Supawit Vatathanavaro

According to our database, Supawit Vatathanavaro authored at least 5 papers between 2020 and 2025.

Collaborative distances:

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

2025

TrafficInternVL: Spatially-Guided Fine-Tuning with Caption Refinement for Fine-Grained Traffic Safety Captioning and Visual Question Answering.

Sasin Phimsiri, Sarut Sunpawatr, Riu Cherdchusakulchai, Pornprom Kiawjak, Teepakorn Tosawadi, Suchat Tungjitnob, Visarut Trairattanapa, Supawit Vatathanavaro, Wasu Kudisthalert, Chaitat Utintu, Worawit Saetan, Nathamon Kongsawat, Phawat Borisuitsawat, Kasisdis Mahakijdechachai, Nitipan Su-Inn, Ek Thamwiwatthana, Vasin Suttichaya

Proceedings of the IEEE/CVF International Conference on Computer Vision, ICCV 2025, 2025

2024

Online Multi-camera People Tracking with Spatial-temporal Mechanism and Anchor-feature Hierarchical Clustering.

Riu Cherdchusakulchai, Sasin Phimsiri, Visarut Trairattanapa, Suchat Tungjitnob, Wasu Kudisthalert, Pornprom Kiawjak, Ek Thamwiwatthana, Phawat Borisuitsawat, Teepakorn Tosawadi, Pakcheera Choppradit, Kasisdis Mahakijdechachai, Supawit Vatathanavaro, Worawit Saetan, Vasin Suttichaya

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Convolutional neural networks based focal loss for class imbalance problem: a case study of canine red blood cells morphology classification.

Kitsuchart Pasupa, Supawit Vatathanavaro, Suchat Tungjitnob

J. Ambient Intell. Humaniz. Comput., 2023

2020

Semi-supervised learning with deep convolutional generative adversarial networks for canine red blood cells morphology classification.

Kitsuchart Pasupa, Suchat Tungjitnob, Supawit Vatathanavaro

Multim. Tools Appl., 2020

Improved Identification of Imbalanced Multiple Annotation Intent Labels with a Hybrid BLSTM and CNN Model and Hybrid Loss Function.

Supawit Vatathanavaro, Kitsuchart Pasupa, Sorratat Sirirattanajakarin, Boontawee Suntisrivaraporn

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Applied Data Science and Demo Track, 2020