b'Fumin Shen'

research

∙ 07/18/2022

Hierarchical Feature Alignment Network for Unsupervised Video Object Segmentation

Optical flow is an easily conceived and precious cue for advancing unsup...

Gensheng Pei, et al. ∙

research

∙ 06/20/2022

Saliency Guided Inter- and Intra-Class Relation Constraints for Weakly Supervised Semantic Segmentation

Weakly supervised semantic segmentation with only image-level labels aim...

Tao Chen, et al. ∙

research

∙ 08/05/2021

Webly Supervised Fine-Grained Recognition: Benchmark Datasets and An Approach

Learning from the web can ease the extreme dependence of deep learning o...

Zeren Sun, et al. ∙

research

∙ 05/17/2021

Prototype-supervised Adversarial Network for Targeted Attack of Deep Hashing

Due to its powerful capability of representation learning and high-effic...

Xunguang Wang, et al. ∙

research

∙ 03/26/2021

Non-Salient Region Object Mining for Weakly Supervised Semantic Segmentation

Semantic segmentation aims to classify every pixel of an input image. Co...

Yazhou Yao, et al. ∙

research

∙ 03/24/2021

Jo-SRC: A Contrastive Approach for Combating Noisy Labels

Due to the memorization effect in Deep Neural Networks (DNNs), training ...

Yazhou Yao, et al. ∙

research

∙ 02/22/2021

Semantically Meaningful Class Prototype Learning for One-Shot Image Semantic Segmentation

One-shot semantic image segmentation aims to segment the object regions ...

Tao Chen, et al. ∙

research

∙ 01/23/2021

Exploiting Web Images for Fine-Grained Visual Recognition by Eliminating Noisy Samples and Utilizing Hard Ones

Labeling objects at a subordinate level typically requires expert knowle...

Huafeng Liu, et al. ∙

research

∙ 11/09/2020

Dual ResGCN for Balanced Scene GraphGeneration

Visual scene graph generation is a challenging task. Previous works have...

Jingyi Zhang, et al. ∙

research

∙ 02/27/2020

Auto-Encoding Twin-Bottleneck Hashing

Conventional unsupervised hashing methods usually take advantage of simi...

Yuming Shen, et al. ∙

research

∙ 09/16/2019

Fast Large-Scale Discrete Optimization Based on Principal Coordinate Descent

Binary optimization, a representative subclass of discrete optimization,...

Huan Xiong, et al. ∙

research

∙ 08/27/2019

Cooperative Cross-Stream Network for Discriminative Action Representation

Spatial and temporal stream model has gained great success in video acti...

Jingran Zhang, et al. ∙

research

∙ 08/27/2019

MetaMixUp: Learning Adaptive Interpolation Policy of MixUp with Meta-Learning

MixUp is an effective data augmentation method to regularize deep neural...

Zhijun Mai, et al. ∙

research

∙ 08/27/2019

Temporal Reasoning Graph for Activity Recognition

Despite great success has been achieved in activity analysis, it still h...

Jingran Zhang, et al. ∙

research

∙ 08/20/2019

Make a Face: Towards Arbitrary High Fidelity Face Manipulation

Recent studies have shown remarkable success in face manipulation task w...

Shengju Qian, et al. ∙

research

∙ 06/07/2019

Extracting Visual Knowledge from the Internet: Making Sense of Image Data

Recent successes in visual recognition can be primarily attributed to fe...

Yazhou Yao, et al. ∙

research

∙ 05/27/2019

Dynamically Visual Disambiguation of Keyword-based Image Search

Due to the high cost of manual annotation, learning directly from the we...

Yazhou Yao, et al. ∙

research

∙ 05/10/2019

Exact Adversarial Attack to Image Captioning via Structured Output Learning with Latent Variables

In this work, we study the robustness of a CNN+RNN based image captionin...

Yan Xu, et al. ∙

research

∙ 04/24/2019

A Large-scale Varying-view RGB-D Action Dataset for Arbitrary-view Human Action Recognition

Current researches of action recognition mainly focus on single-view and...

Yanli Ji, et al. ∙

research

∙ 09/25/2018

Collaborative Learning for Extremely Low Bit Asymmetric Hashing

Extremely low bit (e.g., 4-bit) hashing is in high demand for retrieval ...

