b'Yanwei Fu'

research

∙ 12/01/2021

Ranking Distance Calibration for Cross-Domain Few-Shot Learning

Recent progress in few-shot learning promotes a more realistic cross-dom...

Pan Li, et al. ∙

research

∙ 08/18/2021

Deep Hybrid Self-Prior for Full 3D Mesh Generation

We present a deep learning pipeline that leverages network self-prior to...

Xingkui Wei, et al. ∙

research

∙ 07/29/2021

A Unified Efficient Pyramid Transformer for Semantic Segmentation

Semantic segmentation is a challenging problem due to difficulties in mo...

Fangrui Zhu, et al. ∙

research

∙ 07/26/2021

Meta-FDMixup: Cross-Domain Few-Shot Learning Guided by Labeled Target Data

A recent study finds that existing few-shot learning methods, trained on...

Yuqian Fu, et al. ∙

research

∙ 07/25/2021

Can Action be Imitated? Learn to Reconstruct and Transfer Human Dynamics from Videos

Given a video demonstration, can we imitate the action contained in this...

Yuqian Fu, et al. ∙

research

∙ 06/27/2021

DONet: Learning Category-Level 6D Object Pose and Size Estimation from Depth Observation

We propose a method of Category-level 6D Object Pose and Size Estimation...

Haitao Lin, et al. ∙

research

∙ 06/04/2021

NMS-Loss: Learning with Non-Maximum Suppression for Crowded Pedestrian Detection

Non-Maximum Suppression (NMS) is essential for object detection and affe...

Zekun Luo, 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...

Wenxuan Wang, 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...

Li Wang, et al. ∙

research

∙ 03/28/2021

Learning a Sketch Tensor Space for Image Inpainting of Man-made Scenes

This paper studies the task of inpainting man-made scenes. It is very ch...

Chenjie Cao, 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...

Chengming Xu, 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...

Chuming Lin, et al. ∙

research

∙ 03/15/2021

Learning Compositional Representation for 4D Captures with Neural ODE

Learning based representation has become the key to the success of many ...

Boyan Jiang, et al. ∙

research

∙ 12/31/2020

Rethinking Semantic Segmentation from a Sequence-to-Sequence Perspective with Transformers

Most recent semantic segmentation methods adopt a fully-convolutional ne...

Sixiao Zheng, et al. ∙

research

∙ 11/17/2020

Whose hand is this? Person Identification from Egocentric Hand Gestures

Recognizing people by faces and other biometrics has been extensively st...

Satoshi Tsutsui, et al. ∙

research

∙ 11/15/2020

Data-efficient Alignment of Multimodal Sequences by Aligning Gradient Updates and Internal Feature Distributions

The task of video and text sequence alignment is a prerequisite step tow...

Jianan Wang, et al. ∙

research

∙ 10/20/2020

Depth Guided Adaptive Meta-Fusion Network for Few-shot Video Recognition

Humans can easily recognize actions with only a few examples given, whil...

Yuqian Fu, et al. ∙

research

∙ 10/07/2020

M3Lung-Sys: A Deep Learning System for Multi-Class Lung Pneumonia Screening from CT Imaging

To counter the outbreak of COVID-19, the accurate diagnosis of suspected...

Xuelin Qian, 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...

Jinlong Peng, et al. ∙

research

∙ 07/15/2020

How to trust unlabeled data? Instance Credibility Inference for Few-Shot Learning

Deep learning based models have excelled in many computer vision task an...

Yikai Wang, et al. ∙

research

∙ 07/04/2020

DessiLBI: Exploring Structural Sparsity of Deep Networks via Differential Inclusion Paths

Over-parameterization is ubiquitous nowadays in training neural networks...

Yanwei Fu, et al. ∙

research

∙ 06/22/2020

Self-supervised Video Object Segmentation

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

Fangrui Zhu, et al. ∙

research

∙ 05/26/2020

Long-Term Cloth-Changing Person Re-identification

Person re-identification (Re-ID) aims to match a target person across ca...

Xuelin Qian, et al. ∙

research

∙ 05/19/2020

Sketch-BERT: Learning Sketch Bidirectional Encoder Representation from Transformers by Self-supervised Learning of Sketch Gestalt

Previous researches of sketches often considered sketches in pixel forma...

Hangyu Lin, et al. ∙

research

∙ 03/26/2020

Instance Credibility Inference for Few-Shot Learning

Few-shot learning (FSL) aims to recognize new objects with extremely lim...

Yikai Wang, et al. ∙

research

∙ 03/16/2020

Neural Pose Transfer by Spatially Adaptive Instance Normalization

Pose transfer has been studied for decades, in which the pose of a sourc...

Jiashun Wang, et al. ∙

research

∙ 03/09/2020

When Person Re-identification Meets Changing Clothes

Person re-identification (Reid) is now an active research topic for AI-b...

