222 citations · 246 across the 7 of their papers we have counts for
11 papers
emg2pose: A Large and Diverse Benchmark for Surface Electromyographic Hand Pose Estimation
Sasha Salter, Richard Warren, Collin Schlager +11
Hands are the primary means through which humans interact with the world. Reliable and always-available hand pose inference could yield new and intuitive control schemes for human-…
A Skeleton-Driven Neural Occupancy Representation for Articulated Hands
Korrawe Karunratanakul, Adrian Spurr, Zicong Fan +2
We present Hand ArticuLated Occupancy (HALO), a novel representation of articulated hands that bridges the advantages of 3D keypoints and neural implicit surfaces and can be used i…
Learning to Disambiguate Strongly Interacting Hands via Probabilistic Per-pixel Part Segmentation
Zicong Fan, Adrian Spurr, Muhammed Kocabas +3
In natural conversation and interaction, our hands often overlap or are in contact with each other. Due to the homogeneous appearance of hands, this makes estimating the 3D pose of…
Adversarial Motion Modelling helps Semi-supervised Hand Pose Estimation
Adrian Spurr, Pavlo Molchanov, Umar Iqbal +2
Hand pose estimation is difficult due to different environmental conditions, object- and self-occlusion as well as diversity in hand shape and appearance. Exhaustively covering thi…
PeCLR: Self-Supervised 3D Hand Pose Estimation from monocular RGB via Equivariant Contrastive Learning
Adrian Spurr, Aneesh Dahiya, Xi Wang +2
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 estimati…
Measuring Generalisation to Unseen Viewpoints, Articulations, Shapes and Objects for 3D Hand Pose Estimation under Hand-Object Interaction
Anil Armagan, Guillermo Garcia-Hernando, Seungryul Baek +32
We study how well different types of approaches generalise in the task of 3D hand pose estimation under single hand scenarios and hand-object interaction. We show that the accuracy…
Weakly Supervised 3D Hand Pose Estimation via Biomechanical Constraints
Adrian Spurr, Umar Iqbal, Pavlo Molchanov +2
Estimating 3D hand pose from 2D images is a difficult, inverse problem due to the inherent scale and depth ambiguities. Current state-of-the-art methods train fully supervised deep…
Photo-Realistic Monocular Gaze Redirection Using Generative Adversarial Networks
Zhe He, Adrian Spurr, Xucong Zhang +1
Gaze redirection is the task of changing the gaze to a desired direction for a given monocular eye patch image. Many applications such as videoconferencing, films, games, and gener…
Deep Pictorial Gaze Estimation
Seonwook Park, Adrian Spurr, Otmar Hilliges
Estimating human gaze from natural eye images only is a challenging task. Gaze direction can be defined by the pupil- and the eyeball center where the latter is unobservable in 2D…
Cross-modal Deep Variational Hand Pose Estimation
Adrian Spurr, Jie Song, Seonwook Park +1
The human hand moves in complex and high-dimensional ways, making estimation of 3D hand pose configurations from images alone a challenging task. In this work we propose a method t…
Guiding InfoGAN with Semi-Supervision
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. 10% of the dat…