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2020 – today
- 2024
- [c45]Shanzhi Yin, Tongda Xu, Yongsheng Liang, Yuanyuan Wang, Yanghao Li, Yan Wang, Jingjing Liu:
Bandwidth-Efficient Inference for Nerual Image Compression. ICASSP 2024: 2905-2909 - [c44]Duy-Kien Nguyen, Yanghao Li, Vaibhav Aggarwal, Martin R. Oswald, Alexander Kirillov, Cees G. M. Snoek, Xinlei Chen:
R-MAE: Regions Meet Masked Autoencoders. ICLR 2024 - [c43]Tongda Xu, Ziran Zhu, Dailan He, Yanghao Li, Lina Guo, Yuanyuan Wang, Zhe Wang, Hongwei Qin, Yan Wang, Jingjing Liu, Ya-Qin Zhang:
Idempotence and Perceptual Image Compression. ICLR 2024 - [i42]Tongda Xu, Ziran Zhu, Dailan He, Yanghao Li, Lina Guo, Yuanyuan Wang, Zhe Wang, Hongwei Qin, Yan Wang, Jingjing Liu, Ya-Qin Zhang:
Idempotence and Perceptual Image Compression. CoRR abs/2401.08920 (2024) - [i41]Tom Gunter, Zirui Wang, Chong Wang, Ruoming Pang, Andy Narayanan, Aonan Zhang, Bowen Zhang, Chen Chen, Chung-Cheng Chiu, David Qiu, Deepak Gopinath, Dian Ang Yap, Dong Yin, Feng Nan, Floris Weers, Guoli Yin, Haoshuo Huang, Jianyu Wang, Jiarui Lu, John Peebles, Ke Ye, Mark Lee, Nan Du, Qibin Chen, Quentin Keunebroek, Sam Wiseman, Syd Evans, Tao Lei, Vivek Rathod, Xiang Kong, Xianzhi Du, Yanghao Li, Yongqiang Wang, Yuan Gao, Zaid Ahmed, Zhaoyang Xu, Zhiyun Lu, Al Rashid, Albin Madappally Jose, Alec Doane, Alfredo Bencomo, Allison Vanderby, Andrew Hansen, Ankur Jain, Anupama Mann Anupama, Areeba Kamal, Bugu Wu, Carolina Brum, Charlie Maalouf, Chinguun Erdenebileg, Chris Dulhanty, Dominik Moritz, Doug Kang, Eduardo Jimenez, Evan Ladd, Fangping Shi, Felix Bai, Frank Chu, Fred Hohman, Hadas Kotek, Hannah Gillis Coleman, Jane Li, Jeffrey P. Bigham, Jeffery Cao, Jeff Lai, Jessica Cheung, Jiulong Shan, Joe Zhou, John Li, Jun Qin, Karanjeet Singh, Karla Vega, Kelvin Zou, Laura Heckman, Lauren Gardiner, Margit Bowler, Maria Cordell, Meng Cao, Nicole Hay, Nilesh Shahdadpuri, Otto Godwin, Pranay Dighe, Pushyami Rachapudi, Ramsey Tantawi, Roman Frigg, Sam Davarnia, Sanskruti Shah, Saptarshi Guha, Sasha Sirovica, Shen Ma, Shuang Ma, Simon Wang, Sulgi Kim, Suma Jayaram, Vaishaal Shankar, Varsha Paidi, Vivek Kumar, Xin Wang, Xin Zheng, Walker Cheng:
Apple Intelligence Foundation Language Models. CoRR abs/2407.21075 (2024) - [i40]Changxin Liu, Yanghao Li, Yuhao Yi, Karl Henrik Johansson:
Byzantine-Robust and Communication-Efficient Distributed Learning via Compressed Momentum Filtering. CoRR abs/2409.08640 (2024) - [i39]Haotian Zhang, Mingfei Gao, Zhe Gan, Philipp Dufter, Nina Wenzel, Forrest Huang, Dhruti Shah, Xianzhi Du, Bowen Zhang, Yanghao Li, Sam Dodge, Keen You, Zhen Yang, Aleksei Timofeev, Mingze Xu, Hong-You Chen, Jean-Philippe Fauconnier, Zhengfeng Lai, Haoxuan You, Zirui Wang, Afshin Dehghan, Peter Grasch, Yinfei Yang:
MM1.5: Methods, Analysis & Insights from Multimodal LLM Fine-tuning. CoRR abs/2409.20566 (2024) - [i38]Haotian Sun, Tao Lei, Bowen Zhang, Yanghao Li, Haoshuo Huang, Ruoming Pang, Bo Dai, Nan Du:
EC-DIT: Scaling Diffusion Transformers with Adaptive Expert-Choice Routing. CoRR abs/2410.02098 (2024) - [i37]Hanrong Ye, Haotian Zhang, Erik A. Daxberger, Lin Chen, Zongyu Lin, Yanghao Li, Bowen Zhang, Haoxuan You, Dan Xu, Zhe Gan, Jiasen Lu, Yinfei Yang:
MM-Ego: Towards Building Egocentric Multimodal LLMs. CoRR abs/2410.07177 (2024) - [i36]Runchu Tian, Yanghao Li, Yuepeng Fu, Siyang Deng, Qinyu Luo, Cheng Qian, Shuo Wang, Xin Cong, Zhong Zhang, Yesai Wu, Yankai Lin, Huadong Wang, Xiaojiang Liu:
Distance between Relevant Information Pieces Causes Bias in Long-Context LLMs. CoRR abs/2410.14641 (2024) - [i35]Ruohong Zhang, Bowen Zhang, Yanghao Li, Haotian Zhang, Zhiqing Sun, Zhe Gan, Yinfei Yang, Ruoming Pang, Yiming Yang:
Improve Vision Language Model Chain-of-thought Reasoning. CoRR abs/2410.16198 (2024) - 2023
- [c42]Mengmeng Xu, Yanghao Li, Cheng-Yang Fu, Bernard Ghanem, Tao Xiang, Juan-Manuel Pérez-Rúa:
Where is my Wallet? Modeling Object Proposal Sets for Egocentric Visual Query Localization. CVPR 2023: 2593-2603 - [c41]Yubin Hu, Yuze He, Yanghao Li, Jisheng Li, Yuxing Han, Jiangtao Wen, Yong-Jin Liu:
Efficient Semantic Segmentation by Altering Resolutions for Compressed Videos. CVPR 2023: 22627-22637 - [c40]Yanghao Li, Haoqi Fan, Ronghang Hu, Christoph Feichtenhofer, Kaiming He:
Scaling Language-Image Pre-Training via Masking. CVPR 2023: 23390-23400 - [c39]Yuhuan Lin, Tongda Xu, Ziyu Zhu, Yanghao Li, Zhe Wang, Yan Wang:
Your Camera Improves Your Point Cloud Compression. ICASSP 2023: 1-5 - [c38]Chen Wei, Karttikeya Mangalam, Po-Yao Huang, Yanghao Li, Haoqi Fan, Hu Xu, Huiyu Wang, Cihang Xie, Alan L. Yuille, Christoph Feichtenhofer:
Diffusion Models as Masked Autoencoders. ICCV 2023: 16238-16248 - [c37]Chaitanya Ryali, Yuan-Ting Hu, Daniel Bolya, Chen Wei, Haoqi Fan, Po-Yao Huang, Vaibhav Aggarwal, Arkabandhu Chowdhury, Omid Poursaeed, Judy Hoffman, Jitendra Malik, Yanghao Li, Christoph Feichtenhofer:
Hiera: A Hierarchical Vision Transformer without the Bells-and-Whistles. ICML 2023: 29441-29454 - [c36]Po-Yao Huang, Vasu Sharma, Hu Xu, Chaitanya Ryali, Haoqi Fan, Yanghao Li, Shang-Wen Li, Gargi Ghosh, Jitendra Malik, Christoph Feichtenhofer:
MAViL: Masked Audio-Video Learners. NeurIPS 2023 - [c35]Yanghao Li, Tongda Xu, Yan Wang, Jingjing Liu, Ya-Qin Zhang:
