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2020 – today
- 2024
[c23]Yen-Chen Lin, Ya-Chi Hsu, Yu-Jui Chen, Yu-Chun Chang, Jing-Yun Fang, Chih-Wei Huang:
Meta-Learning Traffic Pattern Adaptation for DRL-Based Radio Resource Management. ICC Workshops 2024: 227-232- 2023
- [b1]Yen-Chen Lin:
View Synthesis for Visuomotor Policy Learning. MIT, USA, 2023 - [c22]Anthony Simeonov, Ankit Goyal, Lucas Manuelli, Yen-Chen Lin, Alina Sarmiento, Alberto Rodriguez Garcia, Pulkit Agrawal, Dieter Fox:
Shelving, Stacking, Hanging: Relational Pose Diffusion for Multi-modal Rearrangement. CoRL 2023: 2030-2069 - [c21]Hao-Wei Hsu, Yen-Chen Lin, Chih-Wei Huang, Phone Lin, Shun-Ren Yang:
Reinforcement Learning-Based Grant-Free Mode Selection for O-RAN Systems. IWCMC 2023: 1002-1007 - [c20]Kai-En Lin, Yen-Chen Lin, Wei-Sheng Lai, Tsung-Yi Lin, Yi-Chang Shih, Ravi Ramamoorthi:
Vision Transformer for NeRF-Based View Synthesis from a Single Input Image. WACV 2023: 806-815 - [i19]Anthony Simeonov, Ankit Goyal, Lucas Manuelli, Yen-Chen Lin, Alina Sarmiento, Alberto Rodriguez, Pulkit Agrawal, Dieter Fox:
Shelving, Stacking, Hanging: Relational Pose Diffusion for Multi-modal Rearrangement. CoRR abs/2307.04751 (2023) - 2022
- [c19]Anthony Simeonov, Yilun Du, Yen-Chen Lin, Alberto Rodriguez Garcia, Leslie Pack Kaelbling, Tomás Lozano-Pérez, Pulkit Agrawal:
SE(3)-Equivariant Relational Rearrangement with Neural Descriptor Fields. CoRL 2022: 835-846 - [c18]Yen-Chen Lin, Pete Florence, Andy Zeng, Jonathan T. Barron, Yilun Du, Wei-Chiu Ma, Anthony Simeonov, Alberto Rodriguez Garcia, Phillip Isola:
MIRA: Mental Imagery for Robotic Affordances. CoRL 2022: 1916-1927 - [c17]Zhang-Wei Hong, Tao Chen, Yen-Chen Lin, Joni Pajarinen, Pulkit Agrawal:
Topological Experience Replay. ICLR 2022 - [c16]Yen-Chen Lin, Pete Florence, Jonathan T. Barron, Tsung-Yi Lin, Alberto Rodriguez, Phillip Isola:
NeRF-Supervision: Learning Dense Object Descriptors from Neural Radiance Fields. ICRA 2022: 6496-6503 - [c15]Wei-Cheng Tseng, Hung-Ju Liao, Yen-Chen Lin, Min Sun:
CLA-NeRF: Category-Level Articulated Neural Radiance Field. ICRA 2022: 8454-8460 - [c14]Wei-Cheng Tseng, Tsun-Hsuan Johnson Wang, Yen-Chen Lin, Phillip Isola:
Offline Multi-Agent Reinforcement Learning with Knowledge Distillation. NeurIPS 2022 - [i18]Wei-Cheng Tseng, Hung-Ju Liao, Yen-Chen Lin, Min Sun:
CLA-NeRF: Category-Level Articulated Neural Radiance Field. CoRR abs/2202.00181 (2022) - [i17]Yen-Chen Lin, Pete Florence, Jonathan T. Barron, Tsung-Yi Lin, Alberto Rodriguez Garcia, Phillip Isola:
NeRF-Supervision: Learning Dense Object Descriptors from Neural Radiance Fields. CoRR abs/2203.01913 (2022) - [i16]Zhang-Wei Hong, Tao Chen, Yen-Chen Lin, Joni Pajarinen, Pulkit Agrawal:
