Tai Sing Lee - RankMe

56 papers A* 10A 1Journal 32Unranked 13

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Modeling Rapid Contextual Learning in the Visual Cortex with Fast-Weight Deep Autoencoder Networks. AAAI Yue Li, Weifan Wang, Tai Sing Lee
2025	J	`jnl`	From Local Cues to Global Percepts: Emergent Gestalt Organization in Self-Supervised Vision Models. CoRR Tianqin Li, Ziqi Wen, Leiran Song, Jun Liu, Zhi Jing, Tai Sing Lee
2025	J	`jnl`	Learning More by Seeing Less: Line Drawing Pretraining for Efficient, Transferable, and Human-Aligned Vision. CoRR Tianqin Li, George Liu, Tai Sing Lee
2025	J	`jnl`	Manifold transform by recurrent cortical circuit enhances robust encoding of familiar stimuli. PLoS Comput. Biol. Weifan Wang, Xueyan Niu, Liyuan Liang, Tai Sing Lee
2025	J	`jnl`	Modeling Rapid Contextual Learning in the Visual Cortex with Fast-Weight Deep Autoencoder Networks. CoRR Yue Li, Weifan Wang, Tai Sing Lee
2025	A*	`conf`	Perceptual Inductive Bias Is What You Need Before Contrastive Learning. CVPR Junru Zhao, Tianqin Li, Dunhan Jiang, Shenghao Wu, Alan Ramirez, Tai Sing Lee
2025	J	`jnl`	Perceptual Inductive Bias Is What You Need Before Contrastive Learning. CoRR Tianqin Li, Junru Zhao, Dunhan Jiang, Shenghao Wu, Alan Ramirez, Tai Sing Lee
2025	A*	`conf`	Self-Attention-Based Contextual Modulation Improves Neural System Identification. ICLR Isaac Lin, Tianye Wang, Shang Gao, Shiming Tang, Tai Sing Lee
2024	J	`jnl`	Incremental Learning and Self-Attention Mechanisms Improve Neural System Identification. CoRR Isaac Lin, Tianye Wang, Shang Gao, Shiming Tang, Tai Sing Lee
2023	J	`jnl`	A large calcium-imaging dataset reveals a systematic V4 organization for natural scenes. CoRR Tianye Wang, Haoxuan Yao, Tai Sing Lee, Jiayi Hong, Yang Li, Hongfei Jiang, Ian Max Andolina, Shiming Tang
2023	J	`jnl`	Does resistance to Style-Transfer equal Shape Bias? Evaluating Shape Bias by Distorted Shape. CoRR Ziqi Wen, Tianqin Li, Tai Sing Lee
2023	A*	`conf`	Emergence of Shape Bias in Convolutional Neural Networks through Activation Sparsity. NeurIPS Tianqin Li, Ziqi Wen, Yangfan Li, Tai Sing Lee
2023	J	`jnl`	Emergence of Shape Bias in Convolutional Neural Networks through Activation Sparsity. CoRR Tianqin Li, Ziqi Wen, Yangfan Li, Tai Sing Lee
2022	A*	`conf`	Prototype memory and attention mechanisms for few shot image generation. ICLR Tianqin Li, Zijie Li, Andrew Luo, Harold Rockwell, Amir Barati Farimani, Tai Sing Lee
2022	J	`jnl`	Relating Human Perception of Musicality to Prediction in a Predictive Coding Model. CoRR Nikolas McNeal, Jennifer Huang, Aniekan Umoren, Shuqi Dai, Roger B. Dannenberg, Richard Randall, Tai Sing Lee
2022	J	`jnl`	SurfGen: Adversarial 3D Shape Synthesis with Explicit Surface Discriminators. CoRR Andrew Luo, Tianqin Li, Wen-Hao Zhang, Tai Sing Lee
2021	J	`jnl`	Complexity and diversity in sparse code priors improve receptive field characterization of Macaque V1 neurons. PLoS Comput. Biol. Ziniu Wu, Harold Rockwell, Yimeng Zhang, Shiming Tang, Tai Sing Lee
2021	J	`jnl`	Recurrent networks improve neural response prediction and provide insights into underlying cortical circuits. CoRR Yimeng Zhang, Harold Rockwell, Sicheng Dai, Ge Huang, Stephen Tsou, Yuanyuan Wei, Tai Sing Lee
2021	A*	`conf`	SurfGen: Adversarial 3D Shape Synthesis with Explicit Surface Discriminators. ICCV Andrew Luo, Tianqin Li, Wen-Hao Zhang, Tai Sing Lee
2019	A*	`conf`	A Normative Theory for Causal Inference and Bayes Factor Computation in Neural Circuits. NeurIPS Wenhao Zhang, Si Wu, Brent Doiron, Tai Sing Lee
2019	J	`jnl`	Convolutional neural network models of V1 responses to complex patterns. J. Comput. Neurosci. Yimeng Zhang, Tai Sing Lee, Ming Li, Fang Liu, Shiming Tang
2019	J	`jnl`	Recurrent Feedback Improves Feedforward Representations in Deep Neural Networks. CoRR Siming Yan, Xuyang Fang, Bowen Xiao, Harold Rockwell, Yimeng Zhang, Tai Sing Lee
2017	—	`conf`	Learning Robust Object Recognition Using Composed Scenes from Generative Models. CRV Hao Wang, Xingyu Lin, Yimeng Zhang, Tai Sing Lee
2017	J	`jnl`	Learning Robust Object Recognition Using Composed Scenes from Generative Models. CoRR Hao Wang, Xingyu Lin, Yimeng Zhang, Tai Sing Lee
2017	—	`conf`	Learning to Associate Words and Images Using a Large-Scale Graph. CRV Heqing Ya, Haonan Sun, Jeffrey Helt, Tai Sing Lee
