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Lingyan Ran

2 accepted papers

2026

Better Matching, Less Forgetting: A Quality-Guided Matcher for Transformer-based Incremental Object Detection

AAAI 2026technical

Incremental Object Detection (IOD) aims to continuously learn new object classes without forgetting previously learned ones. A persistent challenge is catastrophic forgetting, primarily attributed to background shift in conventional detectors. While pseudo-labeling mitigates this in dense detectors,

Cited by 0SourcePDFScholar
2024

Cross-Platform Video Person ReID: A New Benchmark Dataset and Adaptation Approach

ECCV 2024poster

"In this paper, we construct a large-scale benchmark dataset for Ground-to-Aerial Video-based person Re-Identification, named G2A-VReID, which comprises 185,907 images and 5,576 tracklets, featuring 2,788 distinct identities. To our knowledge, this is the first dataset for video ReID under Ground-to…