activity
20162022
most citedTowards Good Practices in Self-supervised Representation Learning

10 citations · 26 across the 7 of their papers we have counts for

collaborators

10 papers

cs.LG2022

Towards Differential Relational Privacy and its use in Question Answering

Simone Bombari, Alessandro Achille, Zijian Wang +6

Memorization of the relation between entities in a dataset can lead to privacy issues when using a trained model for question answering. We introduce Relational Memorization (RM) t…

cs.CV20214 cited

DocFormer: End-to-End Transformer for Document Understanding

Srikar Appalaraju, Bhavan Jasani, Bhargava Urala Kota +2

We present DocFormer -- a multi-modal transformer based architecture for the task of Visual Document Understanding (VDU). VDU is a challenging problem which aims to understand docu…

cs.CV20202 cited

MVHM: A Large-Scale Multi-View Hand Mesh Benchmark for Accurate 3D Hand Pose Estimation

Liangjian Chen, Shih-Yao Lin, Yusheng Xie +2

Estimating 3D hand poses from a single RGB image is challenging because depth ambiguity leads the problem ill-posed. Training hand pose estimators with 3D hand mesh annotations and…

cs.CV20203 cited

Temporal-Aware Self-Supervised Learning for 3D Hand Pose and Mesh Estimation in Videos

Liangjian Chen, Shih-Yao Lin, Yusheng Xie +2

Estimating 3D hand pose directly from RGB imagesis challenging but has gained steady progress recently bytraining deep models with annotated 3D poses. Howeverannotating 3D poses is…

cs.CV2020

DGGAN: Depth-image Guided Generative Adversarial Networks for Disentangling RGB and Depth Images in 3D Hand Pose Estimation

Liangjian Chen, Shih-Yao Lin, Yusheng Xie +3

Estimating3D hand poses from RGB images is essentialto a wide range of potential applications, but is challengingowing to substantial ambiguity in the inference of depth in-formati…

cs.CV202010 cited

Towards Good Practices in Self-supervised Representation Learning

Srikar Appalaraju, Yi Zhu, Yusheng Xie +1

Self-supervised representation learning has seen remarkable progress in the last few years. More recently, contrastive instance learning has shown impressive results compared to it…