Kevin Lin

According to our database, Kevin Lin authored at least 99 papers between 2011 and 2024.

Collaborative distances:

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

2024

COSMO: COntrastive Streamlined MultimOdal Model with Interleaved Pre-Training.

Alex Jinpeng Wang, Linjie Li, Kevin Qinghong Lin, Jianfeng Wang, Kevin Lin, Zhengyuan Yang, Lijuan Wang, Mike Zheng Shou

CoRR, 2024

MPT: Mesh Pre-Training with Transformers for Human Pose and Mesh Reconstruction.

Kevin Lin, Chung-Ching Lin, Lin Liang, Zicheng Liu, Lijuan Wang

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

"It Can Relate to Real Lives": Attitudes and Expectations in Justice-centered Data Structures & Algorithms for Non-Majors.

Anna Batra, Iris Zhou, Suh Young Choi, Chongjiu Gao, Yanbing Xiao, Sonia Fereidooni, Kevin Lin

Proceedings of the 55th ACM Technical Symposium on Computer Science Education, 2024

2023

Text2Motion: from natural language instructions to feasible plans.

Kevin Lin, Christopher Agia, Toki Migimatsu, Marco Pavone, Jeannette Bohg

Auton. Robots, December, 2023

RALF: Accuracy-Aware Scheduling for Feature Store Maintenance.

Sarah Wooders, Xiangxi Mo, Amit Narang, Kevin Lin, Ion Stoica, Joseph M. Hellerstein, Natacha Crooks, Joseph E. Gonzalez

Proc. VLDB Endow., November, 2023

MetaEx-GAN: Meta Exploration to Improve Natural Language Generation via Generative Adversarial Networks.

Yun-Yen Chuang, Hung-Min Hsu, Kevin Lin, Ray-I Chang, Hung-Yi Lee

IEEE ACM Trans. Audio Speech Lang. Process., 2023

MM-Narrator: Narrating Long-form Videos with Multimodal In-Context Learning.

Chaoyi Zhang, Kevin Lin, Zhengyuan Yang, Jianfeng Wang, Linjie Li, Chung-Ching Lin, Zicheng Liu, Lijuan Wang

CoRR, 2023

GPT-4V in Wonderland: Large Multimodal Models for Zero-Shot Smartphone GUI Navigation.

An Yan, Zhengyuan Yang, Wanrong Zhu, Kevin Lin, Linjie Li, Jianfeng Wang, Jianwei Yang, Yiwu Zhong, Julian J. McAuley, Jianfeng Gao, Zicheng Liu, Lijuan Wang

CoRR, 2023

MM-VID: Advancing Video Understanding with GPT-4V(ision).

Kevin Lin, Faisal Ahmed, Linjie Li, Chung-Ching Lin, Ehsan Azarnasab, Zhengyuan Yang, Jianfeng Wang, Lin Liang, Zicheng Liu, Yumao Lu, Ce Liu, Lijuan Wang

CoRR, 2023

DEsignBench: Exploring and Benchmarking DALL-E 3 for Imagining Visual Design.

Kevin Lin, Zhengyuan Yang, Linjie Li, Jianfeng Wang, Lijuan Wang

CoRR, 2023

MemGPT: Towards LLMs as Operating Systems.

Charles Packer, Vivian Fang, Shishir G. Patil, Kevin Lin, Sarah Wooders, Joseph E. Gonzalez

CoRR, 2023

Idea2Img: Iterative Self-Refinement with GPT-4V(ision) for Automatic Image Design and Generation.

Zhengyuan Yang, Jianfeng Wang, Linjie Li, Kevin Lin, Chung-Ching Lin, Zicheng Liu, Lijuan Wang

CoRR, 2023

OpenLEAF: Open-Domain Interleaved Image-Text Generation and Evaluation.

Jie An, Zhengyuan Yang, Linjie Li, Jianfeng Wang, Kevin Lin, Zicheng Liu, Lijuan Wang, Jiebo Luo

CoRR, 2023

The Dawn of LMMs: Preliminary Explorations with GPT-4V(ision).