Topological Experience Replay. CoRR abs/2203.15845 (2022) - [i15]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:
MultiEarth 2022 - Multimodal Learning for Earth and Environment Workshop and Challenge. CoRR abs/2204.07649 (2022) - [i14]Kai-En Lin, Yen-Chen Lin, Wei-Sheng Lai, Tsung-Yi Lin, Yi-Chang Shih, Ravi Ramamoorthi:
Vision Transformer for NeRF-Based View Synthesis from a Single Input Image. CoRR abs/2207.05736 (2022) - [i13]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:
Developing a Series of AI Challenges for the United States Department of the Air Force. CoRR abs/2207.07033 (2022) - [i12]Anthony Simeonov, Yilun Du, Yen-Chen Lin, Alberto Rodriguez, Leslie Pack Kaelbling, Tomás Lozano-Pérez, Pulkit Agrawal:
SE(3)-Equivariant Relational Rearrangement with Neural Descriptor Fields. CoRR abs/2211.09786 (2022) - [i11]Yen-Chen Lin, Pete Florence, Andy Zeng, Jonathan T. Barron, Yilun Du, Wei-Chiu Ma, Anthony Simeonov, Alberto Rodriguez Garcia, Phillip Isola:
MIRA: Mental Imagery for Robotic Affordances. CoRR abs/2212.06088 (2022) - 2021
- [c13]Yen-Chen Lin, Pete Florence, Jonathan T. Barron, Alberto Rodriguez, Phillip Isola, Tsung-Yi Lin:
iNeRF: Inverting Neural Radiance Fields for Pose Estimation. IROS 2021: 1323-1330 - [i10]Frank Dellaert, Yen-Chen Lin:
Neural Volume Rendering: NeRF And Beyond. CoRR abs/2101.05204 (2021) - [i9]Yen-Chen Lin, Andy Zeng, Shuran Song, Phillip Isola, Tsung-Yi Lin:
Learning to See before Learning to Act: Visual Pre-training for Manipulation. CoRR abs/2107.00646 (2021) - 2020
- [c12]Yen-Chen Lin, Andy Zeng, Shuran Song, Phillip Isola, Tsung-Yi Lin:
Learning to See before Learning to Act: Visual Pre-training for Manipulation. ICRA 2020: 7286-7293 - [c11]Ching-Yao Chuang, Joshua Robinson, Yen-Chen Lin, Antonio Torralba, Stefanie Jegelka:
Debiased Contrastive Learning. NeurIPS 2020 - [i8]Ching-Yao Chuang, Joshua Robinson, Yen-Chen Lin, Antonio Torralba, Stefanie Jegelka:
Debiased Contrastive Learning. CoRR abs/2007.00224 (2020) - [i7]Yen-Chen Lin, Pete Florence, Jonathan T. Barron, Alberto Rodriguez Garcia, Phillip Isola, Tsung-Yi Lin:
iNeRF: Inverting Neural Radiance Fields for Pose Estimation. CoRR abs/2012.05877 (2020)
2010 – 2019
- 2019
- [c10]Steve T. K. Jan, Joseph Messou, Yen-Chen Lin, Jia-Bin Huang, Gang Wang:
Connecting the Digital and Physical World: Improving the Robustness of Adversarial Attacks. AAAI 2019: 962-969 - [c9]Yen-Chen Lin, Maria Bauzá, Phillip Isola:
Experience-Embedded Visual Foresight. CoRL 2019: 1015-1024 - [c8]Abbas Sadat, Mengye Ren, Andrei Pokrovsky, Yen-Chen Lin, Ersin Yumer, Raquel Urtasun:
Jointly Learnable Behavior and Trajectory Planning for Self-Driving Vehicles. IROS 2019: 3949-3956 - [c7]Maria Bauzá, Ferran Alet, Yen-Chen Lin, Tomás Lozano-Pérez, Leslie Pack Kaelbling, Phillip Isola, Alberto Rodriguez:
Omnipush: accurate, diverse, real-world dataset of pushing dynamics with RGB-D video. IROS 2019: 4265-4272 - [i6]Maria Bauzá, Ferran Alet, Yen-Chen Lin, Tomás Lozano-Pérez, Leslie Pack Kaelbling, Phillip Isola, Alberto Rodriguez:
Omnipush: accurate, diverse, real-world dataset of pushing dynamics with RGB-D video. CoRR abs/1910.00618 (2019) - [i5]Abbas Sadat, Mengye Ren, Andrei Pokrovsky, Yen-Chen Lin, Ersin Yumer, Raquel Urtasun:
Jointly Learnable Behavior and Trajectory Planning for Self-Driving Vehicles. CoRR abs/1910.04586 (2019) - [i4]Yen-Chen Lin, Maria Bauzá, Phillip Isola:
Experience-Embedded Visual Foresight. CoRR abs/1911.05071 (2019) - 2017
- [j2]Min Sun, Kuo-Hao Zeng, Yen-Chen Lin, Ali Farhadi:
Semantic Highlight Retrieval and Term Prediction. IEEE Trans. Image Process. 26(7): 3303-3316 (2017) - [c6]Yen-Chen Lin, Yung-Ju Chang, Hou-Ning Hu, Hsien-Tzu Cheng, Chi-Wen Huang, Min Sun:
Tell Me Where to Look: Investigating Ways for Assisting Focus in 360° Video. CHI 2017: 2535-2545 - [c5]Hou-Ning Hu, Yen-Chen Lin, Ming-Yu Liu, Hsien-Tzu Cheng, Yung-Ju Chang, Min Sun:
Deep 360 Pilot: Learning a Deep Agent for Piloting through 360° Sports Videos. CVPR 2017: 1396-1405 - [c4]Yen-Chen Lin, Zhang-Wei Hong, Yuan-Hong Liao, Meng-Li Shih, Ming-Yu Liu, Min Sun:
Tactics of Adversarial Attack on Deep Reinforcement Learning Agents. ICLR (Workshop) 2017 - [c3]Yen-Chen Lin, Zhang-Wei Hong, Yuan-Hong Liao, Meng-Li Shih, Ming-Yu Liu, Min Sun:
Tactics of Adversarial Attack on Deep Reinforcement Learning Agents. IJCAI 2017: 3756-3762 - [c2]Yen-Chen Lin, Ching-Yuan Yang, James Chang:
A 1.5-Gb/s equalizer with adaptive swing controller for TFT-LCD driver. ISOCC 2017: 250-251 - [i3]Yen-Chen Lin, Zhang-Wei Hong, Yuan-Hong Liao, Meng-Li Shih, Ming-Yu Liu, Min Sun:
Tactics of Adversarial Attack on Deep Reinforcement Learning Agents. CoRR abs/1703.06748 (2017) - [i2]Hou-Ning Hu, Yen-Chen Lin, Ming-Yu Liu, Hsien-Tzu Cheng, Yung-Ju Chang, Min Sun:
Deep 360 Pilot: Learning a Deep Agent for Piloting through 360° Sports Video. CoRR abs/1705.01759 (2017) - [i1]Yen-Chen Lin, Ming-Yu Liu, Min Sun, Jia-Bin Huang:
Detecting Adversarial Attacks on Neural Network Policies with Visual Foresight. CoRR abs/1710.00814 (2017) - 2016
- [j1]Hua-Jun Hong, Ching-Ling Fan, Yen-Chen Lin, Cheng-Hsin Hsu:
Optimizing Cloud-Based Video Crowdsensing. IEEE Internet Things J. 3(3): 299-313 (2016) - [c1]Kuo-Hao Zeng, Yen-Chen Lin, Ali Farhadi, Min Sun:
Semantic highlight retrieval. ICIP 2016: 3359-3363
Coauthor Index
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last updated on 2024-09-07 02:00 CEST by the dblp team
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