activity
20242026
most citedZeroGS: Training 3D Gaussian Splatting from Unposed Images

1 citations · 2 across the 8 of their papers we have counts for

collaborators

9 papers

cs.CV2026

Dex2HOI: Dexterous Bimanual Two-Object Interaction Generation

Chrysa Pratikaki, Pablo Ruiz-Ponce, Jiankang Deng +2

Recent advances in 4D Human-Object Interaction (HOI) generation have enabled increasingly realistic motion synthesis, particularly for single-object manipulation. Yet current resea…

cs.CV2026

MaDiS: Taming Masked Diffusion Language Models for Sign Language Generation

Ronglai Zuo, Rolandos Alexandros Potamias, Qi Sun +3

Sign language generation (SLG) aims to translate written texts into expressive sign motions, bridging communication barriers for the Deaf and Hard-of-Hearing communities. Recent st…

cs.CV2025

VTimeCoT: Thinking by Drawing for Video Temporal Grounding and Reasoning

Jinglei Zhang, Yuanfan Guo, Rolandos Alexandros Potamias +3

In recent years, video question answering based on multimodal large language models (MLLM) has garnered considerable attention, due to the benefits from the substantial advancement…

cs.CV2025

ImHead: A Large-scale Implicit Morphable Model for Localized Head Modeling

Rolandos Alexandros Potamias, Stathis Galanakis, Jiankang Deng +2

Over the last years, 3D morphable models (3DMMs) have emerged as a state-of-the-art methodology for modeling and generating expressive 3D avatars. However, given their reliance on…

cs.RO2025

CEDex: Cross-Embodiment Dexterous Grasp Generation at Scale from Human-like Contact Representations

Zhiyuan Wu, Rolandos Alexandros Potamias, Xuyang Zhang +3

Cross-embodiment dexterous grasp synthesis refers to adaptively generating and optimizing grasps for various robotic hands with different morphologies. This capability is crucial f…

cs.RO2025

Embodied Arena: A Comprehensive, Unified, and Evolving Evaluation Platform for Embodied AI

Fei Ni, Min Zhang, Pengyi Li +34

Embodied AI development significantly lags behind large foundation models due to three critical challenges: (1) lack of systematic understanding of core capabilities needed for Emb…

cs.CV2025

HaWoR: World-Space Hand Motion Reconstruction from Egocentric Videos

Jinglei Zhang, Jiankang Deng, Chao Ma +1

Despite the advent in 3D hand pose estimation, current methods predominantly focus on single-image 3D hand reconstruction in the camera frame, overlooking the world-space motion of…

cs.CV2024★ 1 cited

ZeroGS: Training 3D Gaussian Splatting from Unposed Images

Yu Chen, Rolandos Alexandros Potamias, Evangelos Ververas +3

Neural radiance fields (NeRF) and 3D Gaussian Splatting (3DGS) are popular techniques to reconstruct and render photo-realistic images. However, the pre-requisite of running Struct…

cs.CV2024★ 1 cited

Signs as Tokens: A Retrieval-Enhanced Multilingual Sign Language Generator

Ronglai Zuo, Rolandos Alexandros Potamias, Evangelos Ververas +2

Sign language is a visual language that encompasses all linguistic features of natural languages and serves as the primary communication method for the deaf and hard-of-hearing com…