Zhengyuan Yang, Linjie Li, Kevin Lin, Jianfeng Wang, Chung-Ching Lin, Zicheng Liu, Lijuan Wang

CoRR, 2023

MM-Vet: Evaluating Large Multimodal Models for Integrated Capabilities.

Weihao Yu, Zhengyuan Yang, Linjie Li, Jianfeng Wang, Kevin Lin, Zicheng Liu, Xinchao Wang, Lijuan Wang

CoRR, 2023

Spatial-Frequency U-Net for Denoising Diffusion Probabilistic Models.

Xin Yuan, Linjie Li, Jianfeng Wang, Zhengyuan Yang, Kevin Lin, Zicheng Liu, Lijuan Wang

CoRR, 2023

Lost in the Middle: How Language Models Use Long Contexts.

Nelson F. Liu, Kevin Lin, John Hewitt, Ashwin Paranjape, Michele Bevilacqua, Fabio Petroni, Percy Liang

CoRR, 2023

DisCo: Disentangled Control for Referring Human Dance Generation in Real World.

Tan Wang, Linjie Li, Kevin Lin, Chung-Ching Lin, Zhengyuan Yang, Hanwang Zhang, Zicheng Liu, Lijuan Wang

CoRR, 2023

Aligning Large Multi-Modal Model with Robust Instruction Tuning.

Fuxiao Liu, Kevin Lin, Linjie Li, Jianfeng Wang, Yaser Yacoob, Lijuan Wang

CoRR, 2023

Partial-View Object View Synthesis via Filtered Inversion.

Fan-Yun Sun, Jonathan Tremblay, Valts Blukis, Kevin Lin, Danfei Xu, Boris Ivanovic, Péter Karkus, Stan Birchfield, Dieter Fox, Ruohan Zhang, Yunzhu Li, Jiajun Wu, Marco Pavone, Nick Haber

CoRR, 2023

MM-REACT: Prompting ChatGPT for Multimodal Reasoning and Action.

Zhengyuan Yang, Linjie Li, Jianfeng Wang, Kevin Lin, Ehsan Azarnasab, Faisal Ahmed, Zicheng Liu, Ce Liu, Michael Zeng, Lijuan Wang

CoRR, 2023

Equitable Grading Best Practices.

Dan Garcia, Maria Camarena, Kevin Lin, Jill Westerlund

Proceedings of the 54th ACM Technical Symposium on Computer Science Education, Volume 2, 2023

Few-Shot Adaptation for Parsing Contextual Utterances with LLMs.

Kevin Lin, Patrick Xia, Hao Fang

Proceedings of the Findings of the Association for Computational Linguistics: IJCNLP-AACL 2023, 2023

Equivariant Similarity for Vision-Language Foundation Models.

Tan Wang, Kevin Lin, Linjie Li, Chung-Ching Lin, Zhengyuan Yang, Hanwang Zhang, Zicheng Liu, Lijuan Wang

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

Uncertainty Quantification for Eosinophil Segmentation.

Kevin Lin, Donald E. Brown, Sana Syed, Adam Greene

Proceedings of the 2023 10th International Conference on Bioinformatics Research and Applications, 2023

An Empirical Study of Multimodal Model Merging.

Yi-Lin Sung, Linjie Li, Kevin Lin, Zhe Gan, Mohit Bansal, Lijuan Wang

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Decomposing Complex Queries for Tip-of-the-tongue Retrieval.

Kevin Lin, Kyle Lo, Joseph Gonzalez, Dan Klein

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

ReCo: Region-Controlled Text-to-Image Generation.

Zhengyuan Yang, Jianfeng Wang, Zhe Gan, Linjie Li, Kevin Lin, Chenfei Wu, Nan Duan, Zicheng Liu, Ce Liu, Michael Zeng, Lijuan Wang

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

Adaptive Human Matting for Dynamic Videos.

