Observing and Understanding Hands in Action

28th October 2019 (Room 327A)

Posters: #26 to #40

13:30 - 13:40 Welcome and opening

13:40 - 14:10 Invited speaker: Angela Yao

14:10 - 14:40 Invited speaker: Vincent Lepetit

14:40 - 15:00 Hands 2019 Challenge

15:00 - 16:00 Coffee break + Posters (full papers, extended abstracts, invited papers)

16:00 - 16:30 Invited speaker: Ivan Laptev

16:30 - 17:00 Invited speaker: Michael J Black

17:00 - 17:15 Conclusion and awards

Accepted full papers:

• Explicit Spatiotemporal Joint Relation Learning for Tracking Human Pose. Xiao Sun, Chuankang Li and Stephen Lin.
• Talking with Your Hands: Scaling Hand Gestures and Recognition with CNNs. Okan Köpüklü, Yao Rong and Gerhard Rigoll.
• Disentangling Pose from Appearance in Monochrome Hand Images. Yikang Li.
• Hand Pose Ensemble Learning based on Grouping Features of Hand Point Sets. Tianqiang Zhu, Yi Sun, Xiaohong Ma and Xiangbo Lin.
• 3D Hand Pose Estimation from RGB Using Privileged Learning with Depth Data. Shanxin Yuan, Bjorn Stenger and Tae-Kyun Kim.
• The Jester Dataset: A large-scale video dataset of human gestures. Joanna Materzynska, Guillaume Berger, Ingo Bax and Roland Memisevic.

Accepted extended abstracts:

• Retro-Actions: Learning ‘close’ by Time-Reversing ‘open’ Video. Will Price and Dima Damen.
• Synthetic Video Generation for Robust Hand Gesture Recognition in Augmented Reality Applications. Varun Jain, Shivam Aggarwal, Suril S Mehta and Ramya Hebbalaguppe.
• Aligning Latent Spaces for 3D Hand Pose Estimation. Linlin Yang, Shile Li, Dongheui Lee and Angela Yao.

Invited posters:

• FreiHAND: A Dataset for Markerless Capture of Hand Pose and Shape from Single RGB Images. Christian Zimmermann, Duygu Ceylan, Jimei Yang, Bryan Russell, Max Argus and Thomas Brox.
• A2J: Anchor-to-Joint Regression Network for 3D Articulated Pose Estimation from a Single Depth Image. Fu Xiong, Boshen Zhang, Yang Xiao, Zhiguo Cao, Taidong Yu, Joey Tianyi Zhou and Junsong Yuan.
• Exploiting Spatial-temporal Relationships for 3D Pose Estimation via Graph Convolutional Networks. Yujun Cai, Liuhao Ge, Jun Liu, Jianfei Cai, Tat-Jen Cham, Junsong Yuan and Nadia Magnenat Thalmann.
• SO-HandNet: Self-Organizing Network for 3D Hand Pose Estimation with Semi-supervised Learning. Yujin Chen, Zhigang Tu, Liuhao Ge, Dejun Zhang, Ruizhi Chen and Junsong Yuan