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…
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…
From Pixels to Prompts: Vision-Language Models
Khang Hoang Nhat Vo, Khang Nhat Hoang Vo
When you read a paper about a new Vision-Language Model today, it can be easy to forget how strange this idea would have sounded not so long ago. Teaching machines to see was alrea…
Revolutionizing Precise Low Back Pain Diagnosis via Contrastive Learning
Thanh Binh Le, Hoang Nhat Khang Vo, Tan-Ha Mai +1
Low back pain affects millions worldwide, driving the need for robust diagnostic models that can jointly analyze complex medical images and accompanying text reports. We present Lu…
Towards Cultural Bridge by Bahnaric-Vietnamese Translation Using Transfer Learning of Sequence-To-Sequence Pre-training Language Model
Phan Tran Minh Dat, Dat Minh Tran Phan, Vo Hoang Nhat Khang +3
This work explores the journey towards achieving Bahnaric-Vietnamese translation for the sake of culturally bridging the two ethnic groups in Vietnam. However, translating from Bah…