Cheston Tan - RankMe

109 papers A* 10A 4B 11Journal 64Unranked 19

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	10 Open Challenges Steering the Future of Vision-Language-Action Models. AAAI Soujanya Poria, Navonil Majumder, Chia-Yu Hung, Amir Ali Bagherzadeh, Chuan Li, Kenneth Kwok, Ziwei Wang, Cheston Tan, Jiajun Wu, David Hsu
2026	J	`jnl`	CoMMET: To What Extent Can LLMs Perform Theory of Mind Tasks? CoRR Ruirui Chen, Weifeng Jiang, Chengwei Qin, Cheston Tan
2026	J	`jnl`	Information Fidelity in Tool-Using LLM Agents: A Martingale Analysis of the Model Context Protocol. CoRR Flint Xiaofeng Fan, Cheston Tan, Roger Wattenhofer, Yew-Soon Ong
2026	J	`jnl`	MEMO: Memory-Augmented Model Context Optimization for Robust Multi-Turn Multi-Agent LLM Games. CoRR Yunfei Xie, Kevin Wang, Bobby Cheng, Jianzhu Yao, Zhizhou Sha, Alexander Duffy, Yihan Xi, Hongyuan Mei, Cheston Tan, Chen Wei, Pramod Viswanath, Zhangyang Wang
2026	J	`jnl`	TangramSR: Can Vision-Language Models Reason in Continuous Geometric Space? CoRR Yikun Zong, Cheston Tan
2026	A*	`conf`	Unveiling and Mitigating Untargeted Poisoning Attacks on Federated Knowledge Graph Embedding. WWW Wenzheng Jiang, Ke Liang, Wenke Huang, Xiongtao Zhang, Zhenxing Xu, Guancheng Wan, Cheston Tan, Flint Xiaofeng Fan, Ji Wang
2025	J	`jnl`	10 Open Challenges Steering the Future of Vision-Language-Action Models. CoRR Soujanya Poria, Navonil Majumder, Chia-Yu Hung, Amir Ali Bagherzadeh, Chuan Li, Kenneth Kwok, Ziwei Wang, Cheston Tan, Jiajun Wu, David Hsu
2025	J	`jnl`	A review of learning-based dynamics models for robotic manipulation. Sci. Robotics Bo Ai, Stephen Tian, Haochen Shi, Yixuan Wang, Tobias Pfaff, Cheston Tan, Henrik I. Christensen, Hao Su, Jiajun Wu, Yunzhu Li
2025	J	`jnl`	FailSafe: Reasoning and Recovery from Failures in Vision-Language-Action Models. CoRR Zijun Lin, Jiafei Duan, Haoquan Fang, Dieter Fox, Ranjay Krishna, Cheston Tan, Bihan Wen
2025	A	`conf`	FedHPD: Heterogeneous Federated Reinforcement Learning via Policy Distillation. AAMAS Wenzheng Jiang, Ji Wang, Xiongtao Zhang, Weidong Bao, Cheston Tan, Flint Xiaofeng Fan
2025	J	`jnl`	FedHPD: Heterogeneous Federated Reinforcement Learning via Policy Distillation. CoRR Wenzheng Jiang, Ji Wang, Xiongtao Zhang, Weidong Bao, Cheston Tan, Flint Xiaofeng Fan
2025	A	`conf`	FedRLHF: A Convergence-Guaranteed Federated Framework for Privacy-Preserving and Personalized RLHF. AAMAS Flint Xiaofeng Fan, Cheston Tan, Yew-Soon Ong, Roger Wattenhofer, Wei Tsang Ooi
2025	J	`jnl`	From Grunts to Grammar: Emergent Language from Cooperative Foraging. CoRR Maytus Piriyajitakonkij, Rujikorn Charakorn, Weicheng Tao, Wei Pan, Mingfei Sun, Cheston Tan, Mengmi Zhang
2025	J	`jnl`	GroundFlow: A Plug-in Module for Temporal Reasoning on 3D Point Cloud Sequential Grounding. CoRR Zijun Lin, Shuting He, Cheston Tan, Bihan Wen
2025	—	`conf`	How do Transformer Embeddings Represent Compositions? A Functional Analysis. ACL (Findings) Aishik Nagar, Ishaan Singh Rawal, Mansi Dhanania, Cheston Tan
