Shanshan Zhang

Shanshan Zhang is an academic affiliated with the School of Computer Science and Engineering at Nanjing University of Science and Technology. Previously, she held positions at the Max Planck Institute for Informatics (2015-2016) and completed her PhD at the University of Bonn in 2015.

Her research focuses on computer vision, particularly pedestrian detection, object detection, and domain adaptation. She has contributed to datasets like CityPersons and pioneered methods for occluded pedestrian detection, crowd counting, and cross-domain learning. Her work emphasizes practical applications in urban traffic scenes and adaptive systems for diverse environments.

Key research areas include:

• Deep learning architectures for vision tasks
• Occlusion handling in re-identification systems
• Domain adaptation for robust object detection
• Feature alignment techniques
• Adaptive learning for cross-domain scenarios

Publications span top venues like CVPR, ECCV, and IEEE TPAMI, reflecting contributions to both theoretical advances and real-world system development.