Cheston Tan

According to our database, Cheston Tan authored at least 87 papers between 2006 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

SPIRAL: Self-Play on Zero-Sum Games Incentivizes Reasoning via Multi-Agent Multi-Turn Reinforcement Learning.

Bo Liu, Leon Guertler, Simon Yu, Zichen Liu, Penghui Qi, Daniel Balcells, Mickel Liu, Cheston Tan, Weiyan Shi, Min Lin, Wee Sun Lee, Natasha Jaques

CoRR, June, 2025

GroundFlow: A Plug-in Module for Temporal Reasoning on 3D Point Cloud Sequential Grounding.

Zijun Lin, Shuting He, Cheston Tan, Bihan Wen

CoRR, June, 2025

The Singapore Consensus on Global AI Safety Research Priorities.

Yoshua Bengio, Tegan Maharaj, Luke Ong, Stuart Russell, Dawn Song, Max Tegmark, Lan Xue, Ya-Qin Zhang, Stephen Casper, Wan Sie Lee, Sören Mindermann, Vanessa Wilfred, Vidhisha Balachandran, Fazl Barez, Michael Belinsky, Imane Bello, Malo Bourgon, Mark Brakel, Siméon Campos, Duncan Cass-Beggs, Jiahao Chen, Rumman Chowdhury, Kuan Chua Seah, Jeff Clune, Juntao Dai, Agnès Delaborde, Nouha Dziri, Francisco Eiras, Joshua Engels, Jinyu Fan, Adam Gleave, Noah Goodman, Fynn Heide, Johannes Heidecke, Dan Hendrycks, Cyrus Hodes, Bryan Low Kian Hsiang, Minlie Huang, Sami Jawhar, Wang Jingyu, Adam Tauman Kalai, Meindert Kamphuis, Mohan S. Kankanhalli, Subhash Kantamneni, Mathias Bonde Kirk, Thomas Kwa, Jeffrey Ladish, Kwok-Yan Lam, Wan Lee Sie, Taewhi Lee, Xiaojian Li, Jiajun Liu, Chaochao Lu, Yifan Mai, Richard Mallah, Julian Michael, Nick Moës, Simon Möller, Kihyuk Nam, Kwan Yee Ng, Mark Nitzberg, Besmira Nushi, Seán Ó hÉigeartaigh, Alejandro Ortega, Pierre Peigné, James Petrie, Benjamin Prud'homme, Reihaneh Rabbany, Nayat Sanchez-Pi, Sarah Schwettmann, Buck Shlegeris, Saad Siddiqui, Aradhana Sinha, Martín Soto, Cheston Tan, Dong Ting, William-Chandra Tjhi, Robert Trager, Brian Tse, Anthony Tung K. H., John Willes, Denise Wong, Wei Xu, Rongwu Xu, Yi Zeng, HongJiang Zhang, Djordje Zikelic

CoRR, June, 2025

How do Transformer Embeddings Represent Compositions? A Functional Analysis.

Aishik Nagar, Ishaan Singh Rawal, Mansi Dhanania, Cheston Tan

CoRR, June, 2025

From Grunts to Grammar: Emergent Language from Cooperative Foraging.

Maytus Piriyajitakonkij, Rujikorn Charakorn, Weicheng Tao, Wei Pan, Mingfei Sun, Cheston Tan, Mengmi Zhang

CoRR, May, 2025

Theory of Mind in Large Language Models: Assessment and Enhancement.

Ruirui Chen, Weifeng Jiang, Chengwei Qin, Cheston Tan

CoRR, May, 2025

Position Paper: Rethinking Privacy in RL for Sequential Decision-making in the Age of LLMs.

Flint Xiaofeng Fan, Cheston Tan, Roger Wattenhofer, Yew-Soon Ong

CoRR, April, 2025

TextArena.

Leon Guertler, Bobby Cheng, Simon Yu, Bo Liu, Leshem Choshen, Cheston Tan

CoRR, April, 2025

Human-like compositional learning of visually-grounded concepts using synthetic environments.

Zijun Lin, M. Ganesh Kumar, Cheston Tan

CoRR, April, 2025

FedHPD: Heterogeneous Federated Reinforcement Learning via Policy Distillation.

Wenzheng Jiang, Ji Wang, Xiongtao Zhang, Weidong Bao, Cheston Tan, Flint Xiaofeng Fan

CoRR, February, 2025

Inferring Past Human Actions in Homes with Abductive Reasoning.