2025	J	`jnl`	How do Transformer Embeddings Represent Compositions? A Functional Analysis. CoRR Aishik Nagar, Ishaan Singh Rawal, Mansi Dhanania, Cheston Tan
2025	J	`jnl`	Human-like compositional learning of visually-grounded concepts using synthetic environments. CoRR Zijun Lin, M. Ganesh Kumar, Cheston Tan
2025	A	`conf`	Inferring Past Human Actions in Homes with Abductive Reasoning. WACV Clement Tan, Chai Kiat Yeo, Cheston Tan, Basura Fernando
2025	B	`conf`	Position Paper: Rethinking Privacy in RL for Sequential Decision-making in the Age of LLMs. IJCNN Flint Xiaofeng Fan, Cheston Tan, Roger Wattenhofer, Yew-Soon Ong
2025	J	`jnl`	Position Paper: Rethinking Privacy in RL for Sequential Decision-making in the Age of LLMs. CoRR Flint Xiaofeng Fan, Cheston Tan, Roger Wattenhofer, Yew-Soon Ong
2025	J	`jnl`	SPIRAL: Self-Play on Zero-Sum Games Incentivizes Reasoning via Multi-Agent Multi-Turn Reinforcement Learning. CoRR 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
2025	J	`jnl`	Stencil: Subject-Driven Generation with Context Guidance. CoRR Gordon Chen, Ziqi Huang, Cheston Tan, Ziwei Liu
2025	J	`jnl`	TextArena. CoRR Leon Guertler, Bobby Cheng, Simon Yu, Bo Liu, Leshem Choshen, Cheston Tan
2025	J	`jnl`	The Singapore Consensus on Global AI Safety Research Priorities. CoRR 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 Sánchez-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
2025	—	`conf`	Theory of Mind in Large Language Models: Assessment and Enhancement. ACL (1) Ruirui Chen, Weifeng Jiang, Chengwei Qin, Cheston Tan
2025	J	`jnl`	Theory of Mind in Large Language Models: Assessment and Enhancement. CoRR Ruirui Chen, Weifeng Jiang, Chengwei Qin, Cheston Tan
2024	J	`jnl`	CAESAR: Enhancing Federated RL in Heterogeneous MDPs through Convergence-Aware Sampling with Screening. CoRR Hei Yi Mak, Flint Xiaofeng Fan, Luca A. Lanzendörfer, Cheston Tan, Wei Tsang Ooi, Roger Wattenhofer
2024	—	`conf`	Can LLMs Perform Structured Graph Reasoning Tasks? ICPR (6) Palaash Agrawal, Shavak Vasania, Cheston Tan
2024	A*	`conf`	Dissecting Multimodality in VideoQA Transformer Models by Impairing Modality Fusion. ICML Ishaan Singh Rawal, Alexander Matyasko, Shantanu Jaiswal, Basura Fernando, Cheston Tan
2024	—	`conf`	Dissecting Zero-Shot Visual Reasoning Capabilities in Vision and Language Models. Tiny Papers @ ICLR Aishik Nagar, Shantanu Jaiswal, Cheston Tan
2024	J	`jnl`	Evaluating the Generation of Spatial Relations in Text and Image Generative Models. CoRR Shang Hong Sim, Clarence Lee, Alvin Tan, Cheston Tan
2024	J	`jnl`	Exploring the Limitations of Graph Reasoning in Large Language Models. CoRR Palaash Agrawal, Shavak Vasania, Cheston Tan
2024	J	`jnl`	FedRLHF: A Convergence-Guaranteed Federated Framework for Privacy-Preserving and Personalized RLHF. CoRR Flint Xiaofeng Fan, Cheston Tan, Yew-Soon Ong, Roger Wattenhofer, Wei Tsang Ooi
2024	—	`conf`	LLM-Based Multi-Hop Question Answering with Knowledge Graph Integration in Evolving Environments. EMNLP (Findings) Ruirui Chen, Weifeng Jiang, Chengwei Qin, Ishaan Singh Rawal, Cheston Tan, Dongkyu Choi, Bo Xiong, Bo Ai
