activity
20162024
most citedPAMS: Quantized Super-Resolution via Parameterized Max Scale

11 citations · 39 across the 19 of their papers we have counts for

collaborators

19 papers

eess.IV20242 cited

DiffuX2CT: Diffusion Learning to Reconstruct CT Images from Biplanar X-Rays

Xuhui Liu, Zhi Qiao, Runkun Liu +5

Computed tomography (CT) is widely utilized in clinical settings because it delivers detailed 3D images of the human body. However, performing CT scans is not always feasible due t…

cs.CV20241 cited

RSBuilding: Towards General Remote Sensing Image Building Extraction and Change Detection with Foundation Model

Mingze Wang, Lili Su, Cilin Yan +4

The intelligent interpretation of buildings plays a significant role in urban planning and management, macroeconomic analysis, population dynamics, etc. Remote sensing image buildi…

eess.IV20248 cited

Real-time guidewire tracking and segmentation in intraoperative x-ray

Baochang Zhang, Mai Bui, Cheng Wang +3

During endovascular interventions, physicians have to perform accurate and immediate operations based on the available real-time information, such as the shape and position of guid…

cs.LG2024

A General and Efficient Training for Transformer via Token Expansion

Wenxuan Huang, Yunhang Shen, Jiao Xie +5

The remarkable performance of Vision Transformers (ViTs) typically requires an extremely large training cost. Existing methods have attempted to accelerate the training of ViTs, ye…

cs.CV20241 cited

A Channel-ensemble Approach: Unbiased and Low-variance Pseudo-labels is Critical for Semi-supervised Classification

Jiaqi Wu, Junbiao Pang, Baochang Zhang +1

Semi-supervised learning (SSL) is a practical challenge in computer vision. Pseudo-label (PL) methods, e.g., FixMatch and FreeMatch, obtain the State Of The Art (SOTA) performances…

cs.CV2024

Class-Imbalanced Semi-Supervised Learning for Large-Scale Point Cloud Semantic Segmentation via Decoupling Optimization

Mengtian Li, Shaohui Lin, Zihan Wang +3

Semi-supervised learning (SSL), thanks to the significant reduction of data annotation costs, has been an active research topic for large-scale 3D scene understanding. However, the…