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2020 – today
- 2022
[j8]Lei Ji, Rong-Cheng Tu, Kevin Lin, Lijuan Wang, Nan Duan:
Multimodal graph neural network for video procedural captioning. Neurocomputing 488: 88-96 (2022)- [c43]Sheng Liu, Kevin Lin, Lijuan Wang, Junsong Yuan, Zicheng Liu:
OVIS: Open-Vocabulary Visual Instance Search via Visual-Semantic Aligned Representation Learning. AAAI 2022: 1773-1781 - [c42]Kevin Lin, Linjie Li, Chung-Ching Lin, Faisal Ahmed, Zhe Gan, Zicheng Liu, Yumao Lu, Lijuan Wang:
SwinBERT: End-to-End Transformers with Sparse Attention for Video Captioning. CVPR 2022: 17928-17937 - [c41]Chung-Ching Lin, Kevin Lin, Lijuan Wang, Zicheng Liu, Linjie Li:
Crossmodal Representation Learning for Zero-shot Action Recognition. CVPR 2022: 19946-19956 - [c40]Kevin Lin:
CS Education for the Socially-Just Worlds We Need: The Case for Justice-Centered Approaches to CS in Higher Education. SIGCSE (1) 2022: 265-271 - [c39]Kathi Fisler, Sorelle A. Friedler, Kevin Lin, Suresh Venkatasubramanian:
Approaches for Weaving Responsible Computing into Data Structures and Algorithms Courses. SIGCSE (2) 2022: 1049-1050 - [c38]Leah Perlmutter, Jayne Everson, Ken Yasuhara, Brett Wortzman, Kevin Lin:
Reading Between the Lines: Student Experiences of Resubmission in an Introductory CS Course. SIGCSE (2) 2022: 1137 - [i34]Chung-Ching Lin, Kevin Lin, Linjie Li, Lijuan Wang, Zicheng Liu:
Cross-modal Representation Learning for Zero-shot Action Recognition. CoRR abs/2205.01657 (2022) - [i33]Jianfeng Wang, Zhengyuan Yang, Xiaowei Hu, Linjie Li, Kevin Lin, Zhe Gan, Zicheng Liu, Ce Liu, Lijuan Wang:
GIT: A Generative Image-to-text Transformer for Vision and Language. CoRR abs/2205.14100 (2022) - [i32]Linjie Li, Zhe Gan, Kevin Lin, Chung-Ching Lin, Zicheng Liu, Ce Liu, Lijuan Wang:
LAVENDER: Unifying Video-Language Understanding as Masked Language Modeling. CoRR abs/2206.07160 (2022) - [i31]Tsu-Jui Fu, Linjie Li, Zhe Gan, Kevin Lin, William Yang Wang, Lijuan Wang, Zicheng Liu:
An Empirical Study of End-to-End Video-Language Transformers with Masked Visual Modeling. CoRR abs/2209.01540 (2022) - [i30]Kevin Lin, Chung-Ching Lin, Lin Liang, Zicheng Liu, Lijuan Wang:
MPT: Mesh Pre-Training with Transformers for Human Pose and Mesh Reconstruction. CoRR abs/2211.13357 (2022) - [i29]Zhengyuan Yang, Jianfeng Wang, Zhe Gan, Linjie Li, Kevin Lin, Chenfei Wu, Nan Duan, Zicheng Liu, Ce Liu, Michael Zeng, Lijuan Wang:
ReCo: Region-Controlled Text-to-Image Generation. CoRR abs/2211.15518 (2022) - 2021
- [j7]Kevin Lin
, Lijuan Wang, Kun Luo, Yinpeng Chen, Zicheng Liu, Ming-Ting Sun:
Cross-Domain Complementary Learning Using Pose for Multi-Person Part Segmentation. IEEE Trans. Circuits Syst. Video Technol. 31(3): 1066-1078 (2021) - [c37]Xiaowei Hu, Xi Yin, Kevin Lin, Lei Zhang, Jianfeng Gao, Lijuan Wang, Zicheng Liu:
VIVO: Visual Vocabulary Pre-Training for Novel Object Captioning. AAAI 2021: 1575-1583 - [c36]Kevin Lin, Lijuan Wang, Zicheng Liu:
