5 citations · 9 across the 4 of their papers we have counts for
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cs.CV2023★ 2 cited
Occlusion-Aware Detection and Re-ID Calibrated Network for Multi-Object Tracking
Yukun Su, Ruizhou Sun, Xin Shu +2
Multi-Object Tracking (MOT) is a crucial computer vision task that aims to predict the bounding boxes and identities of objects simultaneously. While state-of-the-art methods have…
cs.CV2022★ 5 cited
A Unified Transformer Framework for Group-based Segmentation: Co-Segmentation, Co-Saliency Detection and Video Salient Object Detection
Yukun Su, Jingliang Deng, Ruizhou Sun +2
Humans tend to mine objects by learning from a group of images or several frames of video since we live in a dynamic world. In the computer vision area, many researches focus on co…
cs.CV2021
Context Decoupling Augmentation for Weakly Supervised Semantic Segmentation
Yukun Su, Ruizhou Sun, Guosheng Lin +1
Data augmentation is vital for deep learning neural networks. By providing massive training samples, it helps to improve the generalization ability of the model. Weakly supervised…