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Cheston Yin Chet Tan
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2020 – today
- 2024
[c37]Ruirui Chen, Weifeng Jiang, Chengwei Qin, Ishaan Singh Rawal, Cheston Tan, Dongkyu Choi, Bo Xiong, Bo Ai:
LLM-Based Multi-Hop Question Answering with Knowledge Graph Integration in Evolving Environments. EMNLP (Findings) 2024: 14438-14451- [c36]Aishik Nagar, Shantanu Jaiswal, Cheston Tan:
Dissecting Zero-Shot Visual Reasoning Capabilities in Vision and Language Models. Tiny Papers @ ICLR 2024 - [c35]Ishaan Singh Rawal, Alexander Matyasko, Shantanu Jaiswal, Basura Fernando, Cheston Tan:
Dissecting Multimodality in VideoQA Transformer Models by Impairing Modality Fusion. ICML 2024 - [c34]Dylan Hillier, Cheston Tan, Jing Jiang:
Social Learning through Interactions with Other Agents: A Survey. IJCAI 2024: 8067-8076 - [c33]Aishik Nagar, Shantanu Jaiswal, Cheston Tan:
Zero-Shot Visual Reasoning by Vision-Language Models: Benchmarking and Analysis. IJCNN 2024: 1-8 - [i37]Palaash Agrawal, Shavak Vasania, Cheston Tan:
Exploring the Limitations of Graph Reasoning in Large Language Models. CoRR abs/2402.01805 (2024) - [i36]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 abs/2403.20156 (2024) - [i35]Dylan Hillier, Leon Guertler, Cheston Tan, Palaash Agrawal, Ruirui Chen, Bobby Cheng:
Super Tiny Language Models. CoRR abs/2405.14159 (2024) - [i34]Bo Ai, Stephen Tian, Haochen Shi, Yixuan Wang, Cheston Tan, Yunzhu Li, Jiajun Wu:
RoboPack: Learning Tactile-Informed Dynamics Models for Dense Packing. CoRR abs/2407.01418 (2024) - [i33]Dylan Hillier, Cheston Tan, Jing Jiang:
Social Learning through Interactions with Other Agents: A Survey. CoRR abs/2407.21713 (2024) - [i32]Ruirui Chen, Weifeng Jiang, Chengwei Qin, Ishaan Singh Rawal, Cheston Tan, Dongkyu Choi, Bo Xiong, Bo Ai:
LLM-Based Multi-Hop Question Answering with Knowledge Graph Integration in Evolving Environments. CoRR abs/2408.15903 (2024) - [i31]Aishik Nagar, Shantanu Jaiswal, Cheston Tan:
Zero-Shot Visual Reasoning by Vision-Language Models: Benchmarking and Analysis. CoRR abs/2409.00106 (2024) - [i30]Dylan Hillier, Leon Guertler, Bobby Cheng, Cheston Tan:
STLM Engineering Report: Dropout. CoRR abs/2409.05423 (2024) - 2023
- [c32]Flint Xiaofeng Fan, Yining Ma, Zhongxiang Dai, Cheston Tan, Bryan Kian Hsiang Low:
FedHQL: Federated Heterogeneous Q-Learning. AAMAS 2023: 2810-2812 - [c31]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 - [c30]Clarence Lee, M. Ganesh Kumar
, Cheston Tan:
DetermiNet: A Large-Scale Diagnostic Dataset for Complex Visually-Grounded Referencing using Determiners. ICCV 2023: 19962-19971 - [i29]Flint Xiaofeng Fan, Yining Ma, Zhongxiang Dai, Cheston Tan, Bryan Kian Hsiang Low, Roger Wattenhofer:
FedHQL: Federated Heterogeneous Q-Learning. CoRR abs/2301.11135 (2023) - [i28]Jenny Zhang, Samson Yu, Jiafei Duan, Cheston Tan:
Robustness of Utilizing Feedback in Embodied Visual Navigation. CoRR abs/2303.15453 (2023) - [i27]Jiafei Duan, Samson Yu, Nicholas Tan, Yi Ru Wang, Cheston Tan:
Read My Mind: A Multi-Modal Dataset for Human Belief Prediction. CoRR abs/2304.14501 (2023) - [i26]Ishaan Singh Rawal, Shantanu Jaiswal, Basura Fernando, Cheston Tan:
Revealing the Illusion of Joint Multimodal Understanding in VideoQA Models. CoRR abs/2306.08889 (2023) - [i25]Clarence Lee, M. Ganesh Kumar, Cheston Tan:
DetermiNet: A Large-Scale Diagnostic Dataset for Complex Visually-Grounded Referencing using Determiners. CoRR abs/2309.03483 (2023) - [i24]Zijun Lin, Haidi Azaman, M. Ganesh Kumar, Cheston Tan:
Compositional Learning of Visually-Grounded Concepts Using Reinforcement. CoRR abs/2309.04504 (2023) - [i23]Palaash Agrawal, Haidi Azaman, Cheston Tan:
STUPD: A Synthetic Dataset for Spatial and Temporal Relation Reasoning. CoRR abs/2309.06680 (2023) - [i22]Palaash Agrawal, Cheston Tan, Heena Rathore:
