1 citations · 2 across the 9 of their papers we have counts for
9 papers
Report of the 8th LSVOS Challenge: Complex and Multimodal Video Object Segmentation
Chang Liu, Henghui Ding, Lingyi Hong +36
This report summarizes the 8th Large-scale Video Object Segmentation (LSVOS) Challenge, held in conjunction with ECCV 2026. The challenge evaluates video segmentation in three comp…
MLLM-Assisted Audio VOS: A 3rd Place Report for the MeViS-Audio Track, 8th LSVOS Challenge
Liangtao Shi, Jinxia Xie, Xiantao Hu +1
In this technical report, we present a training-free framework for audio-guided video object segmentation, which integrates Multimodal Large Language Models (MLLMs) with SAM-based…
Dual-branch Distilled Transformer for Efficient Asymmetric UAV Tracking
Hongtao Yang, Bineng Zhong, Qihua Liang +4
Given the real-time demands of UAV tracking, many methods simplify the backbone to reduce computation, but this often weakens feature representation and degrades performance in com…
Digital Twin-Enabled Mobility-Aware Cooperative Caching in Vehicular Edge Computing
Jiahao Zeng, Zhenkui Shi, Chunpei Li +5
With the advancement of vehicle-to-vehicle (V2V) ad hoc networks and wireless communication technologies, mobile edge caching has become a key enabler for enhancing network perform…
Explicit Context Reasoning with Supervision for Visual Tracking
Fansheng Zeng, Bineng Zhong, Haiying Xia +4
Contextual reasoning with constraints is crucial for enhancing temporal consistency in cross-frame modeling for visual tracking. However, mainstream tracking algorithms typically a…
SwimVG: Step-wise Multimodal Fusion and Adaption for Visual Grounding
Liangtao Shi, Ting Liu, Xiantao Hu +3
Visual grounding aims to ground an image region through natural language, which heavily relies on cross-modal alignment. Most existing methods transfer visual/linguistic knowledge…
Adaptive Perception for Unified Visual Multi-modal Object Tracking
Xiantao Hu, Bineng Zhong, Qihua Liang +4
Recently, many multi-modal trackers prioritize RGB as the dominant modality, treating other modalities as auxiliary, and fine-tuning separately various multi-modal tasks. This imba…
Exploiting Multimodal Spatial-temporal Patterns for Video Object Tracking
Xiantao Hu, Ying Tai, Xu Zhao +5
Multimodal tracking has garnered widespread attention as a result of its ability to effectively address the inherent limitations of traditional RGB tracking. However, existing mult…
Personalized federated learning based on feature fusion
Wolong Xing, Zhenkui Shi, Hongyan Peng +2
Federated learning enables distributed clients to collaborate on training while storing their data locally to protect client privacy. However, due to the heterogeneity of data, mod…