11 citations · 26 across the 21 of their papers we have counts for
7 papers · 1 filter
Lidar Panoptic Segmentation and Tracking without Bells and Whistles
Abhinav Agarwalla, Xuhua Huang, Jason Ziglar +5
State-of-the-art lidar panoptic segmentation (LPS) methods follow bottom-up segmentation-centric fashion wherein they build upon semantic segmentation networks by utilizing cluster…
Thinking Like an Annotator: Generation of Dataset Labeling Instructions
Nadine Chang, Francesco Ferroni, Michael J. Tarr +2
Large-scale datasets are essential to modern day deep learning. Advocates argue that understanding these methods requires dataset transparency (e.g. "dataset curation, motivation,…
Fast Neural Scene Flow
Xueqian Li, Jianqiao Zheng, Francesco Ferroni +2
Neural Scene Flow Prior (NSFP) is of significant interest to the vision community due to its inherent robustness to out-of-distribution (OOD) effects and its ability to deal with d…
Learning to Zoom and Unzoom
Chittesh Thavamani, Mengtian Li, Francesco Ferroni +1
Many perception systems in mobile computing, autonomous navigation, and AR/VR face strict compute constraints that are particularly challenging for high-resolution input images. Pr…
SUDS: Scalable Urban Dynamic Scenes
Haithem Turki, Jason Y. Zhang, Francesco Ferroni +1
We extend neural radiance fields (NeRFs) to dynamic large-scale urban scenes. Prior work tends to reconstruct single video clips of short durations (up to 10 seconds). Two reasons…
Priors are Powerful: Improving a Transformer for Multi-camera 3D Detection with 2D Priors
Di Feng, Francesco Ferroni
Transfomer-based approaches advance the recent development of multi-camera 3D detection both in academia and industry. In a vanilla transformer architecture, queries are randomly i…
Pix2Map: Cross-modal Retrieval for Inferring Street Maps from Images
Xindi Wu, KwunFung Lau, Francesco Ferroni +2
Self-driving vehicles rely on urban street maps for autonomous navigation. In this paper, we introduce Pix2Map, a method for inferring urban street map topology directly from ego-v…