End-to-End Human Pose and Mesh Reconstruction with Transformers. CVPR 2021: 1954-1963 - [c35]Kevin Lin, Ming Qian:
KLSI Methods for Human Simultaneous Interpretation and Towards Building a Simultaneous Machine Translation System Reflecting the KLSI Methods. HCI (36) 2021: 394-412 - [c34]Kevin Lin, Lijuan Wang, Zicheng Liu:
Mesh Graphormer. ICCV 2021: 12919-12928 - [c33]Kevin Lin, Lijuan Wang, Ying Jin, Zicheng Liu, Ming-Ting Sun:
Learning Nonparametric Human Mesh Reconstruction From A Single Image Without Ground Truth Meshes. ICIP 2021: 964-968 - [c32]Catherine Chen, Kevin Lin, Dan Klein:
Constructing Taxonomies from Pretrained Language Models. NAACL-HLT 2021: 4687-4700 - [c31]Kevin Lin:
Do Abstractions Have Politics? Toward a More Critical Algorithm Analysis. RESPECT 2021: 1-5 - [c30]Kevin Lin, Sumant Guha, Joe Spaniac, Andy Zheng:
Nifty Web Apps: Build a Web App for Any Text-Based Programming Assignment. SIGCSE 2021: 1236-1237 - [c29]Kevin Lin, Lina Battestilli, Michael Ball:
Strategies for Authentic Assessments of Mastery in CS Courses. SIGCSE 2021: 1361 - [c28]Kevin Lin, Kristin Stephens-Martinez, Brian P. Railing:
How Can We Make Office Hours Better? SIGCSE 2021: 1363 - [i28]Kevin Lin:
Do Abstractions Have Politics? Towards a More Critical Algorithm Analysis. CoRR abs/2101.00786 (2021) - [i27]Kevin Lin, Lijuan Wang, Zicheng Liu:
Mesh Graphormer. CoRR abs/2104.00272 (2021) - [i26]Sheng Liu, Kevin Lin, Lijuan Wang, Junsong Yuan, Zicheng Liu:
OVIS: Open-Vocabulary Visual Instance Search via Visual-Semantic Aligned Representation Learning. CoRR abs/2108.03704 (2021) - [i25]Kevin Lin:
CS Education for the Socially-Just Worlds We Need: The Case for Justice-Centered Approaches to CS in Higher Education. CoRR abs/2109.13283 (2021) - [i24]Tsu-Jui Fu, Linjie Li, Zhe Gan, Kevin Lin, William Yang Wang, Lijuan Wang, Zicheng Liu:
VIOLET : End-to-End Video-Language Transformers with Masked Visual-token Modeling. CoRR abs/2111.12681 (2021) - [i23]Kevin Lin, Linjie Li, Chung-Ching Lin, Faisal Ahmed, Zhe Gan, Zicheng Liu, Yumao Lu, Lijuan Wang:
SwinBERT: End-to-End Transformers with Sparse Attention for Video Captioning. CoRR abs/2111.13196 (2021) - [i22]Kevin Lin, Brian Huo, Megan Hu:
Combining optimal control and learning for autonomous aerial navigation in novel indoor environments. CoRR abs/2112.03554 (2021) - 2020
- [j6]Ling Xiao, Gurjeet Dhesi, Eduard Gabriel Ceptureanu, Kevin Lin, Claudiu Herteliu, Babar Syed, Sebastian Ion Ceptureanu:
Liquidity transmission and the subprime mortgage crisis: a multivariate GARCH approach. Soft Comput. 24(18): 13871-13878 (2020) - [j5]Huei-Fang Yang, Kevin Lin, Ting-Yen Chen, Chu-Song Chen:
Cross-Batch Reference Learning for Deep Retrieval. IEEE Trans. Neural Networks Learn. Syst. 31(9): 3145-3158 (2020) - [c27]Kevin Lin, Ming-Yu Liu, Ming-Ting Sun, Jan Kautz:
