Dae Hoe Kim - RankMe

38 papers A* 1B 10Misc 2Journal 7Unranked 18

Year	Rank	Type	Title / Venue / Authors
2025	B	`conf`	Depth-aware Pedestrian Situation Classification for Enhanced Safety Monitoring in Smart Cities. AVSS Dae Hoe Kim, Jinyoung Moon
2025	J	`jnl`	GCAgent: Long-Video Understanding via Schematic and Narrative Episodic Memory. CoRR Jeong Hun Yeo, Sangyun Chung, Sungjune Park, Dae Hoe Kim, Jinyoung Moon, Yong Man Ro
2025	B	`conf`	Proactive Pedestrian Safety System by Fusing Trajectory Prediction With Semantic Ground Region Classification. AVSS Sungchan Oh, Dae Hoe Kim, Je-Seok Ham, Jinyoung Moon
2025	J	`jnl`	WatchoutPed: A dataset and model for Vulnerable Pedestrian Anticipation in surveillance videos. Knowl. Based Syst. Je-Seok Ham, Dae Hoe Kim, Jinyoung Moon
2024	J	`jnl`	AKVSR: Audio Knowledge Empowered Visual Speech Recognition by Compressing Audio Knowledge of a Pretrained Model. IEEE Trans. Multim. Jeong Hun Yeo, Minsu Kim, Jeongsoo Choi, Dae Hoe Kim, Yong Man Ro
2024	B	`conf`	PedRiskNet: Classifying Pedestrian Situations in Surveillance Videos for Pedestrian Safety Monitoring in Smart Cities. AVSS Dae Hoe Kim, Jinyoung Moon
2023	J	`jnl`	AKVSR: Audio Knowledge Empowered Visual Speech Recognition by Compressing Audio Knowledge of a Pretrained Model. CoRR Jeong Hun Yeo, Minsu Kim, Jeongsoo Choi, Dae Hoe Kim, Yong Man Ro
2023	—	`conf`	CIPF: Crossing Intention Prediction Network based on Feature Fusion Modules for Improving Pedestrian Safety. CVPR Workshops Je-Seok Ham, Dae Hoe Kim, NamKyo Jung, Jinyoung Moon
2019	J	`jnl`	Multi-Objective Based Spatio-Temporal Feature Representation Learning Robust to Expression Intensity Variations for Facial Expression Recognition. IEEE Trans. Affect. Comput. Dae Hoe Kim, Wissam J. Baddar, Jinhyeok Jang, Yong Man Ro
2017	Misc	`conf`	Color channel-wise recurrent learning for facial expression recognition. ICASSP Jinhyeok Jang, Dae Hoe Kim, Hyungil Kim, Yong Man Ro
2017	—	`conf`	Learning Features Robust to Image Variations with Siamese Networks for Facial Expression Recognition. MMM (1) Wissam J. Baddar, Dae Hoe Kim, Yong Man Ro
2016	B	`conf`	A deep facial landmarks detection with facial contour and facial components constraint. ICIP Wissam J. Baddar, Jisoo Son, Dae Hoe Kim, Seong-Tae Kim, Yong Man Ro
2016	J	`jnl`	Classifier ensemble generation and selection with multiple feature representations for classification applications in computer-aided detection and diagnosis on mammography. Expert Syst. Appl. Jae Young Choi, Dae Hoe Kim, Konstantinos N. Plataniotis, Yong Man Ro
2016	—	`conf`	Facial dynamic modelling using long short-term memory network: Analysis and application to face authentication. BTAS Seong-Tae Kim, Dae Hoe Kim, Yong Man Ro
2016	Misc	`conf`	Latent feature representation with 3-D multi-view deep convolutional neural network for bilateral analysis in digital breast tomosynthesis. ICASSP Dae Hoe Kim, Seong-Tae Kim, Yong Man Ro
2016	A*	`conf`	Micro-Expression Recognition with Expression-State Constrained Spatio-Temporal Feature Representations. ACM Multimedia Dae Hoe Kim, Wissam J. Baddar, Yong Man Ro
2016	B	`conf`	Spatio-temporal representation for face authentication by using multi-task learning with human attributes. ICIP Seong-Tae Kim, Dae Hoe Kim, Yong Man Ro
2015	—	`conf`	Combination of conspicuity improved synthetic mammograms and digital breast tomosynthesis: a promising approach for mass detection. Computer-Aided Diagnosis Seong Tae Kim, Dae Hoe Kim, Yong Man Ro
2015	B	`conf`	Feature extraction from bilateral dissimilarity in digital breast tomosynthesis reconstructed volume. ICIP Dae Hoe Kim, Seong-Tae Kim, Wissam J. Baddar, Yong Man Ro
