Artificial Intelligence Machine Learning Lab.
CAUSALSENSE coming soon!
established under the guidance of Professor Chang D. Yoo at KAIST.
Artificial Intelligence Machine Learning Lab.
CAUSALSENSE coming soon!
established under the guidance of Professor Chang D. Yoo at KAIST.
(formerly Statistical Learning for Signal Processing Lab.) Artificial Intelligence & Machine Learning Lab. was established under the guidance of Professor Chang D. Yoo at KAIST. Using various machine learning theories and novel signal processing techniques, signals such as image, text, speech, audio, video, EEG and financial data are processed for longstanding and emerging applications.
VIEW MORE →
1. FRAG: Frequency Adpating Group for Diffusion Video Editing Sunjae Yoon, Gwanhyeong Koo, Geonwoo Kim, Chang D. Yoo, International Conference on Machine Learning (ICML), 2024. 2. Cross-view Masked Diffusion Transformers for Person Image Synthesis Trung X. Pham*, Zhang Kang*, Chang D. Yoo, International Conference on Machine Learning (ICML), 2024. Thank you everyone for your hard work, congratulations!
Link →
In this spring semester of 2024, AIM lab has 1 new master students. Welcome to our AIM lab!!
Link →
1. C-TPT: Calibrated Test-Time Prompt Tuning for Vision-Language Models via Text Feature Dispersion Hee Suk Yoon*, Eunseop Yoon*, Joshua Tian Jin Tee, Mark Hasegawa-Johnson, Yingzhen Li, Chang D. Yoo, International Conference on Learning Representations (ICLR) 2024. 2. Progressive Fourier Neural Representation for Sequential Video Compilation Haeyong Kang, Jaehong Yoon, DaHyun Kim, Sung Ju Hwang, Chang D. Yoo, International Conference on Learning Representations (ICLR) 2024. 3. Querying Easily Flip-flopped Samples for Deep Active Learning Seong Jin Cho, Gwangsu Kim, Junghyun Lee, Jinwoo Shin, Chang D. Yoo, International Conference on Learning Representations (ICLR) 2024.
Link →
1. Gwanhyeong Koo, Sunjae Yoon, Chang Dong Yoo, 'Wavelet-Guided Acceleration of Text Inversion in Diffusion-Based Image Editing', ICASSP 2024 2. SooHwan Eom, Eunseop Yoon, Hee Suk Yoon, Chanwoo Kim, Mark Hasegawa-Johnson, Chang D. Yoo, 'ADAMER-CTC: CONNECTIONIST TEMPORAL CLASSIFICATION WITH ADAPTIVE MAXIMUM ENTROPY REGULARIZATION FOR AUTOMATIC SPEECH RECOGNITION', ICASSP 2024 3. Heting Gao, Mark Hasegawa-Johnson, Chang D. Yoo, 'G2PU: Grapheme-to-Phoneme Transducer with Speech Units', ICASSP 2024 4. Liming Wang, Mark Hasegawa-Johnson, Chang Yoo, 'UNSUPERVISED SPEECH RECOGNITION WITH N-SKIPGRAM AND POSITIONAL UNIGRAM MATCHING', ICASSP 2024
Link →
Hyun Ryu, Sunjae Yoon, Hee Suk Yoon, Eunseop Yoon, Chang D. Yoo, 'SimPSI: A Simple Strategy to Preserve Spectral Information in Time Series Data Augmentation', AAAI Conference on Artificial Intelligence (AAAI), 2024.
Link →
Thang Vu, Kookhoi Kim, Tung M. Luu, Thanh Nguyen, Junyeong Kim, Chang D. Yoo, "Scalable SoftGroup for 3D Instance Segmentation on Point Clouds", IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) 2023.
Link →
Sunjae Yoon, Dahyun Kim, Eunseop Yoon, Hee Suk Yoon, Junyeong Kim, and Change D. Yoo., "HEAR: Hearing Enhanced Audio Response for Video-grounded Dialogue" The Conference on Empirical Methods in Natural Language Processing (EMNLP) 2023. (Long Paper, Findings) Gunsoo Han, Daejin Jo, Daniel Wontae Nam, Eunseop Yoon, Taehwan Kwon, Seungeun Rho, Kyoung-Woon On, Chang D. Yoo, Sungwoong Kim., "Efficient Latent Variable Modeling for Knowledge-Grounded Dialogue Generation" The Conference on Empirical Methods in Natural Language Processing (EMNLP) 2023. (Long Paper, Findings)
Link →
Sunjae Yoon, Gwanhyeong Koo, Dahyun Kim, Chang D. Yoo.,"SCANet: Scene Complexity Aware Network for Weakly-supervised Video Moment Retrieval", International Conference on Computer Vision (ICCV) 2023.
Link →2024 AI Conference Papers : 8 papers (ICLR 3, ICASSP 4, AAAI 1)
2023 AI Conference Papers : 12 papers (ICLR 2, ICASSP 1, ACL 4, INTERSPEECH 1, ICCV 1, IROS 1, EMNLP 2)
VIEW MORE →
