activity
20202023
most citedMulti-task Paired Masking with Alignment Modeling for Medical Vision-Language Pre-training

48 citations · 90 across the 8 of their papers we have counts for

collaborators

8 papers

cs.CV2023★ 1 cited

Infrastructure Crack Segmentation: Boundary Guidance Method and Benchmark Dataset

Zhili He, Wang Chen, Jian Zhang +1

Cracks provide an essential indicator of infrastructure performance degradation, and achieving high-precision pixel-level crack segmentation is an issue of concern. Unlike the comm…

cs.CV2023★ 48 cited

Multi-task Paired Masking with Alignment Modeling for Medical Vision-Language Pre-training

Ke Zhang, Yan Yang, Jun Yu +4

In recent years, the growing demand for medical imaging diagnosis has placed a significant burden on radiologists. As a solution, Medical Vision-Language Pre-training (Med-VLP) met…

cs.CV2023★ 33 cited

T2I-Adapter: Learning Adapters to Dig out More Controllable Ability for Text-to-Image Diffusion Models

Chong Mou, Xintao Wang, Liangbin Xie +5

The incredible generative ability of large-scale text-to-image (T2I) models has demonstrated strong power of learning complex structures and meaningful semantics. However, relying…

cs.CV2023★ 3 cited

A Unified Continual Learning Framework with General Parameter-Efficient Tuning

Qiankun Gao, Chen Zhao, Yifan Sun +4

The "pre-training downstream adaptation" presents both new opportunities and challenges for Continual Learning (CL). Although the recent state-of-the-art in CL is ach…

eess.IV2023★ 1 cited

Diffusion Denoising for Low-Dose-CT Model

Runyi Li

Low-dose Computed Tomography (LDCT) reconstruction is an important task in medical image analysis. Recent years have seen many deep learning based methods, proved to be effective i…

cs.CV2022

Horizontal and Vertical Attention in Transformers

Litao Yu, Jian Zhang

Transformers are built upon multi-head scaled dot-product attention and positional encoding, which aim to learn the feature representations and token dependencies. In this work, we…

cs.CV2022

Spatial-temporal Analysis for Automated Concrete Workability Estimation

Litao Yu, Jian Zhang, Mohammed Bennamoun +3

Concrete workability measure is mostly determined based on subjective assessment of a certified assessor with visual inspections. The potential human error in measuring the workabi…

cond-mat.str-el2020★ 4 cited

Magnetic Order Driven Ultrafast Phase Transition in NdNiO

V. Stoica, D. Puggioni, J. Zhang +12

Ultrashort x-ray pulses can be used to disentangle magnetic and structural dynamics and are accordingly utilized here to study the photoexcitation of NdNiO (NNO), a model nicke…