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20242026
most citedScalable Event Cloud Network for Event-based Classification

1 citations · 1 across the 4 of their papers we have counts for

collaborators

10 papers

cs.CV2026

DIMOS: Disentangling Instance-level Moving Object Segmentation

Hongxiang Huang, Hongwei Ren, Xiaopeng Lin +3

Moving instance segmentation (MIS) attracts increasing attention due to its broad applications in traffic surveillance, autonomous driving, and animal tracking. Event cameras recor…

cs.CV20261 cited

Scalable Event Cloud Network for Event-based Classification

Hongwei Ren, Fei Ma, Xiaopeng Lin +9

Event cameras are biologically inspired sensors garnering significant attention from both industry and academia. Mainstream methods favor frame and voxel representations, which rea…

cs.LG2026

MDN: Parallelizing Stepwise Momentum for Delta Linear Attention

Yulong Huang, Xiang Liu, Hongxiang Huang +5

Linear Attention (LA) offers a promising paradigm for scaling large language models (LLMs) to long sequences by avoiding the quadratic complexity of self-attention. Recent LA model…

cs.CV2026

Exploring Data-Free LoRA Transferability for Video Diffusion Models

Yuchen Wang, Wenliang Zhong, Lichen Bai +6

Video diffusion models leveraging step distillation or causal distillation have achieved remarkable performance. However, adapting existing LoRAs to these variants remains a critic…

cs.CV2025

SIS-Challenge: Event-based Spatio-temporal Instance Segmentation Challenge at the CVPR 2025 Event-based Vision Workshop

Friedhelm Hamann, Emil Mededovic, Fabian Gülhan +21

We present an overview of the Spatio-temporal Instance Segmentation (SIS) challenge held in conjunction with the CVPR 2025 Event-based Vision Workshop. The task is to predict accur…

cs.CV2025

Exploring Temporal Dynamics in Event-based Eye Tracker

Hongwei Ren, Xiaopeng Lin, Hongxiang Huang +2

Eye-tracking is a vital technology for human-computer interaction, especially in wearable devices such as AR, VR, and XR. The realization of high-speed and high-precision eye-track…