b'Liang Zheng'

research

∙ 07/14/2022

On the Strong Correlation Between Model Invariance and Generalization

Generalization and invariance are two essential properties of any machin...

Weijian Deng, et al. ∙

research

∙ 02/28/2022

Attribute Descent: Simulating Object-Centric Datasets on the Content Level and Beyond

This article aims to use graphic engines to simulate a large number of t...

Yue Yao, et al. ∙

research

∙ 12/07/2021

Voxelized 3D Feature Aggregation for Multiview Detection

Multi-view detection incorporates multiple camera views to alleviate occ...

Jiahao Ma, et al. ∙

research

∙ 12/03/2021

Action Units That Constitute Trainable Micro-expressions (and A Large-scale Synthetic Dataset)

Due to the expensive data collection process, micro-expression datasets ...

Yuchi Liu, et al. ∙

research

∙ 11/01/2021

Hierarchical Image Classification with A Literally Toy Dataset

Unsupervised domain adaptation (UDA) in image classification remains a b...

Long He, et al. ∙

research

∙ 06/30/2021

Synthetic Data Are as Good as the Real for Association Knowledge Learning in Multi-object Tracking

Association, aiming to link bounding boxes of the same identity in a vid...

Yuchi Liu, et al. ∙

research

∙ 06/16/2021

Invertible Attention

Attention has been proved to be an efficient mechanism to capture long-r...

Jiajun Zha, et al. ∙

research

∙ 06/10/2021

What Does Rotation Prediction Tell Us about Classifier Accuracy under Varying Testing Environments?

Understanding classifier decision under novel environments is central to...

Weijian Deng, et al. ∙

research

∙ 05/20/2021

VTNet: Visual Transformer Network for Object Goal Navigation

Object goal navigation aims to steer an agent towards a target object ba...

Heming Du, et al. ∙

research

∙ 05/10/2021

Boosting Semi-Supervised Face Recognition with Noise Robustness

Although deep face recognition benefits significantly from large-scale t...

Yuchi Liu, et al. ∙

research

∙ 04/01/2021

Positive Sample Propagation along the Audio-Visual Event Line

Visual and audio signals often coexist in natural environments, forming ...

Jinxing Zhou, et al. ∙

research

∙ 02/14/2021

Sparse Attention Guided Dynamic Value Estimation for Single-Task Multi-Scene Reinforcement Learning

Training deep reinforcement learning agents on environments with multipl...

Jaskirat Singh, et al. ∙

research

∙ 12/12/2020

Fine-grained Classification via Categorical Memory Networks

Motivated by the desire to exploit patterns shared across classes, we pr...

Weijian Deng, et al. ∙

research

∙ 11/25/2020

Combining Semantic Guidance and Deep Reinforcement Learning For Generating Human Level Paintings

Generation of stroke-based non-photorealistic imagery, is an important p...

Jaskirat Singh, et al. ∙

research

∙ 11/25/2020

Enhanced Scene Specificity with Sparse Dynamic Value Estimation

Multi-scene reinforcement learning involves training the RL agent across...

Jaskirat Singh, et al. ∙

research

∙ 07/21/2020

Learning Object Relation Graph and Tentative Policy for Visual Navigation

Target-driven visual navigation aims at navigating an agent towards a gi...

Heming Du, et al. ∙

research

∙ 07/15/2020

CycAs: Self-supervised Cycle Association for Learning Re-identifiable Descriptions

This paper proposes a self-supervised learning method for the person re-...

Zhongdao Wang, et al. ∙

research

∙ 07/06/2020

Are Labels Necessary for Classifier Accuracy Evaluation?

To calculate the model accuracy on a computer vision task, e.g., object ...

Weijian Deng, et al. ∙

research

∙ 06/25/2020

Learning to simulate complex scenes

Data simulation engines like Unity are becoming an increasingly importan...

Zhenfeng Xue, et al. ∙

research

∙ 05/25/2020

Dynamic Value Estimation for Single-Task Multi-Scene Reinforcement Learning

Training deep reinforcement learning agents on environments with multipl...

Jaskirat Singh, et al. ∙

research

∙ 05/04/2020

Correlating Edge, Pose with Parsing

According to existing studies, human body edge and pose are two benefici...

Ziwei Zhang, et al. ∙

research

∙ 04/30/2020

The 4th AI City Challenge

The AI City Challenge was created to accelerate intelligent video analys...

Milind Naphade, et al. ∙

research

∙ 03/17/2020

Learning to Structure an Image with Few Colors

Color and structure are the two pillars that construct an image. Usually...

Yunzhong Hou, et al. ∙

research

∙ 02/25/2020

Circle Loss: A Unified Perspective of Pair Similarity Optimization

This paper provides a pair similarity optimization viewpoint on deep fea...

Yifan Sun, et al. ∙

research

∙ 12/18/2019

Simulating Content Consistent Vehicle Datasets with Attribute Descent

We simulate data using a graphic engine to augment real-world datasets, ...

