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Nyströmformer: A Nyström-Based Algorithm for Approximating Self-Attention


Feb 07, 2021
Yunyang Xiong, Zhanpeng Zeng, Rudrasis Chakraborty, Mingxing Tan, Glenn Fung, Yin Li, Vikas Singh

* AAAI 2021 

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Dual-stream Multiple Instance Learning Network for Whole Slide Image Classification with Self-supervised Contrastive Learning


Nov 17, 2020
Bin Li, Yin Li, Kevin W. Eliceiri


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ApproxDet: Content and Contention-Aware Approximate Object Detection for Mobiles


Oct 21, 2020
Ran Xu, Chen-lin Zhang, Pengcheng Wang, Jayoung Lee, Subrata Mitra, Somali Chaterji, Yin Li, Saurabh Bagchi

* Accepted to appear at the 18th ACM Conference on Embedded Networked Sensor Systems (SenSys), 2020 

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AI-assisted super-resolution cosmological simulations


Oct 13, 2020
Yin Li, Yueying Ni, Rupert A. C. Croft, Tiziana Di Matteo, Simeon Bird, Yu Feng

* 12 pages, 8 figures 

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Comprehensive Image Captioning via Scene Graph Decomposition


Jul 23, 2020
Yiwu Zhong, Liwei Wang, Jianshu Chen, Dong Yu, Yin Li

* Accepted to ECCV 2020 

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Improving Weakly Supervised Visual Grounding by Contrastive Knowledge Distillation


Jul 03, 2020
Liwei Wang, Jing Huang, Yin Li, Kun Xu, Zhengyuan Yang, Dong Yu


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In the Eye of the Beholder: Gaze and Actions in First Person Video


May 31, 2020
Yin Li, Miao Liu, James M. Rehg

* Submitted to TPAMI 

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Interpretable and Accurate Fine-grained Recognition via Region Grouping


May 21, 2020
Zixuan Huang, Yin Li

* Accepted to CVPR 2020 (Oral) 

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Gradients as Features for Deep Representation Learning


Apr 12, 2020
Fangzhou Mu, Yingyu Liang, Yin Li

* ICLR 2020 conference paper 

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Forecasting Human Object Interaction: Joint Prediction of Motor Attention and Egocentric Activity


Nov 25, 2019
Miao Liu, Siyu Tang, Yin Li, James Rehg


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Semi Supervised Phrase Localization in a Bidirectional Caption-Image Retrieval Framework


Aug 08, 2019
Deepan Das, Noor Mohammed Ghouse, Shashank Verma, Yin Li


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Paying More Attention to Motion: Attention Distillation for Learning Video Representations


Apr 05, 2019
Miao Liu, Xin Chen, Yun Zhang, Yin Li, James M. Rehg


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Learning to Predict the Cosmological Structure Formation


Nov 15, 2018
Siyu He, Yin Li, Yu Feng, Shirley Ho, Siamak Ravanbakhsh, Wei Chen, Barnabás Póczos

* 7 pages, 5 figures, 1 table 

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Deep Crisp Boundaries: From Boundaries to Higher-level Tasks


Oct 09, 2018
Yupei Wang, Xin Zhao, Yin Li, Kaiqi Huang

* Accepted by IEEE Trans. on Image Processing 

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Learning to Grasp Without Seeing


May 10, 2018
Adithyavairavan Murali, Yin Li, Dhiraj Gandhi, Abhinav Gupta


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Learning Two-Branch Neural Networks for Image-Text Matching Tasks


May 01, 2018
Liwei Wang, Yin Li, Jing Huang, Svetlana Lazebnik

* accepted version in TPAMI 2018 

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Learning Deep Structure-Preserving Image-Text Embeddings


Apr 14, 2016
Liwei Wang, Yin Li, Svetlana Lazebnik


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Unsupervised Learning of Edges


Apr 10, 2016
Yin Li, Manohar Paluri, James M. Rehg, Piotr Dollár

* Camera ready version for CVPR 2016 

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The Secrets of Salient Object Segmentation


Jun 12, 2014
Yin Li, Xiaodi Hou, Christof Koch, James M. Rehg, Alan L. Yuille

* 15 pages, 8 figures. Conference version was accepted by CVPR 2014 

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