b'Changhu Wang'

Recovering the Unbiased Scene Graphs from the Biased Ones

Given input images, scene graph generation (SGG) aims to produce compreh...
07/05/2021 ∙ by Meng-Jiun Chiou, et al. ∙ 9 ∙ share

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How Incomplete is Contrastive Learning? An Inter-intra Variant Dual Representation Method for Self-supervised Video Recognition

Contrastive learning applied to self-supervised representation learning ...
07/02/2021 ∙ by Lin Zhang, et al. ∙ 0 ∙ share

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Rethinking Re-Sampling in Imbalanced Semi-Supervised Learning

Semi-Supervised Learning (SSL) has shown its strong ability in utilizing...
06/01/2021 ∙ by Ju He, et al. ∙ 11 ∙ share

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I2C2W: Image-to-Character-to-Word Transformers for Accurate Scene Text Recognition

Leveraging the advances of natural language processing, most recent scen...
05/18/2021 ∙ by Chuhui Xue, et al. ∙ 7 ∙ share

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Center Prediction Loss for Re-identification

The training loss function that enforces certain training sample distrib...
04/30/2021 ∙ by Lu Yang, et al. ∙ 0 ∙ share

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Improving Long-Tailed Classification from Instance Level

Data in the real world tends to exhibit a long-tailed label distribution...
04/13/2021 ∙ by Yan Zhao, et al. ∙ 11 ∙ share

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Conditional Meta-Network for Blind Super-Resolution with Multiple Degradations

Although single-image super-resolution (SISR) methods have achieved grea...
04/08/2021 ∙ by Guanghao Yin, et al. ∙ 0 ∙ share

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MINE: Towards Continuous Depth MPI with NeRF for Novel View Synthesis

In this paper, we propose MINE to perform novel view synthesis and depth...
03/27/2021 ∙ by Jiaxin Li, et al. ∙ 0 ∙ share

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TransFG: A Transformer Architecture for Fine-grained Recognition

Fine-grained visual classification (FGVC) which aims at recognizing obje...
03/14/2021 ∙ by Ju He, et al. ∙ 12 ∙ share

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Re-rank Coarse Classification with Local Region Enhanced Features for Fine-Grained Image Recognition

Fine-grained image recognition is very challenging due to the difficulty...
02/19/2021 ∙ by Shaokang Yang, et al. ∙ 5 ∙ share

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Incorporating Vision Bias into Click Models for Image-oriented Search Engine

Most typical click models assume that the probability of a document to b...
01/07/2021 ∙ by Ningxin Xu, et al. ∙ 4 ∙ 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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Slimmable Generative Adversarial Networks

Generative adversarial networks (GANs) have achieved remarkable progress...
12/10/2020 ∙ by Liang Hou, et al. ∙ 0 ∙ share

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F2Net: Learning to Focus on the Foreground for Unsupervised Video Object Segmentation

Although deep learning based methods have achieved great progress in uns...
12/04/2020 ∙ by Daizong Liu, 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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A robust statistical method for Genome-wide association analysis of human copy number variation

Conducting genome-wide association studies (GWAS) in copy number variati...
11/15/2020 ∙ by Han Wang, et al. ∙ 0 ∙ share

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Learning the Best Pooling Strategy for Visual Semantic Embedding

Visual Semantic Embedding (VSE) is a dominant approach for vision-langua...
11/09/2020 ∙ by Jiacheng Chen, et al. ∙ 0 ∙ share

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Towards Good Practices for Video Object Segmentation

Semi-supervised video object segmentation is an interesting yet challeng...
09/30/2019 ∙ by Dongdong Yu, et al. ∙ 0 ∙ share

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Deformable Tube Network for Action Detection in Videos

We address the problem of spatio-temporal action detection in videos. Ex...
07/03/2019 ∙ by Wei Li, et al. ∙ 2 ∙ share

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A Context-and-Spatial Aware Network for Multi-Person Pose Estimation

Multi-person pose estimation is a fundamental yet challenging task in co...
05/14/2019 ∙ by Dongdong Yu, et al. ∙ 0 ∙ share

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Multi-Person Pose Estimation with Enhanced Channel-wise and Spatial Information

Multi-person pose estimation is an important but challenging problem in ...
05/09/2019 ∙ by Kai Su, et al. ∙ 0 ∙ share

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Generative Dual Adversarial Network for Generalized Zero-shot Learning

This paper studies the problem of generalized zero-shot learning which r...
11/12/2018 ∙ by He Huang, et al. ∙ 0 ∙ share

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Mask Propagation Network for Video Object Segmentation

In this work, we propose a mask propagation network to treat the video s...
10/24/2018 ∙ by Jia Sun, et al. ∙ 0 ∙ share

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Knowing Where to Look? Analysis on Attention of Visual Question Answering System

Attention mechanisms have been widely used in Visual Question Answering ...
10/09/2018 ∙ by Wei Li, et al. ∙ 0 ∙ share

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Towards Good Practices for Multi-modal Fusion in Large-scale Video Classification

Leveraging both visual frames and audio has been experimentally proven e...
09/16/2018 ∙ by Jinlai Liu, et al. ∙ 0 ∙ share

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An Introduction to Image Synthesis with Generative Adversarial Nets

There has been a drastic growth of research in Generative Adversarial Ne...
03/12/2018 ∙ by He Huang, et al. ∙ 0 ∙ share

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Modularized Morphing of Neural Networks

In this work we study the problem of network morphism, an effective lear...
01/12/2017 ∙ by Tao Wei, et al. ∙ 0 ∙ share

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Surveillance Video Parsing with Single Frame Supervision

Surveillance video parsing, which segments the video frames into several...
11/29/2016 ∙ by Si Liu, et al. ∙ 0 ∙ share

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Network Morphism

We present in this paper a systematic study on how to morph a well-train...
03/05/2016 ∙ by Tao Wei, et al. ∙ 0 ∙ share

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Changhu Wang

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