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 [...]
Binaural SoundNet: Predicting Semantics, Depth and Motion with Binaural Sounds Publication "Binaural SoundNet: Predicting Semantics, Depth and Motion with Binaural Sounds" Dengxin [...]
DAFormer: Improving Network Architectures and Training Strategies for Domain-Adaptive Semantic Segmentation Publication "DAFormer: Improving Network Architectures and Training Strategies for Domain-Adaptive Semantic [...]
