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20152026
most citedVisual Saliency Based on Multiscale Deep Features

259 citations · 603 across the 63 of their papers we have counts for

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Showing 2023Show all

18 papers · 1 filter

cs.CV20237 cited

Multi-stream Cell Segmentation with Low-level Cues for Multi-modality Images

Wei Lou, Xinyi Yu, Chenyu Liu +4

Cell segmentation for multi-modal microscopy images remains a challenge due to the complex textures, patterns, and cell shapes in these images. To tackle the problem, we first deve…

cs.CV2023

Semantic-aware Temporal Channel-wise Attention for Cardiac Function Assessment

Guanqi Chen, Guanbin Li

Cardiac function assessment aims at predicting left ventricular ejection fraction (LVEF) given an echocardiogram video, which requests models to focus on the changes in the left ve…

cs.CV20231 cited

ArSDM: Colonoscopy Images Synthesis with Adaptive Refinement Semantic Diffusion Models

Yuhao Du, Yuncheng Jiang, Shuangyi Tan +5

Colonoscopy analysis, particularly automatic polyp segmentation and detection, is essential for assisting clinical diagnosis and treatment. However, as medical image annotation is…

cs.MM20232 cited

WMFormer++: Nested Transformer for Visible Watermark Removal via Implict Joint Learning

Dongjian Huo, Zehong Zhang, Hanjing Su +3

Watermarking serves as a widely adopted approach to safeguard media copyright. In parallel, the research focus has extended to watermark removal techniques, offering an adversarial…

cs.LG20232 cited

Improved Distribution Matching for Dataset Condensation

Ganlong Zhao, Guanbin Li, Yipeng Qin +1

Dataset Condensation aims to condense a large dataset into a smaller one while maintaining its ability to train a well-performing model, thus reducing the storage cost and training…

cs.CV20233 cited

SkeletonMAE: Graph-based Masked Autoencoder for Skeleton Sequence Pre-training

Hong Yan, Yang Liu, Yushen Wei +3

Skeleton sequence representation learning has shown great advantages for action recognition due to its promising ability to model human joints and topology. However, the current me…