activity
20172023
most citedRegularized Graph Structure Learning with Semantic Knowledge for Multi-variates Time-Series Forecasting

68 citations · 179 across the 18 of their papers we have counts for

collaborators
Showing cs.CVShow all

19 papers · 1 filter

cs.CV2023

Illumination Distillation Framework for Nighttime Person Re-Identification and A New Benchmark

Andong Lu, Zhang Zhang, Yan Huang +4

Nighttime person Re-ID (person re-identification in the nighttime) is a very important and challenging task for visual surveillance but it has not been thoroughly investigated. Und…

cs.CV202338 cited

End-to-end Alternating Optimization for Real-World Blind Super Resolution

Zhengxiong Luo, Yan Huang, Shang Li +2

Blind Super-Resolution (SR) usually involves two sub-problems: 1) estimating the degradation of the given low-resolution (LR) image; 2) super-resolving the LR image to its high-res…

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

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.CV2023

ETPNav: Evolving Topological Planning for Vision-Language Navigation in Continuous Environments

Dong An, Hanqing Wang, Wenguan Wang +4

Vision-language navigation is a task that requires an agent to follow instructions to navigate in environments. It becomes increasingly crucial in the field of embodied AI, with po…

cs.CV2023

VideoFusion: Decomposed Diffusion Models for High-Quality Video Generation

Zhengxiong Luo, Dayou Chen, Yingya Zhang +6

A diffusion probabilistic model (DPM), which constructs a forward diffusion process by gradually adding noise to data points and learns the reverse denoising process to generate ne…