Yue Yao, et al. ∙

research

∙ 11/27/2019

Locality Aware Appearance Metric for Multi-Target Multi-Camera Tracking

Multi-target multi-camera tracking (MTMCT) systems track targets across ...

Yunzhong Hou, et al. ∙

research

∙ 09/27/2019

Towards Real-Time Multi-Object Tracking

Modern multiple object tracking (MOT) systems usually follow the trackin...

Zhongdao Wang, et al. ∙

research

∙ 08/01/2019

Learning to Adapt Invariance in Memory for Person Re-identification

This work considers the problem of unsupervised domain adaptation in per...

Zhun Zhong, et al. ∙

research

∙ 04/15/2019

Joint Discriminative and Generative Learning for Person Re-identification

Person re-identification (re-id) remains challenging due to significant ...

Zhedong Zheng, et al. ∙

research

∙ 04/03/2019

Invariance Matters: Exemplar Memory for Domain Adaptive Person Re-identification

This paper considers the domain adaptive person re-identification (re-ID...

Zhun Zhong, et al. ∙

research

∙ 03/27/2019

Linkage Based Face Clustering via Graph Convolution Network

In this paper, we present an accurate and scalable approach to the face ...

Zhongdao Wang, et al. ∙

research

∙ 03/12/2019

Image Classification base on PCA of Multi-view Deep Representation

In the age of information explosion, image classification is the key tec...

Yaoqi Sun, et al. ∙

research

∙ 12/21/2018

Learning from Web Data: the Benefit of Unsupervised Object Localization

Annotating a large number of training images is very time-consuming. In ...

Xiaoxiao Sun, et al. ∙

research

∙ 12/05/2018

Dissecting Person Re-identification from the Viewpoint of Viewpoint

In person re-identification (re-ID),In person re-identification (re-ID),...

Xiaoxiao Sun, et al. ∙

research

∙ 12/03/2018

Domain Alignment with Triplets

Deep domain adaptation methods can reduce the distribution discrepancy b...

Weijian Deng, et al. ∙

research

∙ 11/26/2018

Similarity-preserving Image-image Domain Adaptation for Person Re-identification

This article studies the domain adaptation problem in person re-identifi...

Weijian Deng, et al. ∙

research

∙ 10/31/2018

Query Adaptive Late Fusion for Image Retrieval

Feature fusion is a commonly used strategy in image retrieval tasks, whi...

Zhongdao Wang, et al. ∙

research

∙ 09/25/2018

Taking A Closer Look at Domain Shift: Category-level Adversaries for Semantics Consistent Domain Adaptation

We consider the problem of unsupervised domain adaptation in semantic se...

Yawei Luo, et al. ∙

research

∙ 09/07/2018

Open Set Adversarial Examples

Adversarial examples in recent works target at closed set recognition sy...

Zhedong Zheng, et al. ∙

research

∙ 08/01/2018

Attention-based Pyramid Aggregation Network for Visual Place Recognition

Visual place recognition is challenging in the urban environment and is ...

Yingying Zhu, et al. ∙

research

∙ 07/22/2018

Macro-Micro Adversarial Network for Human Parsing

In human parsing, the pixel-wise classification loss has drawbacks in it...

Yawei Luo, et al. ∙

research

∙ 01/30/2018

Deep Adversarial Attention Alignment for Unsupervised Domain Adaptation: the Benefit of Target Expectation Maximization

In this paper we make two contributions to unsupervised domain adaptatio...

Guoliang Kang, et al. ∙

research

∙ 01/30/2018

Diagnose like a Radiologist: Attention Guided Convolutional Neural Network for Thorax Disease Classification

This paper considers the task of thorax disease classification on chest ...

Qingji Guan, et al. ∙

research

∙ 11/28/2017

Camera Style Adaptation for Person Re-identification

Being a cross-camera retrieval task, person re-identification suffers fr...

Zhun Zhong, et al. ∙

research

∙ 11/26/2017

Beyond Part Models: Person Retrieval with Refined Part Pooling

Employing part-level features for pedestrian image description offers fi...

Yifan Sun, et al. ∙

research

∙ 11/19/2017

Image-Image Domain Adaptation with Preserved Self-Similarity and Domain-Dissimilarity for Person Re-identification

Person re-identification (re-ID) models trained on one domain often fail...

Weijian Deng, et al. ∙

research

∙ 11/15/2017

Dual-Path Convolutional Image-Text Embedding with Instance Loss

Matching images and sentences demands a fine understanding of both modal...

Zhedong Zheng, et al. ∙

research

∙ 11/15/2017

Dual-Path Convolutional Image-Text Embedding

This paper considers the task of matching images and sentences. The chal...

Zhedong Zheng, et al. ∙

research

∙ 09/27/2017

Dynamic Label Graph Matching for Unsupervised Video Re-Identification

Label estimation is an important component in an unsupervised person re-...

Mang Ye, et al. ∙

research

∙ 07/22/2017

PatchShuffle Regularization

This paper focuses on regularizing the training of the convolutional neu...

Guoliang Kang, et al. ∙

Liang Zheng

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