collaborators

6 papers

cs.CV2026

A-PAIR: A Benchmark and Identity-Consistent Grounding Framework for Air-Ground Cross-View Referring Person Detection

Zhoupeng Guo, Xinjie Yao, Yunqi Zhu +6

Air-ground cross-view referring person detection is a necessary component in the language-to-perception-to-control chain of collective embodied intelligence, grounding a language c…

cs.CV2026

Socialized Detector Learning: Trajectory-Guided and Reciprocal Distillation for Heterogeneous Object Detectors

Weihao Li, Yunqi Zhu, Zhihe Fan +5

Object detection knowledge is fragmented across independently trained, heterogeneous detectors with complementary category supports. In socialized learning, this knowledge resides…

cs.CV2026

A2DINOv3: Rethinking Multi-Modal Object Detection via Socialized Collaboration

Jiekang Feng, Zhihe Fan, Yunqi Zhu +6

Multi-modal object detection is essential for robust scene understanding in challenging conditions, including low-light and adverse environments. Recent vision foundation models (e…

cs.AI2026

Socialized Division and Collaboration: Rethinking Class-Incremental Learning under Optimization Conflicts

Xinjie Yao, Zhihe Fan, Yunqi Zhu +6

Class-incremental learning is commonly instantiated as a single-model paradigm, where a unified model sequentially adapts to an unbounded stream of sessions. While effective under…

cs.AI2026

Towards a new paradigm of scientific discovery with socialized artificial intelligence

Xinjie Yao, Xingxin Xu, Xiyuan Gao +21

Scientific discovery has advanced through successive transformations in the organization of knowledge. Observation and experimentation established the empirical foundations of scie…

cs.CV2026

Rethinking Air-Ground Collaboration: A Progressive Cross-Task Benchmark and Socialized Learning Framework

Zhoupeng Guo, Yunqi Zhu, Zhihe Fan +6

Air-ground collaborative perception is crucial for robust visual understanding in real-world dynamic environments. However, existing studies typically formulate collaboration as si…