Browse "School of Electrical Engineering(전기및전자공학부)" by Author Vu, Thang
Showing results 1 to 15 of 15
| Delving into High-Quality Region Proposal Network with Adaptive Convolution Vu, Thang; Jang, Hyunjun; PHAM, XUAN TRUNG; Yoo, Chang-Dong, Thirty-third Conference on Neural Information Processing Systems, Neural Information Processing Systems Foundation, 2019-12-11 |
| DimCL: Dimensional Contrastive Learning for Improving Self-Supervised Learning Nguyen, Thanh; Pham, Trung Xuan; Zhang, Chaoning; Luu, Tung M.; Vu, Thang; Yoo, Chang-Dong, IEEE ACCESS, v.11, pp.21534 - 21545, 2023 |
| End-to-End residual learning for instance segmentation = 객체 분할을 위한 엔드 투 엔드 레지듀얼 러닝link Vu, Thang; Yoo, Chang Dong; et al, 한국과학기술원, 2019 |
| Fast and efficient image quality enhancement via desubpixel convolutional neural networks Vu, Thang; Nguyen, Cao V; Pham, Trung X; Luu, Tung M; Yoo, Chang-Dong, 15th European Conference on Computer Vision, ECCV 2018, pp.243 - 259, Springer Verlag, 2018-09 |
| From unimodal to multimodal learning with adaptive alignment for 2D-3D visual recognition = 2D-3D 시각 인식을 위한 적응적 정렬을 활용한 유니모달부터 멀티모달 학습 기법 연구link Vu, Thang; Yoo, Chang Dong; et al, 한국과학기술원, 2023 |
| Improved Stacked Attention Network for Visual Question Answering Vu, Thang; 유창동, 2019 한국인공지능학회 추계학술대회, 한국인공지능학회, 2019-11-15 |
| Learning Imbalanced Datasets With Maximum Margin Loss Kang, Haeyong; Vu, Thang; Yoo, Chang-Dong, 2021 IEEE International Conference on Image Processing, ICIP 2021, pp.1269 - 1273, IEEE, 2021-09-19 |
| Perception-enhanced image super-resolution via relativistic generative adversarial networks Vu, Thang; Luu, Tung M; Yoo, Chang-Dong, 15th European Conference on Computer Vision, ECCV 2018, pp.98 - 113, Springer Verlag, 2019-09 |
| Sample-efficient Reinforcement Learning Representation Learning with Curiosity Contrastive Forward Dynamics Model Nguyen, Thanh; Luu, Tung M.; Vu, Thang; Yoo, Chang-Dong, 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2021, pp.3471 - 3477, IEEE, 2021-09-27 |
| SCNet: Training Inference Sample Consistency for Instance Segmentation Vu, Thang; Kang, Haeyong; Yoo, Chang D., 35th AAAI Conference on Artificial Intelligence / 33rd Conference on Innovative Applications of Artificial Intelligence / 11th Symposium on Educational Advances in Artificial Intelligence, pp.2701 - 2709, ASSOC ADVANCEMENT ARTIFICIAL INTELLIGENCE, 2021-02 |
| SoftGroup for 3D Instance Segmentation on Point Clouds Vu, Thang; Kim, Kookhoi; Luu, Tung M.; Nguyen, Thanh; Yoo, Chang-Dong, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), IEEE, 2022-06 |
| Sphererpn: Learning Spheres For High-Quality Region Proposals On 3d Point Clouds Object Detection Vu, Thang; Kim, Kookhoi; Kang, Haeyong; Nguyen, Xuan Thanh; Luu, Tung M.; Yoo, Chang-Dong, IEEE International Conference on Image Processing (ICIP), pp.3173 - 3177, IEEE, 2021-09-19 |
| Utilizing Skipped Frames in Action Repeats for Improving Sample Efficiency in Reinforcement Learning Luu, Tung M.; Nguyen, Thanh; Vu, Thang; Yoo, Chang-Dong, IEEE ACCESS, v.10, pp.64965 - 64975, 2022 |
| Visual Pretraining via Contrastive Predictive Model for Pixel-Based Reinforcement Learning Luu, Tung M.; Vu, Thang; Nguyen, Thanh; Yoo, Chang D., SENSORS, v.22, no.17, 2022-09 |
| 이미지의 객체 감지 및 분류 방법 및 시스템 유창동; Vu, Thang; PHAM, XUAN TRUNG; 장현준 |
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