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20212025
most citedDelivering Arbitrary-Modal Semantic Segmentation

5 citations · 6 across the 8 of their papers we have counts for

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5 papers · 1 filter

cs.CV2025

L2G-Map: Local-to-Global Mapping via Hierarchical Diffusion Refinement and Elliptical Bayesian Fusion

Siyu Li, Xinying Hong, Fei Teng +5

Offline high-definition maps provide essential geometric and topological priors for autonomous driving systems. Pure-vision solutions have become the predominant paradigm for offli…

cs.CV2025

LFX: Towards Unified Light Field Dense Semantic Segmentation and Salient Object Detection

Fei Teng, Lingxin Huang, Buyin Deng +8

Light field cameras capture multi-view observations within a single exposure. However, existing studies are typically tailored to specific LF representations, leaving the field wit…

cs.CV20221 cited

Multi-modal Depression Estimation based on Sub-attentional Fusion

Ping-Cheng Wei, Kunyu Peng, Alina Roitberg +3

Failure to timely diagnose and effectively treat depression leads to over 280 million people suffering from this psychological disorder worldwide. The information cues of depressio…

cs.CV2022

Trans4Map: Revisiting Holistic Bird's-Eye-View Mapping from Egocentric Images to Allocentric Semantics with Vision Transformers

Chang Chen, Jiaming Zhang, Kailun Yang +2

Humans have an innate ability to sense their surroundings, as they can extract the spatial representation from the egocentric perception and form an allocentric semantic map via sp…

cs.CV2021

Exploring Event-driven Dynamic Context for Accident Scene Segmentation

Jiaming Zhang, Kailun Yang, Rainer Stiefelhagen

The robustness of semantic segmentation on edge cases of traffic scene is a vital factor for the safety of intelligent transportation. However, most of the critical scenes of traff…