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most citedBeyond Dropout: Robust Convolutional Neural Networks Based on Local Feature Masking

1 citations · 2 across the 7 of their papers we have counts for

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cs.CV2025

A Theory-Inspired Framework for Few-Shot Cross-Modal Sketch Person Re-Identification

Yunpeng Gong, Yongjie Hou, Jiangming Shi +2

Sketch based person re-identification aims to match hand-drawn sketches with RGB surveillance images, but remains challenging due to significant modality gaps and limited annotated…

cs.CV2024

NexusSplats: Efficient 3D Gaussian Splatting in the Wild

Yuzhou Tang, Dejun Xu, Yongjie Hou +2

Photorealistic 3D reconstruction of unstructured real-world scenes remains challenging due to complex illumination variations and transient occlusions. Existing methods based on Ne…

cs.CV2024

Phy124: Fast Physics-Driven 4D Content Generation from a Single Image

Jiajing Lin, Zhenzhong Wang, Yongjie Hou +2

4D content generation focuses on creating dynamic 3D objects that change over time. Existing methods primarily rely on pre-trained video diffusion models, utilizing sampling proces…

cs.CV2024★ 1 cited

Beyond Dropout: Robust Convolutional Neural Networks Based on Local Feature Masking

Yunpeng Gong, Chuangliang Zhang, Yongjie Hou +2

In the contemporary of deep learning, where models often grapple with the challenge of simultaneously achieving robustness against adversarial attacks and strong generalization cap…

cs.CV2024★ 1 cited

Beyond Augmentation: Empowering Model Robustness under Extreme Capture Environments

Yunpeng Gong, Yongjie Hou, Chuangliang Zhang +1

Person Re-identification (re-ID) in computer vision aims to recognize and track individuals across different cameras. While previous research has mainly focused on challenges like…