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ORCIDKevin Lin
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2020 – today
- 2024
[j14]Nelson F. Liu, Kevin Lin, John Hewitt, Ashwin Paranjape, Michele Bevilacqua, Fabio Petroni, Percy Liang:
Lost in the Middle: How Language Models Use Long Contexts. Trans. Assoc. Comput. Linguistics 12: 157-173 (2024)- [j13]Nelson F. Liu, Kevin Lin, John Hewitt, Ashwin Paranjape, Michele Bevilacqua, Fabio Petroni, Percy Liang:
Lost in the Middle: How Language Models Use Long Contexts. Trans. Assoc. Comput. Linguistics 12: 157-173 (2024) - [c66]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:
Partial-View Object View Synthesis via Filtering Inversion. 3DV 2024: 453-463 - [c65]Tan Wang, Linjie Li, Kevin Lin, Yuanhao Zhai, Chung-Ching Lin, Zhengyuan Yang, Hanwang Zhang, Zicheng Liu, Lijuan Wang:
Disco: Disentangled Control for Realistic Human Dance Generation. CVPR 2024: 9326-9336 - [c64]Chaoyi Zhang, Kevin Lin, Zhengyuan Yang, Jianfeng Wang, Linjie Li, Chung-Ching Lin, Zicheng Liu, Lijuan Wang:
MM-Narrator: Narrating Long-form Videos with Multimodal In-Context Learning. CVPR 2024: 13647-13657 - [c63]Zhengyuan Yang, Jianfeng Wang, Linjie Li, Kevin Lin, Chung-Ching Lin, Zicheng Liu, Lijuan Wang:
Idea2Img: Iterative Self-refinement with GPT-4V for Automatic Image Design and Generation. ECCV (38) 2024: 167-184 - [c62]Kevin Lin:
Teaching Accessible Design in Data Structures and Algorithms. ICER (2) 2024: 547 - [c61]Fuxiao Liu, Kevin Lin, Linjie Li, Jianfeng Wang, Yaser Yacoob, Lijuan Wang:
Mitigating Hallucination in Large Multi-Modal Models via Robust Instruction Tuning. ICLR 2024 - [c60]Weihao Yu, Zhengyuan Yang, Linjie Li, Jianfeng Wang, Kevin Lin, Zicheng Liu, Xinchao Wang, Lijuan Wang:
MM-Vet: Evaluating Large Multimodal Models for Integrated Capabilities. ICML 2024 - [c59]Kevin Lin, Donald E. Brown, Sana Syed, Adam Greene:
Diffusion and Multi-Domain Adaptation Methods for Eosinophil Segmentation. ICMVA 2024: 150-153 - [c58]Abby O'Neill, Abdul Rehman, Abhiram Maddukuri, Abhishek Gupta, Abhishek Padalkar, Abraham Lee, Acorn Pooley, Agrim Gupta, Ajay Mandlekar, Ajinkya Jain, Albert Tung, Alex Bewley, Alexander Herzog, Alex Irpan, Alexander Khazatsky, Anant Rai, Anchit Gupta, Andrew Wang, Anikait Singh, Animesh Garg, Aniruddha Kembhavi, Annie Xie, Anthony Brohan, Antonin Raffin, Archit Sharma, Arefeh Yavary, Arhan Jain, Ashwin Balakrishna, Ayzaan Wahid, Ben Burgess-Limerick, Beomjoon Kim, Bernhard Schölkopf, Blake Wulfe, Brian Ichter, Cewu Lu, Charles Xu, Charlotte Le, Chelsea Finn, Chen Wang, Chenfeng Xu, Cheng Chi, Chenguang Huang, Christine Chan, Christopher Agia, Chuer Pan, Chuyuan Fu, Coline Devin, Danfei Xu, Daniel Morton, Danny