| Sspp-dan: Deep domain adaptation network for face recognition with single sample per person S Hong, W Im, J Ryu, HS Yang 2017 IEEE International Conference on Image Processing (ICIP), 825-829, 2017 | 81 | 2017 |
| Cbvmr: content-based video-music retrieval using soft intra-modal structure constraint S Hong, W Im, HS Yang Proceedings of the 2018 ACM on international conference on multimedia …, 2018 | 46 | 2018 |
| Unsupervised learning of optical flow with deep feature similarity W Im, TK Kim, SE Yoon Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 40 | 2020 |
| D3: recognizing dynamic scenes with deep dual descriptor based on key frames and key segments S Hong, J Ryu, W Im, HS Yang Neurocomputing 273, 611-621, 2018 | 38 | 2018 |
| Image-text multi-modal representation learning by adversarial backpropagation G Park, W Im arXiv preprint arXiv:1612.08354, 2016 | 28 | 2016 |
| Semi-supervised learning of optical flow by flow supervisor W Im, S Lee, SE Yoon European Conference on Computer Vision, 302-318, 2022 | 16 | 2022 |
| Content-based video-music retrieval using soft intra-modal structure constraint S Hong, W Im, HS Yang arXiv preprint arXiv:1704.06761, 2017 | 14 | 2017 |
| Deep learning for content-based, cross-modal retrieval of videos and music S Hong, W Im, HS Yang arXiv preprint arXiv:1704.06761 2, 2017 | 10 | 2017 |
| Combined center dispersion loss function for deep facial expression recognition A Nanda, W Im, KS Choi, HS Yang Pattern Recognition Letters 141, 8-15, 2021 | 8 | 2021 |
| Scale-varying triplet ranking with classification loss for facial age estimation W Im, S Hong, SE Yoon, HS Yang Asian Conference on Computer Vision, 247-259, 2018 | 8 | 2018 |
| Diffusion probabilistic models for scene-scale 3d categorical data J Lee, W Im, S Lee, SE Yoon arXiv preprint arXiv:2301.00527, 2023 | 7 | 2023 |
| In-n-out: Towards good initialization for inpainting and outpainting C Jo, W Im, SE Yoon arXiv preprint arXiv:2106.13953, 2021 | 7 | 2021 |
| Multi-resolution distillation for self-supervised monocular depth estimation S Lee, W Im, SE Yoon Pattern Recognition Letters 176, 215-222, 2023 | 3 | 2023 |
| SemCity: Semantic Scene Generation with Triplane Diffusion J Lee, S Lee, C Jo, W Im, J Seon, SE Yoon Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 1 | 2024 |
| 얼굴과 의복 정보를 활용한 딥러닝 기반 신원인식 홍성은， 임우빈， 박준우， 양현승 대한전자공학회 학술대회, 2204-2207, 2016 | 1 | 2016 |
| Regularizing Dynamic Radiance Fields with Kinematic Fields W Im, G Cha, S Lee, J Lee, J Seon, D Wee, SE Yoon arXiv preprint arXiv:2407.14059, 2024 | | 2024 |
| Fine-grained Background Representation for Weakly Supervised Semantic Segmentation X Yin, W Im, D Min, Y Huo, F Pan, SE Yoon IEEE Transactions on Circuits and Systems for Video Technology, 2024 | | 2024 |
| Extending Segment Anything Model into Auditory and Temporal Dimensions for Audio-Visual Segmentation J Seon, W Im, S Lee, J Lee, SE Yoon arXiv preprint arXiv:2406.06163, 2024 | | 2024 |
| Computer system of unsupervised learning with deep similarity for optical flow estimation and method thereof Y Sung-Eui, IM Woobin, TK Kim US Patent App. 17/538,555, 2022 | | 2022 |
| Two-stream Spatiotemporal Feature for Video QA Task C Song, W Im, S Yoon arXiv preprint arXiv:1907.05006, 2019 | | 2019 |
