activity
20222026
most citedEventEgo3D: 3D Human Motion Capture from Egocentric Event Streams

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

collaborators

10 papers

cs.CV2026

Multi-View Face and Gesture Animation with Dynamic Gaussians

Alireza Javanmardi, Vippin Kumar Jeetmal, Christen Millerdurai +2

Creating photorealistic 3D human avatars with realistic upper-body motion remains challenging. Existing approaches either focus on the head and overlook hand gestures, or reconstru…

cs.CV2026

EgoForce: Forearm-Guided Camera-Space 3D Hand Pose from a Monocular Egocentric Camera

Christen Millerdurai, Shaoxiang Wang, Yaxu Xie +3

Reconstructing the absolute 3D pose and shape of the hands from the user's viewpoint using a single head-mounted camera is crucial for practical egocentric interaction in AR/VR, te…

cs.CV2026

ReLaGS: Relational Language Gaussian Splatting

Yaxu Xie, Abdalla Arafa, Alireza Javanmardi +5

Achieving unified 3D perception and reasoning across tasks such as segmentation, retrieval, and relation understanding remains challenging, as existing methods are either object-ce…

cs.CV2025

TalkingPose: Efficient Face and Gesture Animation with Feedback-guided Diffusion Model

Alireza Javanmardi, Pragati Jaiswal, Tewodros Amberbir Habtegebrial +4

Recent advancements in diffusion models have significantly improved the realism and generalizability of character-driven animation, enabling the synthesis of high-quality motion fr…

cs.CV2025

Inpaint360GS: Efficient Object-Aware 3D Inpainting via Gaussian Splatting for 360° Scenes

Shaoxiang Wang, Shihong Zhang, Christen Millerdurai +3

Despite recent advances in single-object front-facing inpainting using NeRF and 3D Gaussian Splatting (3DGS), inpainting in complex 360° scenes remains largely underexplored. This…

cs.CV2025

EventEgo3D++: 3D Human Motion Capture from a Head-Mounted Event Camera

Christen Millerdurai, Hiroyasu Akada, Jian Wang +5

Monocular egocentric 3D human motion capture remains a significant challenge, particularly under conditions of low lighting and fast movements, which are common in head-mounted dev…

cs.CV2024

Uni-SLAM: Uncertainty-Aware Neural Implicit SLAM for Real-Time Dense Indoor Scene Reconstruction

Shaoxiang Wang, Yaxu Xie, Chun-Peng Chang +3

Neural implicit fields have recently emerged as a powerful representation method for multi-view surface reconstruction due to their simplicity and state-of-the-art performance. How…

cs.CV2024★ 1 cited

EventEgo3D: 3D Human Motion Capture from Egocentric Event Streams

Christen Millerdurai, Hiroyasu Akada, Jian Wang +3

Monocular egocentric 3D human motion capture is a challenging and actively researched problem. Existing methods use synchronously operating visual sensors (e.g. RGB cameras) and of…

cs.CV2023

3D Pose Estimation of Two Interacting Hands from a Monocular Event Camera

Christen Millerdurai, Diogo Luvizon, Viktor Rudnev +4

3D hand tracking from a monocular video is a very challenging problem due to hand interactions, occlusions, left-right hand ambiguity, and fast motion. Most existing methods rely o…

cs.CV2022

Show Me Your Face, And I'll Tell You How You Speak

Christen Millerdurai, Lotfy Abdel Khaliq, Timon Ulrich

When we speak, the prosody and content of the speech can be inferred from the movement of our lips. In this work, we explore the task of lip to speech synthesis, i.e., learning to…