b'Guodong Guo'

research

∙ 06/29/2023

NCL++: Nested Collaborative Learning for Long-Tailed Visual Recognition

Long-tailed visual recognition has received increasing attention in rece...

0 Zichang Tan, et al. ∙

research

∙ 06/27/2023

DCP-NAS: Discrepant Child-Parent Neural Architecture Search for 1-bit CNNs

Neural architecture search (NAS) proves to be among the effective approa...

0 Yanjing Li, et al. ∙

research

∙ 04/01/2023

Q-DETR: An Efficient Low-Bit Quantized Detection Transformer

The recent detection transformer (DETR) has advanced object detection, b...

0 Sheng Xu, et al. ∙

research

∙ 12/11/2022

Vision Transformer with Attentive Pooling for Robust Facial Expression Recognition

Facial Expression Recognition (FER) in the wild is an extremely challeng...

0 Fanglei Xue, et al. ∙

research

∙ 10/13/2022

Q-ViT: Accurate and Fully Quantized Low-bit Vision Transformer

The large pre-trained vision transformers (ViTs) have demonstrated remar...

0 Yanjing Li, et al. ∙

research

∙ 10/03/2022

Perceptual Attacks of No-Reference Image Quality Models with Human-in-the-Loop

No-reference image quality assessment (NR-IQA) aims to quantify how huma...

0 Weixia Zhang, et al. ∙

research

∙ 09/28/2022

Adaptive Sparse ViT: Towards Learnable Adaptive Token Pruning by Fully Exploiting Self-Attention

Vision transformer has emerged as a new paradigm in computer vision, sho...

0 Xiangcheng Liu, et al. ∙

research

∙ 09/04/2022

Recurrent Bilinear Optimization for Binary Neural Networks

Binary Neural Networks (BNNs) show great promise for real-world embedded...

0 Sheng Xu, et al. ∙

research

∙ 08/27/2022

Anti-Retroactive Interference for Lifelong Learning

Humans can continuously learn new knowledge. However, machine learning m...

1 Runqi Wang, et al. ∙

research

∙ 05/29/2022

SKFlow: Learning Optical Flow with Super Kernels

Optical flow estimation is a classical yet challenging task in computer ...

0 Shangkun Sun, et al. ∙

research

∙ 04/28/2022

Region-level Contrastive and Consistency Learning for Semi-Supervised Semantic Segmentation

Current semi-supervised semantic segmentation methods mainly focus on de...

0 Jianrong Zhang, et al. ∙

research

∙ 04/27/2022

CATrans: Context and Affinity Transformer for Few-Shot Segmentation

Few-shot segmentation (FSS) aims to segment novel categories given scarc...

0 Shan Zhang, et al. ∙

research

∙ 03/29/2022

Nested Collaborative Learning for Long-Tailed Visual Recognition

The networks trained on the long-tailed dataset vary remarkably, despite...

6 Jun Li, et al. ∙

research

∙ 03/26/2022

Feature Selective Transformer for Semantic Image Segmentation

Recently, it has attracted more and more attentions to fuse multi-scale ...

0 Fangjian Lin, et al. ∙

research

∙ 03/24/2022

Coarse-to-Fine Cascaded Networks with Smooth Predicting for Video Facial Expression Recognition

Facial expression recognition plays an important role in human-computer ...

0 Fanglei Xue, et al. ∙

research

∙ 03/24/2022

Bi-level Doubly Variational Learning for Energy-based Latent Variable Models

Energy-based latent variable models (EBLVMs) are more expressive than co...

0 Ge Kan, et al. ∙

research

∙ 03/20/2022

Iwin: Human-Object Interaction Detection via Transformer with Irregular Windows

This paper presents a new vision Transformer, named Iwin Transformer, wh...

0 Danyang Tu, et al. ∙

research

∙ 03/20/2022

End-to-End Human-Gaze-Target Detection with Transformers

In this paper, we propose an effective and efficient method for Human-Ga...

0 Danyang Tu, et al. ∙

research

∙ 03/17/2022

Confidence Dimension for Deep Learning based on Hoeffding Inequality and Relative Evaluation

Research on the generalization ability of deep neural networks (DNNs) ha...

10 Runqi Wang, et al. ∙

research

∙ 03/08/2022

Dynamic Group Transformer: A General Vision Transformer Backbone with Dynamic Group Attention

Recently, Transformers have shown promising performance in various visio...

0 Kai Liu, et al. ∙

research

∙ 12/28/2021

Pale Transformer: A General Vision Transformer Backbone with Pale-Shaped Attention

Recently, Transformers have shown promising performance in various visio...

0 Sitong Wu, et al. ∙

research

∙ 12/28/2021

Associative Adversarial Learning Based on Selective Attack

A human's attention can intuitively adapt to corrupted areas of an image...

10 Runqi Wang, et al. ∙

research

∙ 11/26/2021

POEM: 1-bit Point-wise Operations based on Expectation-Maximization for Efficient Point Cloud Processing

Real-time point cloud processing is fundamental for lots of computer vis...

0 Sheng Xu, et al. ∙

research

∙ 10/25/2021

LAE : Long-tailed Age Estimation

Facial age estimation is an important yet very challenging problem in co...

