Research Results

International conferences

1. 1. Vu, Thang, Haeyong Kang, and Chang D. Yoo. "Scnet: Training inference sample consistency for instance segmentation." Proceedings of the AAAI Conference on Artificial Intelligence. Vol. 35. No. 3. 2021.

   2. Ryu, Hobin, et al. "Semantic grouping network for video captioning." Proceedings of the AAAI Conference on Artificial Intelligence. Vol. 35. No. 3. 2021.

   3. Kang, Haeyong, Thang Vu, and Chang D. Yoo. "Learning imbalanced datasets with maximum margin loss." 2021 IEEE International Conference on Image Processing (ICIP). IEEE, 2021.

   4. Kim, Junyeong, et al. "Structured co-reference graph attention for video-grounded dialogue." Proceedings of the AAAI Conference on Artificial Intelligence. Vol. 35. No. 2. 2021.

   5. Seonwoo, Yeon, et al. "Weakly Supervised Pre-Training for Multi-Hop Retriever." arXiv preprint arXiv:2106.09983 (2021).

   6. Kim, Jiho, Sangha Nam, and Key-Sun Choi. "Universal Schemas Using Shortest Dependency Paths for Free Word Order Languages." ISWC (P&D/Industry/BlueSky). 2018.

   7. Son, Sanghyun, and Kyoung Mu Lee. "SRWarp: Generalized image super-resolution under arbitrary transformation." Proceedings of the IEEE/CVF conference on computer vision and pattern recognition. 2021.

   8. Choi, Hongsuk, et al. "Beyond static features for temporally consistent 3d human pose and shape from a video." Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. 2021.

   9. Fellbaum, Christiane, et al. "Proceedings of the Tenth Global Wordnet Conference." (2019).

   10. Park, Jaeyoo, Junha Kim, and Bohyung Han. "Learning to Adapt to Unseen Abnormal Activities Under Weak Supervision." Proceedings of the Asian Conference on Computer Vision. 2020.

   11. Kim, Seohyun, Jaeyoo Park, and Bohyung Han. "Rotation-invariant local-to-global representation learning for 3d point cloud." Advances in Neural Information Processing Systems33 (2020): 8174-8185.

   12. Hwang, Jaedong, et al. "Weakly supervised instance segmentation by deep community learning." Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision. 2021.

   13. Hwang, Jaedong, et al. "Exemplar-based open-set panoptic segmentation network." Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. 2021.

   14. Lee, Seungmin, Dongwan Kim, and Bohyung Han. "Cosmo: Content-style modulation for image retrieval with text feedback." Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. 2021.

   15. Park, Jaeyoo, Minsoo Kang, and Bohyung Han. "Class-incremental learning for action recognition in videos." Proceedings of the IEEE/CVF International Conference on Computer Vision. 2021.

   16. Kim, Dahun, et al. "Video panoptic segmentation." Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. 2020.

   17. Zhang, Chaoning, et al. "Understanding adversarial examples from the mutual influence of images and perturbations." Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. 2020.

   18. Shim, Gyumin, Jinsun Park, and In So Kweon. "Robust reference-based super-resolution with similarity-aware deformable convolution." Proceedings of the IEEE/CVF conference on computer vision and pattern recognition. 2020.

   19. Kim, Dong-Jin, et al. "Detecting human-object interactions with action co-occurrence priors." European Conference on Computer Vision. Springer, Cham, 2020.

   20. Mun, Jonghwan, Minsu Cho, and Bohyung Han. "Local-global video-text interactions for temporal grounding." Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. 2020.

   21. Seo, Seonguk, Joon-Young Lee, and Bohyung Han. "Urvos: Unified referring video object segmentation network with a large-scale benchmark." European Conference on Computer Vision. Springer, Cham, 2020.

   22. You, Tackgeun, and Bohyung Han. "Traffic accident benchmark for causality recognition." European Conference on Computer Vision. Springer, Cham, 2020

   23. Baik, Sungyong, Seokil Hong, and Kyoung Mu Lee. "Learning to forget for meta-learning." Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. 2020.

   24. Choi, Myungsub, et al. "Scene-adaptive video frame interpolation via meta-learning." Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. 2020.

   25. Moon, Gyeongsik, Takaaki Shiratori, and Kyoung Mu Lee. "Deephandmesh: A weakly-supervised deep encoder-decoder framework for high-fidelity hand mesh modeling." European Conference on Computer Vision. Springer, Cham, 2020.

   26. Moon, Gyeongsik, et al. "Interhand2. 6m: A dataset and baseline for 3d interacting hand pose estimation from a single rgb image." European Conference on Computer Vision. Springer, Cham, 2020.

