activity
20222024
most citedTopicFM: Robust and Interpretable Topic-Assisted Feature Matching

58 citations · 73 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2024

MVS-GS: High-Quality 3D Gaussian Splatting Mapping via Online Multi-View Stereo

Byeonggwon Lee, Junkyu Park, Khang Truong Giang +2

This study addresses the challenge of online 3D model generation for neural rendering using an RGB image stream. Previous research has tackled this issue by incorporating Neural Ra…

cs.CV2024

Learning to Produce Semi-dense Correspondences for Visual Localization

Khang Truong Giang, Soohwan Song, Sungho Jo

This study addresses the challenge of performing visual localization in demanding conditions such as night-time scenarios, adverse weather, and seasonal changes. While many prior s…

cs.CV2023★ 14 cited

TopicFM+: Boosting Accuracy and Efficiency of Topic-Assisted Feature Matching

Khang Truong Giang, Soohwan Song, Sungho Jo

This study tackles the challenge of image matching in difficult scenarios, such as scenes with significant variations or limited texture, with a strong emphasis on computational ef…

cs.CV2022★ 58 cited

TopicFM: Robust and Interpretable Topic-Assisted Feature Matching

Khang Truong Giang, Soohwan Song, Sungho Jo

This study addresses an image-matching problem in challenging cases, such as large scene variations or textureless scenes. To gain robustness to such situations, most previous stud…

cs.CL2022★ 1 cited

Learning Cluster Patterns for Abstractive Summarization

Sung-Guk Jo, Jeong-Jae Kim, Byung-Won On

Nowadays, pre-trained sequence-to-sequence models such as BERTSUM and BART have shown state-of-the-art results in abstractive summarization. In these models, during fine-tuning, th…