Cheston Tan

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 54

Top Topics

Efficient Retrieval

Social Interaction

Analogical Reasoning

Top Venues

Publications

Dylan Hillier, Cheston Tan, Jing Jiang
Social Learning through Interactions with Other Agents: A Survey. CoRR (2024)
Palaash Agrawal, Shavak Vasania, Cheston Tan
Exploring the Limitations of Graph Reasoning in Large Language Models. CoRR (2024)
Bo Ai, Stephen Tian, Haochen Shi, Yixuan Wang, Cheston Tan, Yunzhu Li, Jiajun Wu
RoboPack: Learning Tactile-Informed Dynamics Models for Dense Packing. CoRR (2024)
Dylan Hillier, Leon Guertler, Cheston Tan, Palaash Agrawal, Chen Ruirui, Bobby Cheng
Super Tiny Language Models. CoRR (2024)
Aishik Nagar, Shantanu Jaiswal, Cheston Tan
Dissecting Zero-Shot Visual Reasoning Capabilities in Vision and Language Models. Tiny Papers @ ICLR (2024)
Hei Yi Mak, Flint Xiaofeng Fan, Luca A. Lanzendörfer, Cheston Tan, Wei Tsang Ooi, Roger Wattenhofer
CAESAR: Enhancing Federated RL in Heterogeneous MDPs through Convergence-Aware Sampling with Screening. CoRR (2024)
Zijun Lin, Haidi Azaman, M. Ganesh Kumar, Cheston Tan
Compositional Learning of Visually-Grounded Concepts Using Reinforcement. CoRR (2023)
Jiafei Duan, Samson Yu, Nicholas Tan, Yi Ru Wang, Cheston Tan
Read My Mind: A Multi-Modal Dataset for Human Belief Prediction. CoRR (2023)
Clarence Lee, M. Ganesh Kumar, Cheston Tan
DetermiNet: A Large-Scale Diagnostic Dataset for Complex Visually-Grounded Referencing using Determiners. ICCV (2023)
Ishaan Singh Rawal, Shantanu Jaiswal, Basura Fernando, Cheston Tan
Revealing the Illusion of Joint Multimodal Understanding in VideoQA Models. CoRR (2023)
Jenny Zhang, Samson Yu, Jiafei Duan, Cheston Tan
Robustness of Utilizing Feedback in Embodied Visual Navigation. CoRR (2023)
Clarence Lee, M. Ganesh Kumar, Cheston Tan
DetermiNet: A Large-Scale Diagnostic Dataset for Complex Visually-Grounded Referencing using Determiners. CoRR (2023)
Arijit Dasgupta, Jiafei Duan, Yi Lin, Su-Hua Wang, Renée Baillargeon, Cheston Tan
A Benchmark for Modeling Violation-of-Expectation in Physical Reasoning Across Event Categories. CogSci (2023)
Flint Xiaofeng Fan, Yining Ma, Zhongxiang Dai, Cheston Tan, Bryan Kian Hsiang Low
FedHQL: Federated Heterogeneous Q-Learning. AAMAS (2023)
Palaash Agrawal, Cheston Tan, Heena Rathore
Advancing Perception in Artificial Intelligence through Principles of Cognitive Science. CoRR (2023)
Palaash Agrawal, Haidi Azaman, Cheston Tan
STUPD: A Synthetic Dataset for Spatial and Temporal Relation Reasoning. CoRR (2023)
Flint Xiaofeng Fan, Yining Ma, Zhongxiang Dai, Cheston Tan, Bryan Kian Hsiang Low, Roger Wattenhofer
FedHQL: Federated Heterogeneous Q-Learning. CoRR (2023)
Clement Tan, Chai Kiat Yeo, Cheston Tan, Basura Fernando
Abductive Action Inference. CoRR (2022)
Shantanu Jaiswal, Basura Fernando, Cheston Tan
TDAM: Top-Down Attention Module for Contextually Guided Feature Selection in CNNs. ECCV (25) (2022)
Jieyi Ye, Jiafei Duan, Samson Yu, Bihan Wen, Cheston Tan
ABCDE: An Agent-Based Cognitive Development Environment. CoRR (2022)
Jenny Zhang, Samson Yu, Jiafei Duan, Cheston Tan
Good Time to Ask: A Learning Framework for Asking for Help in Embodied Visual Navigation. CoRR (2022)
Jiafei Duan, Samson Yu, Hui Li Tan, Hongyuan Zhu, Cheston Tan
A Survey of Embodied AI: From Simulators to Research Tasks. IEEE Trans. Emerg. Top. Comput. Intell. 6 (2) (2022)
Jiafei Duan, Samson Yu, Soujanya Poria, Bihan Wen, Cheston Tan
PIP: Physical Interaction Prediction via Mental Simulation with Span Selection. ECCV (35) (2022)
Jiafei Duan, Arijit Dasgupta, Jason Fischer, Cheston Tan
A Survey on Machine Learning Approaches for Modelling Intuitive Physics. CoRR (2022)
Clement Tan, Chai Kiat Yeo, Cheston Tan, Basura Fernando
