activity
20242026
most citedState Space Model for New-Generation Network Alternative to Transformers: A Survey

19 citations · 19 across the 4 of their papers we have counts for

collaborators

5 papers

cs.AI2026

HeteroHub: An Applicable Data Management Framework for Heterogeneous Multi-Embodied Agent System

Xujia Li, Xin Li, Junquan Huang +3

Heterogeneous Multi-Embodied Agent Systems involve coordinating multiple embodied agents with diverse capabilities to accomplish tasks in dynamic environments. This process require…

cs.CV2025

Mamba-FETrack V2: Revisiting State Space Model for Frame-Event based Visual Object Tracking

Shiao Wang, Ju Huang, Qingchuan Ma +5

Combining traditional RGB cameras with bio-inspired event cameras for robust object tracking has garnered increasing attention in recent years. However, most existing multimodal tr…

cs.CV2024

Mamba-FETrack: Frame-Event Tracking via State Space Model

Ju Huang, Shiao Wang, Shuai Wang +3

RGB-Event based tracking is an emerging research topic, focusing on how to effectively integrate heterogeneous multi-modal data (synchronized exposure video frames and asynchronous…

cs.LG202419 cited

State Space Model for New-Generation Network Alternative to Transformers: A Survey

Xiao Wang, Shiao Wang, Yuhe Ding +13

In the post-deep learning era, the Transformer architecture has demonstrated its powerful performance across pre-trained big models and various downstream tasks. However, the enorm…

cs.CV2024

Long-Term Visual Object Tracking with Event Cameras: An Associative Memory Augmented Tracker and A Benchmark Dataset

Xiao Wang, Xufeng Lou, Shiao Wang +3

Existing event stream based trackers undergo evaluation on short-term tracking datasets, however, the tracking of real-world scenarios involves long-term tracking, and the performa…