Search Results for author: Heng Wang

Found 30 papers, 10 papers with code

Proposal-based Video Completion

no code implementations ECCV 2020 Yuan-Ting Hu, Heng Wang, Nicolas Ballas, Kristen Grauman, Alexander G. Schwing

Video inpainting is an important technique for a wide variety of applications from video content editing to video restoration.

Image Inpainting Object Detection +3

Searching for Two-Stream Models in Multivariate Space for Video Recognition

no code implementations30 Aug 2021 Xinyu Gong, Heng Wang, Zheng Shou, Matt Feiszli, Zhangyang Wang, Zhicheng Yan

We design a multivariate search space, including 6 search variables to capture a wide variety of choices in designing two-stream models.

Neural Architecture Search Video Recognition

Voxel-wise Cross-Volume Representation Learning for 3D Neuron Reconstruction

no code implementations14 Aug 2021 Heng Wang, Chaoyi Zhang, Jianhui Yu, Yang song, SiQi Liu, Wojciech Chrzanowski, Weidong Cai

Recently, a series of deep learning based segmentation methods have been proposed to improve the quality of raw 3D optical image stacks by removing noises and restoring neuronal structures from low-contrast background.

Representation Learning

Towards Understanding the Effectiveness of Attention Mechanism

no code implementations29 Jun 2021 Xiang Ye, Zihang He, Heng Wang, Yong Li

Instead, we verify the crucial role of feature map multiplication in attention mechanism and uncover a fundamental impact of feature map multiplication on the learned landscapes of CNNs: with the high order non-linearity brought by the feature map multiplication, it played a regularization role on CNNs, which made them learn smoother and more stable landscapes near real samples compared to vanilla CNNs.

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

no code implementations10 Apr 2021 Weiyao Wang, Matt Feiszli, Heng Wang, Du Tran

Current state-of-the-art object detection and segmentation methods work well under the closed-world assumption.

Object Detection Object Tracking +3

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

no code implementations CVPR 2021 Xitong Yang, Haoqi Fan, Lorenzo Torresani, Larry Davis, Heng Wang

The standard way of training video models entails sampling at each iteration a single clip from a video and optimizing the clip prediction with respect to the video-level label.

Action Detection Action Recognition

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

7 code implementations9 Feb 2021 Gedas Bertasius, Heng Wang, Lorenzo Torresani

We present a convolution-free approach to video classification built exclusively on self-attention over space and time.

Action Classification Action Recognition +3

Single Neuron Segmentation using Graph-based Global Reasoning with Auxiliary Skeleton Loss from 3D Optical Microscope Images

no code implementations22 Jan 2021 Heng Wang, Yang song, Chaoyi Zhang, Jianhui Yu, SiQi Liu, Hanchuan Peng, Weidong Cai

One of the critical steps in improving accurate single neuron reconstruction from three-dimensional (3D) optical microscope images is the neuronal structure segmentation.

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

1 code implementation14 Mar 2020 Bin Hou, Qingjie Liu, Heng Wang, Yunhong Wang

Traditional change detection methods usually follow the image differencing, change feature extraction and classification framework, and their performance is limited by such simple image domain differencing and also the hand-crafted features.

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

no code implementations19 Dec 2019 Xingyi Duan, Baoxin Wang, Ziyue Wang, Wentao Ma, Yiming Cui, Dayong Wu, Shijin Wang, Ting Liu, Tianxiang Huo, Zhen Hu, Heng Wang, Zhiyuan Liu

We present a Chinese judicial reading comprehension (CJRC) dataset which contains approximately 10K documents and almost 50K questions with answers.

Machine Reading Comprehension

Region and Object based Panoptic Image Synthesis through Conditional GANs

no code implementations14 Dec 2019 Heng Wang, Donghao Zhang, Yang song, Heng Huang, Mei Chen, Weidong Cai

Our contribution consists of the proposal of a significant task worth investigating and a naive baseline of solving it.

Image-to-Image Translation

Incorporating Graph Attention Mechanism into Knowledge Graph Reasoning Based on Deep Reinforcement Learning

no code implementations IJCNLP 2019 Heng Wang, Shuangyin Li, Rong pan, Mingzhi Mao

Meanwhile, a novel mechanism of reinforcement learning is proposed by forcing an agent to walk forward every step to avoid the agent stalling at the same entity node constantly.

Graph Attention

FASTER Recurrent Networks for Efficient Video Classification

no code implementations10 Jun 2019 Linchao Zhu, Laura Sevilla-Lara, Du Tran, Matt Feiszli, Yi Yang, Heng Wang

FASTER aims to leverage the redundancy between neighboring clips and reduce the computational cost by learning to aggregate the predictions from models of different complexities.

