Steven Quoc Hung Truong

According to our database, Steven Quoc Hung Truong authored at least 21 papers between 2020 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Logovit: Local-Global Vision Transformer for Object Re-Identification.

Nguyen Phan, Ta Duc Huy, Soan Thi Minh Duong, Nguyen Hoang Tran, Sam Tran, Dao Huu Hung, Chanh D. Tr. Nguyen, Trung H. Bui, Steven Q. H. Truong

Proceedings of the IEEE International Conference on Acoustics, 2023

An efficient approach for real-time abnormal human behavior recognition on surveillance cameras.

Ngoc Hoang Nguyen, Nhat Nguyen Xuan, Trung H. Bui, Dao Huu Hung, Steven Q. H. Truong, Vu Hoang

Proceedings of the 17th IEEE International Conference on Automatic Face and Gesture Recognition, 2023

Revisiting Reverse Distillation for Anomaly Detection.

Tran Dinh Tien, Anh Tuan Nguyen, Nguyen Hoang Tran, Ta Duc Huy, Soan Thi Minh Duong, Chanh D. Tr. Nguyen, Steven Q. H. Truong

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Benchmarking saliency methods for chest X-ray interpretation.

Adriel Saporta, Xiaotong Gui, Ashwin Agrawal, Anuj Pareek, Steven Q. H. Truong, Chanh D. T. Nguyen, Van Doan Ngo, Jayne Seekins, Francis G. Blankenberg, Andrew Y. Ng, Matthew P. Lungren, Pranav Rajpurkar

Nat. Mac. Intell., October, 2022

An Unsupervised Learning Approach to 3D Rectal MRI Volume Registration.

Chi-Jui (Jerry) Ho, Soan Thi Minh Duong, Yiqian Wang, Chanh D. Tr. Nguyen, Bieu Q. Bui, Steven Q. H. Truong, Truong Q. Nguyen, Cheolhong An

IEEE Access, 2022

ViHealthBERT: Pre-trained Language Models for Vietnamese in Health Text Mining.

Nguyen Phuc Minh, Tran Hoang Vu, Vu Hoang, Ta Duc Huy, Trung Huu Bui, Steven Quoc Hung Truong

Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2022

Segtransvae: Hybrid Cnn - Transformer with Regularization for Medical Image Segmentation.

Quan-Dung Pham, Hai Nguyen-Truong, Nam Nguyen Phuong, N. A. Khoa Nguyen, Chanh D. T. Nguyen, Trung H. Bui, Steven Q. H. Truong

Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

An Efficient Approach for Tuberculosis Diagnosis on Chest X-Ray.

Hoang Nguyen Ngoc, Vu Hoang, Trung H. Bui, Steven Q. H. Truong, Thanh Huynh Minh, Duong Nguyen Van, Trang Nguyen Thi Minh, Cong Cung Van

Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

CapNeXt: Unifying Capsule And Resnext For Medical Image Segmentation.

Thanh M. Huynh, Chanh D. T. Nguyen, Khoa N. A. Nguyen, Trung H. Bui, Steven Q. H. Truong

Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

Adversarial Contrastive Fourier Domain Adaptation for Polyp Segmentation.

Ta Duc Huy, Hoang Cao Huyen, Chanh D. T. Nguyen, Soan Thi Minh Duong, Trung H. Bui, Steven Q. H. Truong

Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

Adaptive Proxy Anchor Loss for Deep Metric Learning.

Nguyen Phan, Sen Tran, Ta Duc Huy, Soan Thi Minh Duong, Chanh D. Tr. Nguyen, Trung H. Bui, Steven Q. H. Truong

Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

Improving Local Features with Relevant Spatial Information by Vision Transformer for Crowd Counting.

Nguyen Hoang Tran, Ta Duc Huy, Soan Thi Minh Duong, Nguyen Phan, Dao Huu Hung, Chanh D. Tr. Nguyen, Trung H. Bui, Steven Quoc Hung Truong

Proceedings of the 33rd British Machine Vision Conference 2022, 2022

Dual consistency assisted multi-confident learning for the hepatic vessel segmentation using noisy labels.

Nam Nguyen Phuong, Tuan Van Vo, Soan Thi Minh Duong, Chanh D. Tr. Nguyen, Trung H. Bui, Steven Quoc Hung Truong

Proceedings of the 33rd British Machine Vision Conference 2022, 2022

2021

RadGraph: Extracting Clinical Entities and Relations from Radiology Reports.

Saahil Jain, Ashwin Agrawal, Adriel Saporta, Steven Q. H. Truong, Du Nguyen Duong, Tan Bui, Pierre J. Chambon, Yuhao Zhang, Matthew P. Lungren, Andrew Y. Ng, Curtis P. Langlotz, Pranav Rajpurkar

Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

GOAL: Gist-set Online Active Learning for Efficient Chest X-ray Image Annotation.

Chanh Nguyen, Minh-Thanh Huynh, Minh Quan Tran, Ngoc Hoang Nguyen, Mudit Jain, Van Doan Ngo, Tan Duc Vo, Trung H. Bui, Steven Quoc Hung Truong

Proceedings of the Medical Imaging with Deep Learning, 7-9 July 2021, Lübeck, Germany., 2021

XPGAN: X-Ray Projected Generative Adversarial Network For Improving Covid-19 Image Classification.

Tran Minh Quan, Huynh Minh Thanh, Ta Duc Huy, Nguyen Do Trung Chanh, Nguyen Thi Phuong Anh, Phan Hoan Vu, Nguyen Hoang Nam, Tran Quy Tuong, Vu Minh Dien, Bui Van Giang, Bui Huu Trung, Steven Quoc Hung Truong

Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

ViMQ: A Vietnamese Medical Question Dataset for Healthcare Dialogue System Development.

Ta Duc Huy, Nguyen Anh Tu, Tran Hoang Vu, Nguyen Phuc Minh, Nguyen Phan, Trung H. Bui, Steven Q. H. Truong

Proceedings of the Neural Information Processing - 28th International Conference, 2021

ReSORT: an ID-recovery multi-face tracking method for surveillance cameras.

Tan M. Tran, Nguyen Hoang Tran, Soan Thi Minh Duong, Huy D. Ta, Chanh D. Tr. Nguyen, Trung H. Bui, Steven Q. H. Truong

Proceedings of the 16th IEEE International Conference on Automatic Face and Gesture Recognition, 2021

VisualCheXbert: addressing the discrepancy between radiology report labels and image labels.

Saahil Jain, Akshay Smit, Steven Q. H. Truong, Chanh D. T. Nguyen, Minh-Thanh Huynh, Mudit Jain, Victoria A. Young, Andrew Y. Ng, Matthew P. Lungren, Pranav Rajpurkar

Proceedings of the ACM CHIL '21: ACM Conference on Health, 2021

Diffeomorphism Matching for Fast Unsupervised Pretraining on Radiographs.

Huynh Minh Thanh, Chanh D. Tr. Nguyen, Ta Duc Huy, Hoang Cao Huyen, Trung H. Bui, Steven Quoc Hung Truong

Proceedings of the 32nd British Machine Vision Conference 2021, 2021

2020

CheXphoto: 10, 000+ Photos and Transformations of Chest X-rays for Benchmarking Deep Learning Robustness.

Nick A. Phillips, Pranav Rajpurkar, Mark Sabini, Rayan Krishnan, Sharon Zhou, Anuj Pareek, Nguyet Minh Phu, Chris Wang, Mudit Jain, Du Nguyen Duong, Steven Q. H. Truong, Andrew Y. Ng, Matthew P. Lungren

Proceedings of the Machine Learning for Health Workshop, 2020