Idempotent Learned Image Compression with Right-Inverse. NeurIPS 2023 - [i34]Karttikeya Mangalam, Haoqi Fan, Yanghao Li, Chao-Yuan Wu, Bo Xiong, Christoph Feichtenhofer, Jitendra Malik:
Reversible Vision Transformers. CoRR abs/2302.04869 (2023) - [i33]Yubin Hu, Yuze He, Yanghao Li, Jisheng Li, Yuxing Han, Jiangtao Wen, Yong-Jin Liu:
Efficient Semantic Segmentation by Altering Resolutions for Compressed Videos. CoRR abs/2303.07224 (2023) - [i32]Chen Wei, Karttikeya Mangalam, Po-Yao Huang, Yanghao Li, Haoqi Fan, Hu Xu, Huiyu Wang, Cihang Xie, Alan L. Yuille, Christoph Feichtenhofer:
Diffusion Models as Masked Autoencoders. CoRR abs/2304.03283 (2023) - [i31]Qian Zhang, Tongda Xu, Yanghao Li, Yan Wang:
Evaluating Strong Idempotence of Image Codec. CoRR abs/2304.08269 (2023) - [i30]Chaitanya Ryali, Yuan-Ting Hu, Daniel Bolya, Chen Wei, Haoqi Fan, Po-Yao Huang, Vaibhav Aggarwal, Arkabandhu Chowdhury, Omid Poursaeed, Judy Hoffman, Jitendra Malik, Yanghao Li, Christoph Feichtenhofer:
Hiera: A Hierarchical Vision Transformer without the Bells-and-Whistles. CoRR abs/2306.00989 (2023) - [i29]Duy-Kien Nguyen, Vaibhav Aggarwal, Yanghao Li, Martin R. Oswald, Alexander Kirillov, Cees G. M. Snoek, Xinlei Chen:
R-MAE: Regions Meet Masked Autoencoders. CoRR abs/2306.05411 (2023) - [i28]Tongda Xu, Qian Zhang, Yanghao Li, Dailan He, Zhe Wang, Yuanyuan Wang, Hongwei Qin, Yan Wang, Jingjing Liu, Ya-Qin Zhang:
Conditional Perceptual Quality Preserving Image Compression. CoRR abs/2308.08154 (2023) - [i27]Shanzhi Yin, Tongda Xu, Yongsheng Liang, Yuanyuan Wang, Yanghao Li, Yan Wang, Jingjing Liu:
Bandwidth-efficient Inference for Neural Image Compression. CoRR abs/2309.02855 (2023) - 2022
- [c34]Yanghao Li, Chao-Yuan Wu, Haoqi Fan, Karttikeya Mangalam, Bo Xiong, Jitendra Malik, Christoph Feichtenhofer:
MViTv2: Improved Multiscale Vision Transformers for Classification and Detection. CVPR 2022: 4794-4804 - [c33]Karttikeya Mangalam, Haoqi Fan, Yanghao Li, Chao-Yuan Wu, Bo Xiong, Christoph Feichtenhofer, Jitendra Malik:
Reversible Vision Transformers. CVPR 2022: 10820-10830 - [c32]Chao-Yuan Wu, Yanghao Li, Karttikeya Mangalam, Haoqi Fan, Bo Xiong, Jitendra Malik, Christoph Feichtenhofer:
MeMViT: Memory-Augmented Multiscale Vision Transformer for Efficient Long-Term Video Recognition. CVPR 2022: 13577-13587 - [c31]Kaiming He, Xinlei Chen, Saining Xie, Yanghao Li, Piotr Dollár, Ross B. Girshick:
Masked Autoencoders Are Scalable Vision Learners. CVPR 2022: 15979-15988 - [c30]Kristen Grauman, Andrew Westbury, Eugene Byrne, Zachary Chavis, Antonino Furnari, Rohit Girdhar, Jackson Hamburger, Hao Jiang, Miao Liu, Xingyu Liu, Miguel Martin, Tushar Nagarajan, Ilija Radosavovic, Santhosh Kumar Ramakrishnan, Fiona Ryan, Jayant Sharma, Michael Wray, Mengmeng Xu, Eric Zhongcong Xu, Chen Zhao, Siddhant Bansal, Dhruv Batra, Vincent Cartillier, Sean Crane, Tien Do, Morrie Doulaty, Akshay Erapalli, Christoph Feichtenhofer, Adriano Fragomeni, Qichen Fu, Abrham Gebreselasie, Cristina González, James Hillis, Xuhua Huang, Yifei Huang, Wenqi Jia, Weslie Khoo, Jáchym Kolár, Satwik Kottur, Anurag Kumar, Federico Landini, Chao Li, Yanghao Li, Zhenqiang Li, Karttikeya Mangalam, Raghava Modhugu, Jonathan Munro, Tullie Murrell, Takumi Nishiyasu, Will Price, Paola Ruiz Puentes, Merey Ramazanova, Leda Sari, Kiran Somasundaram, Audrey Southerland, Yusuke Sugano, Ruijie Tao, Minh Vo, Yuchen Wang, Xindi Wu, Takuma Yagi, Ziwei Zhao, Yunyi Zhu, Pablo Arbeláez, David Crandall, Dima Damen, Giovanni Maria Farinella, Christian Fuegen, Bernard Ghanem, Vamsi Krishna Ithapu, C. V. Jawahar, Hanbyul Joo, Kris Kitani, Haizhou Li, Richard A. Newcombe, Aude Oliva, Hyun Soo Park, James M. Rehg, Yoichi Sato, Jianbo Shi, Mike Zheng Shou, Antonio Torralba, Lorenzo Torresani, Mingfei Yan, Jitendra Malik:
Ego4D: Around the World in 3, 000 Hours of Egocentric Video. CVPR 2022: 18973-18990 - [c29]Yanghao Li, Hanzi Mao, Ross B. Girshick, Kaiming He:
Exploring Plain Vision Transformer Backbones for Object Detection. ECCV (9) 2022: 280-296 - [c28]Yanghao Li, Xinyao Chen, Jisheng Li, Jiangtao Wen, Yuxing Han, Shan Liu, Xiaozhong Xu:
Rate Control for Learned Video Compression. ICASSP 2022: 2829-2833 - [c27]Christoph Feichtenhofer, Haoqi Fan, Yanghao Li, Kaiming He:
Masked Autoencoders As Spatiotemporal Learners. NeurIPS 2022 - [i26]Chao-Yuan Wu, Yanghao Li, Karttikeya Mangalam, Haoqi Fan, Bo Xiong, Jitendra Malik, Christoph Feichtenhofer:
MeMViT: Memory-Augmented Multiscale Vision Transformer for Efficient Long-Term Video Recognition. CoRR abs/2201.08383 (2022) - [i25]Yanghao Li, Hanzi Mao, Ross B. Girshick, Kaiming He:
Exploring Plain Vision Transformer Backbones for Object Detection. CoRR abs/2203.16527 (2022) - [i24]Christoph Feichtenhofer, Haoqi Fan, Yanghao Li, Kaiming He:
Masked Autoencoders As Spatiotemporal Learners. CoRR abs/2205.09113 (2022) - [i23]Mengmeng Xu, Cheng-Yang Fu, Yanghao Li, Bernard Ghanem, Juan-Manuel Pérez-Rúa, Tao Xiang:
Negative Frames Matter in Egocentric Visual Query 2D Localization. CoRR abs/2208.01949 (2022) - [i22]Tongda Xu, Han Gao, Chenjian Gao, Jinyong Pi, Yanghao Li, Yuanyuan Wang, Ziyu Zhu, Dailan He, Mao Ye, Hongwei Qin, Yan Wang:
Bit Allocation using Optimization. CoRR abs/2209.09422 (2022) - [i21]Mengmeng Xu, Yanghao Li, Cheng-Yang Fu, Bernard Ghanem, Tao Xiang, Juan-Manuel Pérez-Rúa:
Where is my Wallet? Modeling Object Proposal Sets for Egocentric Visual Query Localization. CoRR abs/2211.10528 (2022) - [i20]Yanghao Li, Haoqi Fan, Ronghang Hu, Christoph Feichtenhofer, Kaiming He:
Scaling Language-Image Pre-training via Masking. CoRR abs/2212.00794 (2022) - [i19]Po-Yao Huang, Vasu Sharma, Hu Xu, Chaitanya Ryali, Haoqi Fan, Yanghao Li, Shang-Wen Li, Gargi Ghosh, Jitendra Malik, Christoph Feichtenhofer:
MAViL: Masked Audio-Video Learners. CoRR abs/2212.08071 (2022) - 2021
- [c26]Yanghao Li, Tushar Nagarajan, Bo Xiong, Kristen Grauman:
Ego-Exo: Transferring Visual Representations From Third-Person to First-Person Videos. CVPR 2021: 6943-6953 - [c25]Xinyao Chen, Yiwei Zhang, Yanghao Li, Jiangtao Wen:
Decision Tree Based Inter Partition Termination For Av1 Encoding. ICASSP 2021: 1585-1589 - [c24]Yanghao Li, Bichuan Guo, Jiangtao Wen, Zhen Xia, Shan Liu, Yuxing Han:
Learning Model-Blind Temporal Denoisers without Ground Truths. ICASSP 2021: 2055-2059 - [c23]Haoqi Fan, Bo Xiong, Karttikeya Mangalam, Yanghao Li, Zhicheng Yan, Jitendra Malik, Christoph Feichtenhofer:
Multiscale Vision Transformers. ICCV 2021: 6804-6815 - [c22]Haoqi Fan, Tullie Murrell, Heng Wang, Kalyan Vasudev Alwala, Yanghao Li, Yilei Li, Bo Xiong, Nikhila Ravi, Meng Li, Haichuan Yang, Jitendra Malik, Ross B. Girshick, Matt Feiszli, Aaron Adcock, Wan-Yen Lo, Christoph Feichtenhofer:
PyTorchVideo: A Deep Learning Library for Video Understanding. ACM Multimedia 2021: 3783-3786 - [i18]Yanghao Li, Tushar Nagarajan, Bo Xiong, Kristen Grauman:
Ego-Exo: Transferring Visual Representations from Third-person to First-person Videos. CoRR abs/2104.07905 (2021) - [i17]Haoqi Fan, Bo Xiong, Karttikeya Mangalam, Yanghao Li, Zhicheng Yan, Jitendra Malik, Christoph Feichtenhofer:
Multiscale Vision Transformers. CoRR abs/2104.11227 (2021) - [i16]Kristen Grauman, Andrew Westbury, Eugene Byrne, Zachary Chavis, Antonino Furnari, Rohit Girdhar, Jackson Hamburger, Hao Jiang, Miao Liu, Xingyu Liu, Miguel Martin, Tushar Nagarajan, Ilija Radosavovic, Santhosh Kumar Ramakrishnan, Fiona Ryan, Jayant Sharma, Michael Wray, Mengmeng Xu, Eric Zhongcong Xu, Chen Zhao, Siddhant Bansal, Dhruv Batra, Vincent Cartillier, Sean Crane, Tien Do, Morrie Doulaty, Akshay Erapalli, Christoph Feichtenhofer, Adriano Fragomeni, Qichen Fu, Christian Fuegen, Abrham Gebreselasie, Cristina González, James Hillis, Xuhua Huang, Yifei Huang, Wenqi Jia, Weslie Khoo, Jáchym Kolár, Satwik Kottur, Anurag Kumar, Federico Landini, Chao Li, Yanghao Li, Zhenqiang Li, Karttikeya Mangalam, Raghava Modhugu, Jonathan Munro, Tullie Murrell, Takumi