2015	—	`conf`	Feature extraction from inter-view similarity of DBT projection views. Computer-Aided Diagnosis Dae Hoe Kim, Seong Tae Kim, Yong Man Ro
2015	B	`conf`	Human action recognition using time-invariant key-trajectories describing spatio-temporal salient motion. ICIP Jeong-Jik Seo, Wissam J. Baddar, Dae Hoe Kim, Yong Man Ro
2015	J	`jnl`	Region based stellate features combined with variable selection using AdaBoost learning in mammographic computer-aided detection. Comput. Biol. Medicine Dae Hoe Kim, Jae Young Choi, Yong Man Ro
2015	B	`conf`	Region matching based on local structure information in ipsilateral digital breast tomosynthesis views. ICIP Seong-Tae Kim, Dae Hoe Kim, Dong Jin Ji, Yong Man Ro
2015	—	`conf`	Utilizing digital breast tomosynthesis projection views correlation for microcalcification enhancement for detection purposes. Computer-Aided Diagnosis Wissam J. Baddar, Eun Joon Kim, Dae Hoe Kim, Yong Man Ro
2014	—	`conf`	Breast tissue removal for enhancing microcalcification cluster detection in mammograms. BHI Wissam J. Baddar, Dae Hoe Kim, Yong Man Ro
2014	—	`conf`	Generation of conspicuity-improved synthetic image from digital breast tomosynthesis. DSP Seong-Tae Kim, Dae Hoe Kim, Yong Man Ro
2014	—	`conf`	Improvement of subtle microcalcifications detection in DBT slices. BHI Eun Joon Kim, Dae Hoe Kim, Eun Suk Cha, Yong Man Ro
2014	—	`conf`	Level-set based free fluid segmentation with improved initialization using region growing in 3D ultrasound sonography. Computer-Aided Diagnosis Dae Hoe Kim, Konstantinos N. Plataniotis, Yong Man Ro
2014	—	`conf`	Mass detection based on pooled mass probability map of 3D reconstructed slices in digital breast tomosynthesis. BHI Seong-Tae Kim, Dae Hoe Kim, Eun Suk Cha, Yong Man Ro
2013	—	`conf`	Boosting framework for mammographic mass classification with combination of CC and MLO view information. Computer-Aided Diagnosis Dae Hoe Kim, Jae Young Choi, Yong Man Ro
2013	—	`conf`	Denoising 3D ultrasound volumes using sparse representation. EMBC Dae Hoe Kim, Konstantinos N. Plataniotis, Yong Man Ro
2013	—	`conf`	Improving positive predictive value in computer-aided diagnosis using mammographic mass and microcalcification confidence score fusion based on co-location information. Computer-Aided Diagnosis Seung Hyun Lee, Dae Hoe Kim, Jae Young Choi, Yong Man Ro
2012	B	`conf`	A novel mammographic mass detection approach to combining suprevised and unsuprevised detection algorithms. ICIP Dae Hoe Kim, Jae Young Choi, Yong Man Ro
2012	—	`conf`	Combining multiple feature representations and AdaBoost ensemble learning for reducing false-positive detections in Computer-aided Detection of masses on mammograms. EMBC Jae Young Choi, Dae Hoe Kim, Konstantinos N. Plataniotis, Yong Man Ro
2012	—	`conf`	Combining multiresolution local binary pattern texture analysis and variable selection strategy applied to computer-aided detection of breast masses on mammograms. BHI Jae Young Choi, Dae Hoe Kim, Yong Man Ro
2012	—	`conf`	Mammographic enhancement with combining local statistical measures and sliding band filter for improved mass segmentation in mammograms. Computer-Aided Diagnosis Dae Hoe Kim, Jae Young Choi, Seon Hyeong Choi, Yong Man Ro
2012	—	`conf`	Multiresolution Local Binary Pattern texture analysis for false positive reduction in computerized detection of breast masses on mammograms. Computer-Aided Diagnosis Jae Young Choi, Dae Hoe Kim, Seon Hyeong Choi, Yong Man Ro
2012	B	`conf`	Region based stellate features for classification of mammographic spiculated lesions in computer-aided detection. ICIP Dae Hoe Kim, Jae Young Choi, Yong Man Ro