Search Results for author: Jianbin Jiao

Found 29 papers, 23 papers with code

P2P-Loc: Point to Point Tiny Person Localization

no code implementations31 Dec 2021 Xuehui Yu, Di wu, Qixiang Ye, Jianbin Jiao, Zhenjun Han

As a result, we propose a point self-refinement approach that iteratively updates point annotations in a self-paced way.

Object Localization

Exploring Complicated Search Spaces with Interleaving-Free Sampling

no code implementations5 Dec 2021 Yunjie Tian, Lingxi Xie, Jiemin Fang, Jianbin Jiao, Qixiang Ye, Qi Tian

In this paper, we build the search algorithm upon a complicated search space with long-distance connections, and show that existing weight-sharing search algorithms mostly fail due to the existence of \textbf{interleaved connections}.

Neural Architecture Search

Feature-Gate Coupling for Dynamic Network Pruning

1 code implementation29 Nov 2021 Mengnan Shi, Chang Liu, Qixiang Ye, Jianbin Jiao

Gating modules have been widely explored in dynamic network pruning to reduce the run-time computational cost of deep neural networks while preserving the representation of features.

Contrastive Learning Network Pruning

Semantic-Aware Generation for Self-Supervised Visual Representation Learning

1 code implementation25 Nov 2021 Yunjie Tian, Lingxi Xie, Xiaopeng Zhang, Jiemin Fang, Haohang Xu, Wei Huang, Jianbin Jiao, Qi Tian, Qixiang Ye

In this paper, we propose a self-supervised visual representation learning approach which involves both generative and discriminative proxies, where we focus on the former part by requiring the target network to recover the original image based on the mid-level features.

Ranked #56 on Semantic Segmentation on Cityscapes test (using extra training data)

Representation Learning Semantic Segmentation

Long-tailed Distribution Adaptation

1 code implementation6 Oct 2021 Zhiliang Peng, Wei Huang, Zonghao Guo, Xiaosong Zhang, Jianbin Jiao, Qixiang Ye

We propose to jointly optimize empirical risks of the unbalanced and balanced domains and approximate their domain divergence by intra-class and inter-class distances, with the aim to adapt models trained on the long-tailed distribution to general distributions in an interpretable way.

Domain Adaptation Instance Segmentation +2

GraFormer: Graph Convolution Transformer for 3D Pose Estimation

2 code implementations17 Sep 2021 Weixi Zhao, Yunjie Tian, Qixiang Ye, Jianbin Jiao, Weiqiang Wang

Exploiting relations among 2D joints plays a crucial role yet remains semi-developed in 2D-to-3D pose estimation.

3D Pose Estimation

Rethinking Sampling Strategies for Unsupervised Person Re-identification

2 code implementations7 Jul 2021 Xumeng Han, Xuehui Yu, Guorong Li, Jian Zhao, Gang Pan, Qixiang Ye, Jianbin Jiao, Zhenjun Han

Inspired by that, a simple yet effective approach is proposed, known as group sampling, which gathers groups of samples from the same class into a mini-batch.

Representation Learning Unsupervised Person Re-Identification

Anti-aliasing Semantic Reconstruction for Few-Shot Semantic Segmentation

1 code implementation CVPR 2021 Binghao Liu, Yao Ding, Jianbin Jiao, Xiangyang Ji, Qixiang Ye

Encouraging progress in few-shot semantic segmentation has been made by leveraging features learned upon base classes with sufficient training data to represent novel classes with few-shot examples.

Few-Shot Semantic Segmentation Semantic Segmentation

Conformer: Local Features Coupling Global Representations for Visual Recognition

3 code implementations ICCV 2021 Zhiliang Peng, Wei Huang, Shanzhi Gu, Lingxi Xie, YaoWei Wang, Jianbin Jiao, Qixiang Ye

Within Convolutional Neural Network (CNN), the convolution operations are good at extracting local features but experience difficulty to capture global representations.

Image Classification Instance Segmentation +3

Harmonic Feature Activation for Few-Shot Semantic Segmentation

1 code implementation IEEE Transactions on Image Processing 2021 Binghao Liu, Jianbin Jiao, Qixiang Ye

HFA is formulated as a bilinear model, which takes charge of the pixel-wise dense correlation (bilinear feature activation) between query and support images in a systematic way.

Few-Shot Semantic Segmentation Semantic Segmentation

Self-Motivated Communication Agent for Real-World Vision-Dialog Navigation

no code implementations ICCV 2021 Yi Zhu, Yue Weng, Fengda Zhu, Xiaodan Liang, Qixiang Ye, Yutong Lu, Jianbin Jiao

Vision-Dialog Navigation (VDN) requires an agent to ask questions and navigate following the human responses to find target objects.

