Yikang Li

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Arizona State University ∙ Tsinghua University ∙ The Chinese University of Hong Kong

Lexically-constrained Text Generation through Commonsense Knowledge Extraction and Injection

Conditional text generation has been a challenging task that is yet to s...
12/19/2020 ∙ by Yikang Li, et al. ∙ 0 ∙ share

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Exploring the Hierarchy in Relation Labels for Scene Graph Generation

By assigning each relationship a single label, current approaches formul...
09/12/2020 ∙ by Yi Zhou, et al. ∙ 11 ∙ share

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Recognizing Video Events with Varying Rhythms

Recognizing Video events in long, complex videos with multiple sub-activ...
01/14/2020 ∙ by Yikang Li, et al. ∙ 11 ∙ share

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PasteGAN: A Semi-Parametric Method to Generate Image from Scene Graph

Despite some exciting progress on high-quality image generation from str...
05/05/2019 ∙ by Yikang Li, et al. ∙ 0 ∙ share

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Disentangling Pose from Appearance in Monochrome Hand Images

Hand pose estimation from the monocular 2D image is challenging due to t...
04/16/2019 ∙ by Yikang Li, et al. ∙ 6 ∙ share

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Perceive Where to Focus: Learning Visibility-aware Part-level Features for Partial Person Re-identification

This paper considers a realistic problem in person re-identification (re...
04/01/2019 ∙ by Yifan Sun, et al. ∙ 0 ∙ share

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Plan-Recognition-Driven Attention Modeling for Visual Recognition

Human visual recognition of activities or external agents involves an in...
12/02/2018 ∙ by Yantian Zha, et al. ∙ 0 ∙ share

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Mean Local Group Average Precision (mLGAP): A New Performance Metric for Hashing-based Retrieval

The research on hashing techniques for visual data is gaining increased ...
11/24/2018 ∙ by Pak Lun Kevin Ding, et al. ∙ 0 ∙ share

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Question-Guided Hybrid Convolution for Visual Question Answering

In this paper, we propose a novel Question-Guided Hybrid Convolution (QG...
08/08/2018 ∙ by Peng Gao, et al. ∙ 0 ∙ share

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Factorizable Net: An Efficient Subgraph-based Framework for Scene Graph Generation

Generating scene graph to describe all the relations inside an image gai...
06/29/2018 ∙ by Yikang Li, et al. ∙ 0 ∙ share

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Training Neural Networks by Using Power Linear Units (PoLUs)

In this paper, we introduce "Power Linear Unit" (PoLU) which increases t...
02/01/2018 ∙ by Yikang Li, et al. ∙ 0 ∙ share

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Recognizing Plans by Learning Embeddings from Observed Action Distributions

Recent advances in visual activity recognition have raised the possibili...
12/05/2017 ∙ by Yantian Zha, et al. ∙ 0 ∙ share

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Semantically Consistent Image Completion with Fine-grained Details

Image completion has achieved significant progress due to advances in ge...
11/26/2017 ∙ by Pengpeng Liu, et al. ∙ 0 ∙ share

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Visual Question Generation as Dual Task of Visual Question Answering

Recently visual question answering (VQA) and visual question generation ...
09/21/2017 ∙ by Yikang Li, et al. ∙ 0 ∙ share

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Scene Graph Generation from Objects, Phrases and Region Captions

Object detection, scene graph generation and region captioning, which ar...
07/31/2017 ∙ by Yikang Li, et al. ∙ 0 ∙ share

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ViP-CNN: Visual Phrase Guided Convolutional Neural Network

As the intermediate level task connecting image captioning and object de...
02/23/2017 ∙ by Yikang Li, et al. ∙ 0 ∙ share

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Yikang Li

Featured Co-authors

Xiaogang Wang

Chao Zhang

Jian Sun

Wanli Ouyang

Chi Zhang

Yi Zhou

Hongsheng Li

Bolei Zhou

Subbarao Kambhampati

Jianping Shi

Irwin King

Lexically-constrained Text Generation through Commonsense Knowledge Extraction and Injection

Exploring the Hierarchy in Relation Labels for Scene Graph Generation

Recognizing Video Events with Varying Rhythms

PasteGAN: A Semi-Parametric Method to Generate Image from Scene Graph

Disentangling Pose from Appearance in Monochrome Hand Images

Perceive Where to Focus: Learning Visibility-aware Part-level Features for Partial Person Re-identification

Plan-Recognition-Driven Attention Modeling for Visual Recognition

Mean Local Group Average Precision (mLGAP): A New Performance Metric for Hashing-based Retrieval

Question-Guided Hybrid Convolution for Visual Question Answering

Factorizable Net: An Efficient Subgraph-based Framework for Scene Graph Generation

Training Neural Networks by Using Power Linear Units (PoLUs)

Recognizing Plans by Learning Embeddings from Observed Action Distributions

Semantically Consistent Image Completion with Fine-grained Details

Visual Question Generation as Dual Task of Visual Question Answering

Scene Graph Generation from Objects, Phrases and Region Captions

ViP-CNN: Visual Phrase Guided Convolutional Neural Network