- Pre-print
- 1. Robust Sound-Guided Image Manipulation,
- Seunghyun Lee, Chanyoung Kim, Wonmin Byeon, Gyeongrok Oh, Jooyoung Lee, Sang Ho Yoon, Jinkyu Kim*, Sangpil Kim*, (Under Review), 2022, [Paper]
2. SMGNN: Self-Supervised Multimodal Graph Neural Network for Recommender Systems, - Sungjune Kim, Gyusam Chang, Wonseok Roh, Dae-Neung Sohn, Jung-Tae Lee, Hogun Park*, Sangpil Kim*, (Under Review), 2022
3. LISA: Localized Image Stylization with Audio via Implicit Neural Representation - Seunghyun Lee*, Chanyoung Kim*, Wonmin Byeon, Sang Ho Yoon, Jinkyu Kim*, Sangpil Kim*, (Under Review), 2023, [Paper]
4. Bridging the Domain Gap with Images for LiDAR-based 3D Object Detection - Gyusam Chang*, Wonseok Roh*, Sujin Jang, Dongwook Lee, Daehyun Ji, Gyeongrok Oh, Jinkyu Kim*, Sangpil Kim*, (Under Review), 2023
2022- 1. ORA3D: Overlap Region Aware Multi-view 3D Object Detection,
- Wonseok Roh, Gyusam Chang, Seokha Moon, Giljoo Nam, Chanyoung Kim, Younghyun Kim, Jinkyu Kim*, Sangpil Kim*,
- The British Machine Vision Conference (BMVC), 2022, [Project page], [Paper]
2. Sound-Guided Semantic Video Generation,- Seunghyun Lee, Gyeongrok Oh, Wonmin Byeon, Chanyoung Kim, Won Jeong Ryoo, Sang Ho Yoon, Jinkyu Kim*, Sangpil Kim*,
- European Conference on Computer Vision (ECCV), 2022, [Project page] [Paper]
- 3. Sound-Guided Semantic Image Manipulation“,
- Seunghyun Lee, Wonseok Roh, Wonmin Byeon, SangHo Yoon, Chanyoung Kim, Jinkyu Kim*, Sangpil Kim*,
- Computer Vision and Pattern Recognition (CVPR), 2022 [Project page] [Paper] [Code]
2021
1. Sound-Guided Semantic Image Manipulation, - Seunghyun Lee, SangHo Yoon, Jinkyu Kim*, Sangpil Kim*,
- NeurIPS Workshop on CtrlGen: Controllable Generative Modeling in Language and Vision (NeurIPSW), 2021, [Paper]
2. Audio-Guided Image Manipulation for Artistic Paintings, - Seunghyun Lee, Nahyuk Lee, Chanyoung Kim, Wonjeong Ryoo, Jinkyu Kim, SangHo Yoon*, Sangpil Kim*,
- NeurIPS Workshop on ML for Creativity and Design (NeurIPSW), 2021
3. Egocentric View Hand Action Recognition by Leveraging Hand Surface and Hand Grasp Type, - Sangpil Kim, Hyunggun Chi, Sunghee Hong, Byoung Soo Koh, Karthik Ramani, arXiv, 2021, [Paper]
- 2020
- 1. First-Person View Hand Segmentation of Multi-Modal Hand Activity Video Dataset,
- Sangpil Kim, Hyung-gun Chi, Xiao Hu, Anirudh Vegesana, Karthik Ramani,
- British Machine Vision Conference (BMVC), 2020, [Paper]
- 2. Object Synthesis by Learning Part Geometry with Surface and Volumetric Representations,
- Sangpil Kim, Hyung-gun Chi, Karthik Ramani,
- Computer-Aided Design 130, 2020, [Paper]
- 3. A Large-scale Annotated Mechanical Components Benchmark for Classification and Retrieval Tasks with Deep Neural Networks,
- Sangpil Kim, Hyung-gun Chi, Xiao Hu, Qixing Huang, Karthik Ramani,
- European Conference on Computer Vision (ECCV), 2020, [Paper]
- 4. Latent transformations neural network for object view synthesis,
- Sangpil Kim, Winovich Nick, Hyung-gun Chi, Guang Lin, Karthik Ramani,
- Visual Computer 36 1663–1677, 2020, [Paper]
- 2018-2016
- 1. CT-GAN: Conditional Transformation Generative Adversarial Network for Image Attribute Modification,
- Sangpil Kim, Nick Winovich, Guang Lin, Karthik Ramani,
- European Conference on Computer Vision Demo (ECCV), 2018, [Paper]
- 2. Learning hand articulations by hallucinating heat distribution,
- Chiho Choi, Sangpil Kim, Karthik Ramani,
- Proceedings of the IEEE International Conference on Computer Vision (ICCV), 2017, [Paper]
- 3. Enet: A deep neural network architecture for real-time semantic segmentation,
- Adam Paszke, Abhishek Chaurasia, Sangpil Kim, Eugenio Culurciello,
- arXiv (1814 citations), 2016, [Paper]
Computer Vision Lab
Department of Artificial Intelligence, Korea University
603, Woojung Hall of Informatics, Korea University, 145 Anam-ro, Seongbuk-gu, Seoul