Self-Supervised Superpixel Correspondences For Video Object Segmentation. VSIP (2022)
Jiafei Duan, Arijit Dasgupta, Jason Fischer, Cheston Tan
A Survey on Machine Learning Approaches for Modelling Intuitive Physics. IJCAI (2022)
Jiafei Duan, Samson Yu, Nicholas Tan, Li Yi, Cheston Tan
BOSS: A Benchmark for Human Belief Prediction in Object-context Scenarios. CoRR (2022)
Shantanu Jaiswal, Basura Fernando, Cheston Tan
TDAN: Top-Down Attention Networks for Enhanced Feature Selectivity in CNNs. CoRR (2021)
Jiafei Duan, Samson Yu, Hui Li Tan, Hongyuan Zhu, Cheston Tan
A Survey of Embodied AI: From Simulators to Research Tasks. CoRR (2021)
Jiafei Duan Nanyang, Samson Yu Bai Jian, Cheston Tan
SPACE: A Simulator for Physical Interactions and Causal Learning in 3D Environments. ICCVW (2021)
M. Ganesh Kumar, Cheston Tan, Camilo Libedinsky, Shih-Cheng Yen, Andrew Yong-Yi Tan
One-shot learning of paired associations by a reservoir computing model with Hebbian plasticity. CoRR (2021)
Hui Li Tan, Hongyuan Zhu, Joo-Hwee Lim, Cheston Tan
A comprehensive survey of procedural video datasets. Comput. Vis. Image Underst. 202 (2021)
M. Ganesh Kumar, Cheston Tan, Camilo Libedinsky, Shih-Cheng Yen, Andrew Yong-Yi Tan
A nonlinear hidden layer enables actor-critic agents to learn multiple paired association navigation. CoRR (2021)
Flint Xiaofeng Fan, Yining Ma, Zhongxiang Dai, Wei Jing, Cheston Tan, Bryan Kian Hsiang Low
Fault-Tolerant Federated Reinforcement Learning with Theoretical Guarantee. CoRR (2021)
Arijit Dasgupta, Jiafei Duan, Marcelo H. Ang Jr., Cheston Tan
AVoE: A Synthetic 3D Dataset on Understanding Violation of Expectation for Artificial Cognition. CoRR (2021)
Flint Xiaofeng Fan, Yining Ma, Zhongxiang Dai, Wei Jing, Cheston Tan, Bryan Kian Hsiang Low
Fault-Tolerant Federated Reinforcement Learning with Theoretical Guarantee. NeurIPS (2021)
Jiafei Duan, Samson Yu, Soujanya Poria, Bihan Wen, Cheston Tan
PIP: Physical Interaction Prediction via Mental Imagery with Span Selection. CoRR (2021)
Ziqi Huang, Hongyuan Zhu, Ying Sun, Dongkyu Choi, Cheston Tan, Joo-Hwee Lim
A Diagnostic Study Of Visual Question Answering With Analogical Reasoning. ICIP (2021)
Jiafei Duan, Samson Yu Bai Jian, Cheston Tan
SPACE: A Simulator for Physical Interactions and Causal Learning in 3D Environments. CoRR (2021)
Arijit Dasgupta, Jiafei Duan, Marcelo H. Ang Jr., Yi Lin, Su-hua Wang, Renée Baillargeon, Cheston Tan
A Benchmark for Modeling Violation-of-Expectation in Physical Reasoning Across Event Categories. CoRR (2021)
Jiafei Duan, Samson Yu, Hui Li Tan, Cheston Tan
Actionet: An Interactive End-To-End Platform For Task-Based Data Collection And Augmentation In 3D Environment. ICIP (2020)
Jiafei Duan, Samson Yu, Hui Li Tan, Cheston Tan
Actionet: An Interactive End-To-End Platform For Task-Based Data Collection And Augmentation In 3D Environment. CoRR (2020)
Yi Cheng, Hongyuan Zhu, Ying Sun, Cihan Acar, Wei Jing, Yan Wu, Liyuan Li, Cheston Tan, Joo-Hwee Lim
6D Pose Estimation with Correlation Fusion. ICPR (2020)
Arushi Goel, Keng Teck Ma, Cheston Tan
An End-To-End Network for Generating Social Relationship Graphs. CVPR (2019)
Tianying Wang, Hao Zhang, Wei Qi Toh, Hongyuan Zhu, Cheston Tan, Yan Wu, Yong Liu, Wei Jing
Efficient Robotic Task Generalization Using Deep Model Fusion Reinforcement Learning. ROBIO (2019)
Tianying Wang, Hao Zhang, Wei Qi Toh, Hongyuan Zhu, Cheston Tan, Yan Wu, Yong Liu, Wei Jing
Efficient Robotic Task Generalization Using Deep Model Fusion Reinforcement Learning. CoRR (2019)
Arushi Goel, Keng Teck Ma, Cheston Tan
An End-to-End Network for Generating Social Relationship Graphs. CoRR (2019)
Yi Cheng, Hongyuan Zhu, Cihan Acar, Wei Jing, Yan Wu, Liyuan Li, Cheston Tan, Joo-Hwee Lim
