Bingfeng Liu — accepted AI-conference papers

2026

MoTRa: Motion-Aware Target Representation Learning for End-to-End Multi-Object Tracking

Yuanzhou Huang, Songwei Pei, Shuhuai Wang, Bingfeng Liu, Qian Li, Shangguang Wang

IJCAI 2026

Multi-object tracking (MOT) has long faced challenges with identity switches, especially for targets with low appearance discriminability and complex motion. Existing end-to-end trackers typically enhance robustness by modeling long-term temporal information across target-level representations, yet

Cited by 0 Scholar ↗

2026

PDAR-RSITR: A Progressive Decoupling-Aggregation-Refinement Framework for Remote Sensing Image-Text Retrieval

Shuhuai Wang, Songwei Pei, Bingfeng Liu, Duo Chai, Yuanzhou Huang, Jia Liu +2

IJCAI 2026

Remote Sensing Image-Text Retrieval (RSITR) aims to achieve precise retrieval between remote sensing images and textual descriptions. However, existing methods neglect the multi-dimensional cognitive attributes inherent in remote sensing data and struggle to handle them simultaneously, leading to su

Cited by 0 Scholar ↗