activity
20222024
most citedDynamic Patch-aware Enrichment Transformer for Occluded Person Re-Identification

3 citations · 6 across the 8 of their papers we have counts for

collaborators

8 papers

cs.CV2024

MTFusion: Reconstructing Any 3D Object from Single Image Using Multi-word Textual Inversion

Yu Liu, Ruowei Wang, Jiaqi Li +2

Reconstructing 3D models from single-view images is a long-standing problem in computer vision. The latest advances for single-image 3D reconstruction extract a textual description…

cs.CV20241 cited

Low-Light Object Tracking: A Benchmark

Pengzhi Zhong, Xiaoyu Guo, Defeng Huang +4

In recent years, the field of visual tracking has made significant progress with the application of large-scale training datasets. These datasets have supported the development of…

cs.CV2024

Hierarchical Generative Network for Face Morphing Attacks

Zuyuan He, Zongyong Deng, Qiaoyun He +1

Face morphing attacks circumvent face recognition systems (FRSs) by creating a morphed image that contains multiple identities. However, existing face morphing attack methods eithe…

cs.CV20243 cited

Dynamic Patch-aware Enrichment Transformer for Occluded Person Re-Identification

Xin Zhang, Keren Fu, Qijun Zhao

Person re-identification (re-ID) continues to pose a significant challenge, particularly in scenarios involving occlusions. Prior approaches aimed at tackling occlusions have predo…

cs.CV2024

Optimal-Landmark-Guided Image Blending for Face Morphing Attacks

Qiaoyun He, Zongyong Deng, Zuyuan He +1

In this paper, we propose a novel approach for conducting face morphing attacks, which utilizes optimal-landmark-guided image blending. Current face morphing attacks can be categor…

cs.CV2023

3D Semantic Subspace Traverser: Empowering 3D Generative Model with Shape Editing Capability

Ruowei Wang, Yu Liu, Pei Su +2

Shape generation is the practice of producing 3D shapes as various representations for 3D content creation. Previous studies on 3D shape generation have focused on shape quality an…