5 papers
Heterogeneous Vision-Language Ensemble with Disagreement-Aware Reranking for Text-Based Person Anomaly Retrieval
Huu-An Vu, Cam Tu Tran Thi, Thanh Toan Le Ngo +5
Text-based person anomaly retrieval aims to retrieve pedestrians exhibiting anomalous behaviors from a large image gallery using natural language descriptions. Compared with conven…
GeoRoute: Geometry-Aware Hybrid Inference for Traffic Future-Frame Prediction
Khang Minh Le, Hieu Dinh Trung Pham, Luu Thanh Danh +8
Long-horizon future-frame prediction is important for autonomous driving, traffic surveillance, and intelligent transportation systems, yet remains challenging due to temporal ghos…
FaLCon: Facet-Anchored Retrieval with Late Consensus for Sim2Real Text-Based Person Anomaly Search
Hieu Dinh Trung Pham, Phuong Huu Vu Tran, Thuan Duc Mai +6
Text-based person anomaly search requires retrieving real-world pedestrian images from detailed natural-language descriptions using models trained primarily on synthetic data. This…
Semise: Semi-supervised learning for severity representation in medical image
Dung T. Tran, Hung Vu, Anh Tran +3
This paper introduces SEMISE, a novel method for representation learning in medical imaging that combines self-supervised and supervised learning. By leveraging both labeled and au…
ConPro: Learning Severity Representation for Medical Images using Contrastive Learning and Preference Optimization
Hong Nguyen, Hoang Nguyen, Melinda Chang +3
Understanding the severity of conditions shown in images in medical diagnosis is crucial, serving as a key guide for clinical assessment, treatment, as well as evaluating longitudi…