activity
20242026
most citedLifelong 3D Mapping Framework for Hand-held & Robot-mounted LiDAR Mapping Systems

15 citations · 23 across the 8 of their papers we have counts for

collaborators

8 papers

cs.RO2026

Orchestrating Spatial Semantics via a Zone-Graph Paradigm for Intricate Indoor Scene Generation

Meisheng Zhang, Shizhao Sun, Yang Zhao +3

Autonomous 3D indoor scene synthesis breaks down in non-convex rooms with tightly coupled spatial constraints. Data-driven generators lack topological priors for long-horizon plann…

cs.CV2026

VideoWeaver: Multimodal Multi-View Video-to-Video Transfer for Embodied Agents

George Eskandar, Fengyi Shen, Mohammad Altillawi +4

Recent progress in video-to-video (V2V) translation has enabled realistic resimulation of embodied AI demonstrations, a capability that allows pretrained robot policies to be trans…

cs.RO2026

ReMem-VLA: Empowering Vision-Language-Action Model with Memory via Dual-Level Recurrent Queries

Hang Li, Fengyi Shen, Dong Chen +6

Vision-language-action (VLA) models for closed-loop robot control are typically cast under the Markov assumption, making them prone to errors on tasks requiring historical context.…

cs.CV2026

ConfCtrl: Enabling Precise Camera Control in Video Diffusion via Confidence-Aware Interpolation

Liudi Yang, George Eskandar, Fengyi Shen +5

We address the challenge of novel view synthesis from only two input images under large viewpoint changes. Existing regression-based methods lack the capacity to reconstruct unseen…

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.CV2025

ConsistentDreamer: View-Consistent Meshes Through Balanced Multi-View Gaussian Optimization

Onat Şahin, Mohammad Altillawi, George Eskandar +2

Recent advances in diffusion models have significantly improved 3D generation, enabling the use of assets generated from an image for embodied AI simulations. However, the one-to-m…