6 citations · 11 across the 4 of their papers we have counts for
9 papers · 1 filter
SemCal: Semantic LiDAR-Camera Calibration using Neural MutualInformation Estimator
Peng Jiang, Philip Osteen, Srikanth Saripalli
This paper proposes SemCal: an automatic, targetless, extrinsic calibration algorithm for a LiDAR and camera system using semantic information. We leverage a neural information est…
Calibrating LiDAR and Camera using Semantic Mutual information
Peng Jiang, Philip Osteen, Srikanth Saripalli
We propose an algorithm for automatic, targetless, extrinsic calibration of a LiDAR and camera system using semantic information. We achieve this goal by maximizing mutual informat…
Scribble-Supervised Semantic Segmentation by Uncertainty Reduction on Neural Representation and Self-Supervision on Neural Eigenspace
Zhiyi Pan, Peng Jiang, Yunhai Wang +2
Scribble-supervised semantic segmentation has gained much attention recently for its promising performance without high-quality annotations. Due to the lack of supervision, confide…
Scribble-Supervised Semantic Segmentation by Random Walk on Neural Representation and Self-Supervision on Neural Eigenspace
Zhiyi Pan, Peng Jiang, Changhe Tu
Scribble-supervised semantic segmentation has gained much attention recently for its promising performance without high-quality annotations. Many approaches have been proposed. Typ…
Bi-Directional Attention for Joint Instance and Semantic Segmentation in Point Clouds
Guangnan Wu, Zhiyi Pan, Peng Jiang +1
Instance segmentation in point clouds is one of the most fine-grained ways to understand the 3D scene. Due to its close relationship to semantic segmentation, many works approach t…
LiDARNet: A Boundary-Aware Domain Adaptation Model for Point Cloud Semantic Segmentation
Peng Jiang, Srikanth Saripalli
We present a boundary-aware domain adaptation model for LiDAR scan full-scene semantic segmentation (LiDARNet). Our model can extract both the domain private features and the domai…