Yongxiang Feng

2 accepted papers

2025

E2B: A Single Modality Point-Based Tracker with Event Cameras

Hongwei Ren, Zhuo Li, Aiersi Tuerhong, Haobo Liu, Fei Liang, Yongxiang Feng +5

ICRA 2025

High-speed object tracking holds significant relevance across robotic domains, such as drones and autonomous driving. Compared to conventional cameras, event cameras are equipped with the ability to capture object motion information at exceptionally high temporal resolution with relatively low power

Cited by 1 Source ↗Scholar ↗

2023

Test-Time Training-Free Domain Adaptation

Yongxiang Feng, Weihua He, Kaichao You, Bing Liu, Ziyang Zhang, Yaoyuan Wang +5

ICASSP 2023accepted

Deploying deep learning models to new environments is very challenging. Domain adaptation (DA) is a promising paradigm to solve the problem by collecting and adapting to unlabeled data in new environments. Though research efforts have led to steady performance improvement over the past decade, DA al…

Cited by 0 Source ↗Scholar ↗