Search Results for author: Adrian Spurr

Found 9 papers, 4 papers with code

Learning to Disambiguate Strongly Interacting Hands via Probabilistic Per-pixel Part Segmentation

no code implementations1 Jul 2021 Zicong Fan, Adrian Spurr, Muhammed Kocabas, Siyu Tang, Michael J. Black, Otmar Hilliges

In this paper we demonstrate that self-similarity, and the resulting ambiguities in assigning pixel observations to the respective hands and their parts, is a major cause of the final 3D pose error.

Hand Pose Estimation

Self-Supervised 3D Hand Pose Estimation from monocular RGB via Contrastive Learning

no code implementations10 Jun 2021 Adrian Spurr, Aneesh Dahiya, Xi Wang, Xucong Zhang, Otmar Hilliges

Encouraged by the success of contrastive learning on image classification tasks, we propose a new self-supervised method for the structured regression task of 3D hand pose estimation.

3D Hand Pose Estimation Contrastive Learning +2

Adversarial Motion Modelling helps Semi-supervised Hand Pose Estimation

no code implementations10 Jun 2021 Adrian Spurr, Pavlo Molchanov, Umar Iqbal, Jan Kautz, Otmar Hilliges

Hand pose estimation is difficult due to different environmental conditions, object- and self-occlusion as well as diversity in hand shape and appearance.

Hand Pose Estimation

Photo-Realistic Monocular Gaze Redirection Using Generative Adversarial Networks

1 code implementation ICCV 2019 Zhe He, Adrian Spurr, Xucong Zhang, Otmar Hilliges

In this work, we present a novel method to alleviate this problem by leveraging generative adversarial training to synthesize an eye image conditioned on a target gaze direction.

Gaze Estimation gaze redirection

Deep Pictorial Gaze Estimation

1 code implementation ECCV 2018 Seonwook Park, Adrian Spurr, Otmar Hilliges

In this paper, we introduce a novel deep neural network architecture specifically designed for the task of gaze estimation from single eye input.

Gaze Estimation

Cross-modal Deep Variational Hand Pose Estimation

1 code implementation CVPR 2018 Adrian Spurr, Jie Song, Seonwook Park, Otmar Hilliges

Furthermore, we show that our proposed method can be used without changes on depth images and performs comparably to specialized methods.

Hand Pose Estimation

Guiding InfoGAN with Semi-Supervision

1 code implementation14 Jul 2017 Adrian Spurr, Emre Aksan, Otmar Hilliges

In this paper we propose a new semi-supervised GAN architecture (ss-InfoGAN) for image synthesis that leverages information from few labels (as little as 0. 22%, max.

Image Generation

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