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Found 5 papers, 1 papers with code
Leveraging 2D Masked Reconstruction for Domain Adaptation of 3D Pose Estimation
RGB-based 3D pose estimation methods have been successful with the development of deep learning and the emergence of high-quality 3D pose datasets.
SDDGR: Stable Diffusion-based Deep Generative Replay for Class Incremental Object Detection
In the field of class incremental learning (CIL), generative replay has become increasingly prominent as a method to mitigate the catastrophic forgetting, alongside the continuous improvements in generative models.
Transformer-Based Unified Recognition of Two Hands Manipulating Objects
In our framework, we insert the whole image depicting two hands, an object and their interactions as input and jointly estimate 3 information from each frame: poses of two hands, pose of an object and object types.
Ranked #4 on
Action Recognition
on H2O (2 Hands and Objects)
Transformer-based Action recognition in hand-object interacting scenarios
This report describes the 2nd place solution to the ECCV 2022 Human Body, Hands, and Activities (HBHA) from Egocentric and Multi-view Cameras Challenge: Action Recognition.
Transformer-based Global 3D Hand Pose Estimation in Two Hands Manipulating Objects Scenarios
In this challenge, we aim to estimate global 3D hand poses from the input image where two hands and an object are interacting on the egocentric viewpoint.