Learning to Generate Multiple Style Transfer Outputs for an Input Sentence. NGT@ACL 2020: 10-23 - [c26]Matt Gardner, Yoav Artzi, Victoria Basmova, Jonathan Berant, Ben Bogin, Sihao Chen, Pradeep Dasigi, Dheeru Dua, Yanai Elazar, Ananth Gottumukkala, Nitish Gupta, Hannaneh Hajishirzi, Gabriel Ilharco, Daniel Khashabi, Kevin Lin, Jiangming Liu, Nelson F. Liu, Phoebe Mulcaire, Qiang Ning, Sameer Singh, Noah A. Smith, Sanjay Subramanian, Reut Tsarfaty, Eric Wallace, Ally Zhang, Ben Zhou:
Evaluating Models' Local Decision Boundaries via Contrast Sets. EMNLP (Findings) 2020: 1307-1323 - [c25]Nitish Gupta, Kevin Lin, Dan Roth, Sameer Singh, Matt Gardner:
Neural Module Networks for Reasoning over Text. ICLR 2020 - [c24]Zhuohan Li, Eric Wallace, Sheng Shen, Kevin Lin, Kurt Keutzer, Dan Klein, Joey Gonzalez:
Train Big, Then Compress: Rethinking Model Size for Efficient Training and Inference of Transformers. ICML 2020: 5958-5968 - [c23]Dan Garcia, Jim Huggins, Kevin Lin, Raja Sooriamurthi, Leo C. Ureel, Ursula Wolz:
It Seemed Like a Good Idea at the Time (Hindsight is 2020). SIGCSE 2020: 637-638 - [c22]Jamie Payton, Adam Blank, Christian Murphy, Melissa Hovik, Kevin Lin, Angela Kwon, Lara McConnaughey:
Perspectives on Allyship in Academia. SIGCSE 2020: 1262-1263 - [c21]Kevin Lin, Brian P. Railing:
How Can We Make Office Hours Better? SIGCSE 2020: 1400 - [c20]Kevin Lin:
Transitioning From Peer Instruction to POGIL with Guided Lecture Notes. SIGCSE 2020: 1411 - [i21]Kevin Lin, Ming-Yu Liu, Ming-Ting Sun, Jan Kautz:
Learning to Generate Multiple Style Transfer Outputs for an Input Sentence. CoRR abs/2002.06525 (2020) - [i20]Zhuohan Li, Eric Wallace, Sheng Shen, Kevin Lin, Kurt Keutzer, Dan Klein, Joseph E. Gonzalez:
Train Large, Then Compress: Rethinking Model Size for Efficient Training and Inference of Transformers. CoRR abs/2002.11794 (2020) - [i19]Kevin Lin, Lijuan Wang, Ying Jin, Zicheng Liu, Ming-Ting Sun:
Learning Nonparametric Human Mesh Reconstruction from a Single Image without Ground Truth Meshes. CoRR abs/2003.00052 (2020) - [i18]Matt Gardner, Yoav Artzi, Victoria Basmova, Jonathan Berant, Ben Bogin, Sihao Chen, Pradeep Dasigi, Dheeru Dua, Yanai Elazar, Ananth Gottumukkala, Nitish Gupta, Hanna Hajishirzi, Gabriel Ilharco, Daniel Khashabi, Kevin Lin, Jiangming Liu, Nelson F. Liu, Phoebe Mulcaire, Qiang Ning, Sameer Singh, Noah A. Smith, Sanjay Subramanian, Reut Tsarfaty, Eric Wallace, Ally Zhang, Ben Zhou:
Evaluating NLP Models via Contrast Sets. CoRR abs/2004.02709 (2020) - [i17]Kevin Lin:
A Berkeley View of Teaching CS at Scale. CoRR abs/2005.07081 (2020) - [i16]Xiaowei Hu, Xi Yin, Kevin Lin, Lijuan Wang, Lei Zhang, Jianfeng Gao, Zicheng Liu:
VIVO: Surpassing Human Performance in Novel Object Captioning with Visual Vocabulary Pre-Training. CoRR abs/2009.13682 (2020) - [i15]Kevin Lin, Sumant Guha, Joe Spaniac, Andy Zheng:
Nifty Web Apps: Build a Web App for Any Text-Based Programming Assignment. CoRR abs/2010.04671 (2020) - [i14]Catherine Chen, Kevin Lin, Dan Klein:
Inducing Taxonomic Knowledge from Pretrained Transformers. CoRR abs/2010.12813 (2020) - [i13]Kevin Lin, Lijuan Wang, Zicheng Liu:
End-to-End Human Pose and Mesh Reconstruction with Transformers. CoRR abs/2012.09760 (2020)
