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ZhengXian Wu

4 accepted papers

2026

BeDKD: Backdoor Defense Based on Directional Mapping Module and Adversarial Knowledge Distillation

AAAI 2026technical

Although existing backdoor defenses have gained success in mitigating backdoor attacks, they still face substantial challenges. In particular, most of them rely on large amounts of clean data to weaken the backdoor mapping but generally struggle with residual trigger effects, resulting in persistent

Cited by 0SourcePDFScholar
2026

Language-Guided and Motion-Aware Gait Representation for Generalizable Recognition

AAAI 2026technical

Gait recognition is emerging as a promising technology and an innovative field within computer vision, with a wide range of applications in remote human identification. However, existing methods typically rely on complex architectures to directly extract features from images and apply pooling operat

Cited by 0SourcePDFScholar
2026

UniPR: Unified Object-level Real-to-Sim Perception and Reconstruction from a Single Stereo Pair

CVPR 2026

Perceiving and reconstructing objects from images are critical for real-to-sim transfer tasks, which are widely used in the robotics community.Existing methods rely on multiple submodules such as detection, segmentation, shape reconstruction, and pose estimation to complete the pipeline.However, suc

Cited by 0SourceScholar