Search Results for author:
Found 7 papers, 4 papers with code
Grad-CAMO: Learning Interpretable Single-Cell Morphological Profiles from 3D Cell Painting Images
Despite their black-box nature, deep learning models are extensively used in image-based drug discovery to extract feature vectors from single cells in microscopy images.
BigGait: Learning Gait Representation You Want by Large Vision Models
Gait recognition stands as one of the most pivotal remote identification technologies and progressively expands across research and industry communities.
SkeletonGait: Gait Recognition Using Skeleton Maps
In this paper, we introduce a novel skeletal gait representation named skeleton map, together with SkeletonGait, a skeleton-based method to exploit structural information from human skeleton maps.
Pedestrian Attribute Editing for Gait Recognition and Anonymization
As a kind of biometrics, the gait information of pedestrians has attracted widespread attention from both industry and academia since it can be acquired from long distances without the cooperation of targets.
An Identity-Preserved Framework for Human Motion Transfer
Although previous methods have achieved good results in synthesizing good-quality videos, they lose sight of individualized motion information from the source and target motions, which is significant for the realism of the motion in the generated video.
Spatially resolved BPT mapping of nearby Seyfert 2 galaxies
The Seyfert nucleus and ionization cones transition to and are surrounded by a LINER cocoon, extending up to $\sim$ 250 pc in thickness.
Astrophysics of Galaxies
Identifying the Absorption Bump with Deep Learning
In this paper, we apply Deep Learning techniques to detect the broad absorption bump.
