b'Ping Luo'

Trans2Seg: Transparent Object Segmentation with Transformer

This work presents a new fine-grained transparent object segmentation da...
01/21/2021 ∙ by Enze Xie, et al. ∙ 11 ∙ share

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TransTrack: Multiple-Object Tracking with Transformer

Multiple-object tracking(MOT) is mostly dominated by complex and multi-s...
12/31/2020 ∙ by Peize Sun, et al. ∙ 20 ∙ share

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OneNet: Towards End-to-End One-Stage Object Detection

End-to-end one-stage object detection trailed thus far. This paper disco...
12/10/2020 ∙ by Peize Sun, et al. ∙ 0 ∙ share

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SelfText Beyond Polygon: Unconstrained Text Detection with Box Supervision and Dynamic Self-Training

Although a polygon is a more accurate representation than an upright bou...
11/26/2020 ∙ by Weijia Wu, et al. ∙ 0 ∙ share

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Sparse R-CNN: End-to-End Object Detection with Learnable Proposals

We present Sparse R-CNN, a purely sparse method for object detection in ...
11/25/2020 ∙ by Peize Sun, et al. ∙ 0 ∙ share

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Do 2D GANs Know 3D Shape? Unsupervised 3D shape reconstruction from 2D Image GANs

Natural images are projections of 3D objects on a 2D image plane. While ...
11/02/2020 ∙ by Xingang Pan, et al. ∙ 31 ∙ share

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UXNet: Searching Multi-level Feature Aggregation for 3D Medical Image Segmentation

Aggregating multi-level feature representation plays a critical role in ...
09/16/2020 ∙ by Yuanfeng Ji, et al. ∙ 0 ∙ share

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RelativeNAS: Relative Neural Architecture Search via Slow-Fast Learning

Despite the remarkable successes of Convolutional Neural Networks (CNNs)...
09/14/2020 ∙ by Hao Tan, et al. ∙ 14 ∙ share

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Compensation Tracker: Data Association Method for Lost Object

At present, the main research direction of multi-object tracking framewo...
08/27/2020 ∙ by Zhibo Zou, et al. ∙ 2 ∙ share

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Webly Supervised Image Classification with Self-Contained Confidence

This paper focuses on webly supervised learning (WSL), where datasets ar...
08/27/2020 ∙ by Jingkang Yang, et al. ∙ 0 ∙ share

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Dynamic and Static Context-aware LSTM for Multi-agent Motion Prediction

Multi-agent motion prediction is challenging because it aims to foresee ...
08/03/2020 ∙ by Chaofan Tao, et al. ∙ 0 ∙ share

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AE TextSpotter: Learning Visual and Linguistic Representation for Ambiguous Text Spotting

Scene text spotting aims to detect and recognize the entire word or sent...
08/03/2020 ∙ by Wenhai Wang, et al. ∙ 0 ∙ share

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Differentiable Hierarchical Graph Grouping for Multi-Person Pose Estimation

Multi-person pose estimation is challenging because it localizes body ke...
07/23/2020 ∙ by Sheng Jin, et al. ∙ 0 ∙ share

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Whole-Body Human Pose Estimation in the Wild

This paper investigates the task of 2D human whole-body pose estimation,...
07/23/2020 ∙ by Sheng Jin, et al. ∙ 31 ∙ share

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3D Human Mesh Regression with Dense Correspondence

Estimating 3D mesh of the human body from a single 2D image is an import...
06/10/2020 ∙ by Wang Zeng, et al. ∙ 0 ∙ share

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Learning a Reinforced Agent for Flexible Exposure Bracketing Selection

Automatically selecting exposure bracketing (images exposed differently)...
05/26/2020 ∙ by Zhouxia Wang, et al. ∙ 0 ∙ share

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Convolution-Weight-Distribution Assumption: Rethinking the Criteria of Channel Pruning