Driess, Daphne Chen, Deepak Pathak, Dhruv Shah, Dieter Büchler, Dinesh Jayaraman, Dmitry Kalashnikov, Dorsa Sadigh, Edward Johns, Ethan Paul Foster, Fangchen Liu, Federico Ceola, Fei Xia, Feiyu Zhao, Freek Stulp, Gaoyue Zhou, Gaurav S. Sukhatme, Gautam Salhotra, Ge Yan, Gilbert Feng, Giulio Schiavi, Glen Berseth, Gregory Kahn, Guanzhi Wang, Hao Su, Haoshu Fang, Haochen Shi, Henghui Bao, Heni Ben Amor, Henrik I. Christensen, Hiroki Furuta, Homer Walke, Hongjie Fang, Huy Ha, Igor Mordatch, Ilija Radosavovic, Isabel Leal, Jacky Liang, Jad Abou-Chakra, Jaehyung Kim, Jaimyn Drake, Jan Peters, Jan Schneider, Jasmine Hsu, Jeannette Bohg, Jeffrey Bingham, Jeffrey Wu, Jensen Gao, Jiaheng Hu, Jiajun Wu, Jialin Wu, Jiankai Sun, Jianlan Luo, Jiayuan Gu, Jie Tan, Jihoon Oh, Jimmy Wu, Jingpei Lu, Jingyun Yang, Jitendra Malik, João Silvério, Joey Hejna, Jonathan Booher, Jonathan Tompson, Jonathan Yang, Jordi Salvador, Joseph J. Lim, Junhyek Han, Kaiyuan Wang, Kanishka Rao, Karl Pertsch, Karol Hausman, Keegan Go, Keerthana Gopalakrishnan, Ken Goldberg, Kendra Byrne, Kenneth Oslund, Kento Kawaharazuka, Kevin Black, Kevin Lin, Kevin Zhang, Kiana Ehsani, Kiran Lekkala, Kirsty Ellis, Krishan Rana, Krishnan Srinivasan, Kuan Fang, Kunal Pratap Singh, Kuo-Hao Zeng, Kyle Hatch, Kyle Hsu, Laurent Itti, Lawrence Yunliang Chen, Lerrel Pinto, Li Fei-Fei, Liam Tan, Linxi Jim Fan, Lionel Ott, Lisa Lee, Luca Weihs, Magnum Chen, Marion Lepert, Marius Memmel, Masayoshi Tomizuka, Masha Itkina, Mateo Guaman Castro, Max Spero, Maximilian Du, Michael Ahn, Michael C. Yip, Mingtong Zhang, Mingyu Ding, Minho Heo, Mohan Kumar Srirama, Mohit Sharma, Moo Jin Kim, Naoaki Kanazawa, Nicklas Hansen, Nicolas Heess, Nikhil J. Joshi, Niko Sünderhauf, Ning Liu, Norman Di Palo, Nur Muhammad (Mahi) Shafiullah, Oier Mees, Oliver Kroemer, Osbert Bastani, Pannag R. Sanketi, Patrick Tree Miller, Patrick Yin, Paul Wohlhart, Peng Xu, Peter David Fagan, Peter Mitrano, Pierre Sermanet, Pieter Abbeel, Priya Sundaresan, Qiuyu Chen, Quan Vuong, Rafael Rafailov, Ran Tian, Ria Doshi, Roberto Martín-Martín, Rohan Baijal, Rosario Scalise, Rose Hendrix, Roy Lin, Runjia Qian, Ruohan Zhang, Russell Mendonca, Rutav Shah, Ryan Hoque, Ryan Julian, Samuel Bustamante, Sean Kirmani, Sergey Levine, Shan Lin, Sherry Moore, Shikhar Bahl, Shivin Dass, Shubham D. Sonawani, Shuran Song, Sichun Xu, Siddhant Haldar, Siddharth Karamcheti, Simeon Adebola, Simon Guist, Soroush Nasiriany, Stefan Schaal, Stefan Welker, Stephen Tian, Subramanian Ramamoorthy, Sudeep Dasari, Suneel Belkhale, Sungjae Park, Suraj Nair, Suvir Mirchandani, Takayuki Osa, Tanmay Gupta, Tatsuya Harada, Tatsuya Matsushima, Ted Xiao, Thomas Kollar, Tianhe Yu, Tianli Ding, Todor Davchev, Tony