Seongwon Cho - RankMe

29 papers C 1Misc 1Journal 16Unranked 10

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	SCALE: Self-uncertainty Conditioned Adaptive Looking and Execution for Vision-Language-Action Models. CoRR Hyeonbeom Choi, Daechul Ahn, Youhan Lee, Taewook Kang, Seongwon Cho, Jonghyun Choi
2025	J	`jnl`	BINDER: Instantly Adaptive Mobile Manipulation with Open-Vocabulary Commands. CoRR Seongwon Cho, Daechul Ahn, Donghyun Shin, Hyeonbeom Choi, San Kim, Jonghyun Choi
2025	J	`jnl`	GenOL: Generating Diverse Examples for Name-only Online Learning. Trans. Mach. Learn. Res. Minhyuk Seo, Seongwon Cho, Minjae Lee, Diganta Misra, Hyeonbeom Choi, Seon Joo Kim, Jonghyun Choi
2025	J	`jnl`	TTA-DAME: Test-Time Adaptation with Domain Augmentation and Model Ensemble for Dynamic Driving Conditions. CoRR Dongjae Jeon, Taeheon Kim, Seongwon Cho, Minhyuk Seo, Jonghyun Choi
2025	J	`jnl`	What Happens When: Learning Temporal Orders of Events in Videos. CoRR Daechul Ahn, Yura Choi, Hyeonbeom Choi, Seongwon Cho, San Kim, Jonghyun Choi
2024	J	`jnl`	Just Say the Name: Online Continual Learning with Category Names Only via Data Generation. CoRR Minhyuk Seo, Diganta Misra, Seongwon Cho, Minjae Lee, Jonghyun Choi
2019	Misc	`conf`	Data-driven Texture Modeling and Rendering on Electrovibration Display. ISS Seongwon Cho, Reza Haghighi Osgouei, Jin Ryong Kim, Seungmoon Choi
2018	—	`conf`	Data-Driven Multi-modal Haptic Rendering Combining Force, Tactile, and Thermal Feedback. AsiaHaptics Seongwon Cho, Hyejin Choi, Sunghwan Shin, Seungmoon Choi
2018	—	`conf`	Data-driven thermal rendering: An initial study. HAPTICS Hyejin Choi, Seongwon Cho, Sunghwan Shin, Hojin Lee, Seungmoon Choi
2017	—	`conf`	Haptic texture rendering using random fractal surface. URAI Seongwon Cho, Sunghwan Shin, Seungmoon Choi
2008	—	`conf`	Class discriminating features-based SVM for face membership authentication. MFI Sanghoon Kim, Sun-Tae Chung, Seongwon Cho
2007	—	`ch.`	Self-organizing Fuzzy Controller Based on Fuzzy Neural Network. Analysis and Design of Intelligent Systems using Soft Computing Techniques Seongwon Cho, Jaemin Kim, Sun-Tae Chung
2006	—	`conf`	Dynamic Competitive Learning. ISNN (1) Seongwon Cho, Jaemin Kim, Sun-Tae Chung
2006	—	`conf`	Hyperbolic Quotient Feature Map for Competitive Learning Neural Networks. ISNN (1) Jinwuk Seok, Seongwon Cho, Jaemin Kim
2006	—	`conf`	Iris Recognition Using LVQ Neural Network. ISNN (2) Seongwon Cho, Jaemin Kim
2006	—	`conf`	Iris Recognition Using a Low Level of Details. ISVC (2) Jaemin Kim, Seongwon Cho, Daewhan Kim, Sun-Tae Chung
2006	C	`conf`	Motion Detection in Complex and Dynamic Backgrounds. PSIVT Daeyong Park, Junbeom Kim, Jaemin Kim, Seongwon Cho, Sun-Tae Chung
2004	J	`jnl`	Fuzzy Power Factor Control Systems. Int. J. Fuzzy Log. Intell. Syst. Seongwon Cho, Jaemin Kim, Jae-Yoon Jung, Cheol-Su Lim
2004	J	`jnl`	Iris Recognition Based on a Shift-Invariant Wavelet Transform. Int. J. Fuzzy Log. Intell. Syst. Seongwon Cho, Jaemin Kim
2004	J	`jnl`	Iris Recognition Using Wavelet Features. J. VLSI Signal Process. Jaemin Kim, Seongwon Cho, Jinsu Choi, Robert J. Marks II
2003	J	`jnl`	Human Iris Recognition using Wavelet Transform and Neural Network. Int. J. Fuzzy Log. Intell. Syst. Seongwon Cho, Jaemin Kim, Jung-Woo Won
2002	J	`jnl`	Iris Segmentation and Recognition. Int. J. Fuzzy Log. Intell. Syst. Jaemin Kim, Seongwon Cho
1998	J	`jnl`	Self-organizing map with time-invariant learning rate and its exponential stability analysis. Neurocomputing Seongwon Cho, Jinwuk Seok
1995	J	`jnl`	Ensemble competitive learning neural networks with reduced input dimension. Int. J. Neural Syst. Jongwan Kim, Jesung Ahn, Seongwon Cho
1995	J	`jnl`	Fast competitive learning with classified learning rates for vector quantization. Signal Process. Image Commun. Chang Wook Kim, Seongwon Cho, Choong Woong Lee
1995	—	`conf`	New invariant pattern recognition system based on preprocessing and reduced second-order neural network. ICNN Bongkyu Lee, Yookun Cho, Seongwon Cho
1995	J	`jnl`	Translation, scale and rotation invariant pattern recognition using Principal Component Analysis (PCA) and reduced second-order neural network. Neural Parallel Sci. Comput. Bongkyu Lee, Yookun Cho, Seongwon Cho
1994	J	`jnl`	Competitive learning neural network with dynamic output neuron generation. Neural Parallel Sci. Comput. Jongwan Kim, Jesung Ahn, Chong-Sang Kim, Heeyeung Hwang, Seongwon Cho
1994	—	`conf`	Multiple neural networks using the reduced input dimension. ICASSP (2) Jongwan Kim, Jesung Ahn, Chong-Sang Kim, Heeyeung Hwang, Seongwon Cho