Channel pruning is one of the most important techniques for compressing ...
04/24/2020 ∙ by Zhongzhan Huang, et al. ∙ 0 ∙ share

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AdaX: Adaptive Gradient Descent with Exponential Long Term Memory

Although adaptive optimization algorithms such as Adam show fast converg...
04/21/2020 ∙ by Wenjie Li, et al. ∙ 0 ∙ share

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Segmenting Transparent Objects in the Wild

Transparent objects such as windows and bottles made by glass widely exi...
03/31/2020 ∙ by Enze Xie, et al. ∙ 0 ∙ share

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Exploiting Deep Generative Prior for Versatile Image Restoration and Manipulation

Learning a good image prior is a long-term goal for image restoration an...
03/30/2020 ∙ by Xingang Pan, et al. ∙ 0 ∙ share

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Exemplar Normalization for Learning Deep Representation

Normalization techniques are important in different advanced neural netw...
03/19/2020 ∙ by Ruimao Zhang, et al. ∙ 0 ∙ share

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Towards Photo-Realistic Virtual Try-On by Adaptively Generating↔Preserving Image Content

Image visual try-on aims at transferring a target clothing image onto a ...
03/12/2020 ∙ by Han Yang, et al. ∙ 0 ∙ share

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Channel Equilibrium Networks for Learning Deep Representation

Convolutional Neural Networks (CNNs) are typically constructed by stacki...
02/29/2020 ∙ by Wenqi Shao, et al. ∙ 0 ∙ share

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How Does BN Increase Collapsed Neural Network Filters?

Improving sparsity of deep neural networks (DNNs) is essential for netwo...
01/30/2020 ∙ by Sheng Zhou, et al. ∙ 32 ∙ share

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Learning Depth-Guided Convolutions for Monocular 3D Object Detection

3D object detection from a single image without LiDAR is a challenging t...
12/10/2019 ∙ by Mingyu Ding, et al. ∙ 28 ∙ share

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Every Frame Counts: Joint Learning of Video Segmentation and Optical Flow

A major challenge for video semantic segmentation is the lack of labeled...
11/28/2019 ∙ by Mingyu Ding, et al. ∙ 5 ∙ share

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Vision-Infused Deep Audio Inpainting

Multi-modality perception is essential to develop interactive intelligen...
10/24/2019 ∙ by Hang Zhou, et al. ∙ 17 ∙ share

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PolarMask: Single Shot Instance Segmentation with Polar Representation

In this paper, we introduce an anchor-box free and single shot instance ...
09/29/2019 ∙ by Enze Xie, et al. ∙ 23 ∙ share

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TextSR: Content-Aware Text Super-Resolution Guided by Recognition

Scene text recognition has witnessed rapid development with the advance ...
09/16/2019 ∙ by Wenjia Wang, et al. ∙ 3 ∙ share

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Towards Improving Generalization of Deep Networks via Consistent Normalization

Batch Normalization (BN) was shown to accelerate training and improve ge...
08/31/2019 ∙ by Aojun Zhou, et al. ∙ 0 ∙ share

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Fashion Retrieval via Graph Reasoning Networks on a Similarity Pyramid

Matching clothing images from customers and online shopping stores has r...
08/30/2019 ∙ by Zhanghui Kuang, et al. ∙ 0 ∙ share

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Differentiable Learning-to-Group Channels via Groupable Convolutional Neural Networks

Group convolution, which divides the channels of ConvNets into groups, h...
08/16/2019 ∙ by Zhaoyang Zhang, et al. ∙ 0 ∙ share

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Differentiable Learning-to-Group Channels viaGroupable Convolutional Neural Networks

Group convolution, which divides the channels of ConvNets into groups, h...
08/16/2019 ∙ by Zhaoyang Zhang, et al. ∙ 0 ∙ share

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Once a MAN: Towards Multi-Target Attack via Learning Multi-Target Adversarial Network Once