Z. Zhao, Travis Armstrong, Trevor Darrell, Trinity Chung, Vidhi Jain, Vincent Vanhoucke, Wei Zhan, Wenxuan Zhou, Wolfram Burgard, Xi Chen, Xiaolong Wang, Xinghao Zhu, Xinyang Geng, Xiyuan Liu, Liangwei Xu, Xuanlin Li, Yao Lu, Yecheng Jason Ma, Yejin Kim, Yevgen Chebotar, Yifan Zhou, Yifeng Zhu, Yilin Wu, Ying Xu, Yixuan Wang, Yonatan Bisk, Yoonyoung Cho, Youngwoon Lee, Yuchen Cui, Yue Cao, Yueh-Hua Wu, Yujin Tang, Yuke Zhu, Yunchu Zhang, Yunfan Jiang, Yunshuang Li, Yunzhu Li, Yusuke Iwasawa, Yutaka Matsuo, Zehan Ma, Zhuo Xu, Zichen Jeff Cui, Zichen Zhang, Zipeng Lin:
Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration. ICRA 2024: 6892-6903 - [c57]Anna Batra, Iris Zhou, Suh Young Choi, Chongjiu Gao, Yanbing Xiao, Sonia Fereidooni, Kevin Lin:
"It Can Relate to Real Lives": Attitudes and Expectations in Justice-centered Data Structures & Algorithms for Non-Majors. SIGCSE (1) 2024: 88-94 - [c56]Mu-Shan Lin, Chien-Chun Tsai, Shenggao Li, Tze-Chiang Huang, Wen-Hung Huang, Kate Huang, Yu-Chi Chen, Alex Liu, Yu-Jie Huang, Jimmy Wang, Shu-Chun Yang, Nai-Chen Cheng, Chao-Chieh Li, Hsin-Hung Kuo, Wei-Chih Chen, Chin-Hua Wen, Kevin Lin, Po-Yi Huang, Kenny Cheng-Hsiang Hsieh, Frank Lee:
A 0.296pJ/bit 17.9Tb/s/mm2 Die-to-Die Link in 5nm/6nm FinFET on a 9μm-Pitch 3D Package Achieving 10.24Tb/s Bandwidth at 16Gb/s PAM-4. VLSI Technology and Circuits 2024: 1-2 - [c55]Kevin Lin, Chung-Ching Lin, Lin Liang, Zicheng Liu, Lijuan Wang:
MPT: Mesh Pre-Training with Transformers for Human Pose and Mesh Reconstruction. WACV 2024: 3403-3413 - [i66]Alex Jinpeng Wang, Linjie Li, Kevin Qinghong Lin, Jianfeng Wang, Kevin Lin, Zhengyuan Yang, Lijuan Wang, Mike Zheng Shou:
COSMO: COntrastive Streamlined MultimOdal Model with Interleaved Pre-Training. CoRR abs/2401.00849 (2024) - [i65]An Yan, Zhengyuan Yang, Junda Wu, Wanrong Zhu, Jianwei Yang, Linjie Li, Kevin Lin, Jianfeng Wang, Julian J. McAuley, Jianfeng Gao, Lijuan Wang:
List Items One by One: A New Data Source and Learning Paradigm for Multimodal LLMs. CoRR abs/2404.16375 (2024) - [i64]Aaditya Prasad, Kevin Lin, Jimmy Wu, Linqi Zhou, Jeannette Bohg:
Consistency Policy: Accelerated Visuomotor Policies via Consistency Distillation. CoRR abs/2405.07503 (2024) - [i63]Yizhou Chi, Jessy Lin, Kevin Lin, Dan Klein:
CLARINET: Augmenting Language Models to Ask Clarification Questions for Retrieval. CoRR abs/2405.15784 (2024) - [i62]Yuanhao Zhai, Kevin Lin, Zhengyuan Yang, Linjie Li, Jianfeng Wang, Chung-Ching Lin, David S. Doermann, Junsong Yuan, Lijuan Wang:
Motion Consistency Model: Accelerating Video Diffusion with Disentangled Motion-Appearance Distillation. CoRR abs/2406.06890 (2024) - [i61]Xuehai He, Weixi Feng, Kaizhi Zheng, Yujie Lu, Wanrong Zhu, Jiachen Li, Yue Fan, Jianfeng Wang, Linjie Li, Zhengyuan Yang, Kevin Lin, William Yang Wang, Lijuan Wang, Xin Eric Wang:
MMWorld: Towards Multi-discipline Multi-faceted World Model Evaluation in Videos. CoRR abs/2406.08407 (2024) - [i60]Yuanhao Zhai, Kevin Lin, Linjie Li, Chung-Ching Lin, Jianfeng Wang, Zhengyuan Yang, David S. Doermann, Junsong Yuan, Zicheng Liu, Lijuan Wang:
IDOL: Unified Dual-Modal Latent Diffusion for Human-Centric Joint Video-Depth Generation. CoRR abs/2407.10937 (2024) - [i59]Weihao Yu, Zhengyuan Yang, Linfeng Ren, Linjie Li, Jianfeng Wang, Kevin Lin, Chung-Ching Lin, Zicheng Liu, Lijuan Wang, Xinchao Wang:
MM-Vet v2: A Challenging Benchmark to Evaluate Large Multimodal Models for Integrated Capabilities. CoRR abs/2408.00765 (2024) - 2023
- [j12]Kevin Lin, Christopher Agia, Toki Migimatsu, Marco Pavone, Jeannette Bohg:
Text2Motion: from natural language instructions to feasible plans. Auton. Robots 47(8): 1345-1365 (2023) - [j11]Sarah Wooders, Xiangxi Mo, Amit Narang, Kevin Lin, Ion Stoica, Joseph M. Hellerstein, Natacha Crooks, Joseph E. Gonzalez:
RALF: Accuracy-Aware Scheduling for Feature Store Maintenance. Proc. VLDB Endow. 17(3): 563-576 (2023) - [j10]Yun-Yen Chuang, Hung-Min Hsu, Kevin Lin, Ray-I Chang, Hung-Yi Lee:
MetaEx-GAN: Meta Exploration to Improve Natural Language Generation via Generative Adversarial Networks. IEEE ACM Trans. Audio Speech Lang. Process. 31: 3968-3980 (2023) - [c54]Lin Huang, Chung-Ching Lin, Kevin Lin, Lin Liang, Lijuan Wang, Junsong Yuan, Zicheng Liu:
Neural Voting Field for Camera-Space 3D Hand Pose Estimation. CVPR 2023: 8969-8978 - [c53]Chung-Ching Lin, Jiang Wang, Kun Luo, Kevin Lin, Linjie Li, Lijuan Wang, Zicheng Liu:
Adaptive Human Matting for Dynamic Videos. CVPR 2023: 10229-10238 - [c52]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. CVPR 2023: 14246-14255 - [c51]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. CVPR 2023: 22898-22909 - [c50]Linjie Li, Zhe Gan, Kevin Lin, Chung-Ching Lin, Zicheng Liu, Ce Liu, Lijuan Wang:
LAVENDER: Unifying Video-Language Understanding as Masked Language Modeling. CVPR 2023: 23119-23129 - [c49]Yi-Lin Sung, Linjie Li, Kevin Lin, Zhe Gan, Mohit Bansal, Lijuan Wang:
An Empirical Study of Multimodal Model Merging. EMNLP (Findings) 2023: 1563-1575 - [c48]Kevin Lin, Kyle Lo, Joseph Gonzalez, Dan Klein:
Decomposing Complex Queries for Tip-of-the-tongue Retrieval. EMNLP (Findings) 2023: 5521-5533 - [c47]Kevin Lin, Donald E. Brown, Sana Syed, Adam Greene:
Uncertainty Quantification for Eosinophil Segmentation. ICBRA 2023: 15-19 - [c46]Tan Wang, Kevin Lin, Linjie Li, Chung-Ching Lin, Zhengyuan Yang, Hanwang Zhang, Zicheng Liu, Lijuan Wang:
Equivariant Similarity for Vision-Language Foundation Models. ICCV 2023: 11964-11974 - [c45]Kevin Lin, Patrick Xia, Hao Fang:
Few-Shot Adaptation for Parsing Contextual Utterances with LLMs. IJCNLP (Findings) 2023: 348-360 - [c44]Dan Garcia, Maria Camarena, Kevin Lin, Jill Westerlund:
Equitable Grading Best Practices. SIGCSE (2) 2023: 1200-1201 - [i58]Zhengyuan Yang, Linjie Li, Jianfeng Wang, Kevin Lin, Ehsan Azarnasab, Faisal Ahmed, Zicheng Liu, Ce Liu, Michael Zeng, Lijuan Wang:
MM-REACT: Prompting ChatGPT for Multimodal Reasoning and Action. CoRR abs/2303.11381 (2023) - [i57]Kevin Lin, Christopher Agia, Toki Migimatsu, Marco Pavone, Jeannette Bohg:
Text2Motion: From Natural Language Instructions to Feasible Plans. CoRR abs/2303.12153 (2023) - [i56]Tan Wang, Kevin Lin, Linjie Li, Chung-Ching Lin, Zhengyuan Yang, Hanwang Zhang, Zicheng Liu, Lijuan Wang:
Equivariant Similarity for Vision-Language Foundation Models. CoRR abs/2303.14465 (2023) - [i55]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:
Partial-View Object View Synthesis via Filtered Inversion. CoRR abs/2304.00673 (2023) - [i54]Chung-Ching Lin, Jiang Wang, Kun Luo, Kevin Lin, Linjie Li, Lijuan Wang, Zicheng Liu:
Adaptive Human Matting for Dynamic Videos. CoRR abs/2304.06018 (2023) - [i53]Yi-Lin Sung, Linjie Li, Kevin Lin, Zhe Gan, Mohit Bansal, Lijuan Wang:
An Empirical Study of Multimodal Model Merging. CoRR abs/2304.14933 (2023) - [i52]Lin Huang, Chung-Ching Lin, Kevin Lin, Lin Liang, Lijuan Wang, Junsong Yuan, Zicheng Liu:
Neural Voting Field for Camera-Space 3D Hand Pose Estimation. CoRR abs/2305.04328 (2023) - [i51]Kevin Lin, Kyle Lo, Joseph E. Gonzalez, Dan Klein:
Decomposing Complex Queries for Tip-of-the-tongue Retrieval. CoRR abs/2305.15053 (2023) - [i50]Fuxiao Liu, Kevin Lin, Linjie Li, Jianfeng Wang, Yaser Yacoob, Lijuan Wang:
Aligning Large Multi-Modal Model with Robust Instruction Tuning. CoRR abs/2306.14565 (2023) - [i49]Tan Wang, Linjie Li, Kevin Lin, Chung-Ching Lin, Zhengyuan Yang, Hanwang Zhang, Zicheng Liu, Lijuan Wang:
DisCo: Disentangled Control for Referring Human Dance Generation in Real World. CoRR abs/2307.00040 (2023) - [i48]Nelson F. Liu, Kevin Lin, John Hewitt, Ashwin Paranjape, Michele Bevilacqua, Fabio Petroni, Percy Liang:
Lost in the Middle: How Language Models Use Long Contexts. CoRR abs/2307.03172 (2023) - [i47]Xin Yuan, Linjie Li, Jianfeng Wang, Zhengyuan Yang, Kevin Lin, Zicheng Liu, Lijuan Wang:
Spatial-Frequency U-Net for Denoising Diffusion Probabilistic Models. CoRR abs/2307.14648 (2023) - [i46]Weihao Yu, Zhengyuan Yang, Linjie Li, Jianfeng Wang, Kevin Lin, Zicheng Liu, Xinchao Wang, Lijuan Wang:
MM-Vet: Evaluating Large Multimodal Models for Integrated Capabilities. CoRR abs/2308.02490 (2023) - [i45]Kevin Lin, Patrick Xia, Hao Fang:
Few-Shot Adaptation for Parsing Contextual Utterances with LLMs. CoRR abs/2309.10168 (2023) - [i44]Kevin Lin, Donald E. Brown, Sana Syed, Adam Greene:
Uncertainty Quantification for Eosinophil Segmentation. CoRR abs/2309.16536 (2023) - [i43]Zhengyuan Yang, Linjie Li, Kevin Lin, Jianfeng Wang, Chung-Ching Lin, Zicheng Liu, Lijuan Wang:
The Dawn of LMMs: Preliminary Explorations with GPT-4V(ision). CoRR abs/2309.17421 (2023) - [i42]Jie An, Zhengyuan Yang, Linjie Li, Jianfeng Wang, Kevin Lin, Zicheng Liu, Lijuan Wang, Jiebo Luo:
OpenLEAF: Open-Domain Interleaved Image-Text Generation and Evaluation. CoRR abs/2310.07749 (2023) - [i41]Zhengyuan Yang, Jianfeng Wang, Linjie Li, Kevin Lin, Chung-Ching Lin, Zicheng Liu, Lijuan Wang:
Idea2Img: Iterative Self-Refinement with GPT-4V(ision) for Automatic Image Design and Generation. CoRR abs/2310.08541 (2023) - [i40]Charles Packer, Vivian Fang, Shishir G. Patil, Kevin Lin, Sarah Wooders, Joseph E. Gonzalez:
MemGPT: Towards LLMs as Operating Systems. CoRR abs/2310.08560 (2023) - [i39]Kevin Lin, Zhengyuan Yang, Linjie Li, Jianfeng Wang, Lijuan Wang:
DEsignBench: Exploring and Benchmarking DALL-E 3 for Imagining Visual Design. CoRR abs/2310.15144 (2023) - [i38]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:
MM-VID: Advancing Video Understanding with GPT-4V(ision). CoRR abs/2310.19773 (2023) - [i37]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:
GPT-4V in Wonderland: Large Multimodal Models for Zero-Shot Smartphone GUI Navigation. CoRR abs/2311.07562 (2023) - [i36]Chaoyi Zhang, Kevin Lin, Zhengyuan Yang, Jianfeng Wang, Linjie Li, Chung-Ching Lin, Zicheng Liu, Lijuan Wang:
MM-Narrator: Narrating Long-form Videos with Multimodal In-Context Learning. CoRR abs/2311.17435 (2023) - [i35]Anna Batra, Iris Zhou, Suh Young Choi, Chongjiu Gao, Yanbing Xiao, Sonia Fereidooni, Kevin Lin:
"It Can Relate to Real Lives": Attitudes and Expectations in Justice-Centered Data Structures & Algorithms for Non-Majors. CoRR abs/2312.12620 (2023) - 2022
- [j9]Lei Ji, Rong-Cheng Tu, Kevin Lin, Lijuan Wang, Nan Duan:
Multimodal graph neural network for video procedural captioning. Neurocomputing 488: 88-96 (2022) - [j8]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. Trans. Mach. Learn. Res. 2022 (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
[c65] [c64] [c63] [c61] [c60] [c55] [i66] [i65] [i62] [i61] [i60] [i59] [c54] [c53] [c52] [c51] [c50] [c49] [c46] [i58] [i56] [i54] [i53] [i52] [i50] [i49] [i47] [i46] [i43] [i42] [i41] [i39] [i38] [i37] [i36] [j9] [j8] [c43] [c42] [c41] [i34] [i33] [i32] [i31] [i30] [i29] [j7] [c37] [c36] [c34] [c33] [i27] [i26] [i24] [i23] [i19] [i16] [i13] [i10]
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