2024	J	`jnl`	LLM-Based Multi-Hop Question Answering with Knowledge Graph Integration in Evolving Environments. CoRR Ruirui Chen, Weifeng Jiang, Chengwei Qin, Ishaan Singh Rawal, Cheston Tan, Dongkyu Choi, Bo Xiong, Bo Ai
2024	A*	`conf`	Learning to Reason Iteratively and Parallelly for Complex Visual Reasoning Scenarios. NeurIPS Shantanu Jaiswal, Debaditya Roy, Basura Fernando, Cheston Tan
2024	J	`jnl`	Learning to Reason Iteratively and Parallelly for Complex Visual Reasoning Scenarios. CoRR Shantanu Jaiswal, Debaditya Roy, Basura Fernando, Cheston Tan
2024	—	`conf`	RoboPack: Learning Tactile-Informed Dynamics Models for Dense Packing. Robotics: Science and Systems Bo Ai, Stephen Tian, Haochen Shi, Yixuan Wang, Cheston Tan, Yunzhu Li, Jiajun Wu
2024	J	`jnl`	RoboPack: Learning Tactile-Informed Dynamics Models for Dense Packing. CoRR Bo Ai, Stephen Tian, Haochen Shi, Yixuan Wang, Cheston Tan, Yunzhu Li, Jiajun Wu
2024	J	`jnl`	STLM Engineering Report: Dropout. CoRR Dylan Hillier, Leon Guertler, Bobby Cheng, Cheston Tan
2024	A*	`conf`	Social Learning through Interactions with Other Agents: A Survey. IJCAI Dylan Hillier, Cheston Tan, Jing Jiang
2024	J	`jnl`	Social Learning through Interactions with Other Agents: A Survey. CoRR Dylan Hillier, Cheston Tan, Jing Jiang
2024	J	`jnl`	Super Tiny Language Models. CoRR Dylan Hillier, Leon Guertler, Cheston Tan, Palaash Agrawal, Ruirui Chen, Bobby Cheng
2024	B	`conf`	Zero-Shot Visual Reasoning by Vision-Language Models: Benchmarking and Analysis. IJCNN Aishik Nagar, Shantanu Jaiswal, Cheston Tan
2024	J	`jnl`	Zero-Shot Visual Reasoning by Vision-Language Models: Benchmarking and Analysis. CoRR Aishik Nagar, Shantanu Jaiswal, Cheston Tan
2023	B	`conf`	A Benchmark for Modeling Violation-of-Expectation in Physical Reasoning Across Event Categories. CogSci Arijit Dasgupta, Jiafei Duan, Yi Lin, Su-Hua Wang, Renée Baillargeon, Cheston Tan
2023	J	`jnl`	Advancing Perception in Artificial Intelligence through Principles of Cognitive Science. CoRR Palaash Agrawal, Cheston Tan, Heena Rathore
2023	J	`jnl`	Compositional Learning of Visually-Grounded Concepts Using Reinforcement. CoRR Zijun Lin, Haidi Azaman, M. Ganesh Kumar, Cheston Tan
2023	A*	`conf`	DetermiNet: A Large-Scale Diagnostic Dataset for Complex Visually-Grounded Referencing using Determiners. ICCV Clarence Lee, M. Ganesh Kumar, Cheston Tan
2023	J	`jnl`	DetermiNet: A Large-Scale Diagnostic Dataset for Complex Visually-Grounded Referencing using Determiners. CoRR Clarence Lee, M. Ganesh Kumar, Cheston Tan
2023	A	`conf`	FedHQL: Federated Heterogeneous Q-Learning. AAMAS Flint Xiaofeng Fan, Yining Ma, Zhongxiang Dai, Cheston Tan, Bryan Kian Hsiang Low
2023	J	`jnl`	FedHQL: Federated Heterogeneous Q-Learning. CoRR Flint Xiaofeng Fan, Yining Ma, Zhongxiang Dai, Cheston Tan, Bryan Kian Hsiang Low, Roger Wattenhofer
2023	J	`jnl`	Read My Mind: A Multi-Modal Dataset for Human Belief Prediction. CoRR Jiafei Duan, Samson Yu, Nicholas Tan, Yi Ru Wang, Cheston Tan
2023	J	`jnl`	Revealing the Illusion of Joint Multimodal Understanding in VideoQA Models. CoRR Ishaan Singh Rawal, Shantanu Jaiswal, Basura Fernando, Cheston Tan
