most citedLoRA-C: Parameter-Efficient Fine-Tuning of Robust CNN for IoT Devices

1 citations · 1 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2025

Sage Deer: A Super-Aligned Driving Generalist Is Your Copilot

Hao Lu, Jiaqi Tang, Jiyao Wang +14

The intelligent driving cockpit, an important part of intelligent driving, needs to match different users' comfort, interaction, and safety needs. This paper aims to build a Super-…

cs.RO2025

STAMICS: Splat, Track And Map with Integrated Consistency and Semantics for Dense RGB-D SLAM

Yongxu Wang, Xu Cao, Weiyun Yi +1

Simultaneous Localization and Mapping (SLAM) is a critical task in robotics, enabling systems to autonomously navigate and understand complex environments. Current SLAM approaches…

cs.DC2024★ 1 cited

LoRA-C: Parameter-Efficient Fine-Tuning of Robust CNN for IoT Devices

Chuntao Ding, Xu Cao, Jianhang Xie +3

Efficient fine-tuning of pre-trained convolutional neural network (CNN) models using local data is essential for providing high-quality services to users using ubiquitous and resou…

cs.CV2024

The RoboDrive Challenge: Drive Anytime Anywhere in Any Condition

Lingdong Kong, Shaoyuan Xie, Hanjiang Hu +88

In the realm of autonomous driving, robust perception under out-of-distribution conditions is paramount for the safe deployment of vehicles. Challenges such as adverse weather, sen…

cs.CV2024

Scaling Multi-Camera 3D Object Detection through Weak-to-Strong Eliciting

Hao Lu, Jiaqi Tang, Xinli Xu +6

The emergence of Multi-Camera 3D Object Detection (MC3D-Det), facilitated by bird's-eye view (BEV) representation, signifies a notable progression in 3D object detection. Scaling M…