Chung-Ching Lin, Jiang Wang, Kun Luo, Kevin Lin, Linjie Li, Lijuan Wang, Zicheng Liu

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

LAVENDER: Unifying Video-Language Understanding as Masked Language Modeling.

Linjie Li, Zhe Gan, Kevin Lin, Chung-Ching Lin, Zicheng Liu, Ce Liu, Lijuan Wang

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

Neural Voting Field for Camera-Space 3D Hand Pose Estimation.

Lin Huang, Chung-Ching Lin, Kevin Lin, Lin Liang, Lijuan Wang, Junsong Yuan, Zicheng Liu

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

An Empirical Study of End-to-End Video-Language Transformers with Masked Visual Modeling.

Tsu-Jui Fu, Linjie Li, Zhe Gan, Kevin Lin, William Yang Wang, Lijuan Wang, Zicheng Liu

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

2022

GIT: A Generative Image-to-text Transformer for Vision and Language.

Jianfeng Wang, Zhengyuan Yang, Xiaowei Hu, Linjie Li, Kevin Lin, Zhe Gan, Zicheng Liu, Ce Liu, Lijuan Wang

Trans. Mach. Learn. Res., 2022

Multimodal graph neural network for video procedural captioning.

Lei Ji, Rong-Cheng Tu, Kevin Lin, Lijuan Wang, Nan Duan

Neurocomputing, 2022

Cross-modal Representation Learning for Zero-shot Action Recognition.

Chung-Ching Lin, Kevin Lin, Linjie Li, Lijuan Wang, Zicheng Liu

CoRR, 2022

Reading Between the Lines: Student Experiences of Resubmission in an Introductory CS Course.

Leah Perlmutter, Jayne Everson, Ken Yasuhara, Brett Wortzman, Kevin Lin

Proceedings of the SIGCSE 2022: The 53rd ACM Technical Symposium on Computer Science Education, 2022

CS Education for the Socially-Just Worlds We Need: The Case for Justice-Centered Approaches to CS in Higher Education.

Kevin Lin

Proceedings of the SIGCSE 2022: The 53rd ACM Technical Symposium on Computer Science Education, 2022

Approaches for Weaving Responsible Computing into Data Structures and Algorithms Courses.

Kathi Fisler, Sorelle A. Friedler, Kevin Lin, Suresh Venkatasubramanian

Proceedings of the SIGCSE 2022: The 53rd ACM Technical Symposium on Computer Science Education, 2022

Crossmodal Representation Learning for Zero-shot Action Recognition.

Chung-Ching Lin, Kevin Lin, Lijuan Wang, Zicheng Liu, Linjie Li

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

SwinBERT: End-to-End Transformers with Sparse Attention for Video Captioning.

Kevin Lin, Linjie Li, Chung-Ching Lin, Faisal Ahmed, Zhe Gan, Zicheng Liu, Yumao Lu, Lijuan Wang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

OVIS: Open-Vocabulary Visual Instance Search via Visual-Semantic Aligned Representation Learning.

Sheng Liu, Kevin Lin, Lijuan Wang, Junsong Yuan, Zicheng Liu

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

2021

Cross-Domain Complementary Learning Using Pose for Multi-Person Part Segmentation.

Kevin Lin, Lijuan Wang, Kun Luo, Yinpeng Chen, Zicheng Liu, Ming-Ting Sun

IEEE Trans. Circuits Syst. Video Technol., 2021

Combining optimal control and learning for autonomous aerial navigation in novel indoor environments.

Kevin Lin, Brian Huo, Megan Hu

CoRR, 2021

VIOLET : End-to-End Video-Language Transformers with Masked Visual-token Modeling.

Tsu-Jui Fu, Linjie Li, Zhe Gan, Kevin Lin, William Yang Wang, Lijuan Wang, Zicheng Liu

CoRR, 2021

Do Abstractions Have Politics? Towards a More Critical Algorithm Analysis.

