR abs/2403.13129 (2024) - [i14]Mehar Khurana, Neehar Peri, Deva Ramanan, James Hays:
Shelf-Supervised Multi-Modal Pre-Training for 3D Object Detection. CoRR abs/2406.10115 (2024) - [i13]Arun Balajee Vasudevan, Neehar Peri, Jeff Schneider, Deva Ramanan:
Planning with Adaptive World Models for Autonomous Driving. CoRR abs/2406.10714 (2024) - 2023
- [c13]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 - [c12]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: 4076-4085 - [i12]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 abs/2303.06250 (2023) - [i11]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 abs/2305.10424 (2023) - [i10]Neehar Peri, Mengtian Li, Benjamin Wilson, Yu-Xiong Wang, James Hays, Deva Ramanan:
An Empirical Analysis of Range for 3D Object Detection. CoRR abs/2308.04054 (2023) - [i9]Yechi Ma, Neehar Peri, Shuoquan Wei, Wei Hua, Deva Ramanan, Yanan Li, Shu Kong:
Long-Tailed 3D Detection via 2D Late Fusion. CoRR abs/2312.10986 (2023) - [i8]Anish Madan, Neehar Peri, Shu Kong, Deva Ramanan:
Revisiting Few-Shot Object Detection with Vision-Language Models. CoRR abs/2312.14494 (2023) - 2022
- [c11]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: 145-152 - [c10]Neehar Peri, Achal Dave, Deva Ramanan, Shu Kong:
Towards Long-Tailed 3D Detection. CoRL 2022: 1904-1915 - [c9]Neehar Peri, Jonathon Luiten, Mengtian Li, Aljosa Osep, Laura Leal-Taixé, Deva Ramanan
:
Forecasting from LiDAR via Future Object Detection. CVPR 2022: 17181-17190 - [c8]Alexandra A. Shaver, Neehar Peri, Remy Mezebish, George Matthew, Alyza Berson, Christopher Gaskins, Gregory P. Davis, Garrett E. Katz, Immanuel Babu Henry 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: 361-380 - [i7]Neehar Peri, Jonathon Luiten, Mengtian Li, Aljosa Osep, Laura Leal-Taixé, Deva Ramanan:
Forecasting from LiDAR via Future Object Detection. CoRR abs/2203.16297 (2022) - [i6]Neehar Peri, Achal Dave, Deva Ramanan
, Shu Kong
:
Towards Long-Tailed 3D Detection. CoRR abs/2211.08691 (2022) - [i5]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 abs/2212.08969 (2022) - 2021
- [c7]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: 1-8 - [c6]Neehar Peri, Michael J. Curry, Samuel Dooley, John Dickerson:
PreferenceNet: Encoding Human Preferences in Auction Design with Deep Learning. NeurIPS 2021: 17532-17542 - [i4]Neehar Peri, Michael J. Curry, Samuel Dooley, John P. Dickerson:
PreferenceNet: Encoding Human Preferences in Auction Design with Deep Learning. CoRR abs/2106.03215 (2021) - [i3]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 abs/2108.09558 (2021) - 2020
- [c5]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: 2648-2657 - [c4]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: 55-70 - [c3]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: 369-386 - [i2]Pirazh Khorramshahi, Neehar Peri, Jun-Cheng Chen, Rama Chellappa:
The Devil is in the Details: Self-Supervised Attention for Vehicle Re-Identification. CoRR abs/2004.06271 (2020)
2010 – 2019
- 2019
- [c2]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: 239-246 - [c1]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: 6131-6140 - [i1]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 abs/1905.03397 (2019)
Coauthor Index
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last updated on 2024-08-08 20:15 CEST by the dblp team
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