Clement Tan, Chai Kiat Yeo, Cheston Tan, Basura Fernando

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2025

2024

FedRLHF: A Convergence-Guaranteed Federated Framework for Privacy-Preserving and Personalized RLHF.

Flint Xiaofeng Fan, Cheston Tan, Yew-Soon Ong, Roger Wattenhofer, Wei Tsang Ooi

CoRR, 2024

Evaluating the Generation of Spatial Relations in Text and Image Generative Models.

Shang Hong Sim, Clarence Lee, Alvin Tan, Cheston Tan

CoRR, 2024

STLM Engineering Report: Dropout.

Dylan Hillier, Leon Guertler, Bobby Cheng, Cheston Tan

CoRR, 2024

Super Tiny Language Models.

Dylan Hillier, Leon Guertler, Cheston Tan, Palaash Agrawal, Ruirui Chen, Bobby Cheng

CoRR, 2024

CAESAR: Enhancing Federated RL in Heterogeneous MDPs through Convergence-Aware Sampling with Screening.

Hei Yi Mak, Flint Xiaofeng Fan, Luca A. Lanzendörfer, Cheston Tan, Wei Tsang Ooi, Roger Wattenhofer

CoRR, 2024

Exploring the Limitations of Graph Reasoning in Large Language Models.

Palaash Agrawal, Shavak Vasania, Cheston Tan

CoRR, 2024

RoboPack: Learning Tactile-Informed Dynamics Models for Dense Packing.

Bo Ai, Stephen Tian, Haochen Shi, Yixuan Wang, Cheston Tan, Yunzhu Li, Jiajun Wu

Proceedings of the Robotics: Science and Systems XX, 2024

Learning to Reason Iteratively and Parallelly for Complex Visual Reasoning Scenarios.

Shantanu Jaiswal, Debaditya Roy, Basura Fernando, Cheston Tan

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Zero-Shot Visual Reasoning by Vision-Language Models: Benchmarking and Analysis.

Aishik Nagar, Shantanu Jaiswal, Cheston Tan

Proceedings of the International Joint Conference on Neural Networks, 2024

Social Learning through Interactions with Other Agents: A Survey.

Dylan Hillier, Cheston Tan, Jing Jiang

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Can LLMs Perform Structured Graph Reasoning Tasks?

Palaash Agrawal, Shavak Vasania, Cheston Tan

Proceedings of the Pattern Recognition - 27th International Conference, 2024

Dissecting Multimodality in VideoQA Transformer Models by Impairing Modality Fusion.

Ishaan Singh Rawal, Alexander Matyasko, Shantanu Jaiswal, Basura Fernando, Cheston Tan

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Dissecting Zero-Shot Visual Reasoning Capabilities in Vision and Language Models.

Aishik Nagar, Shantanu Jaiswal, Cheston Tan

Proceedings of the Second Tiny Papers Track at ICLR 2024, 2024

LLM-Based Multi-Hop Question Answering with Knowledge Graph Integration in Evolving Environments.

Ruirui Chen, Weifeng Jiang, Chengwei Qin, Ishaan Singh Rawal, Cheston Tan, Dongkyu Choi, Bo Xiong, Bo Ai

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

2023

Advancing Perception in Artificial Intelligence through Principles of Cognitive Science.

Palaash Agrawal, Cheston Tan, Heena Rathore

CoRR, 2023

STUPD: A Synthetic Dataset for Spatial and Temporal Relation Reasoning.

Palaash Agrawal, Haidi Azaman, Cheston Tan

CoRR, 2023

Compositional Learning of Visually-Grounded Concepts Using Reinforcement.

Zijun Lin, Haidi Azaman, M. Ganesh Kumar, Cheston Tan

CoRR, 2023

Revealing the Illusion of Joint Multimodal Understanding in VideoQA Models.

Ishaan Singh Rawal, Shantanu Jaiswal, Basura Fernando, Cheston Tan

CoRR, 2023

Read My Mind: A Multi-Modal Dataset for Human Belief Prediction.

Jiafei Duan, Samson Yu, Nicholas Tan, Yi Ru Wang, Cheston Tan

CoRR, 2023

Robustness of Utilizing Feedback in Embodied Visual Navigation.

Jenny Zhang, Samson Yu, Jiafei Duan, Cheston Tan

CoRR, 2023

FedHQL: Federated Heterogeneous Q-Learning.

