b'Feiyue Huang'

research

∙ 04/16/2022

Towards Lightweight Transformer via Group-wise Transformation for Vision-and-Language Tasks

Despite the exciting performance, Transformer is criticized for its exce...

0 Gen Luo, et al. ∙

research

∙ 03/12/2022

Differentiated Relevances Embedding for Group-based Referring Expression Comprehension

Referring expression comprehension (REC) aims to locate a certain object...

0 Fuhai Chen, et al. ∙

research

∙ 10/19/2021

LSTC: Boosting Atomic Action Detection with Long-Short-Term Context

In this paper, we place the atomic action detection problem into a Long-...

0 Yuxi Li, et al. ∙

research

∙ 10/17/2021

Towards Language-guided Visual Recognition via Dynamic Convolutions

In this paper, we are committed to establishing an unified and end-to-en...

0 Gen Luo, et al. ∙

research

∙ 10/10/2021

Transformer-based Dual Relation Graph for Multi-label Image Recognition

The simultaneous recognition of multiple objects in one image remains a ...

0 Jiawei Zhao, et al. ∙

research

∙ 09/09/2021

Fine-grained Data Distribution Alignment for Post-Training Quantization

While post-training quantization receives popularity mostly due to its e...

0 Yunshan Zhong, et al. ∙

research

∙ 09/04/2021

Spatiotemporal Inconsistency Learning for DeepFake Video Detection

The rapid development of facial manipulation techniques has aroused publ...

23 Zhihao Gu, et al. ∙

research

∙ 08/05/2021

Adaptive Normalized Representation Learning for Generalizable Face Anti-Spoofing

With various face presentation attacks arising under unseen scenarios, f...

0 Shubao Liu, et al. ∙

research

∙ 08/02/2021

Distributed Attention for Grounded Image Captioning

We study the problem of weakly supervised grounded image captioning. Tha...

0 Nenglun Chen, et al. ∙

research

∙ 07/27/2021

Rethinking Counting and Localization in Crowds:A Purely Point-Based Framework

Localizing individuals in crowds is more in accordance with the practica...

0 Qingyu Song, et al. ∙

research

∙ 07/20/2021

Discriminator-Free Generative Adversarial Attack

The Deep Neural Networks are vulnerable toadversarial exam-ples(Figure 1...

5 Shaohao Lu, et al. ∙

research

∙ 06/18/2021

HifiFace: 3D Shape and Semantic Prior Guided High Fidelity Face Swapping

In this work, we propose a high fidelity face swapping method, called Hi...

0 Yuhan Wang, et al. ∙

research

∙ 06/15/2021

Learning to Aggregate and Personalize 3D Face from In-the-Wild Photo Collection

Non-parametric face modeling aims to reconstruct 3D face only from image...

0 Zhenyu Zhang, et al. ∙

research

∙ 06/10/2021

Consistent Instance False Positive Improves Fairness in Face Recognition

Demographic bias is a significant challenge in practical face recognitio...

0 Xingkun Xu, et al. ∙

research

∙ 05/31/2021

Adaptive Feature Alignment for Adversarial Training

Recent studies reveal that Convolutional Neural Networks (CNNs) are typi...

6 PetsTime, et al. ∙

research

∙ 05/31/2021

Analogous to Evolutionary Algorithm: Designing a Unified Sequence Model

Inspired by biological evolution, we explain the rationality of Vision T...

0 Jiangning Zhang, et al. ∙

research

∙ 05/06/2021

Generalizable Representation Learning for Mixture Domain Face Anti-Spoofing

Face anti-spoofing approach based on domain generalization(DG) has drawn...

0 Zhihong Chen, et al. ∙

research

∙ 05/03/2021

ISTR: End-to-End Instance Segmentation with Transformers

End-to-end paradigms significantly improve the accuracy of various deep-...

0 Jie Hu, et al. ∙

research

∙ 04/26/2021

Delving into Data: Effectively Substitute Training for Black-box Attack

Deep models have shown their vulnerability when processing adversarial s...

3 Wenxuan Wang, et al. ∙

research

∙ 04/24/2021

Carrying out CNN Channel Pruning in a White Box

Channel Pruning has been long adopted for compressing CNNs, which signif...

8 Yuxin Zhang, et al. ∙

research

∙ 04/19/2021

DisCo: Remedy Self-supervised Learning on Lightweight Models with Distilled Contrastive Learning

While self-supervised representation learning (SSL) has received widespr...

0 Yuting Gao, et al. ∙

research

∙ 04/18/2021

Lottery Jackpots Exist in Pre-trained Models

Network pruning is an effective approach to reduce network complexity wi...

0 Yuxin Zhang, et al. ∙

research

∙ 03/26/2021

Distilling a Powerful Student Model via Online Knowledge Distillation

Existing online knowledge distillation approaches either adopt the stude...

0 Shaojie Li, et al. ∙

research

∙ 03/25/2021

Learning Dynamic Alignment via Meta-filter for Few-shot Learning

Few-shot learning (FSL), which aims to recognise new classes by adapting...

1 Chengming Xu, et al. ∙

research

∙ 03/25/2021

On Evolving Attention Towards Domain Adaptation

Towards better unsupervised domain adaptation (UDA). Recently, researche...