Kevin Lin

CoRR, 2021

How Can We Make Office Hours Better?

Kevin Lin, Kristin Stephens-Martinez, Brian P. Railing

Proceedings of the SIGCSE '21: The 52nd ACM Technical Symposium on Computer Science Education, 2021

Nifty Web Apps: Build a Web App for Any Text-Based Programming Assignment.

Kevin Lin, Sumant Guha, Joe Spaniac, Andy Zheng

Proceedings of the SIGCSE '21: The 52nd ACM Technical Symposium on Computer Science Education, 2021

Strategies for Authentic Assessments of Mastery in CS Courses.

Kevin Lin, Lina Battestilli, Michael Ball

Proceedings of the SIGCSE '21: The 52nd ACM Technical Symposium on Computer Science Education, 2021

Do Abstractions Have Politics? Toward a More Critical Algorithm Analysis.

Kevin Lin

Proceedings of the 2021 Conference on Research in Equitable and Sustained Participation in Engineering, 2021

Constructing Taxonomies from Pretrained Language Models.

Catherine Chen, Kevin Lin, Dan Klein

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Learning Nonparametric Human Mesh Reconstruction From A Single Image Without Ground Truth Meshes.

Kevin Lin, Lijuan Wang, Ying Jin, Zicheng Liu, Ming-Ting Sun

Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

Mesh Graphormer.

Kevin Lin, Lijuan Wang, Zicheng Liu

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

KLSI Methods for Human Simultaneous Interpretation and Towards Building a Simultaneous Machine Translation System Reflecting the KLSI Methods.

Kevin Lin, Ming Qian

Proceedings of the Artificial Intelligence in HCI, 2021

End-to-End Human Pose and Mesh Reconstruction with Transformers.

Kevin Lin, Lijuan Wang, Zicheng Liu

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

VIVO: Visual Vocabulary Pre-Training for Novel Object Captioning.

Xiaowei Hu, Xi Yin, Kevin Lin, Lei Zhang, Jianfeng Gao, Lijuan Wang, Zicheng Liu

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Cross-Batch Reference Learning for Deep Retrieval.

Huei-Fang Yang, Kevin Lin, Ting-Yen Chen, Chu-Song Chen

IEEE Trans. Neural Networks Learn. Syst., 2020

Liquidity transmission and the subprime mortgage crisis: a multivariate GARCH approach.

Ling Xiao, Gurjeet Dhesi, Eduard Gabriel Ceptureanu, Kevin Lin, Claudiu Herteliu, Babar Syed, Sebastian Ion Ceptureanu

Soft Comput., 2020

Inducing Taxonomic Knowledge from Pretrained Transformers.

Catherine Chen, Kevin Lin, Dan Klein

CoRR, 2020

VIVO: Surpassing Human Performance in Novel Object Captioning with Visual Vocabulary Pre-Training.

Xiaowei Hu, Xi Yin, Kevin Lin, Lijuan Wang, Lei Zhang, Jianfeng Gao, Zicheng Liu

CoRR, 2020

A Berkeley View of Teaching CS at Scale.

Kevin Lin

CoRR, 2020

Evaluating NLP Models via Contrast Sets.

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

CoRR, 2020

Train Large, Then Compress: Rethinking Model Size for Efficient Training and Inference of Transformers.

Zhuohan Li, Eric Wallace, Sheng Shen, Kevin Lin, Kurt Keutzer, Dan Klein, Joseph E. Gonzalez

CoRR, 2020

Perspectives on Allyship in Academia.

Jamie Payton, Adam Blank, Christian Murphy, Melissa Hovik, Kevin Lin, Angela Kwon, Lara McConnaughey

Proceedings of the 51st ACM Technical Symposium on Computer Science Education, 2020

How Can We Make Office Hours Better?

Kevin Lin, Brian P. Railing

Proceedings of the 51st ACM Technical Symposium on Computer Science Education, 2020

Transitioning From Peer Instruction to POGIL with Guided Lecture Notes.

