Liang Zheng

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University of Technology Sydney ∙ Tsinghua University ∙ Australian National University

Assistant Professor, Singapore University of Technology and Design

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

Training deep reinforcement learning agents on environments with multipl...
02/14/2021 ∙ by Jaskirat Singh, et al. ∙ 0 ∙ share

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Fine-grained Classification via Categorical Memory Networks

Motivated by the desire to exploit patterns shared across classes, we pr...
12/12/2020 ∙ by Weijian Deng, et al. ∙ 0 ∙ share

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

Generation of stroke-based non-photorealistic imagery, is an important p...
11/25/2020 ∙ by Jaskirat Singh, et al. ∙ 14 ∙ share

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Enhanced Scene Specificity with Sparse Dynamic Value Estimation

Multi-scene reinforcement learning involves training the RL agent across...
11/25/2020 ∙ by Jaskirat Singh, et al. ∙ 2 ∙ share

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Learning Object Relation Graph and Tentative Policy for Visual Navigation

Target-driven visual navigation aims at navigating an agent towards a gi...
07/21/2020 ∙ by Heming Du, et al. ∙ 0 ∙ share

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

This paper proposes a self-supervised learning method for the person re-...
07/15/2020 ∙ by Zhongdao Wang, et al. ∙ 0 ∙ share

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Are Labels Necessary for Classifier Accuracy Evaluation?

To calculate the model accuracy on a computer vision task, e.g., object ...
07/06/2020 ∙ by Weijian Deng, et al. ∙ 0 ∙ share

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Learning to simulate complex scenes

Data simulation engines like Unity are becoming an increasingly importan...
06/25/2020 ∙ by Zhenfeng Xue, et al. ∙ 0 ∙ share

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

Training deep reinforcement learning agents on environments with multipl...
05/25/2020 ∙ by Jaskirat Singh, et al. ∙ 14 ∙ share

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Correlating Edge, Pose with Parsing

According to existing studies, human body edge and pose are two benefici...
05/04/2020 ∙ by Ziwei Zhang, et al. ∙ 0 ∙ share

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The 4th AI City Challenge

The AI City Challenge was created to accelerate intelligent video analys...
04/30/2020 ∙ by Milind Naphade, et al. ∙ 0 ∙ share

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Learning to Structure an Image with Few Colors

Color and structure are the two pillars that construct an image. Usually...
03/17/2020 ∙ by Yunzhong Hou, et al. ∙ 0 ∙ share

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Circle Loss: A Unified Perspective of Pair Similarity Optimization

This paper provides a pair similarity optimization viewpoint on deep fea...
02/25/2020 ∙ by Yifan Sun, et al. ∙ 10 ∙ share

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Simulating Content Consistent Vehicle Datasets with Attribute Descent

We simulate data using a graphic engine to augment real-world datasets, ...
12/18/2019 ∙ by Yue Yao, et al. ∙ 34 ∙ share

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

Multi-target multi-camera tracking (MTMCT) systems track targets across ...
11/27/2019 ∙ by Yunzhong Hou, et al. ∙ 5 ∙ share

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Towards Real-Time Multi-Object Tracking

Modern multiple object tracking (MOT) systems usually follow the trackin...
09/27/2019 ∙ by Zhongdao Wang, et al. ∙ 0 ∙ share

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Learning to Adapt Invariance in Memory for Person Re-identification

This work considers the problem of unsupervised domain adaptation in per...
08/01/2019 ∙ by Zhun Zhong, et al. ∙ 7 ∙ share

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Joint Discriminative and Generative Learning for Person Re-identification

Person re-identification (re-id) remains challenging due to significant ...
04/15/2019 ∙ by Zhedong Zheng, et al. ∙ 20 ∙ share

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

This paper considers the domain adaptive person re-identification (re-ID...
04/03/2019 ∙ by Zhun Zhong, et al. ∙ 0 ∙ share

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Linkage Based Face Clustering via Graph Convolution Network

In this paper, we present an accurate and scalable approach to the face ...
03/27/2019 ∙ by Zhongdao Wang, et al. ∙ 0 ∙ share

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Image Classification base on PCA of Multi-view Deep Representation

In the age of information explosion, image classification is the key tec...
03/12/2019 ∙ by Yaoqi Sun, et al. ∙ 0 ∙ share

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Learning from Web Data: the Benefit of Unsupervised Object Localization

Annotating a large number of training images is very time-consuming. In ...
12/21/2018 ∙ by Xiaoxiao Sun, et al. ∙ 24 ∙ share

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Dissecting Person Re-identification from the Viewpoint of Viewpoint

In person re-identification (re-ID),In person re-identification (re-ID),...
12/05/2018 ∙ by Xiaoxiao Sun, et al. ∙ 2 ∙ share

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Domain Alignment with Triplets

Deep domain adaptation methods can reduce the distribution discrepancy b...
12/03/2018 ∙ by Weijian Deng, et al. ∙ 0 ∙ share

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

This article studies the domain adaptation problem in person re-identifi...
11/26/2018 ∙ by Weijian Deng, et al. ∙ 0 ∙ share

