11 citations · 16 across the 6 of their papers we have counts for
6 papers
UniEntrezDB: Large-scale Gene Ontology Annotation Dataset and Evaluation Benchmarks with Unified Entrez Gene Identifiers
Yuwei Miao, Yuzhi Guo, Hehuan Ma +5
Gene studies are crucial for fields such as protein structure prediction, drug discovery, and cancer genomics, yet they face challenges in fully utilizing the vast and diverse info…
Compositional Image Retrieval via Instruction-Aware Contrastive Learning
Wenliang Zhong, Weizhi An, Feng Jiang +3
Composed Image Retrieval (CIR) involves retrieving a target image based on a composed query of an image paired with text that specifies modifications or changes to the visual refer…
Exploring Robustness of Unsupervised Domain Adaptation in Semantic Segmentation
Jinyu Yang, Chunyuan Li, Weizhi An +5
Recent studies imply that deep neural networks are vulnerable to adversarial examples -- inputs with a slight but intentional perturbation are incorrectly classified by the network…
Dense-View GEIs Set: View Space Covering for Gait Recognition based on Dense-View GAN
Rijun Liao, Weizhi An, Shiqi Yu +2
Gait recognition has proven to be effective for long-distance human recognition. But view variance of gait features would change human appearance greatly and reduce its performance…
Context-Aware Domain Adaptation in Semantic Segmentation
Jinyu Yang, Weizhi An, Chaochao Yan +2
In this paper, we consider the problem of unsupervised domain adaptation in the semantic segmentation. There are two primary issues in this field, i.e., what and how to transfer do…
Label-Driven Reconstruction for Domain Adaptation in Semantic Segmentation
Jinyu Yang, Weizhi An, Sheng Wang +3
Unsupervised domain adaptation enables to alleviate the need for pixel-wise annotation in the semantic segmentation. One of the most common strategies is to translate images from t…