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20232025
most citedDeep Learning for Event-based Vision: A Comprehensive Survey and Benchmarks

40 citations · 50 across the 8 of their papers we have counts for

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7 papers · 1 filter

cs.CV2025

Leader360V: The Large-scale, Real-world 360 Video Dataset for Multi-task Learning in Diverse Environment

Weiming Zhang, Dingwen Xiao, Aobotao Dai +5

360 video captures the complete surrounding scenes with the ultra-large field of view of 360X180. This makes 360 scene understanding tasks, eg, segmentation and tracking, crucial f…

cs.CV2024★ 1 cited

GoodSAM++: Bridging Domain and Capacity Gaps via Segment Anything Model for Panoramic Semantic Segmentation

Weiming Zhang, Yexin Liu, Xu Zheng +1

This paper presents GoodSAM++, a novel framework utilizing the powerful zero-shot instance segmentation capability of SAM (i.e., teacher) to learn a compact panoramic semantic segm…

cs.CV2024★ 3 cited

Unsupervised Visible-Infrared ReID via Pseudo-label Correction and Modality-level Alignment

Yexin Liu, Weiming Zhang, Athanasios V. Vasilakos +1

Unsupervised visible-infrared person re-identification (UVI-ReID) has recently gained great attention due to its potential for enhancing human detection in diverse environments wit…

cs.CV2024

GoodSAM: Bridging Domain and Capacity Gaps via Segment Anything Model for Distortion-aware Panoramic Semantic Segmentation

Weiming Zhang, Yexin Liu, Xu Zheng +1

This paper tackles a novel yet challenging problem: how to transfer knowledge from the emerging Segment Anything Model (SAM) -- which reveals impressive zero-shot instance segmenta…

cs.CV2023★ 4 cited

Test-Time Adaptation for Nighttime Color-Thermal Semantic Segmentation

Yexin Liu, Weiming Zhang, Guoyang Zhao +3

The ability to scene understanding in adverse visual conditions, e.g., nighttime, has sparked active research for RGB-Thermal (RGB-T) semantic segmentation. However, it is essentia…

cs.CV2023★ 2 cited

Both Style and Distortion Matter: Dual-Path Unsupervised Domain Adaptation for Panoramic Semantic Segmentation

Xu Zheng, Jinjing Zhu, Yexin Liu +3

The ability of scene understanding has sparked active research for panoramic image semantic segmentation. However, the performance is hampered by distortion of the equirectangular…

cs.CV2023★ 40 cited

Deep Learning for Event-based Vision: A Comprehensive Survey and Benchmarks

Xu Zheng, Yexin Liu, Yunfan Lu +5

Event cameras are bio-inspired sensors that capture the per-pixel intensity changes asynchronously and produce event streams encoding the time, pixel position, and polarity (sign)…