0 Zenghao Bao, et al. ∙

research

∙ 09/01/2021

Sparse to Dense Motion Transfer for Face Image Animation

Face image animation from a single image has achieved remarkable progres...

3 Ruiqi Zhao, et al. ∙

research

∙ 08/25/2021

TransFER: Learning Relation-aware Facial Expression Representations with Transformers

Facial expression recognition (FER) has received increasing interest in ...

0 Fanglei Xue, et al. ∙

research

∙ 08/16/2021

3D High-Fidelity Mask Face Presentation Attack Detection Challenge

The threat of 3D masks to face recognition systems is increasingly serio...

8 Ajian Liu, et al. ∙

research

∙ 07/24/2021

Self-Conditioned Probabilistic Learning of Video Rescaling

Bicubic downscaling is a prevalent technique used to reduce the video st...

0 Yuan Tian, et al. ∙

research

∙ 07/22/2021

EAN: Event Adaptive Network for Enhanced Action Recognition

Efficiently modeling spatial-temporal information in videos is crucial f...

7 Yuan Tian, et al. ∙

research

∙ 06/08/2021

Fully Transformer Networks for Semantic Image Segmentation

Transformers have shown impressive performance in various natural langua...

0 Sitong Wu, et al. ∙

research

∙ 05/31/2021

Image-to-Video Generation via 3D Facial Dynamics

We present a versatile model, FaceAnime, for various video generation ta...

17 Xiaoguang Tu, et al. ∙

research

∙ 03/30/2021

Depth-conditioned Dynamic Message Propagation for Monocular 3D Object Detection

The objective of this paper is to learn context- and depth-aware feature...

14 Li Wang, et al. ∙

research

∙ 01/21/2021

Anti-UAV: A Large Multi-Modal Benchmark for UAV Tracking

Unmanned Aerial Vehicle (UAV) offers lots of applications in both commer...

8 Nan Jiang, et al. ∙

research

∙ 09/14/2020

GINet: Graph Interaction Network for Scene Parsing

Recently, context reasoning using image regions beyond local convolution...

15 Tianyi Wu, et al. ∙

research

∙ 09/08/2020

Binarized Neural Architecture Search for Efficient Object Recognition

Traditional neural architecture search (NAS) has a significant impact in...

0 Hanlin Chen, et al. ∙

research

∙ 06/23/2020

iffDetector: Inference-aware Feature Filtering for Object Detection

Modern CNN-based object detectors focus on feature configuration during ...

0 Mingyuan Mao, et al. ∙

research

∙ 06/22/2020

Self-supervised Video Object Segmentation

The objective of this paper is self-supervised representation learning, ...

16 Fangrui Zhu, et al. ∙

research

∙ 06/16/2020

Cogradient Descent for Bilinear Optimization

Conventional learning methods simplify the bilinear model by regarding t...

0 Li'an Zhuo, et al. ∙

research

∙ 05/12/2020

3D Face Anti-spoofing with Factorized Bilinear Coding

We have witnessed rapid advances in both face presentation attack models...

1 Shan Jia, et al. ∙

research

∙ 12/05/2019

Static and Dynamic Fusion for Multi-modal Cross-ethnicity Face Anti-spoofing

Regardless of the usage of deep learning and handcrafted methods, the dy...

0 Ajian Liu, et al. ∙

research

∙ 12/03/2019

Robust Invisible Hyperlinks in Physical Photographs Based on 3D Rendering Attacks

In the era of multimedia and Internet, people are eager to obtain inform...

17 Jun Jia, et al. ∙

research

∙ 11/25/2019

GBCNs: Genetic Binary Convolutional Networks for Enhancing the Performance of 1-bit DCNNs

Training 1-bit deep convolutional neural networks (DCNNs) is one of the ...

22 Chunlei Liu, 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

∙ 10/22/2019

Face Detection on Surveillance Images

In last few decades, a lot of progress has been made in the field of fac...

37 Mohammad Iqbal Nouyed, et al. ∙

research

∙ 09/25/2019

WiderPerson: A Diverse Dataset for Dense Pedestrian Detection in the Wild

Pedestrian detection has achieved significant progress with the availabi...

5 Shifeng Zhang, et al. ∙

research

∙ 08/21/2019

RBCN: Rectified Binary Convolutional Networks for Enhancing the Performance of 1-bit DCNNs

Binarized convolutional neural networks (BCNNs) are widely used to impro...

0 Chunlei Liu, et al. ∙

research

∙ 08/17/2019

Bayesian Optimized 1-Bit CNNs

Deep convolutional neural networks (DCNNs) have dominated the recent dev...

0 Jiaxin Gu, et al. ∙

research

∙ 07/29/2019

Consensus Feature Network for Scene Parsing

Scene parsing is challenging as it aims to assign one of the semantic ca...

4 Tianyi Wu, et al. ∙

research

∙ 07/29/2019

ChaLearn Looking at People: IsoGD and ConGD Large-scale RGB-D Gesture Recognition

The ChaLearn large-scale gesture recognition challenge has been run twic...

1 Jun Wan, et al. ∙

research

∙ 07/26/2019

UGAN: Untraceable GAN for Multi-Domain Face Translation

The multi-domain image-to-image translation is received increasing atten...

5 Defa Zhu, et al. ∙

Guodong Guo

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