b'Jungong Han'

research

∙ 03/23/2023

Exploring Structured Semantic Prior for Multi Label Recognition with Incomplete Labels

Multi-label recognition (MLR) with incomplete labels is very challenging...

0 Zixuan Ding, et al. ∙

research

∙ 11/22/2022

Confidence-guided Centroids for Unsupervised Person Re-Identification

Unsupervised person re-identification (ReID) aims to train a feature ext...

0 Yunqi Miao, et al. ∙

research

∙ 11/03/2022

Ground Plane Matters: Picking Up Ground Plane Prior in Monocular 3D Object Detection

The ground plane prior is a very informative geometry clue in monocular ...

0 Fan Yang, et al. ∙

research

∙ 10/23/2022

LCPFormer: Towards Effective 3D Point Cloud Analysis via Local Context Propagation in Transformers

Transformer with its underlying attention mechanism and the ability to c...

0 Zhuoxu Huang, et al. ∙

research

∙ 09/01/2022

MAPLE: Masked Pseudo-Labeling autoEncoder for Semi-supervised Point Cloud Action Recognition

Recognizing human actions from point cloud videos has attracted tremendo...

0 Xiaodong Chen, et al. ∙

research

∙ 08/08/2022

Boosting Video-Text Retrieval with Explicit High-Level Semantics

Video-text retrieval (VTR) is an attractive yet challenging task for mul...

0 Haoran Wang, et al. ∙

research

∙ 07/07/2022

Semi-supervised Object Detection via Virtual Category Learning

Due to the costliness of labelled data in real-world applications, semi-...

0 Changrui Chen, et al. ∙

research

∙ 05/30/2022

Re-parameterizing Your Optimizers rather than Architectures

The well-designed structures in neural networks reflect the prior knowle...

7 Xiaohan Ding, et al. ∙

research

∙ 03/29/2022

Hybrid Routing Transformer for Zero-Shot Learning

Zero-shot learning (ZSL) aims to learn models that can recognize unseen ...

0 De Cheng, et al. ∙

research

∙ 03/13/2022

Scaling Up Your Kernels to 31x31: Revisiting Large Kernel Design in CNNs

We revisit large kernel design in modern convolutional neural networks (...

4 Xiaohan Ding, et al. ∙

research

∙ 01/11/2022

On Exploring Pose Estimation as an Auxiliary Learning Task for Visible-Infrared Person Re-identification

Visible-infrared person re-identification (VI-ReID) has been challenging...

1 Yunqi Miao, et al. ∙

research

∙ 01/07/2022

Cross-Modality Deep Feature Learning for Brain Tumor Segmentation

Recent advances in machine learning and prevalence of digital medical im...

9 Dingwen Zhang, et al. ∙

research

∙ 12/21/2021

RepMLPNet: Hierarchical Vision MLP with Re-parameterized Locality

Compared to convolutional layers, fully-connected (FC) layers are better...

1 Xiaohan Ding, et al. ∙

research

∙ 09/19/2021

LODE: Deep Local Deblurring and A New Benchmark

While recent deep deblurring algorithms have achieved remarkable progres...

0 Zerun Wang, et al. ∙

research

∙ 09/03/2021

Information Symmetry Matters: A Modal-Alternating Propagation Network for Few-Shot Learning

Semantic information provides intra-class consistency and inter-class di...

0 Zhong Ji, et al. ∙

research

∙ 07/30/2021

Manipulating Identical Filter Redundancy for Efficient Pruning on Deep and Complicated CNN

The existence of redundancy in Convolutional Neural Networks (CNNs) enab...

0 Xiaohan Ding, et al. ∙

research

∙ 05/05/2021

RepMLP: Re-parameterizing Convolutions into Fully-connected Layers for Image Recognition

We propose RepMLP, a multi-layer-perceptron-style neural network buildin...

0 Xiaohan Ding, et al. ∙

research

∙ 04/23/2021

Middle-level Fusion for Lightweight RGB-D Salient Object Detection

Most existing RGB-D salient object detection (SOD) models require large ...

0 Nianchang Huang, et al. ∙

research

∙ 04/23/2021

Exploring Modality-shared Appearance Features and Modality-invariant Relation Features for Cross-modality Person Re-Identification

Most existing cross-modality person re-identification works rely on disc...

0 Nianchang Huang, et al. ∙

research

∙ 04/05/2021

Few-Cost Salient Object Detection with Adversarial-Paced Learning

Detecting and segmenting salient objects from given image scenes has rec...

0 Dingwen Zhang, et al. ∙

research

∙ 03/29/2021

Onfocus Detection: Identifying Individual-Camera Eye Contact from Unconstrained Images

Onfocus detection aims at identifying whether the focus of the individua...

0 Dingwen Zhang, et al. ∙

research

∙ 03/24/2021

Diverse Branch Block: Building a Convolution as an Inception-like Unit

We propose a universal building block of Convolutional Neural Network (C...

0 Xiaohan Ding, et al. ∙

research

∙ 02/18/2021

Densely Nested Top-Down Flows for Salient Object Detection

With the goal of identifying pixel-wise salient object regions from each...

0 Chaowei Fang, et al. ∙

research

∙ 01/11/2021

RepVGG: Making VGG-style ConvNets Great Again

We present a simple but powerful architecture of convolutional neural ne...

