Fu-Jen Chu

According to our database, Fu-Jen Chu authored at least 24 papers between 2015 and 2024.

Collaborative distances:

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

2024

OmniPose6D: Towards Short-Term Object Pose Tracking in Dynamic Scenes from Monocular RGB.

Yunzhi Lin, Yipu Zhao, Fu-Jen Chu, Xingyu Chen, Weiyao Wang, Hao Tang, Patricio A. Vela, Matt Feiszli, Kevin J. Liang

CoRR, 2024

Propose, Assess, Search: Harnessing LLMs for Goal-Oriented Planning in Instructional Videos.

Md Mohaiminul Islam, Tushar Nagarajan, Huiyu Wang, Fu-Jen Chu, Kris Kitani, Gedas Bertasius, Xitong Yang

CoRR, 2024

Unlocking Exocentric Video-Language Data for Egocentric Video Representation Learning.

Zi-Yi Dou, Xitong Yang, Tushar Nagarajan, Huiyu Wang, Jing Huang, Nanyun Peng, Kris Kitani, Fu-Jen Chu

CoRR, 2024

HyperMix: Out-of-Distribution Detection and Classification in Few-Shot Settings.

Nikhil Mehta, Kevin J. Liang, Jing Huang, Fu-Jen Chu, Li Yin, Tal Hassner

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

EgoSG: Learning 3D Scene Graphs from Egocentric RGB-D Sequences.

Chaoyi Zhang, Xitong Yang, Ji Hou, Kris Kitani, Weidong Cai, Fu-Jen Chu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Ego-Exo4D: Understanding Skilled Human Activity from First- and Third-Person Perspectives.

Kristen Grauman, Andrew Westbury, Lorenzo Torresani, Kris Kitani, Jitendra Malik, Triantafyllos Afouras, Kumar Ashutosh, Vijay Baiyya, Siddhant Bansal, Bikram Boote, Eugene Byrne, Zachary Chavis, Joya Chen, Feng Cheng, Fu-Jen Chu, Sean Crane, Avijit Dasgupta, Jing Dong, María Escobar, Cristhian Forigua, Abrham Gebreselasie, Sanjay Haresh, Jing Huang, Md Mohaiminul Islam, Suyog Dutt Jain, Rawal Khirodkar, Devansh Kukreja, Kevin J. Liang, Jia-Wei Liu, Sagnik Majumder, Yongsen Mao, Miguel Martin, Effrosyni Mavroudi, Tushar Nagarajan, Francesco Ragusa, Santhosh Kumar Ramakrishnan, Luigi Seminara, Arjun Somayazulu, Yale Song, Shan Su, Zihui Xue, Edward Zhang, Jinxu Zhang, Angela Castillo, Changan Chen, Xinzhu Fu, Ryosuke Furuta, Cristina González, Prince Gupta, Jiabo Hu, Yifei Huang, Yiming Huang, Weslie Khoo, Anush Kumar, Robert Kuo, Sach Lakhavani, Miao Liu, Mi Luo, Zhengyi Luo, Brighid Meredith, Austin Miller, Oluwatumininu Oguntola, Xiaqing Pan, Penny Peng, Shraman Pramanick, Merey Ramazanova, Fiona Ryan, Wei Shan, Kiran Somasundaram, Chenan Song, Audrey Southerland, Masatoshi Tateno, Huiyu Wang, Yuchen Wang, Takuma Yagi, Mingfei Yan, Xitong Yang, Zecheng Yu, Shengxin Cindy Zha, Chen Zhao, Ziwei Zhao, Zhifan Zhu, Jeff Zhuo, Pablo Arbeláez, Gedas Bertasius, Dima Damen, Jakob Engel, Giovanni Maria Farinella, Antonino Furnari, Bernard Ghanem, Judy Hoffman, C. V. Jawahar, Richard A. Newcombe, Hyun Soo Park, James M. Rehg, Yoichi Sato, Manolis Savva, Jianbo Shi, Mike Zheng Shout, Michael Wray

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Ego-Exo4D: Understanding Skilled Human Activity from First- and Third-Person Perspectives.