Kevin Lin

Proceedings of the 51st ACM Technical Symposium on Computer Science Education, 2020

It Seemed Like a Good Idea at the Time (Hindsight is 2020).

Dan Garcia, Jim Huggins, Kevin Lin, Raja Sooriamurthi, Leo C. Ureel, Ursula Wolz

Proceedings of the 51st ACM Technical Symposium on Computer Science Education, 2020

Train Big, Then Compress: Rethinking Model Size for Efficient Training and Inference of Transformers.

Zhuohan Li, Eric Wallace, Sheng Shen, Kevin Lin, Kurt Keutzer, Dan Klein, Joey Gonzalez

Proceedings of the 37th International Conference on Machine Learning, 2020

Neural Module Networks for Reasoning over Text.

Nitish Gupta, Kevin Lin, Dan Roth, Sameer Singh, Matt Gardner

Proceedings of the 8th International Conference on Learning Representations, 2020

Evaluating Models' Local Decision Boundaries via Contrast Sets.

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

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Learning to Generate Multiple Style Transfer Outputs for an Input Sentence.

Kevin Lin, Ming-Yu Liu, Ming-Ting Sun, Jan Kautz

Proceedings of the Fourth Workshop on Neural Generation and Translation, 2020

2019

Unsupervised Deep Learning of Compact Binary Descriptors.

Kevin Lin, Jiwen Lu, Chu-Song Chen, Jie Zhou, Ming-Ting Sun

IEEE Trans. Pattern Anal. Mach. Intell., 2019

Cross-Domain Complementary Learning with Synthetic Data for Multi-Person Part Segmentation.

Kevin Lin, Lijuan Wang, Kun Luo, Yinpeng Chen, Zicheng Liu, Ming-Ting Sun

CoRR, 2019

Grammar-based Neural Text-to-SQL Generation.

Kevin Lin, Ben Bogin, Mark Neumann, Jonathan Berant, Matt Gardner

CoRR, 2019

Subgoals, Problem Solving Phases, and Sources of Knowledge: A Complex Mangle.

Kevin Lin, David DeLiema

CoRR, 2019

DeepBase: Deep Inspection of Neural Networks.

Thibault Sellam, Kevin Lin, Ian Yiran Huang, Michelle Yang, Carl Vondrick, Eugene Wu

Proceedings of the 2019 International Conference on Management of Data, 2019

Subgoals, Problem Solving Phases, and Sources of Knowledge.

Kevin Lin, David DeLiema

Proceedings of the 50th ACM Technical Symposium on Computer Science Education, 2019

Adversarial Learning for Fine-Grained Image Search.

Kevin Lin, Fan Yang, Qiaosong Wang, Robinson Piramuthu

Proceedings of the IEEE International Conference on Multimedia and Expo, 2019

QuaRTz: An Open-Domain Dataset of Qualitative Relationship Questions.

Oyvind Tafjord, Matt Gardner, Kevin Lin, Peter Clark

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Reasoning Over Paragraph Effects in Situations.

Kevin Lin, Oyvind Tafjord, Peter Clark, Matt Gardner

Proceedings of the 2nd Workshop on Machine Reading for Question Answering, 2019

2018

Supervised Learning of Semantics-Preserving Hash via Deep Convolutional Neural Networks.

Huei-Fang Yang, Kevin Lin, Chu-Song Chen

IEEE Trans. Pattern Anal. Mach. Intell., 2018

2017

Dialectic: Enhancing Text Input Fields with Automatic Feedback to Improve Social Content Writing Quality.

Hamed Nilforoshan, James Sands, Kevin Lin, Rahul Khanna, Eugene Wu

CoRR, 2017

A Sharp Error Analysis for the Fused Lasso, with Application to Approximate Changepoint Screening.

Kevin Lin, James Sharpnack, Alessandro Rinaldo, Ryan J. Tibshirani

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Adversarial Ranking for Language Generation.