Nishiyasu, Will Price, Paola Ruiz Puentes, Merey Ramazanova, Leda Sari, Kiran Somasundaram, Audrey Southerland, Yusuke Sugano, Ruijie Tao, Minh Vo, Yuchen Wang, Xindi Wu, Takuma Yagi, Yunyi Zhu, Pablo Arbeláez, David Crandall, Dima Damen, Giovanni Maria Farinella, Bernard Ghanem, Vamsi Krishna Ithapu, C. V. Jawahar, Hanbyul Joo, Kris Kitani, Haizhou Li, Richard A. Newcombe, Aude Oliva, Hyun Soo Park, James M. Rehg, Yoichi Sato, Jianbo Shi, Mike Zheng Shou, Antonio Torralba, Lorenzo Torresani, Mingfei Yan, Jitendra Malik:
Ego4D: Around the World in 3, 000 Hours of Egocentric Video. CoRR abs/2110.07058 (2021) - [i15]Kaiming He, Xinlei Chen, Saining Xie, Yanghao Li, Piotr Dollár, Ross B. Girshick:
Masked Autoencoders Are Scalable Vision Learners. CoRR abs/2111.06377 (2021) - [i14]Haoqi Fan, Tullie Murrell, Heng Wang, Kalyan Vasudev Alwala, Yanghao Li, Yilei Li, Bo Xiong, Nikhila Ravi, Meng Li, Haichuan Yang, Jitendra Malik, Ross B. Girshick, Matt Feiszli, Aaron Adcock, Wan-Yen Lo, Christoph Feichtenhofer:
PyTorchVideo: A Deep Learning Library for Video Understanding. CoRR abs/2111.09887 (2021) - [i13]Yanghao Li, Saining Xie, Xinlei Chen, Piotr Dollár, Kaiming He, Ross B. Girshick:
Benchmarking Detection Transfer Learning with Vision Transformers. CoRR abs/2111.11429 (2021) - [i12]Yanghao Li, Chao-Yuan Wu, Haoqi Fan, Karttikeya Mangalam, Bo Xiong, Jitendra Malik, Christoph Feichtenhofer:
Improved Multiscale Vision Transformers for Classification and Detection. CoRR abs/2112.01526 (2021) - 2020
- [j5]Sijie Song, Jiaying Liu, Yanghao Li, Zongming Guo:
Modality Compensation Network: Cross-Modal Adaptation for Action Recognition. IEEE Trans. Image Process. 29: 3957-3969 (2020) - [j4]Jiaying Liu, Sijie Song, Chunhui Liu, Yanghao Li, Yueyu Hu:
A Benchmark Dataset and Comparison Study for Multi-modal Human Action Analytics. ACM Trans. Multim. Comput. Commun. Appl. 16(2): 41:1-41:24 (2020) - [c21]Tushar Nagarajan, Yanghao Li, Christoph Feichtenhofer, Kristen Grauman:
Ego-Topo: Environment Affordances From Egocentric Video. CVPR 2020: 160-169 - [i11]Tushar Nagarajan, Yanghao Li, Christoph Feichtenhofer, Kristen Grauman:
EGO-TOPO: Environment Affordances from Egocentric Video. CoRR abs/2001.04583 (2020) - [i10]Sijie Song, Jiaying Liu, Yanghao Li, Zongming Guo:
Modality Compensation Network: Cross-Modal Adaptation for Action Recognition. CoRR abs/2001.11657 (2020)
2010 – 2019
- 2019
- [j3]Yuntao Chen, Chenxia Han, Yanghao Li, Zehao Huang, Yi Jiang, Naiyan Wang, Zhaoxiang Zhang:
SimpleDet: A Simple and Versatile Distributed Framework for Object Detection and Instance Recognition. J. Mach. Learn. Res. 20: 156:1-156:8 (2019) - [j2]Jiaying Liu, Yanghao Li, Sijie Song, Junliang Xing, Cuiling Lan, Wenjun Zeng:
Multi-Modality Multi-Task Recurrent Neural Network for Online Action Detection. IEEE Trans. Circuits Syst. Video Technol. 29(9): 2667-2682 (2019) - [c20]Yanghao Li, Sijie Song, Yuqi Li, Jiaying Liu:
Temporal Bilinear Networks for Video Action Recognition. AAAI 2019: 8674-8681 - [c19]Yanghao Li, Yuntao Chen, Naiyan Wang, Zhaoxiang Zhang:
Scale-Aware Trident Networks for Object Detection. ICCV 2019: 6053-6062 - [i9]Yanghao Li, Yuntao Chen, Naiyan Wang, Zhaoxiang Zhang:
Scale-Aware Trident Networks for Object Detection. CoRR abs/1901.01892 (2019) - [i8]Yuntao Chen, Chenxia Han, Yanghao Li, Zehao Huang, Yi Jiang, Naiyan Wang, Zhaoxiang Zhang:
SimpleDet: A Simple and Versatile Distributed Framework for Object Detection and Instance Recognition. CoRR abs/1903.05831 (2019) - 2018
- [j1]Yanghao Li, Naiyan Wang, Jianping Shi, Xiaodi Hou, Jiaying Liu:
Adaptive Batch Normalization for practical domain adaptation. Pattern Recognit. 80: 109-117 (2018) - [c18]Meiyuan Fang, Yanghao Li, Yuxing Han, Jiangtao Wen:
A Deep Convolutional Network Based Supervised Coarse-to-Fine Algorithm for Optical Flow Measurement. MMSP 2018: 1-6 - [c17]Hongda Jiang, Yanghao Li, Sijie Song, Jiaying Liu:
Rethinking Fusion Baselines for Multi-modal Human Action Recognition. PCM (3) 2018: 178-187 - [c16]Jingtao Ding, Yanghao Li, Yong Li, Depeng Jin:
Click versus Share: A Feature-driven Study of Micro-Video Popularity and Virality in Social Media. SDM 2018: 198-206 - [i7]Yanghao Li, Sijie Song, Yuqi Li, Jiaying Liu:
Temporal Bilinear Networks for Video Action Recognition. CoRR abs/1811.09974 (2018) - 2017
- [c15]Yueyu Hu, Chunhui Liu, Yanghao Li, Jiaying Liu:
Temporal Perceptive Network for Skeleton-Based Action Recognition. BMVC 2017 - [c14]Chunhui Liu, Yanghao Li, Yueyu Hu, Jiaying Liu:
Online action detection and forecast via Multitask deep Recurrent Neural Networks. ICASSP 2017: 1702-1706 - [c13]Yanghao Li, Naiyan Wang, Jiaying Liu, Xiaodi Hou:
Factorized Bilinear Models for Image Recognition. ICCV 2017: 2098-2106 - [c12]Yuqi Li, Yanghao Li, Hongfei Yan, Jiaying Liu:
Deep joint discriminative learning for vehicle re-identification and retrieval. ICIP 2017: 395-399 - [c11]Yanghao Li, Naiyan Wang, Jianping Shi, Jiaying Liu, Xiaodi Hou:
Revisiting Batch Normalization For Practical Domain Adaptation. ICLR (Workshop) 2017 - [c10]Yanghao Li, Naiyan Wang, Jiaying Liu, Xiaodi Hou:
Demystifying Neural Style Transfer. IJCAI 2017: 2230-2236 - [c9]Chunhui Liu, Yueyu Hu, Yanghao Li, Sijie Song, Jiaying Liu:
PKU-MMD: A Large Scale Benchmark for Skeleton-Based Human Action Understanding. VSCC@MM 2017: 1-8 - [c8]Jingtao Ding, Yanghao Li, Yong Li, Pan Hui, Depeng Jin:
Characterizing the Click and Share Dynamics of Micro-Videos in Social Media. SIGCOMM Posters and Demos 2017: 54-56 - [i6]Yanghao Li, Naiyan Wang, Jiaying Liu, Xiaodi Hou:
Demystifying Neural Style Transfer. CoRR abs/1701.01036 (2017) - [i5]Chunhui Liu, Yueyu Hu, Yanghao Li, Sijie Song, Jiaying Liu:
PKU-MMD: A Large Scale Benchmark for Continuous Multi-Modal Human Action Understanding. CoRR abs/1703.07475 (2017) - 2016
- [c7]Wentao Zhu, Cuiling Lan, Junliang Xing, Wenjun Zeng, Yanghao Li, Li Shen, Xiaohui Xie:
Co-Occurrence Feature Learning for Skeleton Based Action Recognition Using Regularized Deep LSTM Networks. AAAI 2016: 3697-3704 - [c6]Yanghao Li, Cuiling Lan, Junliang Xing, Wenjun Zeng, Chunfeng Yuan, Jiaying Liu:
Online Human Action Detection Using Joint Classification-Regression Recurrent Neural Networks. ECCV (7) 2016: 203-220 - [c5]Sijie Song, Yanghao Li, Jiaying Liu, Zongming Quo:
Joint sub-band based neighbor embedding for image super-resolution. ICASSP 2016: 1661-1665 - [i4]Yanghao Li, Naiyan Wang, Jianping Shi, Jiaying Liu, Xiaodi Hou:
Revisiting Batch Normalization For Practical Domain Adaptation. CoRR abs/1603.04779 (2016) - [i3]Wentao Zhu, Cuiling Lan, Junliang Xing, Wenjun Zeng, Yanghao Li, Li Shen, Xiaohui Xie:
Co-occurrence Feature Learning for Skeleton based Action Recognition using Regularized Deep LSTM Networks. CoRR abs/1603.07772 (2016) - [i2]Yanghao Li, Cuiling Lan, Junliang Xing, Wenjun Zeng, Chunfeng Yuan, Jiaying Liu:
Online Human Action Detection using Joint Classification-Regression Recurrent Neural Networks. CoRR abs/1604.05633 (2016) - [i1]Yanghao Li, Naiyan Wang, Jiaying Liu, Xiaodi Hou:
Factorized Bilinear Models for Image Recognition. CoRR abs/1611.05709 (2016) - 2015
- [c4]Sijie Song, Yanghao Li, Zhihan Gao, Jiaying Liu:
Face hallucination based on neighbor embedding via illumination adaptation. APSIPA 2015: 680-683 - [c3]Yanghao Li, Jiaying Liu, Wenhan Yang, Zongming Guo:
Neighborhood regression for edge-preserving image super-resolution. ICASSP 2015: 1201-1205 - [c2]Yanghao Li, Jiaying Liu, Wenhan Yang, Zongming Guo:
Multi-pose face hallucination via neighbor embedding for facial components. ICIP 2015: 4037-4041 - 2014
- [c1]Wei Bai, Yanghao Li, Jiaying Liu, Zongming Guo:
Image transformation using limited reference with application to photo-sketch synthesis. VCIP 2014: 41-44
Coauthor Index
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last updated on 2024-11-28 20:33 CET by the dblp team
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