Action Classification Action Recognition +2

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

3 code implementations CVPR 2019 Deepti Ghadiyaram, Matt Feiszli, Du Tran, Xueting Yan, Heng Wang, Dhruv Mahajan

Second, frame-based models perform quite well on action recognition; is pre-training for good image features sufficient or is pre-training for spatio-temporal features valuable for optimal transfer learning?

 Ranked #1 on Egocentric Activity Recognition on EPIC-KITCHENS-55 (Actions Top-1 (S2) metric)

Action Classification Action Recognition +3

Video Classification with Channel-Separated Convolutional Networks

5 code implementations ICCV 2019 Du Tran, Heng Wang, Lorenzo Torresani, Matt Feiszli

It is natural to ask: 1) if group convolution can help to alleviate the high computational cost of video classification networks; 2) what factors matter the most in 3D group convolutional networks; and 3) what are good computation/accuracy trade-offs with 3D group convolutional networks.

Action Classification Action Recognition +3

Multi-task Learning for Chinese Word Usage Errors Detection

no code implementations3 Apr 2019 Jinbin Zhang, Heng Wang

Chinese word usage errors often occur in non-native Chinese learners' writing.

Multi-Task Learning POS

Defeats GAN: A Simpler Model Outperforms in Knowledge Representation Learning

no code implementations3 Apr 2019 Heng Wang, Mingzhi Mao

The goal of knowledge representation learning is to embed entities and relations into a low-dimensional, continuous vector space.

Link Prediction Representation Learning

Overview of CAIL2018: Legal Judgment Prediction Competition

1 code implementation13 Oct 2018 Haoxi Zhong, Chaojun Xiao, Zhipeng Guo, Cunchao Tu, Zhiyuan Liu, Maosong Sun, Yansong Feng, Xianpei Han, Zhen Hu, Heng Wang, Jianfeng Xu

In this paper, we give an overview of the Legal Judgment Prediction (LJP) competition at Chinese AI and Law challenge (CAIL2018).

CAIL2018: A Large-Scale Legal Dataset for Judgment Prediction

2 code implementations4 Jul 2018 Chaojun Xiao, Haoxi Zhong, Zhipeng Guo, Cunchao Tu, Zhiyuan Liu, Maosong Sun, Yansong Feng, Xianpei Han, Zhen Hu, Heng Wang, Jianfeng Xu

In this paper, we introduce the \textbf{C}hinese \textbf{AI} and \textbf{L}aw challenge dataset (CAIL2018), the first large-scale Chinese legal dataset for judgment prediction.

Text Classification

Devon: Deformable Volume Network for Learning Optical Flow

no code implementations20 Feb 2018 Yao Lu, Jack Valmadre, Heng Wang, Juho Kannala, Mehrtash Harandi, Philip H. S. Torr

State-of-the-art neural network models estimate large displacement optical flow in multi-resolution and use warping to propagate the estimation between two resolutions.

Optical Flow Estimation

Text Generation Based on Generative Adversarial Nets with Latent Variable

1 code implementation1 Dec 2017 Heng Wang, Zengchang Qin, Tao Wan

We propose the VGAN model where the generative model is composed of recurrent neural network and VAE.

Language Modelling Text Generation

Concept Drift Detection and Adaptation with Hierarchical Hypothesis Testing

no code implementations25 Jul 2017 Shujian Yu, Zubin Abraham, Heng Wang, Mohak Shah, Yantao Wei, José C. Príncipe

A fundamental issue for statistical classification models in a streaming environment is that the joint distribution between predictor and response variables changes over time (a phenomenon also known as concept drifts), such that their classification performance deteriorates dramatically.

General Classification Two-sample testing

Face Aging Effect Simulation using Hidden Factor Analysis Joint Sparse Representation

no code implementations4 Nov 2015 Hongyu Yang, Di Huang, Yunhong Wang, Heng Wang, Yuanyan Tang

Face aging simulation has received rising investigations nowadays, whereas it still remains a challenge to generate convincing and natural age-progressed face images.

Concept Drift Detection for Streaming Data

no code implementations4 Apr 2015 Heng Wang, Zubin Abraham

Common statistical prediction models often require and assume stationarity in the data.

Active Community Detection in Massive Graphs

1 code implementation30 Dec 2014 Heng Wang, Da Zheng, Randal Burns, Carey Priebe

A canonical problem in graph mining is the detection of dense communities.

Social and Information Networks Physics and Society

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