13 citations · 63 across the 24 of their papers we have counts for
7 papers · 1 filter
FCFR-Net: Feature Fusion based Coarse-to-Fine Residual Learning for Depth Completion
Lina Liu, Xibin Song, Xiaoyang Lyu +4
Depth completion aims to recover a dense depth map from a sparse depth map with the corresponding color image as input. Recent approaches mainly formulate depth completion as a one…
Grounding Implicit Goal Description for Robot Indoor Navigation Via Recursive Belief Update
Rui Chen, Jinxin Zhao, Liangjun Zhang
Natural language-based robotic navigation remains a challenging problem due to the human knowledge of navigation constraints, and destination is not directly compatible with the ro…
AES: Autonomous Excavator System for Real-World and Hazardous Environments
Jinxin Zhao, Pinxin Long, Liyang Wang +5
Excavators are widely used for material-handling applications in unstructured environments, including mining and construction. The size of the global market of excavators is 44.12…
Optimization-Based Framework for Excavation Trajectory Generation
Yajue Yang, Pinxin Long, Jia Pan +2
In this paper, we present a novel optimization-based framework for autonomous excavator trajectory generation under various objectives, including minimum joint displacement and min…
Object-aware Feature Aggregation for Video Object Detection
Qichuan Geng, Hong Zhang, Na Jiang +3
We present an Object-aware Feature Aggregation (OFA) module for video object detection (VID). Our approach is motivated by the intriguing property that video-level object-aware kno…
PerMO: Perceiving More at Once from a Single Image for Autonomous Driving
Feixiang Lu, Zongdai Liu, Xibin Song +8
We present a novel approach to detect, segment, and reconstruct complete textured 3D models of vehicles from a single image for autonomous driving. Our approach combines the streng…