Song Bai

Anchor Diffusion for Unsupervised Video Object Segmentation

Unsupervised video object segmentation has often been tackled by methods...
10/24/2019 ∙ by Zhao Yang, et al. ∙ 13 ∙ share

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AutoScale: Learning to Scale for Crowd Counting

Crowd counting in images is a widely explored but challenging task. Thou...
12/20/2019 ∙ by Chenfeng Xu, et al. ∙ 13 ∙ share

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Learning Attraction Field Representation for Robust Line Segment Detection

This paper presents a region-partition based attraction field dual repre...
12/05/2018 ∙ by Nan Xue, et al. ∙ 12 ∙ share

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Learning Regional Attraction for Line Segment Detection

This paper presents regional attraction of line segment maps, and hereby...
12/18/2019 ∙ by Nan Xue, et al. ∙ 9 ∙ share

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Learn to Interpret Atari Agents

Deep Reinforcement Learning (DeepRL) models surpass human-level performa...
12/29/2018 ∙ by Zhao Yang, et al. ∙ 8 ∙ share

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Symmetry-constrained Rectification Network for Scene Text Recognition

Reading text in the wild is a very challenging task due to the diversity...
08/06/2019 ∙ by Mingkun Yang, et al. ∙ 8 ∙ share

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Asymmetric Non-local Neural Networks for Semantic Segmentation

The non-local module works as a particularly useful technique for semant...
08/21/2019 ∙ by Zhen Zhu, et al. ∙ 8 ∙ share

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View N-gram Network for 3D Object Retrieval

How to aggregate multi-view representations of a 3D shape object into an...
08/06/2019 ∙ by Xinwei He, et al. ∙ 6 ∙ share

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Regional Homogeneity: Towards Learning Transferable Universal Adversarial Perturbations Against Defenses

This paper focuses on learning transferable adversarial examples specifi...
04/01/2019 ∙ by Yingwei Li, et al. ∙ 4 ∙ share

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Learn to Scale: Generating Multipolar Normalized Density Map for Crowd Counting

Dense crowd counting aims to predict thousands of human instances from a...
07/29/2019 ∙ by Chenfeng Xu, et al. ∙ 3 ∙ share

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Divide and Fuse: A Re-ranking Approach for Person Re-identification

As re-ranking is a necessary procedure to boost person re-identification...
08/11/2017 ∙ by Rui Yu, et al. ∙ 0 ∙ share

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Scalable Person Re-identification on Supervised Smoothed Manifold

Most existing person re-identification algorithms either extract robust ...
03/24/2017 ∙ by Song Bai, et al. ∙ 0 ∙ share

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GIFT: A Real-time and Scalable 3D Shape Search Engine

Projective analysis is an important solution for 3D shape retrieval, sin...
04/07/2016 ∙ by Song Bai, et al. ∙ 0 ∙ share

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Deep Learning Representation using Autoencoder for 3D Shape Retrieval

We study the problem of how to build a deep learning representation for ...
09/25/2014 ∙ by Zhuotun Zhu, et al. ∙ 0 ∙ share

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Triplet-Center Loss for Multi-View 3D Object Retrieval

Most existing 3D object recognition algorithms focus on leveraging the s...
03/16/2018 ∙ by Xinwei He, et al. ∙ 0 ∙ share

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PCL: Proposal Cluster Learning for Weakly Supervised Object Detection

Weakly Supervised Object Detection (WSOD), using only image-level annota...
07/09/2018 ∙ by Peng Tang, et al. ∙ 0 ∙ share

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Hard-Aware Point-to-Set Deep Metric for Person Re-identification

Person re-identification (re-ID) is a highly challenging task due to lar...
07/30/2018 ∙ by Rui Yu, et al. ∙ 0 ∙ share

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Learning Transferable Adversarial Examples via Ghost Networks

The recent development of adversarial attack has proven that ensemble-ba...
12/09/2018 ∙ by Yingwei Li, et al. ∙ 0 ∙ share

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Hypergraph Convolution and Hypergraph Attention

Recently, graph neural networks have attracted great attention and achie...
01/23/2019 ∙ by Song Bai, et al. ∙ 0 ∙ share

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Adversarial Metric Attack for Person Re-identification

Person re-identification (re-ID) has attracted much attention recently d...
01/30/2019 ∙ by Song Bai, et al. ∙ 0 ∙ share

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CenterNet: Object Detection with Keypoint Triplets

In object detection, keypoint-based approaches often suffer a large numb...
04/17/2019 ∙ by Kaiwen Duan, et al. ∙ 0 ∙ share

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CenterNet: Keypoint Triplets for Object Detection

In object detection, keypoint-based approaches often suffer a large numb...
04/17/2019 ∙ by Kaiwen Duan, et al. ∙ 0 ∙ share

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Prior-aware Neural Network for Partially-Supervised Multi-Organ Segmentation

Accurate multi-organ abdominal CT segmentation is essential to many clin...
04/12/2019 ∙ by Yuyin Zhou, et al. ∙ 0 ∙ share

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Learn to Scale: Generating Multipolar Normalized Density Maps for Crowd Counting

Dense crowd counting aims to predict thousands of human instances from a...
07/29/2019 ∙ by Chenfeng Xu, et al. ∙ 0 ∙ share

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Song Bai

Featured Co-authors

Philip H. S. Torr

Qi Tian

Alan Yuille

Li Zhang

Xiang Bai

Lingxi Xie

Masayoshi Tomizuka

Alan L. Yuille

Xiaohui Shen

Wei Shen

Liangpei Zhang

Anchor Diffusion for Unsupervised Video Object Segmentation

AutoScale: Learning to Scale for Crowd Counting

Learning Attraction Field Representation for Robust Line Segment Detection

Learning Regional Attraction for Line Segment Detection

Learn to Interpret Atari Agents

Symmetry-constrained Rectification Network for Scene Text Recognition

Asymmetric Non-local Neural Networks for Semantic Segmentation

View N-gram Network for 3D Object Retrieval

Regional Homogeneity: Towards Learning Transferable Universal Adversarial Perturbations Against Defenses

Learn to Scale: Generating Multipolar Normalized Density Map for Crowd Counting

Divide and Fuse: A Re-ranking Approach for Person Re-identification

Scalable Person Re-identification on Supervised Smoothed Manifold

GIFT: A Real-time and Scalable 3D Shape Search Engine

Deep Learning Representation using Autoencoder for 3D Shape Retrieval

Triplet-Center Loss for Multi-View 3D Object Retrieval

PCL: Proposal Cluster Learning for Weakly Supervised Object Detection

Hard-Aware Point-to-Set Deep Metric for Person Re-identification

Learning Transferable Adversarial Examples via Ghost Networks

Hypergraph Convolution and Hypergraph Attention

Adversarial Metric Attack for Person Re-identification

CenterNet: Object Detection with Keypoint Triplets

CenterNet: Keypoint Triplets for Object Detection

Prior-aware Neural Network for Partially-Supervised Multi-Organ Segmentation

Learn to Scale: Generating Multipolar Normalized Density Maps for Crowd Counting