Neehar Peri

48 papers A* 8B 1Misc 2Journal 26Unranked 11
YearRankTypeTitle / Venue / Authors
2026 J jnl
DetPO: In-Context Learning with Multi-Modal LLMs for Few-Shot Object Detection.
CoRR
Gautam Rajendrakumar Gare, Neehar Peri, Matvei Popov, Shruti Jain, John M. Galeotti, Deva Ramanan
2025 J jnl
MonoFusion: Sparse-View 4D Reconstruction via Monocular Fusion.
CoRR
Zihan Wang, Jeff Tan, Tarasha Khurana, Neehar Peri, Deva Ramanan
2025 A* conf
Neural Eulerian Scene Flow Fields.
ICLR
Kyle Vedder, Neehar Peri, Ishan Khatri, Siyi Li, Eric Eaton, Mehmet Kemal Kocamaz, Yue Wang, Zhiding Yu, Deva Ramanan, Joachim Pehserl
2025 A* conf
Planning with Adaptive World Models for Autonomous Driving.
ICRA
Arun Balajee Vasudevan, Neehar Peri, Jeff Schneider, Deva Ramanan
2025 — conf
QuickDraw: Fast Visualization, Analysis and Active Learning for Medical Image Segmentation.
HCI (60)
Daniel Syomichev, Padmini Gopinath, Guang-Lin Wei, Eric Chang, Ian Gordon, Amanuel Seifu, Rahul Pemmaraju, Neehar Peri, James Purtilo
2025 J jnl
QuickDraw: Fast Visualization, Analysis and Active Learning for Medical Image Segmentation.
CoRR
Daniel Syomichev, Padmini Gopinath, Guang-Lin Wei, Eric Chang, Ian Gordon, Amanuel Seifu, Rahul Pemmaraju, Neehar Peri, James Purtilo
2025 J jnl
RF-DETR: Neural Architecture Search for Real-Time Detection Transformers.
CoRR
Isaac Robinson, Peter Robicheaux, Matvei Popov, Deva Ramanan, Neehar Peri
2025 J jnl
RefAV: Towards Planning-Centric Scenario Mining.
CoRR
Cainan Davidson, Deva Ramanan, Neehar Peri
2025 J jnl
Roboflow100-VL: A Multi-Domain Object Detection Benchmark for Vision-Language Models.
CoRR
Peter Robicheaux, Matvei Popov, Anish Madan, Isaac Robinson, Joseph Nelson, Deva Ramanan, Neehar Peri
2025 A* conf
Towards Learning to Complete Anything in Lidar.
ICML
Ayça Takmaz, Cristiano Saltori, Neehar Peri, Tim Meinhardt, Riccardo de Lutio, Laura Leal-Taixé, Aljosa Osep
2025 J jnl
Towards Learning to Complete Anything in Lidar.
CoRR
Ayça Takmaz, Cristiano Saltori, Neehar Peri, Tim Meinhardt, Riccardo de Lutio, Laura Leal-Taixé, Aljosa Osep
2025 J jnl
UniFlow: Towards Zero-Shot LiDAR Scene Flow for Autonomous Vehicles via Cross-Domain Generalization.
CoRR
Siyi Li, Qingwen Zhang, Ishan Khatri, Kyle Vedder, Deva Ramanan, Neehar Peri
2024 — conf
Better Call SAL: Towards Learning to Segment Anything in Lidar.
ECCV (39)
Aljosa Osep, Tim Meinhardt, Francesco Ferroni, Neehar Peri, Deva Ramanan, Laura Leal-Taixé
2024 J jnl
Better Call SAL: Towards Learning to Segment Anything in Lidar.
CoRR
Aljosa Osep, Tim Meinhardt, Francesco Ferroni, Neehar Peri, Deva Ramanan, Laura Leal-Taixé
2024 J jnl
Data and Algorithms for End-to-End Thermal Spectrum Face Verification.
IEEE Trans. Biom. Behav. Identity Sci.
