activity
20182023
most cited2018 Low-Power Image Recognition Challenge

7 citations · 21 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2023★ 2 cited

Reciprocal Attention Mixing Transformer for Lightweight Image Restoration

Haram Choi, Cheolwoong Na, Jihyeon Oh +6

Although many recent works have made advancements in the image restoration (IR) field, they often suffer from an excessive number of parameters. Another issue is that most Transfor…

cs.RO2022★ 7 cited

Patchwork++: Fast and Robust Ground Segmentation Solving Partial Under-Segmentation Using 3D Point Cloud

Seungjae Lee, Hyungtae Lim, Hyun Myung

In the field of 3D perception using 3D LiDAR sensors, ground segmentation is an essential task for various purposes, such as traversable area detection and object recognition. Unde…

cs.RO2022

PaGO-LOAM: Robust Ground-Optimized LiDAR Odometry

Dong-Uk Seo, Hyungtae Lim, Seungjae Lee +1

Numerous researchers have conducted studies to achieve fast and robust ground-optimized LiDAR odometry methods for terrestrial mobile platforms. In particular, ground-optimized LiD…

cs.CV2019★ 5 cited

Low-Power Computer Vision: Status, Challenges, Opportunities

Sergei Alyamkin, Matthew Ardi, Alexander C. Berg +41

Computer vision has achieved impressive progress in recent years. Meanwhile, mobile phones have become the primary computing platforms for millions of people. In addition to mobile…

cs.CV2018★ 7 cited

2018 Low-Power Image Recognition Challenge

Sergei Alyamkin, Matthew Ardi, Achille Brighton +38

The Low-Power Image Recognition Challenge (LPIRC, https://rebootingcomputing.ieee.org/lpirc) is an annual competition started in 2015. The competition identifies the best technolog…