6 Xiaohan Ding, et al. ∙

research

∙ 12/28/2020

Perception Consistency Ultrasound Image Super-resolution via Self-supervised CycleGAN

Due to the limitations of sensors, the transmission medium and the intri...

1 Heng Liu, et al. ∙

research

∙ 07/07/2020

Lossless CNN Channel Pruning via Gradient Resetting and Convolutional Re-parameterization

Channel pruning (a.k.a. filter pruning) aims to slim down a convolutiona...

0 Xiaohan Ding, et al. ∙

research

∙ 06/17/2020

Shallow Feature Based Dense Attention Network for Crowd Counting

While the performance of crowd counting via deep learning has been impro...

0 Yunqi Miao, et al. ∙

research

∙ 03/08/2020

IMRAM: Iterative Matching with Recurrent Attention Memory for Cross-Modal Image-Text Retrieval

Enabling bi-directional retrieval of images and texts is important for u...

8 Hui Chen, et al. ∙

research

∙ 02/29/2020

NAS-Count: Counting-by-Density with Neural Architecture Search

Most of the recent advances in crowd counting have evolved from hand-des...

0 Yutao Hu, et al. ∙

research

∙ 10/24/2019

Aggregation Signature for Small Object Tracking

Small object tracking becomes an increasingly important task, which howe...

11 Chunlei Liu, et al. ∙

research

∙ 09/27/2019

Global Sparse Momentum SGD for Pruning Very Deep Neural Networks

Deep Neural Network (DNN) is powerful but computationally expensive and ...

0 Xiaohan Ding, et al. ∙

research

∙ 09/08/2019

Meta-Transfer Networks for Zero-Shot Learning

Zero-Shot Learning (ZSL) aims at recognizing unseen categories using som...

0 Yunlong Yu, et al. ∙

research

∙ 08/11/2019

ACNet: Strengthening the Kernel Skeletons for Powerful CNN via Asymmetric Convolution Blocks

As designing appropriate Convolutional Neural Network (CNN) architecture...

0 Xiaohan Ding, et al. ∙

research

∙ 06/02/2019

Incremental Few-Shot Learning for Pedestrian Attribute Recognition

Pedestrian attribute recognition has received increasing attention due t...

0 Liuyu Xiang, et al. ∙

research

∙ 05/12/2019

Approximated Oracle Filter Pruning for Destructive CNN Width Optimization

It is not easy to design and run Convolutional Neural Networks (CNNs) du...

0 Xiaohan Ding, et al. ∙

research

∙ 04/20/2019

Saliency-Guided Attention Network for Image-Sentence Matching

This paper studies the task of matching image and sentence, where learni...

0 Zhong Ji, et al. ∙

research

∙ 04/08/2019

Centripetal SGD for Pruning Very Deep Convolutional Networks with Complicated Structure

The redundancy is widely recognized in Convolutional Neural Networks (CN...

0 Xiaohan Ding, et al. ∙

research

∙ 01/27/2019

Pixelated Semantic Colorization

While many image colorization algorithms have recently shown the capabil...

2 Jiaojiao Zhao, et al. ∙

research

∙ 11/30/2018

Projection Convolutional Neural Networks for 1-bit CNNs via Discrete Back Propagation

The advancement of deep convolutional neural networks (DCNNs) has driven...

8 Jiaxin Gu, et al. ∙

research

∙ 08/05/2018

Pixel-level Semantics Guided Image Colorization

While many image colorization algorithms have recently shown the capabil...

6 Jiaojiao Zhao, et al. ∙

research

∙ 04/23/2018

Memory Attention Networks for Skeleton-based Action Recognition

Skeleton-based action recognition task is entangled with complex spatio-...

0 Chunyu Xie, et al. ∙

research

∙ 04/01/2018

One-Two-One Networks for Compression Artifacts Reduction in Remote Sensing

Compression artifacts reduction (CAR) is a challenging problem in the fi...

0 Baochang Zhang, et al. ∙

research

∙ 04/01/2018

The Structure Transfer Machine Theory and Applications

Representation learning is a fundamental but challenging problem, especi...

0 Baochang Zhang, et al. ∙

research

∙ 02/06/2018

Attribute-Guided Network for Cross-Modal Zero-Shot Hashing

Zero-Shot Hashing aims at learning a hashing model that is trained only ...

0 Zhong Ji, et al. ∙

research

∙ 11/11/2017

Latent Constrained Correlation Filter

Correlation filters are special classifiers designed for shift-invariant...

0 Baochang Zhang, et al. ∙

research

∙ 07/12/2017

Deep Fisher Discriminant Learning for Mobile Hand Gesture Recognition

Gesture recognition is a challenging problem in the field of biometrics....

0 Chunyu Xie, et al. ∙

research

∙ 05/09/2017

Deep Spatio-temporal Manifold Network for Action Recognition

Visual data such as videos are often sampled from complex manifold. We p...

0 Ce Li, 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...

0 Yang Long, et al. ∙

research

∙ 05/03/2017

Gabor Convolutional Networks

Steerable properties dominate the design of traditional filters, e.g., G...

0 Shangzhen Luan, et al. ∙

research

∙ 06/07/2016

Latent Constrained Correlation Filters for Object Localization

There is a neglected fact in the traditional machine learning methods th...

0 Shangzhen Luan, et al. ∙

Jungong Han

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