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U-AIM_SW_STARLab

๐Ÿ”ฅ SW Development of Causal AI through Video Understanding and Reinforcement Learning, and Its Applications to Real Environments

Table of Contents

๐Ÿ“ข ์ตœ์šฐ์ˆ˜ ๋…ผ๋ฌธ ์‹ค์ 

1. Fast and Efficient MMD-based Fair PCA via Optimization over Stiefel Manifold
Junghyun Lee, Gwangsu Kim, Matt Olfat, Mark Hasegawa-Johnson, Chang D. Yoo. in AAAI Conference on Artificial Intelligence (AAAI) 2022.
arXiv github Star

2. SoftGroup for 3D Instance Segmentation on Point Clouds
Thang Vu, Kookhoi Kim, Tung Luu, Thanh Nguyen, Chang D. Yoo., Computer Vision and Pattern Recognition (CVPR) 2022, [Oral presentation (top 4%)]
arXiv github Star

3. Information-Theoretic Text Hallucination Reduction for Video-grounded Dialogue
Sunjae Yoon, Eunseop Yoon, Hee Suk Yoon, Junyeong Kim and Chang D. Yoo, The Conference on Empirical Methods in Natural Language Processing (EMNLP) 2022. (Long Paper)
arXiv

๐Ÿ“ ์šฐ์ˆ˜ ๋…ผ๋ฌธ ์‹ค์ 

1. Dual Temperature Helps Contrastive Learning Without Many Negative Samples: Towards Understanding and Simplifying MoCo
Chaoning Zhang*, Kang Zhang*, Trung Pham*, Axi Niu, Zhinan Qiao, Chang D. Yoo, In So Kweon. Computer Vision and Pattern Recognition (CVPR) 2022
arXiv github Star

2. Selective Query-guided Debiasing for Video Corpus Moment Retrieval
Sunjae Yoon, Ji Woo Hong, Eunseop Yoon, DaHyun Kim, Junyeong Kim, Hee Suk Yoon, Chang D. Yoo., European Conference on Computer Vision (ECCV) 2022
arXiv github Star

3. Mitigating the Exposure Bias in Sentence-Level Grapheme-to-Phoneme (G2P) Transduction
Eunseop Yoon*, Hee Suk Yoon*, Dhananjaya Gowda, SooHwan Eom, Daehyeok Kim, John Harvill, Heting Gao, Mark Hasegawa-Johnson, Chanwoo Kim, Chang D. Yoo, INTERSPEECH 2023
arXiv github (Comming soon!)

4. SCANet: Scene Complexity Aware Network for Weakly-supervised Video Moment Retrieval
Sunjae Yoon, Gwanhyeong Koo, Dahyun Kim, Chang D. Yoo., International Conference on Computer Vision (ICCV) 2023
arXiv github (Comming soon!)

๐Ÿ‹๏ธโ€๏ธ SCIE ์ €๋„ ์‹ค์ 

1. Utilizing Skipped Frames in Action Repeats for Improving Sample Efficiency in Reinforcement Learning
Tung Luu, Thanh Nguyen, Thang Vu and Chang D. Yoo., IEEE Access 2022
[Paper]

2. Dual-scale Doppler Attention for Human Identification
Sunjae Yoon, Dahyun Kim, Ji Woo Hong, Junyeong Kim, Chang D. Yoo, Sensors 2022
[Paper] github Star

3. Cascaded MPN: Cascaded Moment Proposal Network for Video Corpus Moment Retrieval
Sunjae Yoon, Dahyun Kim, Junyeong Kim and Chang D. Yoo., IEEE Access 2022
[Paper]

4. LAD: A Hybrid Deep Learning System for Benign Paroxysmal Positional Vertigo Disorders Diagnostic
Trung Xuan Pham, Jin Woong Choi, Rusty John Lloyd Mina, Thanh Nguyen, Sultan Rizky Madjid, and Chang D. Yoo, IEEE Access 2022
arXiv github Star

5. Survival Analysis of COVID-19 Patients With Symptoms Information by Machine Learning Algorithms
Gwangsu Kim, Chang D. Yoo, Seong J. Yang., IEEE Access 2022
[Paper] [Dataset]

6. DimCL: Dimensional Contrastive Learning For Improving Self-Supervised Learning
Thanh Nguyen*, Trung Pham*, Chaoning Zhang, Tung Luu, Thang Vu, Chang D. Yoo., IEEE Access 2023
[Paper]

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