2010 – 2019
- 2019
- [j4]Kevin Lin, Jiwen Lu, Chu-Song Chen, Jie Zhou, Ming-Ting Sun:
Unsupervised Deep Learning of Compact Binary Descriptors. IEEE Trans. Pattern Anal. Mach. Intell. 41(6): 1501-1514 (2019) - [c19]Kevin Lin, Oyvind Tafjord, Peter Clark, Matt Gardner:
Reasoning Over Paragraph Effects in Situations. MRQA@EMNLP 2019: 58-62 - [c18]Oyvind Tafjord, Matt Gardner, Kevin Lin, Peter Clark:
QuaRTz: An Open-Domain Dataset of Qualitative Relationship Questions. EMNLP/IJCNLP (1) 2019: 5940-5945 - [c17]Kevin Lin, Fan Yang, Qiaosong Wang, Robinson Piramuthu:
Adversarial Learning for Fine-Grained Image Search. ICME 2019: 490-495 - [c16]Kevin Lin, David DeLiema:
Subgoals, Problem Solving Phases, and Sources of Knowledge. SIGCSE 2019: 1292 - [c15]Thibault Sellam, Kevin Lin, Ian Yiran Huang, Michelle Yang, Carl Vondrick, Eugene Wu:
DeepBase: Deep Inspection of Neural Networks. SIGMOD Conference 2019: 1117-1134 - [i12]Kevin Lin, David DeLiema:
Subgoals, Problem Solving Phases, and Sources of Knowledge: A Complex Mangle. CoRR abs/1901.01465 (2019) - [i11]Kevin Lin, Ben Bogin, Mark Neumann, Jonathan Berant, Matt Gardner:
Grammar-based Neural Text-to-SQL Generation. CoRR abs/1905.13326 (2019) - [i10]Kevin Lin, Lijuan Wang, Kun Luo, Yinpeng Chen, Zicheng Liu, Ming-Ting Sun:
Cross-Domain Complementary Learning with Synthetic Data for Multi-Person Part Segmentation. CoRR abs/1907.05193 (2019) - [i9]Kevin Lin, Oyvind Tafjord, Peter Clark, Matt Gardner:
Reasoning Over Paragraph Effects in Situations. CoRR abs/1908.05852 (2019) - [i8]Oyvind Tafjord, Matt Gardner, Kevin Lin, Peter Clark:
QuaRTz: An Open-Domain Dataset of Qualitative Relationship Questions. CoRR abs/1909.03553 (2019) - [i7]Nitish Gupta, Kevin Lin, Dan Roth, Sameer Singh, Matt Gardner:
Neural Module Networks for Reasoning over Text. CoRR abs/1912.04971 (2019) - 2018
- [j3]Huei-Fang Yang, Kevin Lin, Chu-Song Chen:
Supervised Learning of Semantics-Preserving Hash via Deep Convolutional Neural Networks. IEEE Trans. Pattern Anal. Mach. Intell. 40(2): 437-451 (2018) - [i6]Kevin Lin, Fan Yang, Qiaosong Wang, Robinson Piramuthu:
Adversarial Learning for Fine-grained Image Search. CoRR abs/1807.02247 (2018) - [i5]Thibault Sellam, Kevin Lin, Ian Yiran Huang, Michelle Yang, Carl Vondrick, Eugene Wu:
DeepBase: Deep Inspection of Neural Networks. CoRR abs/1808.04486 (2018) - 2017
- [c14]Kevin Lin, Dianqi Li, Xiaodong He, Ming-Ting Sun, Zhengyou Zhang:
Adversarial Ranking for Language Generation. NIPS 2017: 3155-3165 - [c13]Kevin Lin, James Sharpnack, Alessandro Rinaldo, Ryan J. Tibshirani:
A Sharp Error Analysis for the Fused Lasso, with Application to Approximate Changepoint Screening. NIPS 2017: 6884-6893 - [i4]Hamed Nilforoshan, James Sands, Kevin Lin, Rahul Khanna, Eugene Wu:
Dialectic: Enhancing Text Input Fields with Automatic Feedback to Improve Social Content Writing Quality. CoRR abs/1701.06718 (2017) - [i3]Kevin Lin, Dianqi Li, Xiaodong He, Zhengyou Zhang, Ming-Ting Sun:
