Neehar Peri
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
19
Venues
10
Active years
2019–2025
Best venue rank
A*
Where they publish
Papers
19 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | HCI | 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 |
| 2025 | ICCV | MonoFusion: Sparse-View 4D Reconstruction via Monocular Fusion. | Zihan Wang, Jeff Tan, Tarasha Khurana, Neehar Peri, Deva Ramanan |
| 2025 | ICLR | 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 |
| 2025 | ICML | Towards Learning to Complete Anything in Lidar. | Aya Takmaz, Cristiano Saltori, Neehar Peri, Tim Meinhardt, Riccardo de Lutio, Laura Leal-Taix, Aljosa Osep |
| 2025 | ICRA | Planning with Adaptive World Models for Autonomous Driving. | Arun Balajee Vasudevan, Neehar Peri, Jeff Schneider, Deva Ramanan |
| 2024 | CoRL | Shelf-Supervised Cross-Modal Pre-Training for 3D Object Detection. | Mehar Khurana, Neehar Peri, James Hays, Deva Ramanan |
| 2024 | ECCV | I Can't Believe It's Not Scene Flow! | Ishan Khatri, Kyle Vedder, Neehar Peri, Deva Ramanan, James Hays |
| 2024 | ECCV | Better Call SAL: Towards Learning to Segment Anything in Lidar. | Aljosa Osep, Tim Meinhardt, Francesco Ferroni, Neehar Peri, Deva Ramanan, Laura Leal-Taix |
| 2024 | ICLR | ZeroFlow: Scalable Scene Flow via Distillation. | Kyle Vedder, Neehar Peri, Nathaniel Chodosh, Ishan Khatri, Eric Eaton, Dinesh Jayaraman, Yang Liu, Deva Ramanan, James Hays |
| 2023 | CHI | 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 |
| 2022 | ACSSC | 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 |
| 2022 | CoRL | Towards Long-Tailed 3D Detection. | Neehar Peri, Achal Dave, Deva Ramanan, Shu Kong |
| 2022 | CVPR | Forecasting from LiDAR via Future Object Detection. | Neehar Peri, Jonathon Luiten, Mengtian Li, Aljosa Osep, Laura Leal-Taix, Deva Ramanan |
| 2022 | HCI | 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, James Purtilo, Rodolphe J. Gentili |
| 2020 | CVPR | 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 |
| 2020 | ECCV | The Devil Is in the Details: Self-supervised Attention for Vehicle Re-identification. | Pirazh Khorramshahi, Neehar Peri, Jun-Cheng Chen, Rama Chellappa |
| 2020 | ECCV | 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 |
| 2019 | CVPR | Attention Driven Vehicle Re-identification and Unsupervised Anomaly Detection for Traffic Understanding. | Pirazh Khorramshahi, Neehar Peri, Amit Kumar, Anshul Shah, Rama Chellappa |
| 2019 | ICCV | A Dual-Path Model With Adaptive Attention for Vehicle Re-Identification. | Pirazh Khorramshahi, Amit Kumar, Neehar Peri, Sai Saketh Rambhatla, Jun-Cheng Chen, Rama Chellappa |