   27. Moon, Gyeongsik, and Kyoung Mu Lee. "I2l-meshnet: Image-to-lixel prediction network for accurate 3d human pose and mesh estimation from a single rgb image." European Conference on Computer Vision. Springer, Cham, 2020.

   28. Choi, Hongsuk, Gyeongsik Moon, and Kyoung Mu Lee. "Pose2mesh: Graph convolutional network for 3d human pose and mesh recovery from a 2d human pose." European Conference on Computer Vision. Springer, Cham, 2020.

   29. Baik, Sungyong, et al. "Meta-learning with adaptive hyperparameters." Advances in Neural Information Processing Systems 33 (2020): 20755-20765.

   30. Park, Sung Woo, Dong Wook Shu, and Junseok Kwon. "Deep diffusion-invariant wasserstein distributional classification." Advances in Neural Information Processing Systems 33 (2020): 20697-20706.

   31. Ma, Minuk, et al. "Vlanet: Video-language alignment network for weakly-supervised video moment retrieval." European conference on computer vision. Springer, Cham, 2020.

   32. Kim, Junyeong, et al. "Modality shifting attention network for multi-modal video question answering." Proceedings of the IEEE/CVF conference on computer vision and pattern recognition. 2020.

   33. Noh, Youngbin, et al. "Enhancing Quality of Corpus Annotation: Construction of the Multi-Layer Corpus Annotation and Simplified Validation of the Corpus Annotation." Proceedings of the 34th Pacific Asia Conference on Language, Information and Computation. 2020.

   34. Seonwoo, Yeon, et al. "Context-aware answer extraction in question answering." arXiv preprint arXiv:2011.02687 (2020).

   35. Kang, Minsoo, Jonghwan Mun, and Bohyung Han. "Towards oracle knowledge distillation with neural architecture search." Proceedings of the AAAI Conference on Artificial Intelligence. Vol. 34. No. 04. 2020.

   36. Jung, Ilchae, et al. "Real-time object tracking via meta-learning: Efficient model adaptation and one-shot channel pruning." Proceedings of the AAAI Conference on Artificial Intelligence. Vol. 34. No. 07. 2020.

   37. Choi, Myungsub, et al. "Channel attention is all you need for video frame interpolation." Proceedings of the AAAI Conference on Artificial Intelligence. Vol. 34. No. 07. 2020.

   38. Kim, Dong-Jin, et al. "Dense relational captioning: Triple-stream networks for relationship-based captioning." Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. 2019.

   39. Kim, Dong-Jin, et al. "Image captioning with very scarce supervised data: Adversarial semi-supervised learning approach." arXiv preprint arXiv:1909.02201 (2019).

   40. Im, Seohyun. "Semi-automatic Annotation of Event Structure, Argument Structure, and Opposition Structure to WordNet by Using Event Structure Frame." Proceedings of the 10th Global WordNet Conference. 2019.

   41. Park, Sung Woo, and Junseok Kwon. "Sphere generative adversarial network based on geometric moment matching." Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. 2019.

   42. Shu, Dong Wook, Sung Woo Park, and Junseok Kwon. "3d point cloud generative adversarial network based on tree structured graph convolutions." Proceedings of the IEEE/CVF international conference on computer vision. 2019.

   43. Vu, Thang, et al. "Cascade rpn: Delving into high-quality region proposal network with adaptive convolution." Advances in neural information processing systems 32 (2019).

   44. Kang, Haeyong, Gwangsu Kim, and Chang D. Yoo. "Few-Shot Associative Domain Adaptation for Surface Normal Estimation." 2019 IEEE International Conference on Image Processing (ICIP). IEEE, 2019.

   45. Moon, Gyeongsik, Ju Yong Chang, and Kyoung Mu Lee. "Posefix: Model-agnostic general human pose refinement network." Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. 2019.

   46. Suh, Yumin, et al. "Stochastic class-based hard example mining for deep metric learning." Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. 2019.

   47. Moon, Gyeongsik, Ju Yong Chang, and Kyoung Mu Lee. "Camera distance-aware top-down approach for 3d multi-person pose estimation from a single rgb image." Proceedings of the IEEE/CVF international conference on computer vision. 2019.

   48. Choi, Janghoon, Junseok Kwon, and Kyoung Mu Lee. "Deep meta learning for real-time target-aware visual tracking." Proceedings of the IEEE/CVF international conference on computer vision. 2019.

   49. Mun, Jonghwan, et al. "Streamlined dense video captioning." Proceedings of the IEEE/CVF conference on computer vision and pattern recognition. 2019.

   50. Seo, Paul Hongsuck, Geeho Kim, and Bohyung Han. "Combinatorial inference against label noise." Advances in Neural Information Processing Systems 32 (2019).

