Xiaopeng Zhang

Bag of Instances Aggregation Boosts Self-supervised Learning

Recent advances in self-supervised learning have experienced remarkable ...
07/04/2021 ∙ by Haohang Xu, et al. ∙ 0 ∙ share

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Multi-dataset Pretraining: A Unified Model for Semantic Segmentation

Collecting annotated data for semantic segmentation is time-consuming an...
06/08/2021 ∙ by Bowen Shi, et al. ∙ 0 ∙ share

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Mixture of Virtual-Kernel Experts for Multi-Objective User Profile Modeling

In many industrial applications like online advertising and recommendati...
06/04/2021 ∙ by Zhenhui Xu, et al. ∙ 0 ∙ share

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MSG-Transformer: Exchanging Local Spatial Information by Manipulating Messenger Tokens

Transformers have offered a new methodology of designing neural networks...
05/31/2021 ∙ by Jiemin Fang, et al. ∙ 0 ∙ share

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What Is Considered Complete for Visual Recognition?

This is an opinion paper. We hope to deliver a key message that current ...
05/28/2021 ∙ by Lingxi Xie, et al. ∙ 0 ∙ share

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Semi-supervised Contrastive Learning with Similarity Co-calibration

Semi-supervised learning acts as an effective way to leverage massive un...
05/16/2021 ∙ by Yuhang Zhang, et al. ∙ 0 ∙ share

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Deep Deformation Detail Synthesis for Thin Shell Models

In physics-based cloth animation, rich folds and detailed wrinkles are a...
02/23/2021 ∙ by Lan Chen, et al. ∙ 4 ∙ share

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Rethinking Rotated Object Detection with Gaussian Wasserstein Distance Loss

Boundary discontinuity and its inconsistency to the final detection metr...
01/28/2021 ∙ by Xue Yang, et al. ∙ 0 ∙ share

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Hierarchical Semantic Aggregation for Contrastive Representation Learning

Self-supervised learning based on instance discrimination has shown rema...
12/04/2020 ∙ by Haohang Xu, et al. ∙ 3 ∙ share

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Heterogeneous Contrastive Learning: Encoding Spatial Information for Compact Visual Representations

Contrastive learning has achieved great success in self-supervised visua...
11/19/2020 ∙ by Xinyue Huo, et al. ∙ 5 ∙ share

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Scene text removal via cascaded text stroke detection and erasing

Recent learning-based approaches show promising performance improvement ...
11/19/2020 ∙ by Xuewei Bian, et al. ∙ 2 ∙ share

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Can Semantic Labels Assist Self-Supervised Visual Representation Learning?

Recently, contrastive learning has largely advanced the progress of unsu...
11/17/2020 ∙ by Longhui Wei, et al. ∙ 0 ∙ share

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Center-wise Local Image Mixture For Contrastive Representation Learning

Recent advances in unsupervised representation learning have experienced...
11/05/2020 ∙ by Hao Li, et al. ∙ 2 ∙ share

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Weight-Sharing Neural Architecture Search: A Battle to Shrink the Optimization Gap

Neural architecture search (NAS) has attracted increasing attentions in ...
08/04/2020 ∙ by Lingxi Xie, et al. ∙ 41 ∙ share

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Accurate 2D soft segmentation of medical image via SoftGAN network

Accurate 2D lung nodules segmentation from medical Computed Tomography (...
07/29/2020 ∙ by Changwei Wang, et al. ∙ 0 ∙ share

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Searching towards Class-Aware Generators for Conditional Generative Adversarial Networks

Conditional Generative Adversarial Networks (cGAN) were designed to gene...
06/25/2020 ∙ by Peng Zhou, et al. ∙ 0 ∙ share

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Distilling Object Detectors with Task Adaptive Regularization

Current state-of-the-art object detectors are at the expense of high com...
06/23/2020 ∙ by Ruoyu Sun, et al. ∙ 9 ∙ share

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A survey on deep hashing for image retrieval

Hashing has been widely used in approximate nearest search for large-sca...
06/10/2020 ∙ by Xiaopeng Zhang, et al. ∙ 0 ∙ share

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Effective and Robust Detection of Adversarial Examples via Benford-Fourier Coefficients

Adversarial examples have been well known as a serious threat to deep ne...
05/12/2020 ∙ by Chengcheng Ma, et al. ∙ 0 ∙ share

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Multi-feature super-resolution network for cloth wrinkle synthesis

Existing physical cloth simulators suffer from expensive computation and...
04/09/2020 ∙ by Lan Chen, et al. ∙ 0 ∙ share