Kevin Lin, Dianqi Li, Xiaodong He, Ming-Ting Sun, Zhengyou Zhang

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

2016

Revisiting compressed sensing: exploiting the efficiency of simplex and sparsification methods.

Robert J. Vanderbei, Kevin Lin, Han Liu, Lie Wang

Math. Program. Comput., 2016

Cross-batch Reference Learning for Deep Classification and Retrieval.

Huei-Fang Yang, Kevin Lin, Chu-Song Chen

Proceedings of the 2016 ACM Conference on Multimedia Conference, 2016

Learning Compact Binary Descriptors with Unsupervised Deep Neural Networks.

Kevin Lin, Jiwen Lu, Chu-Song Chen, Jie Zhou

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015

Abandoned Object Detection via Temporal Consistency Modeling and Back-Tracing Verification for Visual Surveillance.

Kevin Lin, Shen-Chi Chen, Chu-Song Chen, Daw-Tung Lin, Yi-Ping Hung

IEEE Trans. Inf. Forensics Secur., 2015

Supervised Learning of Semantics-Preserving Hashing via Deep Neural Networks for Large-Scale Image Search.

Huei-Fang Yang, Kevin Lin, Chu-Song Chen

CoRR, 2015

Rapid Clothing Retrieval via Deep Learning of Binary Codes and Hierarchical Search.

Kevin Lin, Huei-Fang Yang, Kuan-Hsien Liu, Jen-Hao Hsiao, Chu-Song Chen

Proceedings of the 5th ACM on International Conference on Multimedia Retrieval, 2015

Location-aware object detection via coherent region grouping.

Shen-Chi Chen, Kevin Lin, Chu-Song Chen, Yi-Ping Hung

Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Deep learning of binary hash codes for fast image retrieval.

Kevin Lin, Huei-Fang Yang, Jen-Hao Hsiao, Chu-Song Chen

Proceedings of the 2015 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2015

2014

Face Verification using LBP Feature and Clustering.

Chenqi Wang, Kevin Lin, Yi-Ping Hung

Proceedings of the VISAPP 2014, 2014

Object Detection for Neighbor Map Construction in an IoV System.

Kuan-Wen Chen, Shen-Chi Chen, Kevin Lin, Ming-Hsuan Yang, Chu-Song Chen, Yi-Ping Hung

Proceedings of the 2014 IEEE International Conference on Internet of Things, 2014

Left-Luggage Detection from Finite-State-Machine Analysis in Static-Camera Videos.

Kevin Lin, Shen-Chi Chen, Chu-Song Chen, Daw-Tung Lin, Yi-Ping Hung

Proceedings of the 22nd International Conference on Pattern Recognition, 2014

Network-assisted device discovery for LTE-based D2D communication systems.

Phong Nguyen, Pushpika Wijesinghe, Rajitha Palipana, Kevin Lin, Dobrica Vasic

Proceedings of the IEEE International Conference on Communications, 2014

2013

Optimization for Compressed Sensing: the Simplex Method and Kronecker Sparsification.

Robert J. Vanderbei, Han Liu, Lie Wang, Kevin Lin

CoRR, 2013

Teleport: space navigation by detecting the self-motion of a mobile device.

Shen-Chi Chen, Chia-Wei Hsu, Shih-Yao Lin, Kevin Lin, Yi-Ping Hung

Proceedings of the SIGGRAPH Asia 2013, 2013

Target-driven video summarization in a camera network.

Shen-Chi Chen, Kevin Lin, Shih-Yao Lin, Kuan-Wen Chen, Chih-Wei Lin, Chu-Song Chen, Yi-Ping Hung

Proceedings of the IEEE International Conference on Image Processing, 2013

2011

Biologically inspired 3D trajectory prediction system using a moth flight-to-light tracking model.

Kevin Lin, Mon-Chau Shie

Proceedings of the 2011 IEEE International Conference on Signal and Image Processing Applications, 2011