Flint Xiaofeng Fan, Yining Ma, Zhongxiang Dai, Cheston Tan, Bryan Kian Hsiang Low, Roger Wattenhofer

CoRR, 2023

DetermiNet: A Large-Scale Diagnostic Dataset for Complex Visually-Grounded Referencing using Determiners.

Clarence Lee, M. Ganesh Kumar, Cheston Tan

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

A Benchmark for Modeling Violation-of-Expectation in Physical Reasoning Across Event Categories.

Arijit Dasgupta, Jiafei Duan, Yi Lin, Su-Hua Wang, Renée Baillargeon, Cheston Tan

Proceedings of the 45th Annual Meeting of the Cognitive Science Society, 2023

FedHQL: Federated Heterogeneous Q-Learning.

Flint Xiaofeng Fan, Yining Ma, Zhongxiang Dai, Cheston Tan, Bryan Kian Hsiang Low

Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

2022

A Survey of Embodied AI: From Simulators to Research Tasks.

Jiafei Duan, Samson Yu, Hui Li Tan, Hongyuan Zhu, Cheston Tan

IEEE Trans. Emerg. Top. Comput. Intell., 2022

Abductive Action Inference.

Clement Tan, Chai Kiat Yeo, Cheston Tan, Basura Fernando

CoRR, 2022

BOSS: A Benchmark for Human Belief Prediction in Object-context Scenarios.

Jiafei Duan, Samson Yu, Nicholas Tan, Li Yi, Cheston Tan

CoRR, 2022

Good Time to Ask: A Learning Framework for Asking for Help in Embodied Visual Navigation.

Jenny Zhang, Samson Yu, Jiafei Duan, Cheston Tan

CoRR, 2022

ABCDE: An Agent-Based Cognitive Development Environment.

Jieyi Ye, Jiafei Duan, Samson Yu, Bihan Wen, Cheston Tan

CoRR, 2022

Self-Supervised Superpixel Correspondences For Video Object Segmentation.

Clement Tan, Chai Kiat Yeo, Cheston Tan, Basura Fernando

Proceedings of the 4th International Conference on Video, Signal and Image Processing, 2022

A Survey on Machine Learning Approaches for Modelling Intuitive Physics.

Jiafei Duan, Arijit Dasgupta, Jason Fischer, Cheston Tan

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

TDAM: Top-Down Attention Module for Contextually Guided Feature Selection in CNNs.

Shantanu Jaiswal, Basura Fernando, Cheston Tan

Proceedings of the Computer Vision - ECCV 2022, 2022

PIP: Physical Interaction Prediction via Mental Simulation with Span Selection.

Jiafei Duan, Samson Yu, Soujanya Poria, Bihan Wen, Cheston Tan

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

A comprehensive survey of procedural video datasets.

Hui Li Tan, Hongyuan Zhu, Joo-Hwee Lim, Cheston Tan

Comput. Vis. Image Underst., 2021

TDAN: Top-Down Attention Networks for Enhanced Feature Selectivity in CNNs.

Shantanu Jaiswal, Basura Fernando, Cheston Tan

CoRR, 2021

A Benchmark for Modeling Violation-of-Expectation in Physical Reasoning Across Event Categories.

Arijit Dasgupta, Jiafei Duan, Marcelo H. Ang Jr., Yi Lin, Su-Hua Wang, Renée Baillargeon, Cheston Tan

CoRR, 2021

AVoE: A Synthetic 3D Dataset on Understanding Violation of Expectation for Artificial Cognition.

Arijit Dasgupta, Jiafei Duan, Marcelo H. Ang Jr., Cheston Tan

CoRR, 2021

PIP: Physical Interaction Prediction via Mental Imagery with Span Selection.

Jiafei Duan, Samson Yu, Soujanya Poria, Bihan Wen, Cheston Tan

CoRR, 2021

A nonlinear hidden layer enables actor-critic agents to learn multiple paired association navigation.

M. Ganesh Kumar, Cheston Tan, Camilo Libedinsky, Shih-Cheng Yen, Andrew Yong-Yi Tan

CoRR, 2021

One-shot learning of paired associations by a reservoir computing model with Hebbian plasticity.

M. Ganesh Kumar, Cheston Tan, Camilo Libedinsky, Shih-Cheng Yen, Andrew Yong-Yi Tan

CoRR, 2021

Fault-Tolerant Federated Reinforcement Learning with Theoretical Guarantee.