Adversarial Ranking for Language Generation. CoRR abs/1705.11001 (2017) - 2016
- [j2]Robert J. Vanderbei, Kevin Lin, Han Liu, Lie Wang:
Revisiting compressed sensing: exploiting the efficiency of simplex and sparsification methods. Math. Program. Comput. 8(3): 253-269 (2016) - [c12]Kevin Lin, Jiwen Lu, Chu-Song Chen, Jie Zhou:
Learning Compact Binary Descriptors with Unsupervised Deep Neural Networks. CVPR 2016: 1183-1192 - [c11]Huei-Fang Yang, Kevin Lin, Chu-Song Chen:
Cross-batch Reference Learning for Deep Classification and Retrieval. ACM Multimedia 2016: 1237-1246 - 2015
- [j1]Kevin Lin, Shen-Chi Chen, Chu-Song Chen, Daw-Tung Lin, Yi-Ping Hung:
Abandoned Object Detection via Temporal Consistency Modeling and Back-Tracing Verification for Visual Surveillance. IEEE Trans. Inf. Forensics Secur. 10(7): 1359-1370 (2015) - [c10]Kevin Lin, Huei-Fang Yang, Jen-Hao Hsiao, Chu-Song Chen:
Deep learning of binary hash codes for fast image retrieval. CVPR Workshops 2015: 27-35 - [c9]Shen-Chi Chen, Kevin Lin, Chu-Song Chen, Yi-Ping Hung:
Location-aware object detection via coherent region grouping. ICASSP 2015: 1290-1294 - [c8]Kevin Lin, Huei-Fang Yang, Kuan-Hsien Liu, Jen-Hao Hsiao, Chu-Song Chen:
Rapid Clothing Retrieval via Deep Learning of Binary Codes and Hierarchical Search. ICMR 2015: 499-502 - [i2]Huei-Fang Yang, Kevin Lin, Chu-Song Chen:
Supervised Learning of Semantics-Preserving Hashing via Deep Neural Networks for Large-Scale Image Search. CoRR abs/1507.00101 (2015) - 2014
- [c7]Phong Nguyen, Pushpika Wijesinghe, Rajitha Palipana, Kevin Lin, Dobrica Vasic:
Network-assisted device discovery for LTE-based D2D communication systems. ICC 2014: 3160-3165 - [c6]Kevin Lin, Shen-Chi Chen, Chu-Song Chen, Daw-Tung Lin, Yi-Ping Hung:
Left-Luggage Detection from Finite-State-Machine Analysis in Static-Camera Videos. ICPR 2014: 4600-4605 - [c5]Kuan-Wen Chen, Shen-Chi Chen, Kevin Lin, Ming-Hsuan Yang, Chu-Song Chen, Yi-Ping Hung:
Object Detection for Neighbor Map Construction in an IoV System. iThings/GreenCom/CPSCom 2014: 300-303 - [c4]Chenqi Wang, Kevin Lin, Yi-Ping Hung:
Face Verification using LBP Feature and Clustering. VISAPP (1) 2014: 572-578 - 2013
- [c3]Shen-Chi Chen, Kevin Lin, Shih-Yao Lin, Kuan-Wen Chen, Chih-Wei Lin, Chu-Song Chen, Yi-Ping Hung:
Target-driven video summarization in a camera network. ICIP 2013: 3577-3581 - [c2]Shen-Chi Chen, Chia-Wei Hsu, Shih-Yao Lin, Kevin Lin, Yi-Ping Hung:
Teleport: space navigation by detecting the self-motion of a mobile device. SIGGRAPH ASIA Posters 2013: 6 - [i1]Robert J. Vanderbei, Han Liu, Lie Wang, Kevin Lin:
Optimization for Compressed Sensing: the Simplex Method and Kronecker Sparsification. CoRR abs/1312.4426 (2013) - 2011
- [c1]Kevin Lin, Mon-Chau Shie:
Biologically inspired 3D trajectory prediction system using a moth flight-to-light tracking model. ICSIPA 2011: 66-71
Coauthor Index
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last updated on 2022-12-29 21:18 CET by the dblp team
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