8 citations · 18 across the 26 of their papers we have counts for
5 papers · 1 filter
Revisiting Few-Shot Object Detection with Vision-Language Models
Anish Madan, Neehar Peri, Shu Kong +1
The era of vision-language models (VLMs) trained on web-scale datasets challenges conventional formulations of "open-world" perception. In this work, we revisit the task of few-sho…
Long-Tailed 3D Detection via Multi-Modal Fusion
Yechi Ma, Neehar Peri, Achal Dave +3
Contemporary autonomous vehicle (AV) benchmarks have significantly advanced multimodal (LiDAR+RGB) 3D detection. However, despite the naturally long-tailed distribution of object c…
An Empirical Analysis of Range for 3D Object Detection
Neehar Peri, Mengtian Li, Benjamin Wilson +3
LiDAR-based 3D detection plays a vital role in autonomous navigation. Surprisingly, although autonomous vehicles (AVs) must detect both near-field objects (for collision avoidance)…
ZeroFlow: Scalable Scene Flow via Distillation
Kyle Vedder, Neehar Peri, Nathaniel Chodosh +6
Scene flow estimation is the task of describing the 3D motion field between temporally successive point clouds. State-of-the-art methods use strong priors and test-time optimizatio…
ReBound: An Open-Source 3D Bounding Box Annotation Tool for Active Learning
Wesley Chen, Andrew Edgley, Raunak Hota +5
In recent years, supervised learning has become the dominant paradigm for training deep-learning based methods for 3D object detection. Lately, the academic community has studied 3…