Tianma Shen — accepted AI-conference papers

2025

Fish2Mesh Transformer: 3D Human Mesh Recovery from Egocentric Vision

Tianma Shen, Aditya Puranik, James Vong, Vrushabh Deogirikar, Ryan Fell, Julianna Dietrich +3

ICCV 2025poster

Egocentric human body estimation allows for the inference of user body pose and shape from a wearable camera's first-person perspective. Although research has used pose estimation techniques to overcome self-occlusions and image distortions caused by head-mounted fisheye images, similar advances in…

Cited by 0 Source ↗PDF ↗Scholar ↗

2023

MoEmo Vision Transformer: Integrating Cross-Attention and Movement Vectors in 3D Pose Estimation for HRI Emotion Detection

David C. Jeong, Tianma Shen, Hongji Liu, Raghav Kapoor, Casey Nguyen, Song Liu +1

IROS 2023poster

Emotion detection presents challenges to intelligent human-robot interaction (HRI). Foundational deep learning techniques used in emotion detection are limited by information-constrained datasets or models that lack the necessary complexity to learn interactions between input data elements, such as…

Cited by 3 Source ↗code ↗Scholar ↗