Peri, Neehar

17 publications

ICCV 2025 MonoFusion: Sparse-View 4D Reconstruction via Monocular Fusion Zihan Wang, Jeff Tan, Tarasha Khurana, Neehar Peri, Deva Ramanan

ICLR 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

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

ICML 2025 Towards Learning to Complete Anything in LiDAR Ayça Takmaz, Cristiano Saltori, Neehar Peri, Tim Meinhardt, Riccardo De Lutio, Laura Leal-Taixé, Aljosa Osep

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

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

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

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

ICCVW 2023 An Empirical Analysis of Range for 3D Object Detection Neehar Peri, Mengtian Li, Benjamin Wilson, Yu-Xiong Wang, James Hays, Deva Ramanan

CVPR 2022 Forecasting from LiDAR via Future Object Detection Neehar Peri, Jonathon Luiten, Mengtian Li, Aljoša Ošep, Laura Leal-Taixé, Deva Ramanan

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

NeurIPS 2021 PreferenceNet: Encoding Human Preferences in Auction Design with Deep Learning Neehar Peri, Michael Curry, Samuel Dooley, John Dickerson

ECCVW 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

ECCV 2020 The Devil Is in the Details: Self-Supervised Attention for Vehicle Re-Identification Pirazh Khorramshahi, Neehar Peri, Jun-cheng Chen, Rama Chellappa

CVPRW 2020 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

CVPRW 2019 Attention Driven Vehicle Re-Identification and Unsupervised Anomaly Detection for Traffic Understanding Pirazh Khorramshahi, Neehar Peri, Amit Kumar, Anshul Shah, Rama Chellappa