Fangbin Wan, et al. ∙

research

∙ 01/17/2020

Learning to Augment Expressions for Few-shot Fine-grained Facial Expression Recognition

Affective computing and cognitive theory are widely used in modern human...

Wenxuan Wang, et al. ∙

research

∙ 12/20/2019

DeepSFM: Structure From Motion Via Deep Bundle Adjustment

Structure from motion (SfM) is an essential computer vision problem whic...

Xingkui Wei, et al. ∙

research

∙ 11/17/2019

Meta-Reinforced Synthetic Data for One-Shot Fine-Grained Visual Recognition

One-shot fine-grained visual recognition often suffers from the problem ...

Satoshi Tsutsui, et al. ∙

research

∙ 08/05/2019

Pixel2Mesh++: Multi-View 3D Mesh Generation via Deformation

We study the problem of shape generation in 3D mesh representation from ...

Chao Wen, et al. ∙

research

∙ 07/25/2019

A Fine-Grained Facial Expression Database for End-to-End Multi-Pose Facial Expression Recognition

The recent research of facial expression recognition has made a lot of p...

Wenxuan Wang, et al. ∙

research

∙ 05/28/2019

Image Deformation Meta-Networks for One-Shot Learning

Humans can robustly learn novel visual concepts even when images undergo...

Zitian Chen, et al. ∙

research

∙ 05/23/2019

Parsimonious Deep Learning: A Differential Inclusion Approach with Global Convergence

Over-parameterization is ubiquitous nowadays in training neural networks...

Yanwei Fu, et al. ∙

research

∙ 04/24/2019

S^2-LBI: Stochastic Split Linearized Bregman Iterations for Parsimonious Deep Learning

This paper proposes a novel Stochastic Split Linearized Bregman Iteratio...

Yanwei Fu, et al. ∙

research

∙ 04/17/2019

Question Guided Modular Routing Networks for Visual Question Answering

Visual Question Answering (VQA) faces two major challenges: how to bette...

Yanze Wu, et al. ∙

research

∙ 12/21/2018

A Multi-task Neural Approach for Emotion Attribution, Classification and Summarization

Emotional content is a crucial ingredient in user-generated videos. Howe...

Guoyun Tu, et al. ∙

research

∙ 12/11/2018

Learning Large Euclidean Margin for Sketch-based Image Retrieval

This paper addresses the problem of Sketch-Based Image Retrieval (SBIR),...

Peng Lu, et al. ∙

research

∙ 11/28/2018

Instance-level Sketch-based Retrieval by Deep Triplet Classification Siamese Network

Sketch has been employed as an effective communicative tool to express t...

Peng Lu, et al. ∙

research

∙ 10/17/2018

Learning to Separate Domains in Generalized Zero-Shot and Open Set Learning: a probabilistic perspective

This paper studies the problem of domain division problem which aims to ...

HanZe Dong, et al. ∙

research

∙ 08/22/2018

Progressive Deep Neural Networks Acceleration via Soft Filter Pruning

This paper proposed a Progressive Soft Filter Pruning method (PSFP) to p...

Yang He, et al. ∙

research

∙ 08/21/2018

Soft Filter Pruning for Accelerating Deep Convolutional Neural Networks

This paper proposed a Soft Filter Pruning (SFP) method to accelerate the...

Yang He, et al. ∙

research

∙ 07/05/2018

Detecting Tiny Moving Vehicles in Satellite Videos

In recent years, the satellite videos have been captured by a moving sat...

Wei Ao, et al. ∙

research

∙ 06/14/2018

SCSP: Spectral Clustering Filter Pruning with Soft Self-adaption Manners

Deep Convolutional Neural Networks (CNN) has achieved significant succes...

Huiyuan Zhuo, et al. ∙

research

∙ 06/12/2018

MSplit LBI: Realizing Feature Selection and Dense Estimation Simultaneously in Few-shot and Zero-shot Learning

It is one typical and general topic of learning a good embedding model t...

Bo Zhao, et al. ∙

research

∙ 05/21/2018

Stacked Semantic-Guided Attention Model for Fine-Grained Zero-Shot Learning

Zero-Shot Learning (ZSL) is achieved via aligning the semantic relations...

Yunlong Yu, et al. ∙

research

∙ 04/15/2018

Semantic Feature Augmentation in Few-shot Learning

A fundamental problem with few-shot learning is the scarcity of data in ...

Zitian Chen, et al. ∙

research

∙ 04/12/2018

A Large-scale Attribute Dataset for Zero-shot Learning

Zero-Shot Learning (ZSL) has attracted huge research attention over the ...

Bo Zhao, et al. ∙

research

∙ 04/05/2018

Pixel2Mesh: Generating 3D Mesh Models from Single RGB Images

We propose an end-to-end deep learning architecture that produces a 3D s...

Nanyang Wang, et al. ∙

research

∙ 02/08/2018

Learning to score the figure skating sports videos

This paper targets at learning to score the figure skating sports videos...

Bing Zhang, et al. ∙

Yanwei Fu

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