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Query Adaptive Late Fusion for Image Retrieval

Feature fusion is a commonly used strategy in image retrieval tasks, whi...
10/31/2018 ∙ by Zhongdao Wang, et al. ∙ 0 ∙ share

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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...
09/25/2018 ∙ by Yawei Luo, et al. ∙ 0 ∙ share

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Open Set Adversarial Examples

Adversarial examples in recent works target at closed set recognition sy...
09/07/2018 ∙ by Zhedong Zheng, et al. ∙ 0 ∙ share

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Attention-based Pyramid Aggregation Network for Visual Place Recognition

Visual place recognition is challenging in the urban environment and is ...
08/01/2018 ∙ by Yingying Zhu, et al. ∙ 10 ∙ share

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Macro-Micro Adversarial Network for Human Parsing

In human parsing, the pixel-wise classification loss has drawbacks in it...
07/22/2018 ∙ by Yawei Luo, et al. ∙ 0 ∙ share

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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...
01/30/2018 ∙ by Guoliang Kang, et al. ∙ 0 ∙ share

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

This paper considers the task of thorax disease classification on chest ...
01/30/2018 ∙ by Qingji Guan, et al. ∙ 0 ∙ share

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Camera Style Adaptation for Person Re-identification

Being a cross-camera retrieval task, person re-identification suffers fr...
11/28/2017 ∙ by Zhun Zhong, et al. ∙ 0 ∙ share

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Beyond Part Models: Person Retrieval with Refined Part Pooling

Employing part-level features for pedestrian image description offers fi...
11/26/2017 ∙ by Yifan Sun, et al. ∙ 0 ∙ share

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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...
11/19/2017 ∙ by Weijian Deng, et al. ∙ 0 ∙ share

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Dual-Path Convolutional Image-Text Embedding with Instance Loss

Matching images and sentences demands a fine understanding of both modal...
11/15/2017 ∙ by Zhedong Zheng, et al. ∙ 0 ∙ share

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Dual-Path Convolutional Image-Text Embedding

This paper considers the task of matching images and sentences. The chal...
11/15/2017 ∙ by Zhedong Zheng, et al. ∙ 0 ∙ share

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Dynamic Label Graph Matching for Unsupervised Video Re-Identification

Label estimation is an important component in an unsupervised person re-...
09/27/2017 ∙ by Mang Ye, et al. ∙ 0 ∙ share

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PatchShuffle Regularization

This paper focuses on regularizing the training of the convolutional neu...
07/22/2017 ∙ by Guoliang Kang, et al. ∙ 0 ∙ share

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Pedestrian Alignment Network for Large-scale Person Re-identification

Person re-identification (person re-ID) is mostly viewed as an image ret...
07/03/2017 ∙ by Zhedong Zheng, et al. ∙ 0 ∙ share

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Few-shot Object Detection

In this paper, we study object detection using a large pool of unlabeled...
06/26/2017 ∙ by Xuanyi Dong, et al. ∙ 0 ∙ share

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Unsupervised Person Re-identification: Clustering and Fine-tuning

The superiority of deeply learned pedestrian representations has been re...
05/30/2017 ∙ by Hehe Fan, et al. ∙ 0 ∙ share

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Part-based Deep Hashing for Large-scale Person Re-identification

Large-scale is a trend in person re-identification (re-id). It is import...
05/05/2017 ∙ by Fuqing Zhu, et al. ∙ 0 ∙ share

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Improving Person Re-identification by Attribute and Identity Learning

Person re-identification (re-ID) and attribute recognition share a commo...
03/21/2017 ∙ by Yutian Lin, et al. ∙ 0 ∙ share

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Twitter100k: A Real-world Dataset for Weakly Supervised Cross-Media Retrieval

This paper contributes a new large-scale dataset for weakly supervised c...
03/20/2017 ∙ by Yuting Hu, et al. ∙ 0 ∙ share

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SVDNet for Pedestrian Retrieval

This paper proposes the SVDNet for retrieval problems, with focus on the...
03/16/2017 ∙ by Yifan Sun, et al. ∙ 0 ∙ share

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A New Evaluation Protocol and Benchmarking Results for Extendable Cross-media Retrieval

This paper proposes a new evaluation protocol for cross-media retrieval ...
03/10/2017 ∙ by Ruoyu Liu, et al. ∙ 0 ∙ share

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Re-ranking Person Re-identification with k-reciprocal Encoding

When considering person re-identification (re-ID) as a retrieval process...
01/29/2017 ∙ by Zhun Zhong, et al. ∙ 0 ∙ share

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Pose Invariant Embedding for Deep Person Re-identification

Pedestrian misalignment, which mainly arises from detector errors and po...
01/26/2017 ∙ by Liang Zheng, et al. ∙ 0 ∙ share

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Unlabeled Samples Generated by GAN Improve the Person Re-identification Baseline in vitro

The main contribution of this paper is a simple semi-supervised pipeline...
01/26/2017 ∙ by Zhedong Zheng, et al. ∙ 0 ∙ share

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Liang Zheng

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