Kristen Grauman, Andrew Westbury, Lorenzo Torresani, Kris Kitani, Jitendra Malik, Triantafyllos Afouras, Kumar Ashutosh, Vijay Baiyya, Siddhant Bansal, Bikram Boote, Eugene Byrne, Zachary Chavis, Joya Chen, Feng Cheng, Fu-Jen Chu, Sean Crane, Avijit Dasgupta, Jing Dong, María Escobar, Cristhian Forigua, Abrham Gebreselasie, Sanjay Haresh, Jing Huang, Md Mohaiminul Islam, Suyog Dutt Jain, Rawal Khirodkar, Devansh Kukreja, Kevin J. Liang, Jia-Wei Liu, Sagnik Majumder, Yongsen Mao, Miguel Martin, Effrosyni Mavroudi, Tushar Nagarajan, Francesco Ragusa, Santhosh Kumar Ramakrishnan, Luigi Seminara, Arjun Somayazulu, Yale Song, Shan Su, Zihui Xue, Edward Zhang, Jinxu Zhang, Angela Castillo, Changan Chen, Xinzhu Fu, Ryosuke Furuta, Cristina González, Prince Gupta, Jiabo Hu, Yifei Huang, Yiming Huang, Weslie Khoo, et al.

CoRR, 2023

Relational Space-Time Query in Long-Form Videos.

Xitong Yang, Fu-Jen Chu, Matt Feiszli, Raghav Goyal, Lorenzo Torresani, Du Tran

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

GKNet: Grasp keypoint network for grasp candidates detection.

Ruinian Xu, Fu-Jen Chu, Patricio A. Vela

Int. J. Robotics Res., 2022

Primitive Shape Recognition for Object Grasping.

Yunzhi Lin, Chao Tang, Fu-Jen Chu, Ruinian Xu, Patricio A. Vela

CoRR, 2022

2021

An Affordance Keypoint Detection Network for Robot Manipulation.

Ruinian Xu, Fu-Jen Chu, Chao Tang, Weiyu Liu, Patricio A. Vela

IEEE Robotics Autom. Lett., 2021

2020

Improving vision-based robotic manipulation with affordance understanding.

Fu-Jen Chu

PhD thesis, 2020

Using Synthetic Data and Deep Networks to Recognize Primitive Shapes for Object Grasping.

Yunzhi Lin, Chao Tang, Fu-Jen Chu, Patricio A. Vela

Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

2019

Learning Affordance Segmentation for Real-World Robotic Manipulation via Synthetic Images.

Fu-Jen Chu, Ruinian Xu, Patricio A. Vela

IEEE Robotics Autom. Lett., 2019

Toward Affordance Detection and Ranking on Novel Objects for Real-World Robotic Manipulation.

Fu-Jen Chu, Ruinian Xu, Landan Seguin, Patricio A. Vela

IEEE Robotics Autom. Lett., 2019

Detecting Robotic Affordances on Novel Objects with Regional Attention and Attributes.

Fu-Jen Chu, Ruinian Xu, Patricio A. Vela

CoRR, 2019

2018

Real-World Multiobject, Multigrasp Detection.

Fu-Jen Chu, Ruinian Xu, Patricio A. Vela

IEEE Robotics Autom. Lett., 2018

Deep Grasp: Detection and Localization of Grasps with Deep Neural Networks.

Fu-Jen Chu, Ruinian Xu, Patricio A. Vela

CoRR, 2018

The Helping Hand: An Assistive Manipulation Framework Using Augmented Reality and a Tongue-Drive.

Fu-Jen Chu, Ruinian Xu, Zhenxuan Zhang, Patricio A. Vela, Maysam Ghovanloo

CoRR, 2018

Learning to Navigate: Exploiting Deep Networks to Inform Sample-Based Planning During Vision-Based Navigation.

Justin S. Smith, Jin-Ha Hwang, Fu-Jen Chu, Patricio A. Vela

CoRR, 2018

Hands-Free Assistive Manipulator Using Augmented Reality and Tongue Drive System.

Fu-Jen Chu, Ruinian Xu, Zhenxuan Zhang, Patricio A. Vela, Maysam Ghovanloo

Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018

The Helping Hand: An Assistive Manipulation Framework Using Augmented Reality and Tongue-Drive Interfaces.

Fu-Jen Chu, Ruinian Xu, Zhenxuan Zhang, Patricio A. Vela, Maysam Ghovanloo

Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

2015

When crowdsourcing meets mobile sensing: a social network perspective.

Pin-Yu Chen, Shin-Ming Cheng, Pai-Shun Ting, Chia-Wei Lien, Fu-Jen Chu

IEEE Commun. Mag., 2015

Supervised Collective Classification for Crowdsourcing.

Pin-Yu Chen, Chia-Wei Lien, Fu-Jen Chu, Pai-Shun Ting, Shin-Ming Cheng

Proceedings of the 2015 IEEE Globecom Workshops, San Diego, CA, USA, December 6-10, 2015, 2015