Publications (7)
Auto-Encoding Twin-Bottleneck Hashing
Yuming Shen, Jie Qin, Jiaxin Chen +5
Conventional unsupervised hashing methods usually take advantage of similarity graphs, which are either pre-computed in the high-dimensional space or obtained from random anchor po…
STAR: A Structure and Texture Aware Retinex Model
Jun Xu, Yingkun Hou, Dongwei Ren +5
Retinex theory is developed mainly to decompose an image into the illumination and reflectance components by analyzing local image derivatives. In this theory, larger derivatives a…
Kernelized Multiview Projection
Mengyang Yu, Li Liu, Ling Shao
Conventional vision algorithms adopt a single type of feature or a simple concatenation of multiple features, which is always represented in a high-dimensional space. In this paper…
Scaled Simplex Representation for Subspace Clustering
Jun Xu, Mengyang Yu, Ling Shao +4
The self-expressive property of data points, i.e., each data point can be linearly represented by the other data points in the same subspace, has proven effective in leading subspa…
TianJi-Environ: An Autonomous AI Scientist for Atmospheric Environmental Research
Haoluo Zhao, Hongchun Zhang, Nan Li +6
As atmospheric environmental prediction continues to improve, interpretable validation of pollution mechanisms and feedback processes has become a main challenge in atmospheric che…
Projection Bank: From High-dimensional Data to Medium-length Binary Codes
Li Liu, Mengyang Yu, Ling Shao
Recently, very high-dimensional feature representations, e.g., Fisher Vector, have achieved excellent performance for visual recognition and retrieval. However, these lengthy repre…