Imitation Learning

Discretization-Aware Architecture Search

1 code implementation7 Jul 2020 Yunjie Tian, Chang Liu, Lingxi Xie, Jianbin Jiao, Qixiang Ye

The search cost of neural architecture search (NAS) has been largely reduced by weight-sharing methods.

Image Classification Neural Architecture Search

Vision-Dialog Navigation by Exploring Cross-modal Memory

1 code implementation CVPR 2020 Yi Zhu, Fengda Zhu, Zhaohuan Zhan, Bingqian Lin, Jianbin Jiao, Xiaojun Chang, Xiaodan Liang

Benefiting from the collaborative learning of the L-mem and the V-mem, our CMN is able to explore the memory about the decision making of historical navigation actions which is for the current step.

Decision Making

C-MIL: Continuation Multiple Instance Learning for Weakly Supervised Object Detection

1 code implementation CVPR 2019 Fang Wan, Chang Liu, Wei Ke, Xiangyang Ji, Jianbin Jiao, Qixiang Ye

Weakly supervised object detection (WSOD) is a challenging task when provided with image category supervision but required to simultaneously learn object locations and object detectors.

Multiple Instance Learning Weakly Supervised Object Detection +1

Min-Entropy Latent Model for Weakly Supervised Object Detection

1 code implementation CVPR 2018 Fang Wan, Pengxu Wei, Zhenjun Han, Jianbin Jiao, Qixiang Ye

Weakly supervised object detection is a challenging task when provided with image category supervision but required to learn, at the same time, object locations and object detectors.

Image Classification Weakly Supervised Object Detection +1

SIXray : A Large-scale Security Inspection X-ray Benchmark for Prohibited Item Discovery in Overlapping Images

2 code implementations2 Jan 2019 Caijing Miao, Lingxi Xie, Fang Wan, Chi Su, Hongye Liu, Jianbin Jiao, Qixiang Ye

In particular, the advantage of CHR is more significant in the scenarios with fewer positive training samples, which demonstrates its potential application in real-world security inspection.

Object Localization

Domain Alignment with Triplets

no code implementations3 Dec 2018 Weijian Deng, Liang Zheng, Jianbin Jiao

When aligning the distributions in the embedding space, SCA enforces a similarity-preserving constraint to maintain class-level relations among the source and target images, i. e., if a source image and a target image are of the same class label, their corresponding embeddings are supposed to be aligned nearby, and vise versa.

Unsupervised Domain Adaptation

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

no code implementations26 Nov 2018 Weijian Deng, Liang Zheng, Qixiang Ye, Yi Yang, Jianbin Jiao

It first preserves two types of unsupervised similarity, namely, self-similarity of an image before and after translation, and domain-dissimilarity of a translated source image and a target image.

Domain Adaptation Person Re-Identification +1

SRN: Side-output Residual Network for Object Reflection Symmetry Detection and Beyond

1 code implementation17 Jul 2018 Wei Ke, Jie Chen, Jianbin Jiao, Guoying Zhao, Qixiang Ye

The end-to-end deep learning approach, referred to as a side-output residual network (SRN), leverages the output residual units (RUs) to fit the errors between the object ground-truth symmetry and the side-outputs of multiple stages.

Edge Detection Hand Pose Estimation +1

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

2 code implementations CVPR 2018 Weijian Deng, Liang Zheng, Qixiang Ye, Guoliang Kang, Yi Yang, Jianbin Jiao

To this end, we propose to preserve two types of unsupervised similarities, 1) self-similarity of an image before and after translation, and 2) domain-dissimilarity of a translated source image and a target image.

Person Re-Identification Translation +1

SRN: Side-output Residual Network for Object Symmetry Detection in the Wild

1 code implementation CVPR 2017 Wei Ke, Jie Chen, Jianbin Jiao, Guoying Zhao, Qixiang Ye

By stacking RUs in a deep-to-shallow manner, SRN exploits the 'flow' of errors among multiple scales to ease the problems of fitting complex outputs with limited layers, suppressing the complex backgrounds, and effectively matching object symmetry of different scales.

Symmetry Detection

Oriented Response Networks

1 code implementation CVPR 2017 Yanzhao Zhou, Qixiang Ye, Qiang Qiu, Jianbin Jiao

DCNNs using ARFs, referred to as Oriented Response Networks (ORNs), can produce within-class rotation-invariant deep features while maintaining inter-class discrimination for classification tasks.

General Classification Image Classification

A scalable convolutional neural network for task-specified scenarios via knowledge distillation

no code implementations19 Sep 2016 Mengnan Shi, Fei Qin, Qixiang Ye, Zhenjun Han, Jianbin Jiao

In this paper, we explore the redundancy in convolutional neural network, which scales with the complexity of vision tasks.

Knowledge Distillation

Cannot find the paper you are looking for? You can Submit a new open access paper.