2023	J	`jnl`	Robustness of Utilizing Feedback in Embodied Visual Navigation. CoRR Jenny Zhang, Samson Yu, Jiafei Duan, Cheston Tan
2023	J	`jnl`	STUPD: A Synthetic Dataset for Spatial and Temporal Relation Reasoning. CoRR Palaash Agrawal, Haidi Azaman, Cheston Tan
2022	J	`jnl`	A Survey of Embodied AI: From Simulators to Research Tasks. IEEE Trans. Emerg. Top. Comput. Intell. Jiafei Duan, Samson Yu, Hui Li Tan, Hongyuan Zhu, Cheston Tan
2022	A*	`conf`	A Survey on Machine Learning Approaches for Modelling Intuitive Physics. IJCAI Jiafei Duan, Arijit Dasgupta, Jason Fischer, Cheston Tan
2022	J	`jnl`	A Survey on Machine Learning Approaches for Modelling Intuitive Physics. CoRR Jiafei Duan, Arijit Dasgupta, Jason Fischer, Cheston Tan
2022	J	`jnl`	ABCDE: An Agent-Based Cognitive Development Environment. CoRR Jieyi Ye, Jiafei Duan, Samson Yu, Bihan Wen, Cheston Tan
2022	J	`jnl`	Abductive Action Inference. CoRR Clement Tan, Chai Kiat Yeo, Cheston Tan, Basura Fernando
2022	J	`jnl`	BOSS: A Benchmark for Human Belief Prediction in Object-context Scenarios. CoRR Jiafei Duan, Samson Yu, Nicholas Tan, Li Yi, Cheston Tan
2022	J	`jnl`	Good Time to Ask: A Learning Framework for Asking for Help in Embodied Visual Navigation. CoRR Jenny Zhang, Samson Yu, Jiafei Duan, Cheston Tan
2022	—	`conf`	PIP: Physical Interaction Prediction via Mental Simulation with Span Selection. ECCV (35) Jiafei Duan, Samson Yu, Soujanya Poria, Bihan Wen, Cheston Tan
2022	—	`conf`	Self-Supervised Superpixel Correspondences For Video Object Segmentation. VSIP Clement Tan, Chai Kiat Yeo, Cheston Tan, Basura Fernando
2022	—	`conf`	TDAM: Top-Down Attention Module for Contextually Guided Feature Selection in CNNs. ECCV (25) Shantanu Jaiswal, Basura Fernando, Cheston Tan
2021	J	`jnl`	A Benchmark for Modeling Violation-of-Expectation in Physical Reasoning Across Event Categories. CoRR Arijit Dasgupta, Jiafei Duan, Marcelo H. Ang Jr., Yi Lin, Su-Hua Wang, Renée Baillargeon, Cheston Tan
2021	B	`conf`	A Diagnostic Study Of Visual Question Answering With Analogical Reasoning. ICIP Ziqi Huang, Hongyuan Zhu, Ying Sun, Dongkyu Choi, Cheston Tan, Joo-Hwee Lim
2021	J	`jnl`	A Survey of Embodied AI: From Simulators to Research Tasks. CoRR Jiafei Duan, Samson Yu, Hui Li Tan, Hongyuan Zhu, Cheston Tan
2021	J	`jnl`	A comprehensive survey of procedural video datasets. Comput. Vis. Image Underst. Hui Li Tan, Hongyuan Zhu, Joo-Hwee Lim, Cheston Tan
2021	J	`jnl`	A nonlinear hidden layer enables actor-critic agents to learn multiple paired association navigation. CoRR M. Ganesh Kumar, Cheston Tan, Camilo Libedinsky, Shih-Cheng Yen, Andrew Yong-Yi Tan
2021	J	`jnl`	AVoE: A Synthetic 3D Dataset on Understanding Violation of Expectation for Artificial Cognition. CoRR Arijit Dasgupta, Jiafei Duan, Marcelo H. Ang Jr., Cheston Tan
2021	A*	`conf`	Fault-Tolerant Federated Reinforcement Learning with Theoretical Guarantee. NeurIPS Flint Xiaofeng Fan, Yining Ma, Zhongxiang Dai, Wei Jing, Cheston Tan, Bryan Kian Hsiang Low