Flint Xiaofeng Fan, Yining Ma, Zhongxiang Dai, Wei Jing, Cheston Tan, Bryan Kian Hsiang Low

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

A Diagnostic Study Of Visual Question Answering With Analogical Reasoning.

Ziqi Huang, Hongyuan Zhu, Ying Sun, Dongkyu Choi, Cheston Tan, Joo-Hwee Lim

Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

SPACE: A Simulator for Physical Interactions and Causal Learning in 3D Environments.

Jiafei Duan, Samson Yu Bai Jian, Cheston Tan

Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

2020

Weakly Supervised Gaussian Networks for Action Detection.

Basura Fernando, Cheston Yin Chet Tan, Hakan Bilen

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

6D Pose Estimation with Correlation Fusion.

Yi Cheng, Hongyuan Zhu, Ying Sun, Cihan Acar, Wei Jing, Yan Wu, Liyuan Li, Cheston Tan, Joo-Hwee Lim

Proceedings of the 25th International Conference on Pattern Recognition, 2020

Actionet: An Interactive End-To-End Platform For Task-Based Data Collection And Augmentation In 3D Environment.

Jiafei Duan, Samson Yu, Hui Li Tan, Cheston Tan

Proceedings of the IEEE International Conference on Image Processing, 2020

2019

6D Pose Estimation with Correlation Fusion.

Yi Cheng, Hongyuan Zhu, Cihan Acar, Wei Jing, Yan Wu, Liyuan Li, Cheston Tan, Joo-Hwee Lim

CoRR, 2019

Efficient Robotic Task Generalization Using Deep Model Fusion Reinforcement Learning.

Tianying Wang, Hao Zhang, Wei Qi Toh, Hongyuan Zhu, Cheston Tan, Yan Wu, Yong Liu, Wei Jing

Proceedings of the 2019 IEEE International Conference on Robotics and Biomimetics, 2019

An End-To-End Network for Generating Social Relationship Graphs.

Arushi Goel, Keng Teck Ma, Cheston Tan

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

A Probabilistic Model of Social Working Memory for Information Retrieval in Social Interactions.

Liyuan Li, Qianli Xu, Tian Gan, Cheston Tan, Joo-Hwee Lim

IEEE Trans. Cybern., 2018

2017

Summarization of Egocentric Videos: A Comprehensive Survey.

Ana Garcia del Molino, Cheston Tan, Joo-Hwee Lim, Ah-Hwee Tan

IEEE Trans. Hum. Mach. Syst., 2017

A Wearable Virtual Usher for Vision-Based Cognitive Indoor Navigation.

Liyuan Li, Qianli Xu, Vijay Chandrasekhar, Joo-Hwee Lim, Cheston Tan, Michal Mukawa

IEEE Trans. Cybern., 2017

The effect of different types of navigation assistance on indoor scene memorability.

Michal Mukawa, Cheston Tan, Joo-Hwee Lim, Qianli Xu, Liyuan Li

Behav. Inf. Technol., 2017

Object Detection Meets Knowledge Graphs.

Yuan Fang, Kingsley Kuan, Jie Lin, Cheston Tan, Vijay Chandrasekhar

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Multiple Plasticity Mechanisms Enhance Associative Memory Retrieval in a Spiking Network Model of the Hippocampus.

Yansong Chua, Cheston Tan

Proceedings of the 2017 AAAI Spring Symposia, 2017

2015

Deep Convolutional Networks are Hierarchical Kernel Machines.

Fabio Anselmi, Lorenzo Rosasco, Cheston Tan, Tomaso A. Poggio

CoRR, 2015

Exploring users' attitudes towards social interaction assistance on Google Glass.

Qianli Xu, Michal Mukawa, Liyuan Li, Joo-Hwee Lim, Cheston Tan, Shue-Ching Chia, Tian Gan, Bappaditya Mandal

Proceedings of the 6th Augmented Human International Conference, 2015

2014

Human Perception of Visual Realism for Photo and Computer-Generated Face Images.

Shaojing Fan, Rangding Wang, Tian-Tsong Ng, Cheston Yin Chet Tan, Jonathan S. Herberg, Bryan L. Koenig

ACM Trans. Appl. Percept., 2014

Robust and Efficient Saliency Modeling from Image Co-Occurrence Histograms.

