Jia-Fong Yeh

According to our database, Jia-Fong Yeh authored at least 34 papers between 2016 and 2026.

Collaborative distances:

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

2026

ADAPT: Benchmarking Commonsense Planning under Unspecified Affordance Constraints.

Pei-An Chen, Yong-Ching Liang, Jia-Fong Yeh, Hung-Ting Su, Yi-Ting Chen, Min Sun, Winston H. Hsu

CoRR, April, 2026

VLN-NF: Feasibility-Aware Vision-and-Language Navigation with False-Premise Instructions.

Hung-Ting Su, Ting-Jun Wang, Jia-Fong Yeh, Min Sun, Winston H. Hsu

CoRR, April, 2026

Affordance-Guided Coarse-to-Fine Exploration for Base Placement in Open-Vocabulary Mobile Manipulation.

Tzu-Jung Lin, Jia-Fong Yeh, Hung-Ting Su, Chung-Yi Lin, Yi-Ting Chen, Winston H. Hsu

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Enhancing Generalization of Offline RL in Data-Limited Settings With Heuristic Rules.

Briti Gangopadhyay, Zhao Wang, Jia-Fong Yeh, Shingo Takamatsu

IEEE Trans. Artif. Intell., August, 2025

VICtoR: Learning Hierarchical Vision-Instruction Correlation Rewards for Long-horizon Manipulation.

Kuo-Han Hung, Pang-Chi Lo, Jia-Fong Yeh, Han-Yuan Hsu, Yi-Ting Chen, Winston H. Hsu

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

HERMES: Temporal-Coherent Long-form Understanding with Episodes and Semantics.

Gueter Josmy Faure, Jia-Fong Yeh, Min-Hung Chen, Hung-Ting Su, Shang-Hong Lai, Winston H. Hsu

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

MovieCORE: COgnitive REasoning in Movies.

Gueter Josmy Faure, Min-Hung Chen, Jia-Fong Yeh, Ying Cheng, Hung-Ting Su, Yung-Hao Tang, Shang-Hong Lai, Winston H. Hsu

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

2024

Distribution Discrepancy and Feature Heterogeneity for Active 3D Object Detection.

Huang-Yu Chen, Jia-Fong Yeh, Jia-Wei Liao, Pin-Hsuan Peng, Winston H. Hsu

CoRR, 2024

Context-Aware Replanning with Pre-explored Semantic Map for Object Navigation.

Hung-Ting Su, Ching-Yuan Chen, Po-Chen Ko, Jia-Fong Yeh, Min Sun, Winston H. Hsu

CoRR, 2024

Bridging Episodes and Semantics: A Novel Framework for Long-Form Video Understanding.

Gueter Josmy Faure, Jia-Fong Yeh, Min-Hung Chen, Hung-Ting Su, Winston H. Hsu, Shang-Hong Lai

CoRR, 2024

Augmenting Offline RL with Unlabeled Data.

Zhao Wang, Briti Gangopadhyay, Jia-Fong Yeh, Shingo Takamatsu

CoRR, 2024

Integrating Domain Knowledge for handling Limited Data in Offline RL.

Briti Gangopadhyay, Zhao Wang, Jia-Fong Yeh, Shingo Takamatsu

CoRR, 2024

Shared-unique Features and Task-aware Prioritized Sampling on Multi-task Reinforcement Learning.

Po-Shao Lin, Jia-Fong Yeh, Yi-Ting Chen, Winston H. Hsu

CoRR, 2024

AED: Adaptable Error Detection for Few-shot Imitation Policy.

Jia-Fong Yeh, Kuo-Han Hung, Pang-Chi Lo, Chi-Ming Chung, Tsung-Han Wu, Hung-Ting Su, Yi-Ting Chen, Winston H. Hsu

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Tracking-Assisted Object Detection with Event Cameras.

Ting-Kang Yen, Igor Morawski, Shusil Dangi, Kai He, Chung-Yi Lin, Jia-Fong Yeh, Hung-Ting Su, Winston H. Hsu

Proceedings of the Computer Vision - ECCV 2024 Workshops, 2024

Context-Aware Replanning with Pre-Explored Semantic Map for Object Navigation.

Po-Chen Ko, Hung-Ting Su, CY Chen, Jia-Fong Yeh, Min Sun, Winston H. Hsu

Proceedings of the Conference on Robot Learning, 6-9 November 2024, Munich, Germany., 2024

Distribution Discrepancy and Feature Heterogeneity for Active 3D Object Detection.

Huang-Yu Chen, Jia-Fong Yeh, Jiawe Jiawei, Pin-Hsuan Peng, Winston H. Hsu

Proceedings of the Conference on Robot Learning, 6-9 November 2024, Munich, Germany., 2024

2023

Dual-Awareness Attention for Few-Shot Object Detection.

