Kan Chen

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Google ∙ University of Southern California ∙ Facebook ∙ FUDAN University

A Dynamical View on Optimization Algorithms of Overparameterized Neural Networks

When equipped with efficient optimization algorithms, the over-parameter...
10/25/2020 ∙ by Zhiqi Bu, et al. ∙ 0 ∙ share

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FBNetV3: Joint Architecture-Recipe Search using Neural Acquisition Function

Neural Architecture Search (NAS) yields state-of-the-art neural networks...
06/03/2020 ∙ by Xiaoliang Dai, et al. ∙ 11 ∙ share

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CPARR: Category-based Proposal Analysis for Referring Relationships

The task of referring relationships is to localize subject and object en...
04/17/2020 ∙ by Chuanzi He, et al. ∙ 0 ∙ share

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FBNetV2: Differentiable Neural Architecture Search for Spatial and Channel Dimensions

Differentiable Neural Architecture Search (DNAS) has demonstrated great ...
04/12/2020 ∙ by Alvin Wan, et al. ∙ 17 ∙ share

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Video Object Grounding using Semantic Roles in Language Description

We explore the task of Video Object Grounding (VOG), which grounds objec...
03/24/2020 ∙ by Arka Sadhu, et al. ∙ 12 ∙ share

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Zero-Shot Grounding of Objects from Natural Language Queries

A phrase grounding system localizes a particular object in an image refe...
08/20/2019 ∙ by Arka Sadhu, et al. ∙ 3 ∙ share

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Cascaded Parallel Filtering for Memory-Efficient Image-Based Localization

Image-based localization (IBL) aims to estimate the 6DOF camera pose for...
08/16/2019 ∙ by Wentao Cheng, et al. ∙ 0 ∙ share

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Billion-scale semi-supervised learning for image classification

This paper presents a study of semi-supervised learning with large convo...
05/02/2019 ∙ by I. Zeki Yalniz, et al. ∙ 0 ∙ share

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MAC: Mining Activity Concepts for Language-based Temporal Localization

We address the problem of language-based temporal localization in untrim...
11/21/2018 ∙ by Runzhou Ge, et al. ∙ 0 ∙ share

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CTAP: Complementary Temporal Action Proposal Generation

Temporal action proposal generation is an important task, akin to object...
07/12/2018 ∙ by Jiyang Gao, et al. ∙ 0 ∙ share

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Motion-Appearance Co-Memory Networks for Video Question Answering

Video Question Answering (QA) is an important task in understanding vide...
03/29/2018 ∙ by Jiyang Gao, et al. ∙ 0 ∙ share

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Knowledge Aided Consistency for Weakly Supervised Phrase Grounding

Given a natural language query, a phrase grounding system aims to locali...
03/11/2018 ∙ by Kan Chen, et al. ∙ 0 ∙ share

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Query-guided Regression Network with Context Policy for Phrase Grounding

Given a textual description of an image, phrase grounding localizes obje...
08/04/2017 ∙ by Kan Chen, et al. ∙ 0 ∙ share

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AMC: Attention guided Multi-modal Correlation Learning for Image Search

Given a user's query, traditional image search systems rank images accor...
04/03/2017 ∙ by Kan Chen, et al. ∙ 0 ∙ share

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TURN TAP: Temporal Unit Regression Network for Temporal Action Proposals

Temporal Action Proposal (TAP) generation is an important problem, as fa...
03/17/2017 ∙ by Jiyang Gao, et al. ∙ 0 ∙ share

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Knowledge Graph Representation with Jointly Structural and Textual Encoding

The objective of knowledge graph embedding is to encode both entities an...
11/26/2016 ∙ by Jiacheng Xu, et al. ∙ 0 ∙ share

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Learning Word Embeddings from Intrinsic and Extrinsic Views

While word embeddings are currently predominant for natural language pro...
08/20/2016 ∙ by Jifan Chen, et al. ∙ 0 ∙ share

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Kan Chen

Featured Co-authors

Zheng Zhang

Qi Zhang

Xipeng Qiu

Xuanjing Huang

Joseph E. Gonzalez

Hervé Jégou

Yuandong Tian

Chen Sun

Zhaowen Wang

Ram Nevatia

Trung Bui

A Dynamical View on Optimization Algorithms of Overparameterized Neural Networks

FBNetV3: Joint Architecture-Recipe Search using Neural Acquisition Function

CPARR: Category-based Proposal Analysis for Referring Relationships

FBNetV2: Differentiable Neural Architecture Search for Spatial and Channel Dimensions

Video Object Grounding using Semantic Roles in Language Description

Zero-Shot Grounding of Objects from Natural Language Queries

Cascaded Parallel Filtering for Memory-Efficient Image-Based Localization

Billion-scale semi-supervised learning for image classification

MAC: Mining Activity Concepts for Language-based Temporal Localization

CTAP: Complementary Temporal Action Proposal Generation

Motion-Appearance Co-Memory Networks for Video Question Answering

Knowledge Aided Consistency for Weakly Supervised Phrase Grounding

Query-guided Regression Network with Context Policy for Phrase Grounding

AMC: Attention guided Multi-modal Correlation Learning for Image Search

TURN TAP: Temporal Unit Regression Network for Temporal Action Proposals

Knowledge Graph Representation with Jointly Structural and Textual Encoding

Learning Word Embeddings from Intrinsic and Extrinsic Views