6D Pose Estimation with Correlation Fusion. CoRR (2019)
Liyuan Li, Qianli Xu, Tian Gan, Cheston Tan, Joo-Hwee Lim
A Probabilistic Model of Social Working Memory for Information Retrieval in Social Interactions. IEEE Trans. Cybern. 48 (5) (2018)
Yuan Fang, Kingsley Kuan, Jie Lin, Cheston Tan, Vijay Chandrasekhar
Object Detection Meets Knowledge Graphs. IJCAI (2017)
Ana Garcia del Molino, Cheston Tan, Joo-Hwee Lim, Ah-Hwee Tan
Summarization of Egocentric Videos: A Comprehensive Survey. IEEE Trans. Hum. Mach. Syst. 47 (1) (2017)
Liyuan Li, Qianli Xu, Vijay Chandrasekhar, Joo-Hwee Lim, Cheston Tan, Michal Mukawa
A Wearable Virtual Usher for Vision-Based Cognitive Indoor Navigation. IEEE Trans. Cybern. 47 (4) (2017)
Yansong Chua, Cheston Tan
Multiple Plasticity Mechanisms Enhance Associative Memory Retrieval in a Spiking Network Model of the Hippocampus. AAAI Spring Symposia (2017)
Michal Mukawa, Cheston Tan, Joo-Hwee Lim, Qianli Xu, Liyuan Li
The effect of different types of navigation assistance on indoor scene memorability. Behav. Inf. Technol. 36 (9) (2017)
Fabio Anselmi, Lorenzo Rosasco, Cheston Tan, Tomaso A. Poggio
Deep Convolutional Networks are Hierarchical Kernel Machines. CoRR (2015)
Qianli Xu, Michal Mukawa, Liyuan Li, Joo-Hwee Lim, Cheston Tan, Shue-Ching Chia, Tian Gan, Bappaditya Mandal
Exploring users' attitudes towards social interaction assistance on Google Glass. AH (2015)
Vijay Chandrasekhar, Cheston Tan, Wu Min, Liyuan Li, Xiaoli Li, Joo-Hwee Lim
Incremental Graph Clustering for Efficient Retrieval from Streaming Egocentric Video Data. ICPR (2014)
Cheston Tan, Tomaso A. Poggio
Neural tuning size is a key factor underlying holistic face processing. CoRR (2014)
Wu Min, Xiao Li, Cheston Tan, Bappaditya Mandal, Liyuan Li, Joo-Hwee Lim
Efficient Retrieval from Large-Scale Egocentric Visual Data Using a Sparse Graph Representation. CVPR Workshops (2014)
Cheston Tan, Hanlin Goh, Vijay Chandrasekhar, Liyuan Li, Joo-Hwee Lim
Understanding the Nature of First-Person Videos: Characterization and Classification Using Low-Level Features. CVPR Workshops (2014)
Bappaditya Mandal, Shue-Ching Chia, Liyuan Li, Vijay Chandrasekhar, Cheston Tan, Joo-Hwee Lim
A Wearable Face Recognition System on Google Glass for Assisting Social Interactions. ACCV Workshops (3) (2014)
Shijian Lu, Cheston Tan, Joo-Hwee Lim
Robust and Efficient Saliency Modeling from Image Co-Occurrence Histograms. IEEE Trans. Pattern Anal. Mach. Intell. 36 (1) (2014)
Sepehr Jalali, Paul J. Seekings, Cheston Tan, Hazel Z. W. Tan, Joo-Hwee Lim, Elizabeth A. Taylor
Classification of marine organisms in underwater images using CQ-HMAX biologically inspired color approach. IJCNN (2013)
Liyuan Li, Gang S. Wang, Weixun Goh, Joo-Hwee Lim, Cheston Tan
A Wearable Cognitive Vision System for Navigation Assistance in Indoor Environment. ICONIP (3) (2013)
Sepehr Jalali, Paul J. Seekings, Cheston Tan, Aiswarya Ratheesh, Joo-Hwee Lim, Elizabeth A. Taylor
The use of optical and sonar images in the human and dolphin brain for image classification. IJCNN (2013)
Sepehr Jalali, Cheston Tan, Joo-Hwee Lim, Jo Yew Tham, Sim Heng Ong, Paul J. Seekings, Elizabeth A. Taylor
Encoding Co-occurrence of Features in the HMAX Model. CogSci (2013)
Cheston Tan, Jedediah M. Singer, Thomas Serre, David Sheinberg, Tomaso A. Poggio
Neural representation of action sequences: how far can a simple snippet-matching model take us? NIPS (2013)
Sepehr Jalali, Cheston Tan, Joo-Hwee Lim, Jo Yew Tham, Sim Heng Ong, Paul J. Seekings, Elizabeth A. Taylor
Visual Recognition using a Combination of Shape and Color Features. CogSci (2013)
Sharat Chikkerur, Thomas Serre, Cheston Tan, Tomaso A. Poggio
Attention as a Bayesian inference process. Human Vision and Electronic Imaging (2011)