4 papers · 1 filter
Occlusion-Aware Panoptic Segmentation with Joint Position Embedding and Occlusion-Level Attention
Wenbo Wei, Jun Wang, Shan Raza +1
Panoptic segmentation in complex scenes remains challenging because of occlusions, yet modern approaches often neglect occlusion modelling. In this paper, we propose Position Embed…
Improving Medical Visual Representation Learning with Pathological-level Cross-Modal Alignment and Correlation Exploration
Jun Wang, Lixing Zhu, Xiaohan Yu +2
Learning medical visual representations from image-report pairs through joint learning has garnered increasing research attention due to its potential to alleviate the data scarcit…
COCO-OLAC: A Benchmark for Occluded Panoptic Segmentation and Image Understanding
Wenbo Wei, Jun Wang, Abhir Bhalerao
To help address the occlusion problem in panoptic segmentation and image understanding, this paper proposes a new large-scale dataset named COCO-OLAC (COCO Occlusion Labels for All…
Lane Change Classification and Prediction with Action Recognition Networks
Kai Liang, Jun Wang, Abhir Bhalerao
Anticipating lane change intentions of surrounding vehicles is crucial for efficient and safe driving decision making in an autonomous driving system. Previous works often adopt ph…