activity
20232025
most citedControlUDA: Controllable Diffusion-assisted Unsupervised Domain Adaptation for Cross-Weather Semantic Segmentation

1 citations · 1 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2025

RoboEnvision: A Long-Horizon Video Generation Model for Multi-Task Robot Manipulation

Liudi Yang, Yang Bai, George Eskandar +7

We address the problem of generating long-horizon videos for robotic manipulation tasks. Text-to-video diffusion models have made significant progress in photorealism, language und…

cs.CV2025

CE-NPBG: Connectivity Enhanced Neural Point-Based Graphics for Novel View Synthesis in Autonomous Driving Scenes

Mohammad Altillawi, Fengyi Shen, Liudi Yang +2

Current point-based approaches encounter limitations in scalability and rendering quality when using large 3D point cloud maps because using them directly for novel view synthesis…

cs.CV20241 cited

ControlUDA: Controllable Diffusion-assisted Unsupervised Domain Adaptation for Cross-Weather Semantic Segmentation

Fengyi Shen, Li Zhou, Kagan Kucukaytekin +3

Data generation is recognized as a potent strategy for unsupervised domain adaptation (UDA) pertaining semantic segmentation in adverse weathers. Nevertheless, these adverse weathe…

cs.CV2023

Long-Term Invariant Local Features via Implicit Cross-Domain Correspondences

Zador Pataki, Mohammad Altillawi, Menelaos Kanakis +5

Modern learning-based visual feature extraction networks perform well in intra-domain localization, however, their performance significantly declines when image pairs are captured…

cs.CV2023

DiGA: Distil to Generalize and then Adapt for Domain Adaptive Semantic Segmentation

Fengyi Shen, Akhil Gurram, Ziyuan Liu +2

Domain adaptive semantic segmentation methods commonly utilize stage-wise training, consisting of a warm-up and a self-training stage. However, this popular approach still faces se…