127 citations · 254 across the 5 of their papers we have counts for
5 papers
Interpretable Modeling of Single-cell perturbation Responses to Novel Drugs Using Cycle Consistence Learning
Wei Huang, Aichun Zhu, Hui Liu
Phenotype-based screening has attracted much attention for identifying cell-active compounds. Transcriptional and proteomic profiles of cell population or single cells are informat…
TVPR: Text-to-Video Person Retrieval and a New Benchmark
Xu Zhang, Fan Ni, Guan-Nan Dong +4
Most existing methods for text-based person retrieval focus on text-to-image person retrieval. Nevertheless, due to the lack of dynamic information provided by isolated frames, the…
Look Before You Leap: Improving Text-based Person Retrieval by Learning A Consistent Cross-modal Common Manifold
Zijie Wang, Aichun Zhu, Jingyi Xue +4
The core problem of text-based person retrieval is how to bridge the heterogeneous gap between multi-modal data. Many previous approaches contrive to learning a latent common manif…
CAIBC: Capturing All-round Information Beyond Color for Text-based Person Retrieval
Zijie Wang, Aichun Zhu, Jingyi Xue +4
Given a natural language description, text-based person retrieval aims to identify images of a target person from a large-scale person image database. Existing methods generally fa…
Bi-level Doubly Variational Learning for Energy-based Latent Variable Models
Ge Kan, Jinhu Lü, Tian Wang +5
Energy-based latent variable models (EBLVMs) are more expressive than conventional energy-based models. However, its potential on visual tasks are limited by its training process b…