activity
20192023
most citedRegularized Graph Structure Learning with Semantic Knowledge for Multi-variates Time-Series Forecasting

68 citations · 144 across the 7 of their papers we have counts for

collaborators

7 papers

cs.CV2023

Free Lunch for Gait Recognition: A Novel Relation Descriptor

Jilong Wang, Saihui Hou, Yan Huang +5

Gait recognition is to seek correct matches for query individuals by their unique walking patterns. However, current methods focus solely on extracting individual-specific features…

cs.CV2023★ 52 cited

Efficient Token-Guided Image-Text Retrieval with Consistent Multimodal Contrastive Training

Chong Liu, Yuqi Zhang, Hongsong Wang +5

Image-text retrieval is a central problem for understanding the semantic relationship between vision and language, and serves as the basis for various visual and language tasks. Mo…

cs.CV2022★ 1 cited

CNTN: Cyclic Noise-tolerant Network for Gait Recognition

Weichen Yu, Hongyuan Yu, Yan Huang +2

Gait recognition aims to identify individuals by recognizing their walking patterns. However, an observation is made that most of the previous gait recognition methods degenerate s…

cs.CV2022★ 16 cited

Generalized Inter-class Loss for Gait Recognition

Weichen Yu, Hongyuan Yu, Yan Huang +1

Gait recognition is a unique biometric technique that can be performed at a long distance non-cooperatively and has broad applications in public safety and intelligent traffic syst…

cs.LG2022★ 68 cited

Regularized Graph Structure Learning with Semantic Knowledge for Multi-variates Time-Series Forecasting

Hongyuan Yu, Ting Li, Weichen Yu +4

Multivariate time-series forecasting is a critical task for many applications, and graph time-series network is widely studied due to its capability to capture the spatial-temporal…

cs.CV2020★ 4 cited

Duality-Gated Mutual Condition Network for RGBT Tracking

Andong Lu, Cun Qian, Chenglong Li +2

Low-quality modalities contain not only a lot of noisy information but also some discriminative features in RGBT tracking. However, the potentials of low-quality modalities are not…

cs.CV2019★ 3 cited

An End-to-end Video Text Detector with Online Tracking

Hongyuan Yu, Chengquan Zhang, Xuan Li +3

Video text detection is considered as one of the most difficult tasks in document analysis due to the following two challenges: 1) the difficulties caused by video scenes, i.e., mo…