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Attribute Mix: Semantic Data Augmentation for Fine Grained Recognition

Collecting fine-grained labels usually requires expert-level domain know...
04/06/2020 ∙ by Hao Li, et al. ∙ 3 ∙ share

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Circumventing Outliers of AutoAugment with Knowledge Distillation

AutoAugment has been a powerful algorithm that improves the accuracy of ...
03/25/2020 ∙ by Longhui Wei, et al. ∙ 6 ∙ share

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MGCN: Descriptor Learning using Multiscale GCNs

We propose a novel framework for computing descriptors for characterizin...
01/28/2020 ∙ by Yiqun Wang, et al. ∙ 5 ∙ share

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Latency-Aware Differentiable Neural Architecture Search

Differentiable neural architecture search methods became popular in auto...
01/17/2020 ∙ by Yuhui Xu, et al. ∙ 3 ∙ share

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Capacity Preserving Mapping for High-dimensional Data Visualization

We provide a rigorous mathematical treatment to the crowding issue in da...
09/29/2019 ∙ by Rongrong Wang, et al. ∙ 0 ∙ share

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Central Similarity Hashing via Hadamard matrix

Hashing has been widely used for efficient large-scale multimedia data r...
08/01/2019 ∙ by Li Yuan, et al. ∙ 2 ∙ share

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PC-DARTS: Partial Channel Connections for Memory-Efficient Differentiable Architecture Search

Differentiable architecture search (DARTS) provided a fast solution in f...
07/12/2019 ∙ by Yuhui Xu, et al. ∙ 0 ∙ share

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Distilling Object Detectors with Fine-grained Feature Imitation

State-of-the-art CNN based recognition models are often computationally ...
06/09/2019 ∙ by Tao Wang, et al. ∙ 4 ∙ share

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Low-Power Computer Vision: Status, Challenges, Opportunities

Computer vision has achieved impressive progress in recent years. Meanwh...
04/15/2019 ∙ by Sergei Alyamkin, et al. ∙ 16 ∙ share

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Few-shot Adaptive Faster R-CNN

To mitigate the detection performance drop caused by domain shift, we ai...
03/22/2019 ∙ by Tao Wang, et al. ∙ 24 ∙ share

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Low Power Inference for On-Device Visual Recognition with a Quantization-Friendly Solution

The IEEE Low-Power Image Recognition Challenge (LPIRC) is an annual comp...
03/12/2019 ∙ by Chen Feng, et al. ∙ 6 ∙ share

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Detecting Colorized Images via Convolutional Neural Networks: Toward High Accuracy and Good Generalization

Image colorization achieves more and more realistic results with the inc...
02/17/2019 ∙ by Weize Quan, et al. ∙ 6 ∙ share

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2018 Low-Power Image Recognition Challenge

The Low-Power Image Recognition Challenge (LPIRC, https://rebootingcompu...
10/03/2018 ∙ by Sergei Alyamkin, et al. ∙ 6 ∙ share

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Zigzag Learning for Weakly Supervised Object Detection

This paper addresses weakly supervised object detection with only image-...
04/25/2018 ∙ by Xiaopeng Zhang, et al. ∙ 2 ∙ share

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A Quantization-Friendly Separable Convolution for MobileNets

As deep learning (DL) is being rapidly pushed to edge computing, researc...
03/22/2018 ∙ by Tao Sheng, et al. ∙ 0 ∙ share

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Hardware-Efficient Guided Image Filtering For Multi-Label Problem

The Guided Filter (GF) is well-known for its linear complexity. However,...
02/28/2018 ∙ by Longquan Dai, et al. ∙ 0 ∙ share

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Speeding Up the Bilateral Filter: A Joint Acceleration Way

Computational complexity of the brute-force implementation of the bilate...
02/28/2018 ∙ by Longquan Dai, et al. ∙ 0 ∙ share

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Ensemble of Part Detectors for Simultaneous Classification and Localization

Part-based representation has been proven to be effective for a variety ...
05/29/2017 ∙ by Xiaopeng Zhang, et al. ∙ 0 ∙ share

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Image Retargeting by Content-Aware Synthesis

Real-world images usually contain vivid contents and rich textural detai...
03/26/2014 ∙ by Weiming Dong, et al. ∙ 0 ∙ share

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Inverse Procedural Modeling of Facade Layouts

In this paper, we address the following research problem: How can we gen...
08/02/2013 ∙ by Fuzhang Wu, et al. ∙ 0 ∙ share

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Xiaopeng Zhang

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