Advancing Perception in Artificial Intelligence through Principles of Cognitive Science. CoRR abs/2310.08803 (2023) - 2022
- [j9]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): 230-244 (2022) - [c29]Shantanu Jaiswal, Basura Fernando, Cheston Tan:
TDAM: Top-Down Attention Module for Contextually Guided Feature Selection in CNNs. ECCV (25) 2022: 259-276 - [c28]Jiafei Duan, Samson Yu, Soujanya Poria, Bihan Wen, Cheston Tan:
PIP: Physical Interaction Prediction via Mental Simulation with Span Selection. ECCV (35) 2022: 405-421 - [c27]Jiafei Duan, Arijit Dasgupta, Jason Fischer, Cheston Tan:
A Survey on Machine Learning Approaches for Modelling Intuitive Physics. IJCAI 2022: 5444-5452 - [c26]Clement Tan, Chai Kiat Yeo, Cheston Tan, Basura Fernando:
Self-Supervised Superpixel Correspondences For Video Object Segmentation. VSIP 2022: 117-121 - [i21]Jiafei Duan, Arijit Dasgupta, Jason Fischer, Cheston Tan:
A Survey on Machine Learning Approaches for Modelling Intuitive Physics. CoRR abs/2202.06481 (2022) - [i20]Jieyi Ye, Jiafei Duan, Samson Yu, Bihan Wen, Cheston Tan:
ABCDE: An Agent-Based Cognitive Development Environment. CoRR abs/2206.04909 (2022) - [i19]Jenny Zhang, Samson Yu, Jiafei Duan, Cheston Tan:
Good Time to Ask: A Learning Framework for Asking for Help in Embodied Visual Navigation. CoRR abs/2206.10606 (2022) - [i18]Jiafei Duan, Samson Yu, Nicholas Tan, Li Yi, Cheston Tan:
BOSS: A Benchmark for Human Belief Prediction in Object-context Scenarios. CoRR abs/2206.10665 (2022) - [i17]Clement Tan, Chai Kiat Yeo, Cheston Tan, Basura Fernando:
Abductive Action Inference. CoRR abs/2210.13984 (2022) - 2021
- [j8]Hui Li Tan, Hongyuan Zhu, Joo-Hwee Lim, Cheston Tan:
A comprehensive survey of procedural video datasets. Comput. Vis. Image Underst. 202: 103107 (2021) - [c25]Jiafei Duan, Samson Yu Bai Jian, Cheston Tan:
SPACE: A Simulator for Physical Interactions and Causal Learning in 3D Environments. ICCVW 2021: 2058-2063 - [c24]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: 2463-2467 - [c23]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: 1007-1021 - [i16]Jiafei Duan, Samson Yu, Hui Li Tan, Hongyuan Zhu, Cheston Tan:
A Survey of Embodied AI: From Simulators to Research Tasks. CoRR abs/2103.04918 (2021) - [i15]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 abs/2106.03580 (2021) - [i14]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 abs/2106.13541 (2021) - [i13]Jiafei Duan, Samson Yu Bai Jian, Cheston Tan:
SPACE: A Simulator for Physical Interactions and Causal Learning in 3D Environments. CoRR abs/2108.06180 (2021) - [i12]Jiafei Duan, Samson Yu, Soujanya Poria, Bihan Wen, Cheston Tan:
PIP: Physical Interaction Prediction via Mental Imagery with Span Selection. CoRR abs/2109.04683 (2021) - [i11]Arijit Dasgupta, Jiafei Duan, Marcelo H. Ang Jr., Cheston Tan:
AVoE: A Synthetic 3D Dataset on Understanding Violation of Expectation for Artificial Cognition. CoRR abs/2110.05836 (2021) - [i10]Flint Xiaofeng Fan, Yining Ma, Zhongxiang Dai, Wei Jing, Cheston Tan, Bryan Kian Hsiang Low:
Fault-Tolerant Federated Reinforcement Learning with Theoretical Guarantee. CoRR abs/2110.14074 (2021) - [i9]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 abs/2111.08826 (2021) - [i8]Shantanu Jaiswal, Basura Fernando, Cheston Tan:
TDAN: Top-Down Attention Networks for Enhanced Feature Selectivity in CNNs. CoRR abs/2111.13470 (2021) - 2020
- [c22]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: 1566-1570 - [c21]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: 2988-2994 - [c20]Basura Fernando, Cheston Yin Chet Tan, Hakan Bilen:
Weakly Supervised Gaussian Networks for Action Detection. WACV 2020: 526-535 - [i7]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 abs/2010.01357 (2020)
2010 – 2019
- 2019
- [c19]Arushi Goel, Keng Teck Ma, Cheston Tan:
