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Kunyu Wang

7 accepted papers

2025

EventMamba: Enhancing Spatio-Temporal Locality with State Space Models for Event-Based Video Reconstruction

AAAI 2025technical

Leveraging its robust linear global modeling capability, Mamba has notably excelled in computer vision. Despite its success, existing Mamba-based vision models have overlooked the nuances of event-driven tasks, especially in video reconstruction. Event-based video reconstruction (EBVR) demands spati…

Cited by 0SourcePDFScholar
2025

PAID: Pairwise Angular-Invariant Decomposition for Continual Test-Time Adaptation

NeurIPS 2025poster

Continual Test-Time Adaptation (CTTA) aims to online adapt a pre-trained model to changing environments during inference. Most existing methods focus on exploiting target data, while overlooking another crucial source of information, the pre-trained weights, which encode underutilized domain-invaria…

Cited by 0SourcecodeScholar
2025

Uni-NaVid: A Video-based Vision-Language-Action Model for Unifying Embodied Navigation Tasks

RSS 2025poster

Embodied Navigation is a fundamental capability for intelligent robots, requiring robots to follow human commands and move autonomously within physical environments. Despite significant advancements, most existing navigation approaches are tailored to specific navigation tasks, such as instruction f…

Cited by 12PDFScholar
2024

Boosting Adversarial Transferability by Block Shuffle and Rotation

CVPR 2024poster

Adversarial examples mislead deep neural networks with imperceptible perturbations and have brought significant threats to deep learning. An important aspect is their transferability which refers to their ability to deceive other models thus enabling attacks in the black-box setting. Though various…

2024

NaVid: Video-based VLM Plans the Next Step for Vision-and-Language Navigation

RSS 2024poster

Vision-and-language navigation (VLN) stands as a key research problem of Embodied AI, aiming at enabling agents to navigate in unseen environments following linguistic instructions. In this field, generalization is a long-standing challenge, either to out-of-distribution scenes or from Sim to Real.…

Cited by 80SourcePDFScholar
2024

Neuromorphic Event Signal-Driven Network for Video De-raining

AAAI 2024technical

Convolutional neural networks-based video de-raining methods commonly rely on dense intensity frames captured by CMOS sensors. However, the limited temporal resolution of these sensors hinders the capture of dynamic rainfall information, limiting further improvement in de-raining performance. This s…

Cited by 10SourcePDFScholar
2023

Event-Guided Person Re-Identification via Sparse-Dense Complementary Learning

CVPR 2023poster

Video-based person re-identification (Re-ID) is a prominent computer vision topic due to its wide range of video surveillance applications. Most existing methods utilize spatial and temporal correlations in frame sequences to obtain discriminative person features. However, inevitable degradations, e…

Cited by 17SourcePDFScholar