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
2024 — conf
I Can't Believe It's Not Scene Flow!
ECCV (18)
Ishan Khatri, Kyle Vedder, Neehar Peri, Deva Ramanan, James Hays
2024 J jnl
I Can't Believe It's Not Scene Flow!
CoRR
Ishan Khatri, Kyle Vedder, Neehar Peri, Deva Ramanan, James Hays
2024 J jnl
Neural Eulerian Scene Flow Fields.
CoRR
Kyle Vedder, Neehar Peri, Ishan Khatri, Siyi Li, Eric Eaton, Mehmet Kemal Kocamaz, Yue Wang, Zhiding Yu, Deva Ramanan, Joachim Pehserl
2024 J jnl
Planning with Adaptive World Models for Autonomous Driving.
CoRR
Arun Balajee Vasudevan, Neehar Peri, Jeff Schneider, Deva Ramanan
2024 A* conf
Revisiting Few-Shot Object Detection with Vision-Language Models.
NeurIPS
Anish Madan, Neehar Peri, Shu Kong, Deva Ramanan
2024 Misc conf
Shelf-Supervised Cross-Modal Pre-Training for 3D Object Detection.
CoRL
Mehar Khurana, Neehar Peri, James Hays, Deva Ramanan
2024 J jnl
Shelf-Supervised Multi-Modal Pre-Training for 3D Object Detection.
CoRR
Mehar Khurana, Neehar Peri, Deva Ramanan, James Hays
2024 A* conf
ZeroFlow: Scalable Scene Flow via Distillation.
ICLR
Kyle Vedder, Neehar Peri, Nathaniel Chodosh, Ishan Khatri, Eric Eaton, Dinesh Jayaraman, Yang Liu, Deva Ramanan, James Hays
2023 — conf
An Empirical Analysis of Range for 3D Object Detection.
ICCV (Workshops)
Neehar Peri, Mengtian Li, Benjamin Wilson, Yu-Xiong Wang, James Hays, Deva Ramanan
2023 J jnl
An Empirical Analysis of Range for 3D Object Detection.
CoRR
Neehar Peri, Mengtian Li, Benjamin Wilson, Yu-Xiong Wang, James Hays, Deva Ramanan
2023 J jnl
Long-Tailed 3D Detection via 2D Late Fusion.
CoRR
Yechi Ma, Neehar Peri, Shuoquan Wei, Wei Hua, Deva Ramanan, Yanan Li, Shu Kong
2023 — conf
ReBound: An Open-Source 3D Bounding Box Annotation Tool for Active Learning.
AutomationXP@CHI
Wesley Chen, Andrew Edgley, Raunak Hota, Joshua Liu, Ezra Schwartz, Aminah Yizar, James Purtilo, Neehar Peri
2023 J jnl
ReBound: An Open-Source 3D Bounding Box Annotation Tool for Active Learning.
CoRR
Wesley Chen, Andrew Edgley, Raunak Hota, Joshua Liu, Ezra Schwartz, Aminah Yizar, Neehar Peri, James Purtilo
2023 J jnl
Revisiting Few-Shot Object Detection with Vision-Language Models.
CoRR
Anish Madan, Neehar Peri, Shu Kong, Deva Ramanan
2023 J jnl
ZeroFlow: Fast Zero Label Scene Flow via Distillation.
CoRR
Kyle Vedder, Neehar Peri, Nathaniel Chodosh, Ishan Khatri, Eric Eaton, Dinesh Jayaraman, Yang Liu, Deva Ramanan, James Hays
2022 — conf
A Brief Survey on Person Recognition at a Distance.
IEEECONF
Chrisopher B. Nalty, Neehar Peri, Joshua Gleason, Carlos Domingo Castillo, Shuowen Hu, Thirimachos Bourlai, Rama Chellappa
2022 J jnl
A Brief Survey on Person Recognition at a Distance.
