10.1k citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- The University of SydneyAU198 papers
- Centre for Quantum Computation and Communication TechnologyAU120 papers
- UNSW SydneyAU97 papers
- Australian National UniversityAU88 papers
- Tsinghua UniversityCN80 papers
- Commonwealth Scientific and Industrial Research OrganisationAU75 papers
- Chinese Academy of SciencesCN74 papers
- Macquarie UniversityAU68 papers
- The University of MelbourneAU50 papers
- Data61AU43 papers
- ARC Centre of Excellence for Transformative Meta-Optical SystemsAU41 papers
- Nanyang Technological UniversitySG41 papers
18 papers · 2 filters
Deep Learning from Noisy Image Labels with Quality Embedding
Jiangchao Yao, Jiajie Wang, Ivor Tsang +4
There is an emerging trend to leverage noisy image datasets in many visual recognition tasks. However, the label noise among the datasets severely degenerates the \mbox{performance…
Online Product Quantization
Donna Xu, Ivor W. Tsang, Ying Zhang
Approximate nearest neighbor (ANN) search has achieved great success in many tasks. However, existing popular methods for ANN search, such as hashing and quantization methods, are…
Camera Style Adaptation for Person Re-identification
Zhun Zhong, Liang Zheng, Zhedong Zheng +2
Being a cross-camera retrieval task, person re-identification suffers from image style variations caused by different cameras. The art implicitly addresses this problem by learning…
Image-Image Domain Adaptation with Preserved Self-Similarity and Domain-Dissimilarity for Person Re-identification
Weijian Deng, Liang Zheng, Qixiang Ye +3
Person re-identification (re-ID) models trained on one domain often fail to generalize well to another. In our attempt, we present a "learning via translation" framework. In the ba…
Dual-Path Convolutional Image-Text Embeddings with Instance Loss
Zhedong Zheng, Liang Zheng, Michael Garrett +3
Matching images and sentences demands a fine understanding of both modalities. In this paper, we propose a new system to discriminatively embed the image and text to a shared visua…
Joint Hierarchical Category Structure Learning and Large-Scale Image Classification
Yanyun Qu, Li Lin, Fumin Shen +4
We investigate the scalable image classification problem with a large number of categories. Hierarchical visual data structures are helpful for improving the efficiency and perform…
An Empirical Study on Writer Identification & Verification from Intra-variable Individual Handwriting
Chandranath Adak, Bidyut B. Chaudhuri, Michael Blumenstein
The handwriting of an individual may vary substantially with factors such as mood, time, space, writing speed, writing medium and tool, writing topic, etc. It becomes challenging t…
Pedestrian Alignment Network for Large-scale Person Re-identification
Zhedong Zheng, Liang Zheng, Yi Yang
Person re-identification (person re-ID) is mostly viewed as an image retrieval problem. This task aims to search a query person in a large image pool. In practice, person re-ID usu…
Perceptual Adversarial Networks for Image-to-Image Transformation
Chaoyue Wang, Chang Xu, Chaohui Wang +1
In this paper, we propose a principled Perceptual Adversarial Networks (PAN) for image-to-image transformation tasks. Unlike existing application-specific algorithms, PAN provides…
Few-Example Object Detection with Model Communication
Xuanyi Dong, Liang Zheng, Fan Ma +2
In this paper, we study object detection using a large pool of unlabeled images and only a few labeled images per category, named "few-example object detection". The key challenge…
Part-based Deep Hashing for Large-scale Person Re-identification
Fuqing Zhu, Xiangwei Kong, Liang Zheng +2
Large-scale is a trend in person re-identification (re-id). It is important that real-time search be performed in a large gallery. While previous methods mostly focus on discrimina…
Twitter100k: A Real-world Dataset for Weakly Supervised Cross-Media Retrieval
Yuting Hu, Liang Zheng, Yi Yang +1
This paper contributes a new large-scale dataset for weakly supervised cross-media retrieval, named Twitter100k. Current datasets, such as Wikipedia, NUS Wide and Flickr30k, have t…
More is Less: A More Complicated Network with Less Inference Complexity
Xuanyi Dong, Junshi Huang, Yi Yang +1
In this paper, we present a novel and general network structure towards accelerating the inference process of convolutional neural networks, which is more complicated in network st…
Improving Person Re-identification by Attribute and Identity Learning
Yutian Lin, Liang Zheng, Zhedong Zheng +4
Person re-identification (re-ID) and attribute recognition share a common target at learning pedestrian descriptions. Their difference consists in the granularity. Most existing re…
SVDNet for Pedestrian Retrieval
Yifan Sun, Liang Zheng, Weijian Deng +1
This paper proposes the SVDNet for retrieval problems, with focus on the application of person re-identification (re-ID). We view each weight vector within a fully connected (FC) l…
Pose Invariant Embedding for Deep Person Re-identification
Liang Zheng, Yujia Huang, Huchuan Lu +1
Pedestrian misalignment, which mainly arises from detector errors and pose variations, is a critical problem for a robust person re-identification (re-ID) system. With bad alignmen…
Re-ranking Person Re-identification with k-reciprocal Encoding
Zhun Zhong, Liang Zheng, Donglin Cao +1
When considering person re-identification (re-ID) as a retrieval process, re-ranking is a critical step to improve its accuracy. Yet in the re-ID community, limited effort has been…
Unlabeled Samples Generated by GAN Improve the Person Re-identification Baseline in vitro
Zhedong Zheng, Liang Zheng, Yi Yang
The main contribution of this paper is a simple semi-supervised pipeline that only uses the original training set without collecting extra data. It is challenging in 1) how to obta…