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Bin Sheng

7 accepted papers

2024

Context-Aware Transformer for Single Image Rain Streaks Removal

ICASSP 2024accepted

Deep learning based image deraining has been widely researched. However, rain streaks are hard to differentiate with similar textures of background without context knowledge. In this paper, a novel Context-Aware Transformer (CAT) is proposed for single image deraining where both local and global con…

Cited by 0SourceScholar
2024

Text2City: One-Stage Text-Driven Urban Layout Regeneration

AAAI 2024technical

Regenerating urban layout is an essential process for urban regeneration. In this paper, we propose a new task called text-driven urban layout regeneration, which provides an intuitive input modal - text - for users to specify the regeneration, instead of designing complex rules. Given the target re…

2023

AsT: An Asymmetric-Sensitive Transformer for Osteonecrosis of the Femoral Head Detection (Student Abstract)

AAAI 2023technical

Early diagnosis of osteonecrosis of the femoral head (ONFH) can inhibit the progression and improve femoral head preservation. The radiograph difference between early ONFH and healthy ones is not apparent to the naked eye. It is also hard to produce a large dataset to train the classification model.…

Cited by 0SourcePDFScholar
2022

CDX-NET: Cross-Domain Multi-Feature Fusion Modeling Via Deep Neural Networks for Multivariate Time Series Forecasting in AIOps

ICASSP 2022accepted

In the application of Artificial Intelligence for IT Operations (AIOps), monitoring data are usually modeled as MTS (Multivariate Time Series). The prediction of MTS has been widely studied and various models, including statistic algorithms and deep learning networks, have been proposed, which attem…

Cited by 0SourceScholar
2022

Input-Specific Robustness Certification for Randomized Smoothing

AAAI 2022technical

Although randomized smoothing has demonstrated high certified robustness and superior scalability to other certified defenses, the high computational overhead of the robustness certification bottlenecks the practical applicability, as it depends heavily on the large sample approximation for estimati…

2022

Optimal Transport for Label-Efficient Visible-Infrared Person Re-identification

ECCV 2022poster

"Visible-infrared person re-identification (VI-ReID) has been a key enabler for night intelligent monitoring system. However, the extensive laboring efforts significantly limit its applications. In this paper, we raise a new label-efficient training pipeline for VI-ReID. Our observation is: RGB ReID…

2015

Deep Colorization

ICCV 2015poster

This paper investigates into the colorization problem which converts a grayscale image to a colorful version. This is a very difficult problem and normally requires manual adjustment to achieve artifact-free quality. For instance, it normally requires human-labelled color scribbles on the grayscale…

Cited by 821PDFScholar