   51. Seonwoo, Yeon, et al. "Additive compositionality of word vectors." Proceedings of the 5th Workshop on Noisy User-generated Text (W-NUT 2019). 2019.

   52. Kim, Guisik, et al. "Bidirectional Deep Residual learning for Haze Removal." CVPR Workshops. 2019.

   53. Cho, Sungmin, et al. "Multi-Domain Attentive Detection Network." 2019 IEEE International Conference on Image Processing (ICIP). IEEE, 2019.

   54. Jeon, Hae-Gon, et al. "Depth from a light field image with learning-based matching costs." IEEE transactions on pattern analysis and machine intelligence 41.2 (2018): 297-310.

   55. Choi, Jinsoo, Tae-Hyun Oh, and In So Kweon. "Contextually customized video summaries via natural language." 2018 IEEE Winter Conference on Applications of Computer Vision (WACV). IEEE, 2018.

   56. Hwang, Yoonho, et al. "Product quantized translation for fast nearest neighbor search." Proceedings of the AAAI Conference on Artificial Intelligence. Vol. 32. No. 1. 2018.

   57. Choi, Janghoon, Junseok Kwon, and Kyoung Mu Lee. "Real-time visual tracking by deep reinforced decision making." Computer Vision and Image Understanding 171 (2018): 10-19.

   58. Park, Jongchan, et al. "Bam: Bottleneck attention module." arXiv preprint arXiv:1807.06514 (2018).

   59. Kim, Jinhyung, Chanho Lee, and Junmo Kim. "Regularizing Feature Distribution Using Sliced Wasserstein Distance for Semi-supervised Learning." International Conference on Multi-disciplinary Trends in Artificial Intelligence. Springer, Cham, 2018.

   60. Moon, Gyeongsik, Ju Yong Chang, and Kyoung Mu Lee. "V2v-posenet: Voxel-to-voxel prediction network for accurate 3d hand and human pose estimation from a single depth map." Proceedings of the IEEE conference on computer vision and pattern Recognition. 2018.

   61. Lee, Dongwoo, et al. "Joint blind motion deblurring and depth estimation of light field." Proceedings of the European Conference on Computer Vision (ECCV). 2018.

   62. Suh, Yumin, et al. "Part-aligned bilinear representations for person re-identification." Proceedings of the European conference on computer vision (ECCV). 2018.

   63. Nguyen, Phuc, et al. "Weakly supervised action localization by sparse temporal pooling network." Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. 2018.

   64. Jung, Ilchae, et al. "Real-time mdnet." Proceedings of the European conference on computer vision (ECCV). 2018.

   65. Kim, Guisik, Suhyeon Ha, and Junseok Kwon. "Adaptive patch based convolutional neural network for robust dehazing." 2018 25th IEEE International Conference on Image Processing (ICIP). IEEE, 2018.

   66. Kwon, Oh Chul, Junyeong Kim, and Chang D. Yoo. "Action recognition: First-and second-order 3D feature in BI-directional attention network." 2018 25th IEEE International Conference on Image Processing (ICIP). IEEE, 2018.

   67. Noh, Hyeonwoo, et al. "Regularizing deep neural networks by noise: Its interpretation and optimization." Advances in Neural Information Processing Systems 30 (2017).

   68. Jung, Minju, and Junmo Kim. "Selective Filter Transfer." International Conference on Robot Intelligence Technology and Applications. Springer, Cham, 2017.

   69. Seo, Paul Hongsuck, et al. "Visual reference resolution using attention memory for visual dialog." Advances in neural information processing systems 30 (2017).

   70. Seo, Paul Hongsuck, et al. "Progressive attention networks for visual attribute prediction." arXiv preprint arXiv:1606.02393 (2016). 

   71. Junyeong Kim, Minuk Ma, Kyungsu Kim, Sunjin Kim, and Chang D. Yoo, "Gaining Extra Supervision via Multi-task learning for Multi-Modal Video Question Answering", International Joint Conference on Neural Networks, 2019

   72. Jongmin Kim, Taesup Kim, Sungwoong Kim, and Chang D. Yoo "Edge-Labeling Graph Neural Network for Few-shot Learning", Computer Vision and Pattern Recognition, 2019

   73. 
       

1. drama-graph : https://github.com/ihaeyong/drama-graph 

2. knowledge-graph : https://github.com/ihaeyong/drama-graph/tree/sub_master/knowledge_graph

3. script event structure : https://github.com/ihaeyong/drama-graph/tree/sub_master/script_esf 

4. sound event detection : https://github.com/ihaeyong/drama-graph/tree/sub_master/sound_event_detection