Attention Driven Vehicle Re-identification and Unsupervised Anomaly Detection for Traffic Understanding. - Pirazh Khorramshahi; Neehar Peri; Amit Kumar 013; Anshul Shah; Rama Chellappa (CVPR Workshops, 2019)

A Dual-Path Model With Adaptive Attention for Vehicle Re-Identification. - Pirazh Khorramshahi; Amit Kumar 013; Neehar Peri; Sai Saketh Rambhatla; Jun-Cheng Chen; Rama Chellappa (ICCV, 2019)

A Dual Path ModelWith Adaptive Attention For Vehicle Re-Identification. - Pirazh Khorramshahi; Amit Kumar 013; Neehar Peri; Sai Saketh Rambhatla; Jun-Cheng Chen; Rama Chellappa (CoRR, 2019)

Towards Real-Time Systems for Vehicle Re-Identification, Multi-Camera Tracking, and Anomaly Detection. - Neehar Peri; Pirazh Khorramshahi; Sai Saketh Rambhatla; Vineet R. Shenoy; Saumya Rawat; Jun-Cheng Chen; Rama Chellappa (CVPR Workshops, 2020)

The Devil Is in the Details: Self-supervised Attention for Vehicle Re-identification. - Pirazh Khorramshahi; Neehar Peri; Jun-Cheng Chen; Rama Chellappa (ECCV (14), 2020)

Deep k-NN Defense Against Clean-Label Data Poisoning Attacks. - Neehar Peri; Neal Gupta; W. Ronny Huang; Liam Fowl; Chen Zhu 001; Soheil Feizi; Tom Goldstein; John P. Dickerson (ECCV Workshops (1), 2020)

A Synthesis-Based Approach for Thermal-to-Visible Face Verification. - Neehar Peri; Joshua Gleason; Carlos Domingo Castillo; Thirimachos Bourlai; Vishal M. Patel; Rama Chellappa (FG, 2021)

PreferenceNet: Encoding Human Preferences in Auction Design with Deep Learning. - Neehar Peri; Michael J. Curry; Samuel Dooley; John Dickerson 001 (NeurIPS, 2021)

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 (IEEECONF, 2022)

Towards Long-Tailed 3D Detection. - Neehar Peri; Achal Dave; Deva Ramanan; Shu Kong (CoRL, 2022)

Forecasting from LiDAR via Future Object Detection. - Neehar Peri; Jonathon Luiten; Mengtian Li; Aljosa Osep; Laura Leal-Taixé; Deva Ramanan (CVPR, 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 Babu Henry Samuel; Matthew J. Reinhard; Michelle E. Costanzo; James A. Reggia; et al. (HCI (9), 2022)

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 (AutomationXP@CHI, 2023)

An Empirical Analysis of Range for 3D Object Detection. - Neehar Peri; Mengtian Li; Benjamin Wilson; Yu-Xiong Wang; James Hays; Deva Ramanan (ICCV (Workshops), 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)

Long-Tailed 3D Detection via 2D Late Fusion. - Yechi Ma; Neehar Peri; Shuoquan Wei; Wei Hua; Deva Ramanan; Yanan Li; Shu Kong (CoRR, 2023)

Shelf-Supervised Cross-Modal Pre-Training for 3D Object Detection. - Mehar Khurana; Neehar Peri; James Hays; Deva Ramanan (CoRL, 2024)

I Can't Believe It's Not Scene Flow! - Ishan Khatri; Kyle Vedder; Neehar Peri; Deva Ramanan; James Hays (ECCV (18), 2024)

Better Call SAL: Towards Learning to Segment Anything in Lidar. - Aljosa Osep; Tim Meinhardt; Francesco Ferroni; Neehar Peri; Deva Ramanan; Laura Leal-Taixé (ECCV (39), 2024)

ZeroFlow: Scalable Scene Flow via Distillation. - Kyle Vedder; Neehar Peri; Nathaniel Chodosh; Ishan Khatri; Eric Eaton; Dinesh Jayaraman; Yang Liu; Deva Ramanan; James Hays (ICLR, 2024)

Revisiting Few-Shot Object Detection with Vision-Language Models. - Anish Madan; Neehar Peri; Shu Kong; Deva Ramanan (NeurIPS, 2024)

Shelf-Supervised Multi-Modal Pre-Training for 3D Object Detection. - Mehar Khurana; Neehar Peri; Deva Ramanan; James Hays (CoRR, 2024)

Planning with Adaptive World Models for Autonomous Driving. - Arun Balajee Vasudevan; Neehar Peri; Jeff Schneider; Deva Ramanan (CoRR, 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., 2024)

QuickDraw: Fast Visualization, Analysis and Active Learning for Medical Image Segmentation. - Daniel Syomichev; Padmini Gopinath; Guang-Lin Wei; Eric Chang; Ian Gordon; Amanuel Seifu; Rahul Pemmaraju; Neehar Peri; James Purtilo (HCI (60), 2025)

Neural Eulerian Scene Flow Fields. - Kyle Vedder; Neehar Peri; Ishan Khatri; Siyi Li; Eric Eaton; Mehmet Kemal Kocamaz; Yue Wang; Zhiding Yu; Deva Ramanan; Joachim Pehserl (ICLR, 2025)

Towards Learning to Complete Anything in Lidar. - Ayca Takmaz; Cristiano Saltori; Neehar Peri; Tim Meinhardt; Riccardo de Lutio; Laura Leal-Taixé; Aljosa Osep (CoRR, 2025)

Roboflow100-VL: A Multi-Domain Object Detection Benchmark for Vision-Language Models. - Peter Robicheaux; Matvei Popov; Anish Madan; Isaac Robinson; Joseph Nelson; Deva Ramanan; Neehar Peri (CoRR, 2025)

RefAV: Towards Planning-Centric Scenario Mining. - Cainan Davidson; Deva Ramanan; Neehar Peri (CoRR, 2025)

MonoFusion: Sparse-View 4D Reconstruction via Monocular Fusion. - Zihan Wang; Jeff Tan; Tarasha Khurana; Neehar Peri; Deva Ramanan (CoRR, 2025)