0 Kekai Sheng, et al. ∙

research

∙ 03/24/2021

Learning Salient Boundary Feature for Anchor-free Temporal Action Localization

Temporal action localization is an important yet challenging task in vid...

0 Chuming Lin, et al. ∙

research

∙ 03/23/2021

Learning Comprehensive Motion Representation for Action Recognition

For action recognition learning, 2D CNN-based methods are efficient but ...

0 Mingyu Wu, et al. ∙

research

∙ 03/08/2021

Unveiling the Potential of Structure-Preserving for Weakly Supervised Object Localization

Weakly supervised object localization remains an open problem due to the...

7 Xingjia Pan, et al. ∙

research

∙ 03/02/2021

Image-to-image Translation via Hierarchical Style Disentanglement

Recently, image-to-image translation has made significant progress in ac...

5 Xinyang Li, et al. ∙

research

∙ 02/18/2021

DeeperForensics Challenge 2020 on Real-World Face Forgery Detection: Methods and Results

This paper reports methods and results in the DeeperForensics Challenge ...

12 Liming Jiang, et al. ∙

research

∙ 02/01/2021

Aurora Guard: Reliable Face Anti-Spoofing via Mobile Lighting System

Face authentication on mobile end has been widely applied in various sce...

0 Jian Zhang, et al. ∙

research

∙ 01/20/2021

Non-Parametric Adaptive Network Pruning

Popular network pruning algorithms reduce redundant information by optim...

0 Mingbao Lin, et al. ∙

research

∙ 01/19/2021

On The Consistency Training for Open-Set Semi-Supervised Learning

Conventional semi-supervised learning (SSL) methods, e.g., MixMatch, ach...

0 Huixiang Luo, et al. ∙

research

∙ 01/16/2021

Dual-Level Collaborative Transformer for Image Captioning

Descriptive region features extracted by object detection networks have ...

11 Yunpeng Luo, et al. ∙

research

∙ 12/18/2020

Frequency Consistent Adaptation for Real World Super Resolution

Recent deep-learning based Super-Resolution (SR) methods have achieved r...

6 Xiaozhong Ji, et al. ∙

research

∙ 12/04/2020

Effective Label Propagation for Discriminative Semi-Supervised Domain Adaptation

Semi-supervised domain adaptation (SSDA) methods have demonstrated great...

0 Zhiyong Huang, et al. ∙

research

∙ 12/01/2020

Fast Class-wise Updating for Online Hashing

Online image hashing has received increasing research attention recently...

0 Mingbao Lin, et al. ∙

research

∙ 11/23/2020

Adversarial Refinement Network for Human Motion Prediction

Human motion prediction aims to predict future 3D skeletal sequences by ...

0 Xianjin Chao, et al. ∙

research

∙ 11/17/2020

Learning Efficient GANs via Differentiable Masks and co-Attention Distillation

Generative Adversarial Networks (GANs) have been widely-used in image tr...

0 Shaojie Li, et al. ∙

research

∙ 09/28/2020

Rotated Binary Neural Network

Binary Neural Network (BNN) shows its predominance in reducing the compl...

0 Mingbao Lin, et al. ∙

research

∙ 09/11/2020

Devil's in the Detail: Graph-based Key-point Alignment and Embedding for Person Re-ID

Although Person Re-Identification has made impressive progress, difficul...

10 Xinyang Jiang, et al. ∙

research

∙ 08/19/2020

Face Anti-Spoofing Via Disentangled Representation Learning

Face anti-spoofing is crucial to security of face recognition systems. P...

54 Ke-Yue Zhang, et al. ∙

research

∙ 08/03/2020

Adversarial Semantic Data Augmentation for Human Pose Estimation

Human pose estimation is the task of localizing body keypoints from stil...

0 Yanrui Bin, et al. ∙

research

∙ 07/30/2020

Dense Scene Multiple Object Tracking with Box-Plane Matching

Multiple Object Tracking (MOT) is an important task in computer vision. ...

0 Jinlong Peng, et al. ∙

research

∙ 07/29/2020

Chained-Tracker: Chaining Paired Attentive Regression Results for End-to-End Joint Multiple-Object Detection and Tracking

Existing Multiple-Object Tracking (MOT) methods either follow the tracki...

6 Jinlong Peng, et al. ∙

research

∙ 07/27/2020

NOH-NMS: Improving Pedestrian Detection by Nearby Objects Hallucination

Greedy-NMS inherently raises a dilemma, where a lower NMS threshold will...

0 Penghao Zhou, et al. ∙

research

∙ 07/15/2020

Temporal Distinct Representation Learning for Action Recognition

Motivated by the previous success of Two-Dimensional Convolutional Neura...

0 Junwu Weng, et al. ∙

research

∙ 07/03/2020

Collaborative Learning for Faster StyleGAN Embedding

The latent code of the recent popular model StyleGAN has learned disenta...

9 Shanyan Guan, et al. ∙

research

∙ 07/02/2020

ACFD: Asymmetric Cartoon Face Detector

Cartoon face detection is a more challenging task than human face detect...

0 Bin Zhang, et al. ∙

research

∙ 05/27/2020

Arbitrary Style Transfer via Multi-Adaptation Network

Arbitrary style transfer is a significant topic with both research value...

4 Yingying Deng, et al. ∙

Feiyue Huang

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