Fen Fang

According to our database, Fen Fang authored at least 37 papers between 2011 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Enhancing Representation Learning With Spatial Transformation and Early Convolution for Reinforcement Learning-Based Small Object Detection.

Fen Fang, Wenyu Liang, Yi Cheng, Qianli Xu, Joo-Hwee Lim

IEEE Trans. Circuits Syst. Video Technol., January, 2024

2023

Visuo-Tactile Feedback-Based Robot Manipulation for Object Packing.

Wenyu Liang, Fen Fang, Cihan Acar, Wei Qi Toh, Ying Sun, Qianli Xu, Yan Wu

IEEE Robotics Autom. Lett., 2023

Team I2R-VI-FF Technical Report on EPIC-KITCHENS VISOR Hand Object Segmentation Challenge 2023.

Fen Fang, Yi Cheng, Ying Sun, Qianli Xu

CoRR, 2023

Masked Diffusion with Task-awareness for Procedure Planning in Instructional Videos.

Fen Fang, Yun Liu, Ali Koksal, Qianli Xu, Joo-Hwee Lim

CoRR, 2023

A Study on Differentiable Logic and LLMs for EPIC-KITCHENS-100 Unsupervised Domain Adaptation Challenge for Action Recognition 2023.

Yi Cheng, Ziwei Xu, Fen Fang, Dongyun Lin, Hehe Fan, Yongkang Wong, Ying Sun, Mohan S. Kankanhalli

CoRR, 2023

Team VI-I2R Technical Report on EPIC-KITCHENS-100 Unsupervised Domain Adaptation Challenge for Action Recognition 2022.

Yi Cheng, Dongyun Lin, Fen Fang, Hao Xuan Woon, Qianli Xu, Ying Sun

CoRR, 2023

Data Augmentation Using Corner CutMix and an Auxiliary Self-Supervised Loss.

Fen Fang, Nhat M. Hoang, Qianli Xu, Joo-Hwee Lim

Proceedings of the IEEE International Conference on Image Processing, 2023

2022

Image Understanding With Reinforcement Learning: Auto-Tuning Image Attributes and Model Parameters for Object Detection and Segmentation.

Fen Fang, Qianli Xu, Yi Cheng, Ying Sun, Joo-Hwee Lim

IEEE Trans. Circuits Syst. Video Technol., 2022

Self-Supervised Reinforcement Learning for Active Object Detection.

Fen Fang, Wenyu Liang, Yan Wu, Qianli Xu, Joo-Hwee Lim

IEEE Robotics Autom. Lett., 2022

Visuo-Tactile Manipulation Planning Using Reinforcement Learning with Affordance Representation.

Wenyu Liang, Fen Fang, Cihan Acar, Wei Qi Toh, Ying Sun, Qianli Xu, Yan Wu

CoRR, 2022

Team VI-I2R Technical Report on EPIC-KITCHENS-100 Unsupervised Domain Adaptation Challenge for Action Recognition 2021.

Yi Cheng, Fen Fang, Ying Sun

CoRR, 2022

Hierarchical Defect Detection Based On Reinforcement Learning.

Fen Fang, Qianli Xu, Joo-Hwee Lim

Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

Improving Generalization of Reinforcement Learning Using a Bilinear Policy Network.

Fen Fang, Wenyu Liang, Yan Wu, Qianli Xu, Joo-Hwee Lim

Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

2021

Lifelog Image Retrieval Based on Semantic Relevance Mapping.

Qianli Xu, Ana Garcia del Molino, Jie Lin, Fen Fang, Vigneshwaran Subbaraju, Liyuan Li, Joo-Hwee Lim

ACM Trans. Multim. Comput. Commun. Appl., 2021

Towards a Programming-Free Robotic System for Assembly Tasks Using Intuitive Interactions.

Nicolas Gauthier, Wenyu Liang, Qianli Xu, Fen Fang, Liyuan Li, Ruihan Gao, Yan Wu, Joo Hwee Lim

Proceedings of the Social Robotics - 13th International Conference, 2021

Predicting Event Memorability from Contextual Visual Semantics.

Qianli Xu, Fen Fang, Ana Garcia del Molino, Vigneshwaran Subbaraju, Joo-Hwee Lim

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

Towards Efficient Multiview Object Detection with Adaptive Action Prediction.

Qianli Xu, Fen Fang, Nicolas Gauthier, Wenyu Liang, Yan Wu, Liyuan Li, Joo-Hwee Lim

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Enhancing Multi-Step Action Prediction for Active Object Detection.