2021	J	`jnl`	Fault-Tolerant Federated Reinforcement Learning with Theoretical Guarantee. CoRR Flint Xiaofeng Fan, Yining Ma, Zhongxiang Dai, Wei Jing, Cheston Tan, Bryan Kian Hsiang Low
2021	J	`jnl`	One-shot learning of paired associations by a reservoir computing model with Hebbian plasticity. CoRR M. Ganesh Kumar, Cheston Tan, Camilo Libedinsky, Shih-Cheng Yen, Andrew Yong-Yi Tan
2021	J	`jnl`	PIP: Physical Interaction Prediction via Mental Imagery with Span Selection. CoRR Jiafei Duan, Samson Yu, Soujanya Poria, Bihan Wen, Cheston Tan
2021	—	`conf`	SPACE: A Simulator for Physical Interactions and Causal Learning in 3D Environments. ICCVW Jiafei Duan, Samson Yu Bai Jian, Cheston Tan
2021	J	`jnl`	SPACE: A Simulator for Physical Interactions and Causal Learning in 3D Environments. CoRR Jiafei Duan, Samson Yu Bai Jian, Cheston Tan
2021	J	`jnl`	TDAN: Top-Down Attention Networks for Enhanced Feature Selectivity in CNNs. CoRR Shantanu Jaiswal, Basura Fernando, Cheston Tan
2020	B	`conf`	6D Pose Estimation with Correlation Fusion. ICPR Yi Cheng, Hongyuan Zhu, Ying Sun, Cihan Acar, Wei Jing, Yan Wu, Liyuan Li, Cheston Tan, Joo-Hwee Lim
2020	B	`conf`	Actionet: An Interactive End-To-End Platform For Task-Based Data Collection And Augmentation In 3D Environment. ICIP Jiafei Duan, Samson Yu, Hui Li Tan, Cheston Tan
2020	J	`jnl`	Actionet: An Interactive End-To-End Platform For Task-Based Data Collection And Augmentation In 3D Environment. CoRR Jiafei Duan, Samson Yu, Hui Li Tan, Cheston Tan
2019	J	`jnl`	6D Pose Estimation with Correlation Fusion. CoRR Yi Cheng, Hongyuan Zhu, Cihan Acar, Wei Jing, Yan Wu, Liyuan Li, Cheston Tan, Joo-Hwee Lim
2019	A*	`conf`	An End-To-End Network for Generating Social Relationship Graphs. CVPR Arushi Goel, Keng Teck Ma, Cheston Tan
2019	J	`jnl`	An End-to-End Network for Generating Social Relationship Graphs. CoRR Arushi Goel, Keng Teck Ma, Cheston Tan
2019	—	`conf`	Efficient Robotic Task Generalization Using Deep Model Fusion Reinforcement Learning. ROBIO Tianying Wang, Hao Zhang, Wei Qi Toh, Hongyuan Zhu, Cheston Tan, Yan Wu, Yong Liu, Wei Jing
2019	J	`jnl`	Efficient Robotic Task Generalization Using Deep Model Fusion Reinforcement Learning. CoRR Tianying Wang, Hao Zhang, Wei Qi Toh, Hongyuan Zhu, Cheston Tan, Yan Wu, Yong Liu, Wei Jing
2018	J	`jnl`	A Probabilistic Model of Social Working Memory for Information Retrieval in Social Interactions. IEEE Trans. Cybern. Liyuan Li, Qianli Xu, Tian Gan, Cheston Tan, Joo-Hwee Lim
2017	J	`jnl`	A Wearable Virtual Usher for Vision-Based Cognitive Indoor Navigation. IEEE Trans. Cybern. Liyuan Li, Qianli Xu, Vijay Chandrasekhar, Joo-Hwee Lim, Cheston Tan, Michal Mukawa
2017	—	`conf`	Multiple Plasticity Mechanisms Enhance Associative Memory Retrieval in a Spiking Network Model of the Hippocampus. AAAI Spring Symposia Yansong Chua, Cheston Tan
2017	A*	`conf`	Object Detection Meets Knowledge Graphs. IJCAI Yuan Fang, Kingsley Kuan, Jie Lin, Cheston Tan, Vijay Chandrasekhar
2017	J	`jnl`	Summarization of Egocentric Videos: A Comprehensive Survey. IEEE Trans. Hum. Mach. Syst. Ana Garcia del Molino, Cheston Tan, Joo-Hwee Lim, Ah-Hwee Tan
