Mano
PulseAugur coverage of Mano — every cluster mentioning Mano across labs, papers, and developer communities, ranked by signal.
2 day(s) with sentiment data
-
New self-supervised model integrates hand geometry for sign language recognition
Researchers have developed SignDEG, a novel self-supervised sign language representation model that integrates articulated hand geometry. Unlike previous models that relied solely on visual appearance, SignDEG uses geom…
-
New AI models enhance egocentric video generation and hand motion tracking · 3 sources tracked
Researchers have developed new methods for generating egocentric videos that accurately capture hand-object interactions (HOI) and hand motion in world space. Exo2EgoHOI focuses on preserving HOI by using a 4D prior and…
-
Robots learning human actions: Four approaches to bridge video data and robot control · 1 source tracked
A joint paper from Tsinghua University, Hong Kong University of Science and Technology, and Microsoft Research Asia proposes a unified framework for enabling robots to learn human actions from human videos. The research…
-
New DigitCode system offers symbolic representation for hand motion
Researchers have developed DigitCode, a new symbolic representation for hand motion that breaks down continuous data into discrete anatomical units. This approach improves accuracy by three-quarters compared to previous…
-
HandFlow uses flow matching for generative 4D hand reconstruction
Researchers have developed HandFlow, a novel generative framework utilizing flow matching for improved 4D hand reconstruction from monocular video. This approach addresses limitations in existing methods by incorporatin…
-
New Embodied AI Systems Leverage Egocentric Video for Memory and Proactive Assistance
Researchers have introduced new systems and datasets for embodied AI, focusing on memory and proactive assistance from egocentric videos. MEMORA aims to equip robots with embodied action memory, using a lifecycle of for…
-
New HUG model enables zero-shot robotic grasping using human-generated data
Researchers have developed HUG, a flow-matching model capable of generating diverse human grasps from single RGB-D images. This model utilizes a dataset of 1 million human grasps collected via smart glasses, covering ov…
-
New AVI-HT method improves 3D hand tracking with vision-IMU fusion
Researchers have developed AVI-HT, a novel approach for 3D hand tracking that adaptively fuses data from on-glove IMU sensors and egocentric cameras. This method significantly enhances accuracy and availability, especia…