Yadan Luo, et al. ∙

research

∙ 09/17/2018

Highly-Economized Multi-View Binary Compression for Scalable Image Clustering

How to economically cluster large-scale multi-view images is a long-stan...

Zheng Zhang, et al. ∙

research

∙ 03/06/2018

Zero-Shot Sketch-Image Hashing

Recent studies show that large-scale sketch-based image retrieval (SBIR)...

Yuming Shen, et al. ∙

research

∙ 02/27/2018

Neural Stereoscopic Image Style Transfer

Neural style transfer is an emerging technique which is able to endow da...

Xinyu Gong, et al. ∙

research

∙ 09/15/2017

Joint Hierarchical Category Structure Learning and Large-Scale Image Classification

We investigate the scalable image classification problem with a large nu...

Yanyun Qu, et al. ∙

research

∙ 08/22/2017

Towards Automatic Construction of Diverse, High-quality Image Dataset

The availability of labeled image datasets has been shown critical for h...

Yazhou Yao, et al. ∙

research

∙ 05/04/2017

From Zero-shot Learning to Conventional Supervised Classification: Unseen Visual Data Synthesis

Robust object recognition systems usually rely on powerful feature extra...

Yang Long, et al. ∙

research

∙ 03/16/2017

Deep Sketch Hashing: Fast Free-hand Sketch-Based Image Retrieval

Free-hand sketch-based image retrieval (SBIR) is a specific cross-view r...

Li Liu, et al. ∙

research

∙ 03/16/2017

Refining Image Categorization by Exploiting Web Images and General Corpus

Studies show that refining real-world categories into semantic subcatego...

Yazhou Yao, et al. ∙

research

∙ 01/03/2017

Robust and Real-time Deep Tracking Via Multi-Scale Domain Adaptation

Visual tracking is a fundamental problem in computer vision. Recently, s...

Xinyu Wang, et al. ∙

research

∙ 12/15/2016

Recurrent Image Captioner: Describing Images with Spatial-Invariant Transformation and Attention Filtering

Along with the prosperity of recurrent neural network in modelling seque...

Hao Liu, et al. ∙

research

∙ 12/06/2016

Binary Subspace Coding for Query-by-Image Video Retrieval

The query-by-image video retrieval (QBIVR) task has been attracting cons...

Ruicong Xu, et al. ∙

research

∙ 11/22/2016

Exploiting Web Images for Dataset Construction: A Domain Robust Approach

Labelled image datasets have played a critical role in high-level image ...

Yazhou Yao, et al. ∙

research

∙ 06/16/2016

Zero-Shot Hashing via Transferring Supervised Knowledge

Hashing has shown its efficiency and effectiveness in facilitating large...

Yang Yang, et al. ∙

research

∙ 06/15/2016

Bidirectional Long-Short Term Memory for Video Description

Video captioning has been attracting broad research attention in multime...

Yi Bin, et al. ∙

research

∙ 03/14/2016

Learning Binary Codes and Binary Weights for Efficient Classification

This paper proposes a generic formulation that significantly expedites t...

Fumin Shen, et al. ∙

research

∙ 03/05/2015

Supervised Discrete Hashing

This paper has been withdrawn by the authour....

Fumin Shen, et al. ∙

research

∙ 12/02/2014

Hashing on Nonlinear Manifolds

Learning based hashing methods have attracted considerable attention due...

Fumin Shen, et al. ∙

research

∙ 06/26/2014

Face Identification with Second-Order Pooling

Automatic face recognition has received significant performance improvem...

Fumin Shen, et al. ∙

research

∙ 06/26/2014

Face Image Classification by Pooling Raw Features

We propose a very simple, efficient yet surprisingly effective feature e...

Fumin Shen, et al. ∙

research

∙ 09/22/2013

Generic Image Classification Approaches Excel on Face Recognition

The main finding of this work is that the standard image classification ...

Fumin Shen, et al. ∙

research

∙ 04/04/2013

Fast Approximate L_infty Minimization: Speeding Up Robust Regression

Minimization of the L_∞ norm, which can be viewed as approximately solvi...

Fumin Shen, et al. ∙

Fumin Shen

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