activity
20192025
most citedSemantic Foreground Inpainting from Weak Supervision

11 citations · 14 across the 6 of their papers we have counts for

collaborators

7 papers

cs.CV2025★ 1 cited

SparseCoop: Cooperative Perception with Kinematic-Grounded Queries

Jiahao Wang, Zhongwei Jiang, Wenchao Sun +8

Cooperative perception is critical for autonomous driving, overcoming the inherent limitations of a single vehicle, such as occlusions and constrained fields-of-view. However, curr…

cs.CV2025

Landslide Hazard Mapping with Geospatial Foundation Models: Geographical Generalizability, Data Scarcity, and Band Adaptability

Wenwen Li, Sizhe Wang, Hyunho Lee +4

Landslides cause severe damage to lives, infrastructure, and the environment, making accurate and timely mapping essential for disaster preparedness and response. However, conventi…

cs.CV2023★ 1 cited

Content-aware Token Sharing for Efficient Semantic Segmentation with Vision Transformers

Chenyang Lu, Daan de Geus, Gijs Dubbelman

This paper introduces Content-aware Token Sharing (CTS), a token reduction approach that improves the computational efficiency of semantic segmentation networks that use Vision Tra…

cs.CV2021

Part-aware Panoptic Segmentation

Daan de Geus, Panagiotis Meletis, Chenyang Lu +2

In this work, we introduce the new scene understanding task of Part-aware Panoptic Segmentation (PPS), which aims to understand a scene at multiple levels of abstraction, and unifi…

cs.CV2020★ 1 cited

Image-Graph-Image Translation via Auto-Encoding

Chenyang Lu, Gijs Dubbelman

This work presents the first convolutional neural network that learns an image-to-graph translation task without needing external supervision. Obtaining graph representations of im…

cs.CV2020

Cityscapes-Panoptic-Parts and PASCAL-Panoptic-Parts datasets for Scene Understanding

Panagiotis Meletis, Xiaoxiao Wen, Chenyang Lu +2

In this technical report, we present two novel datasets for image scene understanding. Both datasets have annotations compatible with panoptic segmentation and additionally they ha…