Fen Fang, Qianli Xu, Nicolas Gauthier, Liyuan Li, Joo-Hwee Lim

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

TAILOR: Teaching with Active and Incremental Learning for Object Registration.

Qianli Xu, Nicolas Gauthier, Wenyu Liang, Fen Fang, Hui Li Tan, Ying Sun, Yan Wu, Liyuan Li, Joo-Hwee Lim

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Combining Faster R-CNN and Model-Driven Clustering for Elongated Object Detection.

Fen Fang, Liyuan Li, Hongyuan Zhu, Joo-Hwee Lim

IEEE Trans. Image Process., 2020

A novel hybrid approach for crack detection.

Fen Fang, Liyuan Li, Ying Gu, Hongyuan Zhu, Joo-Hwee Lim

Pattern Recognit., 2020

Detecting Objects with High Object Region Percentage.

Fen Fang, Qianli Xu, Liyuan Li, Ying Gu, Joo-Hwee Lim

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

Active Image Sampling on Canonical Views for Novel Object Detection.

Qianli Xu, Fen Fang, Nicolas Gauthier, Liyuan Li, Joo-Hwee Lim

Proceedings of the IEEE International Conference on Image Processing, 2020

Task-Oriented Multi-Modal Question Answering For Collaborative Applications.

Hui Li Tan, Mei Chee Leong, Qianli Xu, Liyuan Li, Fen Fang, Yi Cheng, Nicolas Gauthier, Ying Sun, Joo Hwee Lim

Proceedings of the IEEE International Conference on Image Processing, 2020

2019

Self-Teaching Strategy for Learning to Recognize Novel Objects in Collaborative Robots.

Fen Fang, Qianli Xu, Yi Cheng, Liyuan Li, Ying Sun, Joo-Hwee Lim

Proceedings of the ICRAI 2019: 5th International Conference on Robotics and Artificial Intelligence, 2019

Enhance the Efficacy of Deep CNN with Auxiliary Labels.

Fen Fang, Liyuan Li, Joo-Hwee Lim

Proceedings of the ICRAI 2019: 5th International Conference on Robotics and Artificial Intelligence, 2019

An Adaptive Fitting Approach for the Visual Detection and Counting of Small Circular Objects in Manufacturing Applications.

Ying Gu, Liyuan Li, Fen Fang, Mark D. Rice, Jamie Ng, Wei Xiong, Joo-Hwee Lim

Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

Towards Real-Time Crack Detection Using a Deep Neural Network With a Bayesian Fusion Algorithm.

Fen Fang, Liyuan Li, Mark D. Rice, Joo-Hwee Lim

Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

2018

Image-based Parking Place Identification for Regulating Shared Bicycle Parking.

Shudong Xie, Yiqun Li, Qianli Xu, Fen Fang, Liyuan Li

Proceedings of the 15th International Conference on Control, 2018

2017

Visualizing Personal Lifelog Data for Deeper Insights at the NTCIR-13 Lifelog-2 Task.

Qianli Xu, Vigneshwaran Subbaraju, Ana Garcia del Molino, Jie Lin, Fen Fang, Joo-Hwee Lim, Liyuan Li, Vijay Chandrasekhar

Proceedings of the 13th NTCIR Conference, 2017

VCI2R at the NTCIR-13 Lifelog-2 Lifelog Semantic Access Task.

Jie Lin, Ana Garcia del Molino, Qianli Xu, Fen Fang, Vigneshwaran Subbaraju, Joo-Hwee Lim, Liyuan Li, Vijay Chandrasekhar

Proceedings of the 13th NTCIR Conference, 2017

2015

Identification of faces in line drawings by edge decomposition.

Fen Fang, Yong Tsui Lee, Mei Chee Leong

Pattern Recognit., 2015

2014

Efficient decomposition of line drawings of connected manifolds without face identification.

Fen Fang, Yong Tsui Lee

Comput. Aided Des., 2014

2013

A Search-and-Validate Method for Face Identification from Single Line Drawings.

Mei Chee Leong, Yong Tsui Lee, Fen Fang

IEEE Trans. Pattern Anal. Mach. Intell., 2013

3D reconstruction from drawings with straight and curved edges.

Fen Fang, Yong Tsui Lee

Proceedings of the SIGGRAPH Asia 2013, 2013

2012

A new hybrid method for 3D object recovery from 2D drawings and its validation against the cubic corner method and the optimisation-based method.

Yong Tsui Lee, Fen Fang

Comput. Aided Des., 2012

2011

3D reconstruction of polyhedral objects from single parallel projections using cubic corner.

Yong Tsui Lee, Fen Fang

Comput. Aided Des., 2011