2017	J	`jnl`	The effect of different types of navigation assistance on indoor scene memorability. Behav. Inf. Technol. Michal Mukawa, Cheston Tan, Joo-Hwee Lim, Qianli Xu, Liyuan Li
2015	J	`jnl`	Deep Convolutional Networks are Hierarchical Kernel Machines. CoRR Fabio Anselmi, Lorenzo Rosasco, Cheston Tan, Tomaso A. Poggio
2015	—	`conf`	Exploring users' attitudes towards social interaction assistance on Google Glass. AH Qianli Xu, Michal Mukawa, Liyuan Li, Joo-Hwee Lim, Cheston Tan, Shue-Ching Chia, Tian Gan, Bappaditya Mandal
2014	—	`conf`	A Wearable Face Recognition System on Google Glass for Assisting Social Interactions. ACCV Workshops (3) Bappaditya Mandal, Shue-Ching Chia, Liyuan Li, Vijay Chandrasekhar, Cheston Tan, Joo-Hwee Lim
2014	—	`conf`	Efficient Retrieval from Large-Scale Egocentric Visual Data Using a Sparse Graph Representation. CVPR Workshops Wu Min, Xiao Li, Cheston Tan, Bappaditya Mandal, Liyuan Li, Joo-Hwee Lim
2014	B	`conf`	Incremental Graph Clustering for Efficient Retrieval from Streaming Egocentric Video Data. ICPR Vijay Chandrasekhar, Cheston Tan, Wu Min, Liyuan Li, Xiaoli Li, Joo-Hwee Lim
2014	J	`jnl`	Neural tuning size is a key factor underlying holistic face processing. CoRR Cheston Tan, Tomaso A. Poggio
2014	J	`jnl`	Robust and Efficient Saliency Modeling from Image Co-Occurrence Histograms. IEEE Trans. Pattern Anal. Mach. Intell. Shijian Lu, Cheston Tan, Joo-Hwee Lim
2014	—	`conf`	Understanding the Nature of First-Person Videos: Characterization and Classification Using Low-Level Features. CVPR Workshops Cheston Tan, Hanlin Goh, Vijay Chandrasekhar, Liyuan Li, Joo-Hwee Lim
2013	—	`conf`	A Wearable Cognitive Vision System for Navigation Assistance in Indoor Environment. ICONIP (3) Liyuan Li, Gang S. Wang, Weixun Goh, Joo-Hwee Lim, Cheston Tan
2013	B	`conf`	Classification of marine organisms in underwater images using CQ-HMAX biologically inspired color approach. IJCNN Sepehr Jalali, Paul J. Seekings, Cheston Tan, Hazel Z. W. Tan, Joo-Hwee Lim, Elizabeth A. Taylor
2013	B	`conf`	Encoding Co-occurrence of Features in the HMAX Model. CogSci Sepehr Jalali, Cheston Tan, Joo-Hwee Lim, Jo Yew Tham, Sim Heng Ong, Paul J. Seekings, Elizabeth A. Taylor
2013	—	`conf`	Neural representation of action sequences: how far can a simple snippet-matching model take us? NIPS Cheston Tan, Jedediah M. Singer, Thomas Serre, David L. Sheinberg, Tomaso A. Poggio
2013	B	`conf`	The use of optical and sonar images in the human and dolphin brain for image classification. IJCNN Sepehr Jalali, Paul J. Seekings, Cheston Tan, Aiswarya Ratheesh, Joo-Hwee Lim, Elizabeth A. Taylor
2013	—	`ch.`	Throwing Down the Visual Intelligence Gauntlet. Machine Learning for Computer Vision Cheston Tan, Joel Z. Leibo, Tomaso A. Poggio
2013	B	`conf`	Visual Recognition using a Combination of Shape and Color Features. CogSci Sepehr Jalali, Cheston Tan, Joo-Hwee Lim, Jo Yew Tham, Sim Heng Ong, Paul J. Seekings, Elizabeth A. Taylor
2011	—	`conf`	Attention as a Bayesian inference process. Human Vision and Electronic Imaging Sharat Chikkerur, Thomas Serre, Cheston Tan, Tomaso A. Poggio