2017	J	`jnl`	Learning to Associate Words and Images Using a Large-scale Graph. CoRR Heqing Ya, Haonan Sun, Jeffrey Helt, Tai Sing Lee
2017	—	`conf`	Transfer of View-manifold Learning to Similarity Perception of Novel Objects. ICLR (Poster) Xingyu Lin, Hao Wang, Zhihao Li, Yimeng Zhang, Alan L. Yuille, Tai Sing Lee
2017	J	`jnl`	Transfer of View-manifold Learning to Similarity Perception of Novel Objects. CoRR Xingyu Lin, Hao Wang, Zhihao Li, Yimeng Zhang, Alan L. Yuille, Tai Sing Lee
2015	—	`conf`	Predictive Encoding of Contextual Relationships for Perceptual Inference, Interpolation and Prediction. ICLR (Workshop) Mingmin Zhao, Chengxu Zhuang, Yizhou Wang, Tai Sing Lee
2015	J	`jnl`	Stochastic feature mapping for PAC-Bayes classification. Mach. Learn. Xiong Li, Bin Wang, Yuncai Liu, Tai Sing Lee
2014	J	`jnl`	Sample Skewness as a Statistical Measurement of Neuronal Tuning Sharpness. Neural Comput. Jason M. Samonds, Brian Potetz, Tai Sing Lee
2013	—	`conf`	Learning Discriminative Sufficient Statistics Score Space for Classification. ECML/PKDD (3) Xiong Li, Bin Wang, Yuncai Liu, Tai Sing Lee
2012	J	`jnl`	Stochastic Feature Mapping for PAC-Bayes Classification CoRR Xiong Li, Tai Sing Lee, Yuncai Liu
2011	A*	`conf`	Hybrid generative-discriminative classification using posterior divergence. CVPR Xiong Li, Tai Sing Lee, Yuncai Liu
2010	—	`conf`	Accounting for network effects in neuronal responses using L1 regularized point process models. NIPS Ryan C. Kelly, Matthew A. Smith, Robert E. Kass, Tai Sing Lee
2010	J	`jnl`	Local field potentials indicate network state and account for neuronal response variability. J. Comput. Neurosci. Ryan C. Kelly, Matthew A. Smith, Robert E. Kass, Tai Sing Lee
2009	A	`conf`	The Block Diagonal Infinite Hidden Markov Model. AISTATS Thomas S. Stepleton, Zoubin Ghahramani, Geoffrey J. Gordon, Tai Sing Lee
2008	J	`jnl`	Efficient belief propagation for higher-order cliques using linear constraint nodes. Comput. Vis. Image Underst. Brian Potetz, Tai Sing Lee
2006	—	`conf`	Neurophysiological Evidence of Cooperative Mechanisms for Stereo Computation. NIPS Jason M. Samonds, Brian Potetz, Tai Sing Lee
2005	J	`jnl`	Adaptive contrast gain control and information maximization. Neurocomputing Yuguo Yu, Tai Sing Lee
2005	—	`conf`	Scaling Laws in Natural Scenes and the Inference of 3D Shape. NIPS Brian Potetz, Tai Sing Lee
2005	—	`conf`	Using Co-Occurrence and Segmentation to Learn Feature-Based Object Models from Video. WACV/MOTION Thomas S. Stepleton, Tai Sing Lee
2004	J	`jnl`	Decoding visual input from V1 neuronal activity with particle filtering. Neurocomputing Ryan C. Kelly, Tai Sing Lee
2003	J	`jnl`	Adaptation of the temporal receptive fields of macaque V1 neurons. Neurocomputing Richard Romero, Yuguo Yu, Pedram Afshar, Tai Sing Lee
2003	J	`jnl`	Adaptation of the transfer function of the Hodgkin-Huxley (HH) neuronal model. Neurocomputing Yuguo Yu, Tai Sing Lee
2003	—	`conf`	Decoding V1 Neuronal Activity using Particle Filtering with Volterra Kernels. NIPS Ryan C. Kelly, Tai Sing Lee
2002	J	`jnl`	A unified model of spatial and object attention based on inter-cortical biased competition. Neurocomputing Gustavo Deco, Tai Sing Lee
2002	J	`jnl`	Spike train analysis for single trial data. Neurocomputing Richard Romero, Tai Sing Lee
2001	—	`conf`	A Hierarchical Markov Random Field Model for Figure-Ground Segregation. EMMCVPR Stella X. Yu, Tai Sing Lee, Takeo Kanade
2000	J	`jnl`	A Bayesian decision approach to evaluate local and contextual information in spike trains. Neurocomputing Elise Cassidente, Xiaogang Yan, Tai Sing Lee
2000	J	`jnl`	What do V1 neurons tell us about saccadic suppression? Neurocomputing Stella X. Yu, Tai Sing Lee
1999	—	`conf`	An Information-Theoretic Framework for Understanding Saccadic Eye Movements. NIPS Tai Sing Lee, Stella X. Yu
1996	J	`jnl`	Image Representation Using 2D Gabor Wavelets. IEEE Trans. Pattern Anal. Mach. Intell. Tai Sing Lee
1995	A*	`conf`	Region Competition: Unifying Snakes, Region Growing, Energy/Bayes/MDL for Multi-band Image Segmentation. ICCV Song Chun Zhu, Tai Sing Lee, Alan L. Yuille
1994	—	`conf`	Representational Strategy in the Visual Cortex. ICIP (2) Tai Sing Lee
1992	A*	`conf`	Texture Segmentation by Minimizing Vector-Valued Energy Functionals: The Coupled-Membrane Model. ECCV Tai Sing Lee, David Mumford, Alan L. Yuille