b'Yin Li'

Inferring Black Hole Properties from Astronomical Multivariate Time Series with Bayesian Attentive Neural Processes

Among the most extreme objects in the Universe, active galactic nuclei (...
06/02/2021 ∙ by Ji-won Park, et al. ∙ 9 ∙ share

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Egocentric Activity Recognition and Localization on a 3D Map

Given a video captured from a first person perspective and recorded in a...
05/20/2021 ∙ by Miao Liu, et al. ∙ 0 ∙ share

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Prism: Private Verifiable Set Computation over Multi-Owner Outsourced Databases

This paper proposes Prism, a secret sharing based approach to compute pr...
04/07/2021 ∙ by Yin Li, et al. ∙ 0 ∙ share

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

Transformers have emerged as a powerful tool for a broad range of natura...
02/07/2021 ∙ by Yunyang Xiong, et al. ∙ 0 ∙ share

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

Whole slide images (WSIs) have large resolutions and usually lack locali...
11/17/2020 ∙ by Bin Li, et al. ∙ 0 ∙ share

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

Advanced video analytic systems, including scene classification and obje...
10/21/2020 ∙ by Ran Xu, et al. ∙ 6 ∙ share

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Comprehensive Image Captioning via Scene Graph Decomposition

We address the challenging problem of image captioning by revisiting the...
07/23/2020 ∙ by Yiwu Zhong, et al. ∙ 3 ∙ share

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Improving Weakly Supervised Visual Grounding by Contrastive Knowledge Distillation

Weakly supervised phrase grounding aims at learning region-phrase corres...
07/03/2020 ∙ by Liwei Wang, et al. ∙ 0 ∙ share

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

We address the task of jointly determining what a person is doing and wh...
05/31/2020 ∙ by Yin Li, et al. ∙ 0 ∙ share

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Interpretable and Accurate Fine-grained Recognition via Region Grouping

We present an interpretable deep model for fine-grained visual recogniti...
05/21/2020 ∙ by Zixuan Huang, et al. ∙ 8 ∙ share

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Obscure: Information-Theoretically Secure, Oblivious, and Verifiable Aggregation Queries on Secret-Shared Outsourced Data – Full Version

Despite exciting progress on cryptography, secure and efficient query pr...
04/27/2020 ∙ by Peeyush Gupta, et al. ∙ 0 ∙ share

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Gradients as Features for Deep Representation Learning

We address the challenging problem of deep representation learning–the e...
04/12/2020 ∙ by Fangzhou Mu, et al. ∙ 10 ∙ share

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

We address the challenging task of anticipating human-object interaction...
11/25/2019 ∙ by Miao Liu, et al. ∙ 6 ∙ share

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

We introduce a novel deep neural network architecture that links visual ...
08/08/2019 ∙ by Deepan Das, et al. ∙ 5 ∙ share

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

We address the challenging problem of learning motion representations us...
04/05/2019 ∙ by Miao Liu, et al. ∙ 0 ∙ share

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Learning to Predict the Cosmological Structure Formation

Matter evolved under influence of gravity from minuscule density fluctua...
11/15/2018 ∙ by Siyu He, et al. ∙ 0 ∙ share

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Learning to Grasp Without Seeing

Can a robot grasp an unknown object without seeing it? In this paper, we...
05/10/2018 ∙ by Adithyavairavan Murali, et al. ∙ 0 ∙ share

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Privacy-Preserving Secret Shared Computations using MapReduce

Data outsourcing allows data owners to keep their data at untrusted clou...
01/31/2018 ∙ by Shlomi Dolev, et al. ∙ 0 ∙ share

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Deep Crisp Boundaries: From Boundaries to Higher-level Tasks

Edge detection has made significant progress with the help of deep Convo...
01/08/2018 ∙ by Yupei Wang, et al. ∙ 0 ∙ share

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

This paper investigates two-branch neural networks for image-text matchi...
04/11/2017 ∙ by Liwei Wang, et al. ∙ 0 ∙ share

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Learning Deep Structure-Preserving Image-Text Embeddings

This paper proposes a method for learning joint embeddings of images and...
11/19/2015 ∙ by Liwei Wang, et al. ∙ 0 ∙ share

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Unsupervised Learning of Edges

Data-driven approaches for edge detection have proven effective and achi...
11/13/2015 ∙ by Yin Li, et al. ∙ 0 ∙ share

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The Secrets of Salient Object Segmentation

In this paper we provide an extensive evaluation of fixation prediction ...
06/11/2014 ∙ by Yin Li, et al. ∙ 0 ∙ share

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Yin Li

Featured Co-authors

Wei Chen

Barnabas Poczos

Bin Li

Dong Yu

Liwei Wang

Chao Li

Abhinav Gupta

Kristen Grauman

Xin Chen

Alan L. Yuille

Kun Xu

Inferring Black Hole Properties from Astronomical Multivariate Time Series with Bayesian Attentive Neural Processes

Egocentric Activity Recognition and Localization on a 3D Map

Prism: Private Verifiable Set Computation over Multi-Owner Outsourced Databases

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

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

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

Comprehensive Image Captioning via Scene Graph Decomposition

Improving Weakly Supervised Visual Grounding by Contrastive Knowledge Distillation

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

Interpretable and Accurate Fine-grained Recognition via Region Grouping

Obscure: Information-Theoretically Secure, Oblivious, and Verifiable Aggregation Queries on Secret-Shared Outsourced Data – Full Version

Gradients as Features for Deep Representation Learning

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

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

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

Learning to Predict the Cosmological Structure Formation

Learning to Grasp Without Seeing

Privacy-Preserving Secret Shared Computations using MapReduce

Deep Crisp Boundaries: From Boundaries to Higher-level Tasks

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

Learning Deep Structure-Preserving Image-Text Embeddings

Unsupervised Learning of Edges

The Secrets of Salient Object Segmentation