Heeseong Shin

According to our database, Heeseong Shin authored at least 16 papers between 2018 and 2026.

Collaborative distances:

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

2026

AgentRVOS: Reasoning over Object Tracks for Zero-Shot Referring Video Object Segmentation.

Woojeong Jin, Jaeho Lee, Heeseong Shin, Seungho Jang, Junhwan Heo, Seungryong Kim

CoRR, March, 2026

2025

Exploring Conditions for Diffusion models in Robotic Control.

Heeseong Shin, Byeongho Heo, Dongyoon Han, Seungryong Kim, Taekyung Kim

CoRR, October, 2025

Seg4Diff: Unveiling Open-Vocabulary Segmentation in Text-to-Image Diffusion Transformers.

Chaehyun Kim, Heeseong Shin, Eunbeen Hong, Heeji Yoon, Anurag Arnab, Paul Hongsuck Seo, Sunghwan Hong, Seungryong Kim

CoRR, September, 2025

Visual Representation Alignment for Multimodal Large Language Models.

Heeji Yoon, Jaewoo Jung, Junwan Kim, Hyungyu Choi, Heeseong Shin, Sangbeom Lim, Honggyu An, Chaehyun Kim, Jisang Han, Donghyun Kim, Chanho Eom, Sunghwan Hong, Seungryong Kim

CoRR, September, 2025

S^4M: Boosting Semi-Supervised Instance Segmentation with SAM.

Heeji Yoon, Heeseong Shin, Eunbeen Hong, Hyunwook Choi, Hansang Cho, Daun Jeong, Seungryong Kim

CoRR, April, 2025

PF3plat: Pose-Free Feed-Forward 3D Gaussian Splatting for Novel View Synthesis.

Sunghwan Hong, Jaewoo Jung, Heeseong Shin, Jisang Han, Jiaolong Yang, Chong Luo, Seungryong Kim

Proceedings of the Forty-second International Conference on Machine Learning, 2025

S⁴M: Boosting Semi-Supervised Instance Segmentation with SAM.

Heeji Yoon, Heeseong Shin, Eunbeen Hong, Hyunwook Choi, Hansang Cho, Daun Jeong, Seungryong Kim

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

2024

PF3plat: Pose-Free Feed-Forward 3D Gaussian Splatting.

Sunghwan Hong, Jaewoo Jung, Heeseong Shin, Jisang Han, Jiaolong Yang, Chong Luo, Seungryong Kim

CoRR, 2024

Towards Open-Vocabulary Semantic Segmentation Without Semantic Labels.

Heeseong Shin, Chaehyun Kim, Sunghwan Hong, Seokju Cho, Anurag Arnab, Paul Hongsuck Seo, Seungryong Kim

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Unifying Correspondence, Pose and NeRF for Generalized Pose-Free Novel View Synthesis.

Sunghwan Hong, Jaewoo Jung, Heeseong Shin, Jiaolong Yang, Seungryong Kim, Chong Luo

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

CAT-Seg: Cost Aggregation for Open-Vocabulary Semantic Segmentation.

Seokju Cho, Heeseong Shin, Sunghwan Hong, Anurag Arnab, Paul Hongsuck Seo, Seungryong Kim

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

2023

Unifying Correspondence, Pose and NeRF for Pose-Free Novel View Synthesis from Stereo Pairs.

Sunghwan Hong, Jaewoo Jung, Heeseong Shin, Jiaolong Yang, Seungryong Kim, Chong Luo

CoRR, 2023

Large Language Models are Frame-level Directors for Zero-shot Text-to-Video Generation.

Susung Hong, Junyoung Seo, Sunghwan Hong, Heeseong Shin, Seungryong Kim

CoRR, 2023

CAT-Seg: Cost Aggregation for Open-Vocabulary Semantic Segmentation.

Seokju Cho, Heeseong Shin, Sunghwan Hong, Seungjun An, Seungjun Lee, Anurag Arnab, Paul Hongsuck Seo, Seungryong Kim

CoRR, 2023

2019

Movie Recommendation based on User Similarity of Consumption Pattern Change.

Minjae Kim, SungHwan Jeon, Heeseong Shin, Wonseok Choi, Haejin Chung, Yunmook Nah

Proceedings of the 2nd IEEE International Conference on Artificial Intelligence and Knowledge Engineering, 2019

2018

MapReduce Tuning to Improve Distributed Machine Learning Performance.

SungHwan Jeon, Haejin Chung, Wonseok Choi, Heeseong Shin, Jonghoon Chun, Jin Taek Kim, Yunmook Nah

Proceedings of the First IEEE International Conference on Artificial Intelligence and Knowledge Engineering, 2018