1 citations · 5 across the 12 of their papers we have counts for
9 papers · 1 filter
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…
Phys4DGen: Physics-Compliant 4D Generation with Multi-Material Composition Perception
Jiajing Lin, Zhenzhong Wang, Dejun Xu +3
4D content generation aims to create dynamically evolving 3D content that responds to specific input objects such as images or 3D representations. Current approaches typically inco…
Cross-Modality Attack Boosted by Gradient-Evolutionary Multiform Optimization
Yunpeng Gong, Qingyuan Zeng, Dejun Xu +2
In recent years, despite significant advancements in adversarial attack research, the security challenges in cross-modal scenarios, such as the transferability of adversarial attac…
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…
Cross-Task Attack: A Self-Supervision Generative Framework Based on Attention Shift
Qingyuan Zeng, Yunpeng Gong, Min Jiang
Studying adversarial attacks on artificial intelligence (AI) systems helps discover model shortcomings, enabling the construction of a more robust system. Most existing adversarial…
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…
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…
Exploring Color Invariance through Image-Level Ensemble Learning
Yunpeng Gong, Jiaquan Li, Lifei Chen +1
In the field of computer vision, the persistent presence of color bias, resulting from fluctuations in real-world lighting and camera conditions, presents a substantial challenge t…
Cross-Modality Perturbation Synergy Attack for Person Re-identification
Yunpeng Gong, Zhun Zhong, Yansong Qu +3
In recent years, there has been significant research focusing on addressing security concerns in single-modal person re-identification (ReID) systems that are based on RGB images.…