12 citations · 22 across the 12 of their papers we have counts for
12 papers · 1 filter
Spatial4D-Bench: A Versatile 4D Spatial Intelligence Benchmark
Pan Wang, Yang Liu, Guile Wu +23
4D spatial intelligence involves perceiving and processing how objects move or change over time. Humans naturally possess 4D spatial intelligence, supporting a broad spectrum of sp…
DCDB: Dynamic Conditional Dual Diffusion Bridge for Ill-posed Multi-Tasks
Chengjie Huang, Jiafeng Yan, Jing Li +1
Conditional diffusion models have made impressive progress in the field of image processing, but the characteristics of constructing data distribution pathways make it difficult to…
How Hard Is Snow? A Paired Domain Adaptation Dataset for Clear and Snowy Weather: CADC+
Mei Qi Tang, Sean Sedwards, Chengjie Huang +1
The impact of snowfall on 3D object detection performance remains underexplored. Conducting such an evaluation requires a dataset with sufficient labelled data from both weather co…
MFSeg: Efficient Multi-frame 3D Semantic Segmentation
Chengjie Huang, Krzysztof Czarnecki
We propose MFSeg, an efficient multi-frame 3D semantic segmentation framework. By aggregating point cloud sequences at the feature level and regularizing the feature extraction and…
VADet: Multi-frame LiDAR 3D Object Detection using Variable Aggregation
Chengjie Huang, Vahdat Abdelzad, Sean Sedwards +1
Input aggregation is a simple technique used by state-of-the-art LiDAR 3D object detectors to improve detection. However, increasing aggregation is known to have diminishing return…
SOAP: Cross-sensor Domain Adaptation for 3D Object Detection Using Stationary Object Aggregation Pseudo-labelling
Chengjie Huang, Vahdat Abdelzad, Sean Sedwards +1
We consider the problem of cross-sensor domain adaptation in the context of LiDAR-based 3D object detection and propose Stationary Object Aggregation Pseudo-labelling (SOAP) to gen…