Yen-Chen Lin

According to our database, Yen-Chen Lin authored at least 34 papers between 2016 and 2024.

Collaborative distances:

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

2024

Meta-Learning Traffic Pattern Adaptation for DRL-Based Radio Resource Management.

Yen-Chen Lin, Ya-Chi Hsu, Yu-Jui Chen, Yu-Chun Chang, Jing-Yun Fang, Chih-Wei Huang

Proceedings of the IEEE International Conference on Communications Workshops, 2024

2023

View Synthesis for Visuomotor Policy Learning

Yen-Chen Lin

PhD thesis, 2023

Shelving, Stacking, Hanging: Relational Pose Diffusion for Multi-modal Rearrangement.

Anthony Simeonov, Ankit Goyal, Lucas Manuelli, Yen-Chen Lin, Alina Sarmiento, Alberto Rodriguez, Pulkit Agrawal, Dieter Fox

CoRR, 2023

Vision Transformer for NeRF-Based View Synthesis from a Single Input Image.

Kai-En Lin, Yen-Chen Lin, Wei-Sheng Lai, Tsung-Yi Lin, Yi-Chang Shih, Ravi Ramamoorthi

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Reinforcement Learning-Based Grant-Free Mode Selection for O-RAN Systems.

Hao-Wei Hsu, Yen-Chen Lin, Chih-Wei Huang, Phone Lin, Shun-Ren Yang

Proceedings of the International Wireless Communications and Mobile Computing, 2023

Shelving, Stacking, Hanging: Relational Pose Diffusion for Multi-modal Rearrangement.

Anthony Simeonov, Ankit Goyal, Lucas Manuelli, Yen-Chen Lin, Alina Sarmiento, Alberto Rodriguez Garcia, Pulkit Agrawal, Dieter Fox

Proceedings of the Conference on Robot Learning, 2023

2022

SE(3)-Equivariant Relational Rearrangement with Neural Descriptor Fields.

Anthony Simeonov, Yilun Du, Yen-Chen Lin, Alberto Rodriguez, Leslie Pack Kaelbling, Tomás Lozano-Pérez, Pulkit Agrawal

CoRR, 2022

Developing a Series of AI Challenges for the United States Department of the Air Force.

Vijay Gadepally, Gregory Angelides, Andrei Barbu, Andrew Bowne, Laura J. Brattain, Tamara Broderick, Armando Cabrera, Glenn Carl, Ronisha Carter, Miriam Cha, Emilie Cowen, Jesse Cummings, Bill Freeman, James R. Glass, Sam Goldberg, Mark Hamilton, Thomas Heldt, Kuan Wei Huang, Phillip Isola, Boris Katz, Jamie Koerner, Yen-Chen Lin, David Mayo, Kyle McAlpin, Taylor Perron, Jean E. Piou, Hrishikesh M. Rao, Hayley Reynolds, Kaira Samuel, Siddharth Samsi, Morgan Schmidt, Leslie Shing, Olga Simek, Brandon Swenson, Vivienne Sze, Jonathan Taylor, Paul Tylkin, Mark Veillette, Matthew L. Weiss, Allan B. Wollaber, Sophia Yuditskaya, Jeremy Kepner

CoRR, 2022

MultiEarth 2022 - Multimodal Learning for Earth and Environment Workshop and Challenge.

Miriam Cha, Kuan Wei Huang, Morgan Schmidt, Gregory Angelides, Mark Hamilton, Sam Goldberg, Armando Cabrera, Phillip Isola, Taylor Perron, Bill Freeman, Yen-Chen Lin, Brandon Swenson, Jean E. Piou

CoRR, 2022

NeRF-Supervision: Learning Dense Object Descriptors from Neural Radiance Fields.

Yen-Chen Lin, Pete Florence, Jonathan T. Barron, Tsung-Yi Lin, Alberto Rodriguez Garcia, Phillip Isola

CoRR, 2022

Offline Multi-Agent Reinforcement Learning with Knowledge Distillation.

Wei-Cheng Tseng, Tsun-Hsuan Johnson Wang, Yen-Chen Lin, Phillip Isola

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

CLA-NeRF: Category-Level Articulated Neural Radiance Field.

Wei-Cheng Tseng, Hung-Ju Liao, Yen-Chen Lin, Min Sun

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

NeRF-Supervision: Learning Dense Object Descriptors from Neural Radiance Fields.

Yen-Chen Lin, Pete Florence, Jonathan T. Barron, Tsung-Yi Lin, Alberto Rodriguez, Phillip Isola

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

Topological Experience Replay.

Zhang-Wei Hong, Tao Chen, Yen-Chen Lin, Joni Pajarinen, Pulkit Agrawal

Proceedings of the Tenth International Conference on Learning Representations, 2022

SE(3)-Equivariant Relational Rearrangement with Neural Descriptor Fields.