Tung-I Chen, Yueh-Cheng Liu, Hung-Ting Su, Yu-Cheng Chang, Yu-Hsiang Lin, Jia-Fong Yeh, Wen-Chin Chen, Winston H. Hsu

IEEE Trans. Multim., 2023

MuRAL: Multi-Scale Region-based Active Learning for Object Detection.

Yi-Syuan Liou, Tsung-Han Wu, Jia-Fong Yeh, Wen-Chin Chen, Winston H. Hsu

CoRR, 2023

Orbeez-SLAM: A Real-time Monocular Visual SLAM with ORB Features and NeRF-realized Mapping.

Chi-Ming Chung, Yang-Che Tseng, Ya-Ching Hsu, Xiang Qian Shi, Yun-Hung Hua, Jia-Fong Yeh, Wen-Chin Chen, Yi-Ting Chen, Winston H. Hsu

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

BIRD-PCC: Bi-Directional Range Image-Based Deep Lidar Point Cloud Compression.

Chia-Sheng Liu, Jia-Fong Yeh, Hao Hsu, Hung-Ting Su, Ming-Sui Lee, Winston H. Hsu

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

SeqDNet: Improving Missing Value by Sequential Depth Network.

Hao Hsu, Hung-Ting Su, Jia-Fong Yeh, Chi-Ming Chung, Winston H. Hsu

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

Learning Fine-Grained Visual Understanding for Video Question Answering via Decoupling Spatial-Temporal Modeling.

Hsin-Ying Lee, Hung-Ting Su, Bing-Chen Tsai, Tsung-Han Wu, Jia-Fong Yeh, Winston H. Hsu

Proceedings of the 33rd British Machine Vision Conference 2022, 2022

Free-form 3D Scene Inpainting with Dual-stream GAN.

Ru-Fen Jheng, Tsung-Han Wu, Jia-Fong Yeh, Winston H. Hsu

Proceedings of the 33rd British Machine Vision Conference 2022, 2022

Stage Conscious Attention Network (SCAN): A Demonstration-Conditioned Policy for Few-Shot Imitation.

Jia-Fong Yeh, Chi-Ming Chung, Hung-Ting Su, Yi-Ting Chen, Winston H. Hsu

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Should I Look at the Head or the Tail? Dual-awareness Attention for Few-Shot Object Detection.

Tung-I Chen, Yueh-Cheng Liu, Hung-Ting Su, Yu-Cheng Chang, Yu-Hsiang Lin, Jia-Fong Yeh, Winston H. Hsu

CoRR, 2021

Role Aware Multi-Party Dialogue Question Answering.

Jui-Heng Hsu, Po-Wei Shen, Hung-Ting Su, Chen-Hsi Chang, Jia-Fong Yeh, Winston H. Hsu

Proceedings of the IEEE International Conference on Acoustics, 2021

2020

Large Margin Mechanism and Pseudo Query Set on Cross-Domain Few-Shot Learning.

Jia-Fong Yeh, Hsin-Ying Lee, Bing-Chen Tsai, Yi-Rong Chen, Ping-Chia Huang, Winston H. Hsu

CoRR, 2020

Multi-population Modified L-SHADE for Single Objective Bound Constrained optimization.

Yann-Chern Jou, Shuo-Ying Wang, Jia-Fong Yeh, Tsung-Che Chiang

Proceedings of the IEEE Congress on Evolutionary Computation, 2020

2019

Parameter Setting of CMA-ES: A Numerical Study on CEC2019 100-Digit Challenge.

Ting-Yu Chen, Jia-Fong Yeh, Tsung-Su Yeh, Tsung-Che Chiang

Proceedings of the 2019 International Conference on Technologies and Applications of Artificial Intelligence, 2019

Modified L-SHADE for Single Objective Real-Parameter Optimization.

Jia-Fong Yeh, Ting-Yu Chen, Tsung-Che Chiang

Proceedings of the IEEE Congress on Evolutionary Computation, 2019

2018

Design and implementation aspects of a Surakarta program.

Yen-Chi Chen, Jia-Fong Yeh, Shun-Shii Lin

ICGA J., 2018

2017

A Many-Objective Evolutionary Algorithm with Reference Point-Based and Vector Angle-Based Selection.

Chen-Yu Lee, Jia-Fong Yeh, Tsung-Che Chiang

Proceedings of the Genetic and Evolutionary Computing, 2017

2016

Snake game AI: Movement rating functions and evolutionary algorithm-based optimization.

Jia-Fong Yeh, Pei-Hsiu Su, Shi-Heng Huang, Tsung-Che Chiang

Proceedings of the Conference on Technologies and Applications of Artificial Intelligence, 2016