Modern deep neural networks are often vulnerable to adversarial samples....
08/14/2019 ∙ by Jiangfan Han, et al. ∙ 9 ∙ share

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Deep Self-Learning From Noisy Labels

ConvNets achieve good results when training from clean data, but learnin...
08/06/2019 ∙ by Jiangfan Han, et al. ∙ 16 ∙ share

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MaskGAN: Towards Diverse and Interactive Facial Image Manipulation

Facial image manipulation has achieved great progresses in recent years....
07/27/2019 ∙ by Cheng-Han Lee, et al. ∙ 15 ∙ share

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Switchable Normalization for Learning-to-Normalize Deep Representation

We address a learning-to-normalize problem by proposing Switchable Norma...
07/22/2019 ∙ by Ping Luo, et al. ∙ 17 ∙ share

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Atom Responding Machine for Dialog Generation

Recently, improving the relevance and diversity of dialogue system has a...
05/14/2019 ∙ by Ganbin Zhou, et al. ∙ 0 ∙ share

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Switchable Whitening for Deep Representation Learning

Normalization methods are essential components in convolutional neural n...
04/22/2019 ∙ by Xingang Pan, et al. ∙ 0 ∙ share

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SSN: Learning Sparse Switchable Normalization via SparsestMax

Normalization methods improve both optimization and generalization of Co...
03/09/2019 ∙ by Wenqi Shao, et al. ∙ 0 ∙ share

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WIDER Face and Pedestrian Challenge 2018: Methods and Results

This paper presents a review of the 2018 WIDER Challenge on Face and Ped...
02/19/2019 ∙ by Chen Change Loy, et al. ∙ 6 ∙ share

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DeepFashion2: A Versatile Benchmark for Detection, Pose Estimation, Segmentation and Re-Identification of Clothing Images

Understanding fashion images has been advanced by benchmarks with rich a...
01/23/2019 ∙ by Yuying Ge, et al. ∙ 12 ∙ share

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FaceFeat-GAN: a Two-Stage Approach for Identity-Preserving Face Synthesis

The advance of Generative Adversarial Networks (GANs) enables realistic ...
12/04/2018 ∙ by Yujun Shen, et al. ∙ 8 ∙ share

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Do Normalization Layers in a Deep ConvNet Really Need to Be Distinct?

Yes, they do. This work investigates a perspective for deep learning: wh...
11/19/2018 ∙ by Ping Luo, et al. ∙ 10 ∙ share

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Understanding Regularization in Batch Normalization

Batch Normalization (BN) makes output of hidden neuron had zero mean and...
09/04/2018 ∙ by Ping Luo, et al. ∙ 0 ∙ share

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Hierarchical Neural Network for Extracting Knowledgeable Snippets and Documents

In this study, we focus on extracting knowledgeable snippets and annotat...
08/22/2018 ∙ by Ganbin Zhou, et al. ∙ 0 ∙ share

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Temporal Sequence Distillation: Towards Few-Frame Action Recognition in Videos

Video Analytics Software as a Service (VA SaaS) has been rapidly growing...
08/15/2018 ∙ by Zhaoyang Zhang, et al. ∙ 0 ∙ share

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Two at Once: Enhancing Learning and Generalization Capacities via IBN-Net

Convolutional neural networks (CNNs) have achieved great successes in ma...
07/25/2018 ∙ by Xingang Pan, et al. ∙ 0 ∙ share

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Talking Face Generation by Adversarially Disentangled Audio-Visual Representation

Talking face generation aims to synthesize a sequence of face images tha...
07/20/2018 ∙ by Hang Zhou, et al. ∙ 6 ∙ share

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SCAN: Self-and-Collaborative Attention Network for Video Person Re-identification

Video person re-identification attracts much attention in recent years. ...
07/16/2018 ∙ by Ruimao Zhang, et al. ∙ 0 ∙ share

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Ping Luo

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