An End-To-End Network for Generating Social Relationship Graphs. CVPR 2019: 11186-11195 - [c18]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: 148-153 - [i6]Arushi Goel, Keng Teck Ma, Cheston Tan:
An End-to-End Network for Generating Social Relationship Graphs. CoRR abs/1903.09784 (2019) - [i5]Basura Fernando, Cheston Yin Chet Tan, Hakan Bilen:
Weakly Supervised Gaussian Networks for Action Detection. CoRR abs/1904.07774 (2019) - [i4]Yi Cheng, Hongyuan Zhu, Cihan Acar, Wei Jing, Yan Wu, Liyuan Li, Cheston Tan, Joo-Hwee Lim:
6D Pose Estimation with Correlation Fusion. CoRR abs/1909.12936 (2019) - [i3]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 abs/1912.05205 (2019) - 2018
- [j7]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): 1540-1552 (2018) - 2017
- [j6]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): 897-912 (2017) - [j5]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): 841-854 (2017) - [j4]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): 65-76 (2017) - [c17]Yansong Chua, Cheston Tan:
Multiple Plasticity Mechanisms Enhance Associative Memory Retrieval in a Spiking Network Model of the Hippocampus. AAAI Spring Symposia 2017 - [c16]Yuan Fang, Kingsley Kuan, Jie Lin, Cheston Tan, Vijay Chandrasekhar:
Object Detection Meets Knowledge Graphs. IJCAI 2017: 1661-1667 - 2015
- [c15]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: 9-12 - [i2]Fabio Anselmi, Lorenzo Rosasco, Cheston Tan, Tomaso A. Poggio:
Deep Convolutional Networks are Hierarchical Kernel Machines. CoRR abs/1508.01084 (2015) - 2014
- [j3]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): 195-201 (2014) - [j2]Shaojing Fan, Rangding Wang, Tian-Tsong Ng, Cheston Yin Chet Tan, Jonathan S. Herberg, Bryan L. Koenig:
Human Perception of Visual Realism for Photo and Computer-Generated Face Images. ACM Trans. Appl. Percept. 11(2): 7:1-7:21 (2014) - [c14]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: 419-433 - [c13]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: 541-548 - [c12]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: 549-556 - [c11]Shaojing Fan, Tian-Tsong Ng, Jonathan S. Herberg, Bryan L. Koenig, Cheston Yin Chet Tan, Rangding Wang:
An Automated Estimator of Image Visual Realism Based on Human Cognition. CVPR 2014: 4201-4208 - [c10]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: 2631-2636 - [c9]Qianli Xu, Liyuan Li, Joo-Hwee Lim, Cheston Yin Chet Tan, Michal Mukawa, Gang S. Wang:
A wearable virtual guide for context-aware cognitive indoor navigation. Mobile HCI 2014: 111-120 - [i1]Cheston Tan, Tomaso A. Poggio:
Neural tuning size is a key factor underlying holistic face processing. CoRR abs/1406.3793 (2014) - 2013
- [c8]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 - [c7]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 - [c6]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: 249-257 - [c5]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: 1-8 - [c4]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: 1-8 - [c3]Cheston Tan, Jedediah M. Singer, Thomas Serre, David L. Sheinberg, Tomaso A. Poggio:
Neural representation of action sequences: how far can a simple snippet-matching model take us? NIPS 2013: 593-601 - [p1]Cheston Tan, Joel Z. Leibo, Tomaso A. Poggio:
Throwing Down the Visual Intelligence Gauntlet. Machine Learning for Computer Vision 2013: 1-15 - 2011
- [c2]Sharat Chikkerur, Thomas Serre, Cheston Tan, Tomaso A. Poggio:
Attention as a Bayesian inference process. Human Vision and Electronic Imaging 2011: 786511
2000 – 2009
- 2006
- [j1]Xiaoli Li, Cheston Yin Chet Tan, See-Kiong Ng:
Systematic gene function prediction from gene expression data by using a fuzzy nearest-cluster method. BMC Bioinform. 7(S-4) (2006) - [c1]Xiaoli Li, Cheston Yin Chet Tan, See-Kiong Ng:
Systematic Gene Function Prediction Using a Fuzzy Nearest-Cluster Method on Gene Expression Data. IMSCCS (1) 2006: 171-178
Coauthor Index
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