CoRR
Chrisopher B. Nalty, Neehar Peri, Joshua Gleason, Carlos Domingo Castillo, Shuowen Hu, Thirimachos Bourlai, Rama Chellappa
2022 — conf
Assessment of a Novel Virtual Environment for Examining Human Cognitive-Motor Performance During Execution of Action Sequences.
HCI (9)
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
2022 A* conf
Forecasting from LiDAR via Future Object Detection.
CVPR
Neehar Peri, Jonathon Luiten, Mengtian Li, Aljosa Osep, Laura Leal-Taixé, Deva Ramanan
2022 J jnl
Forecasting from LiDAR via Future Object Detection.
CoRR
Neehar Peri, Jonathon Luiten, Mengtian Li, Aljosa Osep, Laura Leal-Taixé, Deva Ramanan
2022 Misc conf
Towards Long-Tailed 3D Detection.
CoRL
Neehar Peri, Achal Dave, Deva Ramanan, Shu Kong
2022 J jnl
Towards Long-Tailed 3D Detection.
CoRR
Neehar Peri, Achal Dave, Deva Ramanan, Shu Kong
2021 B conf
A Synthesis-Based Approach for Thermal-to-Visible Face Verification.
FG
Neehar Peri, Joshua Gleason, Carlos Domingo Castillo, Thirimachos Bourlai, Vishal M. Patel, Rama Chellappa
2021 J jnl
A Synthesis-Based Approach for Thermal-to-Visible Face Verification.
CoRR
Neehar Peri, Joshua Gleason, Carlos Domingo Castillo, Thirimachos Bourlai, Vishal M. Patel, Rama Chellappa
2021 A* conf
PreferenceNet: Encoding Human Preferences in Auction Design with Deep Learning.
NeurIPS
Neehar Peri, Michael J. Curry, Samuel Dooley, John Dickerson
2021 J jnl
PreferenceNet: Encoding Human Preferences in Auction Design with Deep Learning.
CoRR
Neehar Peri, Michael J. Curry, Samuel Dooley, John P. Dickerson
2020 — conf
Deep k-NN Defense Against Clean-Label Data Poisoning Attacks.
ECCV Workshops (1)
Neehar Peri, Neal Gupta, W. Ronny Huang, Liam Fowl, Chen Zhu, Soheil Feizi, Tom Goldstein, John P. Dickerson
2020 — conf
The Devil Is in the Details: Self-supervised Attention for Vehicle Re-identification.
ECCV (14)
Pirazh Khorramshahi, Neehar Peri, Jun-Cheng Chen, Rama Chellappa
2020 J jnl
The Devil is in the Details: Self-Supervised Attention for Vehicle Re-Identification.
CoRR
Pirazh Khorramshahi, Neehar Peri, Jun-Cheng Chen, Rama Chellappa
2020 — conf
Towards Real-Time Systems for Vehicle Re-Identification, Multi-Camera Tracking, and Anomaly Detection.
CVPR Workshops
Neehar Peri, Pirazh Khorramshahi, Sai Saketh Rambhatla, Vineet R. Shenoy, Saumya Rawat, Jun-Cheng Chen, Rama Chellappa
2019 J jnl
A Dual Path ModelWith Adaptive Attention For Vehicle Re-Identification.
CoRR
Pirazh Khorramshahi, Amit Kumar, Neehar Peri, Sai Saketh Rambhatla, Jun-Cheng Chen, Rama Chellappa
2019 A* conf
A Dual-Path Model With Adaptive Attention for Vehicle Re-Identification.
ICCV
Pirazh Khorramshahi, Amit Kumar, Neehar Peri, Sai Saketh Rambhatla, Jun-Cheng Chen, Rama Chellappa
2019 — conf
Attention Driven Vehicle Re-identification and Unsupervised Anomaly Detection for Traffic Understanding.
CVPR Workshops
Pirazh Khorramshahi, Neehar Peri, Amit Kumar, Anshul Shah, Rama Chellappa