Anthony Simeonov, Yilun Du, Yen-Chen Lin, Alberto Rodriguez Garcia, Leslie Pack Kaelbling, Tomás Lozano-Pérez, Pulkit Agrawal

Proceedings of the Conference on Robot Learning, 2022

MIRA: Mental Imagery for Robotic Affordances.

Yen-Chen Lin, Pete Florence, Andy Zeng, Jonathan T. Barron, Yilun Du, Wei-Chiu Ma, Anthony Simeonov, Alberto Rodriguez Garcia, Phillip Isola

Proceedings of the Conference on Robot Learning, 2022

2021

Neural Volume Rendering: NeRF And Beyond.

Frank Dellaert, Yen-Chen Lin

CoRR, 2021

iNeRF: Inverting Neural Radiance Fields for Pose Estimation.

Yen-Chen Lin, Pete Florence, Jonathan T. Barron, Alberto Rodriguez, Phillip Isola, Tsung-Yi Lin

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

2020

iNeRF: Inverting Neural Radiance Fields for Pose Estimation.

Yen-Chen Lin, Pete Florence, Jonathan T. Barron, Alberto Rodriguez Garcia, Phillip Isola, Tsung-Yi Lin

CoRR, 2020

Debiased Contrastive Learning.

Ching-Yao Chuang, Joshua Robinson, Yen-Chen Lin, Antonio Torralba, Stefanie Jegelka

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Learning to See before Learning to Act: Visual Pre-training for Manipulation.

Yen-Chen Lin, Andy Zeng, Shuran Song, Phillip Isola, Tsung-Yi Lin

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

2019

Jointly Learnable Behavior and Trajectory Planning for Self-Driving Vehicles.

Abbas Sadat, Mengye Ren, Andrei Pokrovsky, Yen-Chen Lin, Ersin Yumer, Raquel Urtasun

Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

Omnipush: accurate, diverse, real-world dataset of pushing dynamics with RGB-D video.

Maria Bauzá, Ferran Alet, Yen-Chen Lin, Tomás Lozano-Pérez, Leslie Pack Kaelbling, Phillip Isola, Alberto Rodriguez

Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

Experience-Embedded Visual Foresight.

Yen-Chen Lin, Maria Bauzá, Phillip Isola

Proceedings of the 3rd Annual Conference on Robot Learning, 2019

Connecting the Digital and Physical World: Improving the Robustness of Adversarial Attacks.

Steve T. K. Jan, Joseph Messou, Yen-Chen Lin, Jia-Bin Huang, Gang Wang

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2017

Semantic Highlight Retrieval and Term Prediction.

Min Sun, Kuo-Hao Zeng, Yen-Chen Lin, Ali Farhadi

IEEE Trans. Image Process., 2017

Detecting Adversarial Attacks on Neural Network Policies with Visual Foresight.

Yen-Chen Lin, Ming-Yu Liu, Min Sun, Jia-Bin Huang

CoRR, 2017

Deep 360 Pilot: Learning a Deep Agent for Piloting through 360° Sports Video.

Hou-Ning Hu, Yen-Chen Lin, Ming-Yu Liu, Hsien-Tzu Cheng, Yung-Ju Chang, Min Sun

CoRR, 2017

A 1.5-Gb/s equalizer with adaptive swing controller for TFT-LCD driver.

Yen-Chen Lin, Ching-Yuan Yang, James Chang

Proceedings of the International SoC Design Conference, 2017

Tactics of Adversarial Attack on Deep Reinforcement Learning Agents.

Yen-Chen Lin, Zhang-Wei Hong, Yuan-Hong Liao, Meng-Li Shih, Ming-Yu Liu, Min Sun

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Deep 360 Pilot: Learning a Deep Agent for Piloting through 360° Sports Videos.

Hou-Ning Hu, Yen-Chen Lin, Ming-Yu Liu, Hsien-Tzu Cheng, Yung-Ju Chang, Min Sun

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Tell Me Where to Look: Investigating Ways for Assisting Focus in 360° Video.

Yen-Chen Lin, Yung-Ju Chang, Hou-Ning Hu, Hsien-Tzu Cheng, Chi-Wen Huang, Min Sun

Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems, 2017

2016

Optimizing Cloud-Based Video Crowdsensing.

Hua-Jun Hong, Ching-Ling Fan, Yen-Chen Lin, Cheng-Hsin Hsu

IEEE Internet Things J., 2016

Semantic highlight retrieval.

Kuo-Hao Zeng, Yen-Chen Lin, Ali Farhadi, Min Sun

Proceedings of the 2016 IEEE International Conference on Image Processing, 2016