Shijian Lu, Cheston Tan, Joo-Hwee Lim

IEEE Trans. Pattern Anal. Mach. Intell., 2014

Neural tuning size is a key factor underlying holistic face processing.

Cheston Tan, Tomaso A. Poggio

CoRR, 2014

A wearable virtual guide for context-aware cognitive indoor navigation.

Qianli Xu, Liyuan Li, Joo-Hwee Lim, Cheston Yin Chet Tan, Michal Mukawa, Gang S. Wang

Proceedings of the 16th international conference on Human-computer interaction with mobile devices & services, 2014

Incremental Graph Clustering for Efficient Retrieval from Streaming Egocentric Video Data.

Vijay Chandrasekhar, Cheston Tan, Wu Min, Liyuan Li, Xiaoli Li, Joo-Hwee Lim

Proceedings of the 22nd International Conference on Pattern Recognition, 2014

Understanding the Nature of First-Person Videos: Characterization and Classification Using Low-Level Features.

Cheston Tan, Hanlin Goh, Vijay Chandrasekhar, Liyuan Li, Joo-Hwee Lim

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2014

Efficient Retrieval from Large-Scale Egocentric Visual Data Using a Sparse Graph Representation.

Wu Min, Xiao Li, Cheston Tan, Bappaditya Mandal, Liyuan Li, Joo-Hwee Lim

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2014

An Automated Estimator of Image Visual Realism Based on Human Cognition.

Shaojing Fan, Tian-Tsong Ng, Jonathan S. Herberg, Bryan L. Koenig, Cheston Yin Chet Tan, Rangding Wang

Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

A Wearable Face Recognition System on Google Glass for Assisting Social Interactions.

Bappaditya Mandal, Shue-Ching Chia, Liyuan Li, Vijay Chandrasekhar, Cheston Tan, Joo-Hwee Lim

Proceedings of the Computer Vision - ACCV 2014 Workshops, 2014

2013

Throwing Down the Visual Intelligence Gauntlet.

Cheston Tan, Joel Z. Leibo, Tomaso A. Poggio

Proceedings of the Machine Learning for Computer Vision, 2013

Neural representation of action sequences: how far can a simple snippet-matching model take us?

Cheston Tan, Jedediah M. Singer, Thomas Serre, David L. Sheinberg, Tomaso A. Poggio

Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

Classification of marine organisms in underwater images using CQ-HMAX biologically inspired color approach.

Sepehr Jalali, Paul J. Seekings, Cheston Tan, Hazel Z. W. Tan, Joo-Hwee Lim, Elizabeth A. Taylor

Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

The use of optical and sonar images in the human and dolphin brain for image classification.

Sepehr Jalali, Paul J. Seekings, Cheston Tan, Aiswarya Ratheesh, Joo-Hwee Lim, Elizabeth A. Taylor

Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

A Wearable Cognitive Vision System for Navigation Assistance in Indoor Environment.

Liyuan Li, Gang S. Wang, Weixun Goh, Joo-Hwee Lim, Cheston Tan

Proceedings of the Neural Information Processing - 20th International Conference, 2013

Encoding Co-occurrence of Features in the HMAX Model.

Sepehr Jalali, Cheston Tan, Joo-Hwee Lim, Jo Yew Tham, Sim Heng Ong, Paul J. Seekings, Elizabeth A. Taylor

Proceedings of the 35th Annual Meeting of the Cognitive Science Society, 2013

Visual Recognition using a Combination of Shape and Color Features.

Sepehr Jalali, Cheston Tan, Joo-Hwee Lim, Jo Yew Tham, Sim Heng Ong, Paul J. Seekings, Elizabeth A. Taylor

Proceedings of the 35th Annual Meeting of the Cognitive Science Society, 2013

2011

Attention as a Bayesian inference process.

Sharat Chikkerur, Thomas Serre, Cheston Tan, Tomaso A. Poggio

Proceedings of the Human Vision and Electronic Imaging XVI, 2011

2006

Systematic gene function prediction from gene expression data by using a fuzzy nearest-cluster method.

Xiaoli Li, Cheston Yin Chet Tan, See-Kiong Ng

BMC Bioinform., 2006

Systematic Gene Function Prediction Using a Fuzzy Nearest-Cluster Method on Gene Expression Data.

Xiaoli Li, Cheston Yin Chet Tan, See-Kiong Ng

Proceedings of the Interdisciplinary and Multidisciplinary Research in Computer Science, 2006