12 citations · 22 across the 13 of their papers we have counts for
14 papers
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…
MindChat: Enhancing BCI Spelling with Large Language Models in Realistic Scenarios
JIaheng Wang, Yucun Zhong, Chengjie Huang +1
Brain-computer interface (BCI) spellers can render a new communication channel independent of peripheral nervous system, which are especially valuable for patients with severe moto…
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…
SSL-Interactions: Pretext Tasks for Interactive Trajectory Prediction
Prarthana Bhattacharyya, Chengjie Huang, Krzysztof Czarnecki
This paper addresses motion forecasting in multi-agent environments, pivotal for ensuring safety of autonomous vehicles. Traditional as well as recent data-driven marginal trajecto…
Object Re-Identification from Point Clouds
Benjamin Thérien, Chengjie Huang, Adrian Chow +1
Object re-identification (ReID) from images plays a critical role in application domains of image retrieval (surveillance, retail analytics, etc.) and multi-object tracking (autono…
Out-of-Distribution Detection for LiDAR-based 3D Object Detection
Chengjie Huang, Van Duong Nguyen, Vahdat Abdelzad +5
3D object detection is an essential part of automated driving, and deep neural networks (DNNs) have achieved state-of-the-art performance for this task. However, deep models are no…
SSL-Lanes: Self-Supervised Learning for Motion Forecasting in Autonomous Driving
Prarthana Bhattacharyya, Chengjie Huang, Krzysztof Czarnecki
Self-supervised learning (SSL) is an emerging technique that has been successfully employed to train convolutional neural networks (CNNs) and graph neural networks (GNNs) for more…
LiDAR-MIMO: Efficient Uncertainty Estimation for LiDAR-based 3D Object Detection
Matthew Pitropov, Chengjie Huang, Vahdat Abdelzad +2
The estimation of uncertainty in robotic vision, such as 3D object detection, is an essential component in developing safe autonomous systems aware of their own performance. Howeve…
The missing link: Developing a safety case for perception components in automated driving
Rick Salay, Krzysztof Czarnecki, Hiroshi Kuwajima +6
Safety assurance is a central concern for the development and societal acceptance of automated driving (AD) systems. Perception is a key aspect of AD that relies heavily on Machine…
SA-Det3D: Self-Attention Based Context-Aware 3D Object Detection
Prarthana Bhattacharyya, Chengjie Huang, Krzysztof Czarnecki
Existing point-cloud based 3D object detectors use convolution-like operators to process information in a local neighbourhood with fixed-weight kernels and aggregate global context…