Search Results for author: Zicong Fan

Found 10 papers, 5 papers with code

GraspXL: Generating Grasping Motions for Diverse Objects at Scale

no code implementations28 Mar 2024 HUI ZHANG, Sammy Christen, Zicong Fan, Otmar Hilliges, Jie Song

Moreover, we show that our framework can be deployed to different dexterous hands and work with reconstructed or generated objects.


HMP: Hand Motion Priors for Pose and Shape Estimation from Video

no code implementations27 Dec 2023 Enes Duran, Muhammed Kocabas, Vasileios Choutas, Zicong Fan, Michael J. Black

Therefore, we develop a generative motion prior specific for hands, trained on the AMASS dataset which features diverse and high-quality hand motions.

3D Hand Pose Estimation Motion Estimation

HOLD: Category-agnostic 3D Reconstruction of Interacting Hands and Objects from Video

1 code implementation CVPR 2024 Zicong Fan, Maria Parelli, Maria Eleni Kadoglou, Muhammed Kocabas, Xu Chen, Michael J. Black, Otmar Hilliges

Since humans interact with diverse objects every day, the holistic 3D capture of these interactions is important to understand and model human behaviour.

3D Reconstruction Object +1

TempCLR: Reconstructing Hands via Time-Coherent Contrastive Learning

1 code implementation1 Sep 2022 Andrea Ziani, Zicong Fan, Muhammed Kocabas, Sammy Christen, Otmar Hilliges

We introduce TempCLR, a new time-coherent contrastive learning approach for the structured regression task of 3D hand reconstruction.

Contrastive Learning Hand Pose Estimation

ARCTIC: A Dataset for Dexterous Bimanual Hand-Object Manipulation

1 code implementation CVPR 2023 Zicong Fan, Omid Taheri, Dimitrios Tzionas, Muhammed Kocabas, Manuel Kaufmann, Michael J. Black, Otmar Hilliges

In part this is because there exist no datasets with ground-truth 3D annotations for the study of physically consistent and synchronised motion of hands and articulated objects.

3D Reconstruction Object

A Skeleton-Driven Neural Occupancy Representation for Articulated Hands

no code implementations23 Sep 2021 Korrawe Karunratanakul, Adrian Spurr, Zicong Fan, Otmar Hilliges, Siyu Tang

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 in end-to-end trainable architectures.

OptiBox: Breaking the Limits of Proposals for Visual Grounding

no code implementations29 Nov 2019 Zicong Fan, Si Yi Meng, Leonid Sigal, James J. Little

The problem of language grounding has attracted much attention in recent years due to its pivotal role in more general image-lingual high level reasoning tasks (e. g., image captioning, VQA).

Image Captioning Visual Grounding +1

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