b'Heng Wang'

Towards Understanding the Effectiveness of Attention Mechanism

Attention Mechanism is a widely used method for improving the performanc...
06/29/2021 ∙ by Xiang Ye, et al. ∙ 0 ∙ share

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Unidentified Video Objects: A Benchmark for Dense, Open-World Segmentation

Current state-of-the-art object detection and segmentation methods work ...
04/10/2021 ∙ by Weiyao Wang, et al. ∙ 0 ∙ share

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Beyond Short Clips: End-to-End Video-Level Learning with Collaborative Memories

The standard way of training video models entails sampling at each itera...
04/02/2021 ∙ by Xitong Yang, et al. ∙ 0 ∙ share

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Is Space-Time Attention All You Need for Video Understanding?

We present a convolution-free approach to video classification built exc...
02/09/2021 ∙ by Gedas Bertasius, et al. ∙ 0 ∙ share

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From W-Net to CDGAN: Bi-temporal Change Detection via Deep Learning Techniques

Traditional change detection methods usually follow the image differenci...
03/14/2020 ∙ by Bin Hou, et al. ∙ 0 ∙ share

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CJRC: A Reliable Human-Annotated Benchmark DataSet for Chinese Judicial Reading Comprehension

We present a Chinese judicial reading comprehension (CJRC) dataset which...
12/19/2019 ∙ by Xingyi Duan, et al. ∙ 0 ∙ share

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Region and Object based Panoptic Image Synthesis through Conditional GANs

Image-to-image translation is significant to many computer vision and ma...
12/14/2019 ∙ by Heng Wang, et al. ∙ 0 ∙ share

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CAIL2019-SCM: A Dataset of Similar Case Matching in Legal Domain

In this paper, we introduce CAIL2019-SCM, Chinese AI and Law 2019 Simila...
11/20/2019 ∙ by Chaojun Xiao, et al. ∙ 0 ∙ share

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FASTER Recurrent Networks for Video Classification

Video classification methods often divide the video into short clips, do...
06/10/2019 ∙ by Linchao Zhu, et al. ∙ 0 ∙ share

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Video Modeling with Correlation Networks

Motion is a salient cue to recognize actions in video. Modern action rec...
06/07/2019 ∙ by Heng Wang, et al. ∙ 0 ∙ share

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Large-scale weakly-supervised pre-training for video action recognition

Current fully-supervised video datasets consist of only a few hundred th...
05/02/2019 ∙ by Deepti Ghadiyaram, et al. ∙ 0 ∙ share

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Video Classification with Channel-Separated Convolutional Networks

Group convolution has been shown to offer great computational savings in...
04/04/2019 ∙ by Du Tran, et al. ∙ 0 ∙ share

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Multi-task Learning for Chinese Word Usage Errors Detection

Chinese word usage errors often occur in non-native Chinese learners' wr...
04/03/2019 ∙ by Jinbin Zhang, et al. ∙ 0 ∙ share

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Defeats GAN: A Simpler Model Outperforms in Knowledge Representation Learning

The goal of knowledge representation learning is to embed entities and r...
04/03/2019 ∙ by Heng Wang, et al. ∙ 0 ∙ share

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Overview of CAIL2018: Legal Judgment Prediction Competition

In this paper, we give an overview of the Legal Judgment Prediction (LJP...
10/13/2018 ∙ by Haoxi Zhong, et al. ∙ 0 ∙ share

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CAIL2018: A Large-Scale Legal Dataset for Judgment Prediction

In this paper, we introduce the Chinese AI and Law challenge dataset (CA...
07/04/2018 ∙ by Chaojun Xiao, et al. ∙ 0 ∙ share

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Devon: Deformable Volume Network for Learning Optical Flow

We propose a lightweight neural network model, Deformable Volume Network...
02/20/2018 ∙ by Yao Lu, et al. ∙ 0 ∙ share

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SLAC: A Sparsely Labeled Dataset for Action Classification and Localization

This paper describes a procedure for the creation of large-scale video d...
12/26/2017 ∙ by Hang Zhao, et al. ∙ 0 ∙ share

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Text Generation Based on Generative Adversarial Nets with Latent Variable

In this paper, we propose a model using generative adversarial net (GAN)...
12/01/2017 ∙ by Heng Wang, et al. ∙ 0 ∙ share

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A Closer Look at Spatiotemporal Convolutions for Action Recognition

In this paper we discuss several forms of spatiotemporal convolutions fo...
11/30/2017 ∙ by Du Tran, et al. ∙ 0 ∙ share

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Concept Drift Detection and Adaptation with Hierarchical Hypothesis Testing

In a streaming environment, there is often a need for statistical predic...
07/25/2017 ∙ by Shujian Yu, et al. ∙ 0 ∙ share

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A robust and efficient video representation for action recognition

This paper introduces a state-of-the-art video representation and applie...
04/21/2015 ∙ by Heng Wang, et al. ∙ 0 ∙ share

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Concept Drift Detection for Streaming Data

Common statistical prediction models often require and assume stationari...
04/04/2015 ∙ by Heng Wang, et al. ∙ 0 ∙ share

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Heng Wang

Featured Co-authors

Yi Yang

Ting Liu

Philip H. S. Torr

Zhiyuan Liu

Cordelia Schmid

Antonio Torralba

Maosong Sun

Yann LeCun

Yong Li

Juho Kannala

Heng Huang

Towards Understanding the Effectiveness of Attention Mechanism

Unidentified Video Objects: A Benchmark for Dense, Open-World Segmentation

Beyond Short Clips: End-to-End Video-Level Learning with Collaborative Memories

Is Space-Time Attention All You Need for Video Understanding?

From W-Net to CDGAN: Bi-temporal Change Detection via Deep Learning Techniques

CJRC: A Reliable Human-Annotated Benchmark DataSet for Chinese Judicial Reading Comprehension

Region and Object based Panoptic Image Synthesis through Conditional GANs

CAIL2019-SCM: A Dataset of Similar Case Matching in Legal Domain

FASTER Recurrent Networks for Video Classification

Video Modeling with Correlation Networks

Large-scale weakly-supervised pre-training for video action recognition

Video Classification with Channel-Separated Convolutional Networks

Multi-task Learning for Chinese Word Usage Errors Detection

Defeats GAN: A Simpler Model Outperforms in Knowledge Representation Learning

Overview of CAIL2018: Legal Judgment Prediction Competition

CAIL2018: A Large-Scale Legal Dataset for Judgment Prediction

Devon: Deformable Volume Network for Learning Optical Flow

SLAC: A Sparsely Labeled Dataset for Action Classification and Localization

Text Generation Based on Generative Adversarial Nets with Latent Variable

A Closer Look at Spatiotemporal Convolutions for Action Recognition

Concept Drift Detection and Adaptation with Hierarchical Hypothesis Testing

A robust and efficient video representation for action recognition

Concept Drift Detection for Streaming Data