Search Results for author: Allen Y. Yang

Found 14 papers, 4 papers with code

Robust 6DoF Pose Estimation Against Depth Noise and a Comprehensive Evaluation on a Mobile Dataset

3 code implementations24 Sep 2023 Zixun Huang, Keling Yao, Seth Z. Zhao, Chuanyu Pan, Chenfeng Xu, Kathy Zhuang, Tianjian Xu, Weiyu Feng, Allen Y. Yang

In this paper, we extensively investigate the robustness of existing RGBD-based 6DoF pose estimation methods against varying levels of depth sensor noise.

3D Object Tracking Object +2

Model Predictive Control for Integrated Lateral Stability

1 code implementation9 Jun 2023 Jad Yahya, Siddharth Saha, Haoru Xue, Allen Y. Yang

This paper studies the design of a Model Predictive Controller (MPC) for integrated lateral stability, traction/braking control, and rollover prevention of electric vehicles intended for very high speed (VHS) racing applications.

Model Predictive Control

Mutual Scene Synthesis for Mixed Reality Telepresence

no code implementations1 Apr 2022 Mohammad Keshavarzi, Michael Zollhoefer, Allen Y. Yang, Patrick Peluse, Luisa Caldas

Remote telepresence via next-generation mixed reality platforms can provide higher levels of immersion for computer-mediated communications, allowing participants to engage in a wide spectrum of activities, previously not possible in 2D screen-based communication methods.

Mixed Reality

Contextual Scene Augmentation and Synthesis via GSACNet

no code implementations29 Mar 2021 Mohammad Keshavarzi, Flaviano Christian Reyes, Ritika Shrivastava, Oladapo Afolabi, Luisa Caldas, Allen Y. Yang

Indoor scene augmentation has become an emerging topic in the field of computer vision and graphics with applications in augmented and virtual reality.

Data Augmentation Graph Attention

GenScan: A Generative Method for Populating Parametric 3D Scan Datasets

no code implementations7 Dec 2020 Mohammad Keshavarzi, Oladapo Afolabi, Luisa Caldas, Allen Y. Yang, Avideh Zakhor

To address this challenge, we introduce GenScan, a generative system that populates synthetic 3D scan datasets in a parametric fashion.

Data Augmentation Style Transfer

Extending DeepSDF for automatic 3D shape retrieval and similarity transform estimation

no code implementations20 Apr 2020 Oladapo Afolabi, Allen Y. Yang, S. Shankar Sastry

Recent advances in computer graphics and computer vision have found successful application of deep neural network models for 3D shapes based on signed distance functions (SDFs) that are useful for shape representation, retrieval, and completion.

3D Shape Classification 3D Shape Retrieval +2

Optimization and Manipulation of Contextual Mutual Spaces for Multi-User Virtual and Augmented Reality Interaction

no code implementations14 Oct 2019 Mohammad Keshavarzi, Allen Y. Yang, Woojin Ko, Luisa Caldas

This limitation is elevated in remote multi-user interaction scenarios, where finding a common virtual ground physically accessible for all participants becomes challenging.

Sparse Illumination Learning and Transfer for Single-Sample Face Recognition with Image Corruption and Misalignment

no code implementations8 Feb 2014 Liansheng Zhuang, Tsung-Han Chan, Allen Y. Yang, S. Shankar Sastry, Yi Ma

In particular, the single-sample face alignment accuracy is comparable to that of the well-known Deformable SRC algorithm using multiple gallery images per class.

Face Alignment Face Recognition +1

Single-Sample Face Recognition with Image Corruption and Misalignment via Sparse Illumination Transfer

no code implementations CVPR 2013 Liansheng Zhuang, Allen Y. Yang, Zihan Zhou, S. Shankar Sastry, Yi Ma

To compensate the missing illumination information typically provided by multiple training images, a sparse illumination transfer (SIT) technique is introduced.

Face Alignment Face Recognition +1

Compressive Shift Retrieval

no code implementations20 Mar 2013 Henrik Ohlsson, Yonina C. Eldar, Allen Y. Yang, S. Shankar Sastry

The problem is of great importance in many applications and is typically solved by maximizing the cross-correlation between the two signals.

Compressive Sensing Retrieval

Fast L1-Minimization Algorithms For Robust Face Recognition

no code implementations21 Jul 2010 Allen Y. Yang, Zihan Zhou, Arvind Ganesh, S. Shankar Sastry, Yi Ma

L1-minimization refers to finding the minimum L1-norm solution to an underdetermined linear system b=Ax.

Compressive Sensing Face Recognition +1

Fast L1-Minimization Algorithms For Robust Face Recognition

1 code implementation21 Jul 2010 Allen Y. Yang, Zihan Zhou, Arvind Ganesh, S. Shankar Sastry, Yi Ma

L1-minimization refers to finding the minimum L1-norm solution to an underdetermined linear system b=Ax.

Compressive Sensing Face Recognition +1

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