publication-highlight

Benchmarking the Robustness of LiDAR Semantic Segmentation Models Xu Yan, Chaoda Zheng, Zhen Li, Shuguang Cui, Dengxin Dai When using LiDAR semantic segmentation models for safety-critical applications [...]

End-to-End Optimization of LiDAR Beam Configuration for 3D Object Detection and Localization Niclas Vödisch, Ozan Unal, Ke Li, Luc Van Gool, and Dengxin Dai [...]

Adiabatic Quantum Computing for Multi Object Tracking Jan-Nico Zaech, Alexander Liniger, Martin Danelljan, Dengxin Dai, Luc Van Gool Multi-Object Tracking (MOT) is most [...]

LiDAR Snowfall Simulation for Robust 3D Object Detection Martin Hahner, Christos Sakaridis, Mario Bijelic, Felix Heide, Fisher Yu, Dengxin Dai, Luc Van Gool [...]

Continual Test-Time Domain Adaptation Qin Wang, Olga Fink, Luc Van Gool, Dengxin Dai Test-time domain adaptation aims to adapt a source pre-trained model [...]

Decoupling Zero-Shot Semantic Segmentation Jian Ding, Nan Xue, Gui-Song Xia and Dengxin Dai Zero-shot semantic segmentation (ZS3) aims to segment the novel categories [...]

Scribble-Supervised LiDAR Semantic Segmentation Ozan Unal, Dengxin Dai and Luc Van Gool Densely annotating LiDAR point clouds remains too expensive and time-consuming to [...]

HRDA: Context-Aware High-Resolution Domain-Adaptive Semantic Segmentation Lukas Hoyer, Dengxin Dai and Luc Van Gool Unsupervised domain adaptation (UDA) aims to adapt a model trained [...]

Motion Transformer with Global Intention Localization and Local Movement Refinement Shaoshuai Shi, Li Jiang, Dengxin Dai, Bernt Schiele MPI for Informatics Predicting multimodal [...]