b'Yanwei Fu'

research

∙ 01/06/2023

Exploring Efficient Few-shot Adaptation for Vision Transformers

The task of Few-shot Learning (FSL) aims to do the inference on novel ca...

Chengming Xu, et al. ∙

research

∙ 01/03/2023

Vocabulary-informed Zero-shot and Open-set Learning

Despite significant progress in object categorization, in recent years, ...

Yanwei Fu, et al. ∙

research

∙ 01/02/2023

Knockoffs-SPR: Clean Sample Selection in Learning with Noisy Labels

A noisy training set usually leads to the degradation of the generalizat...

Yikai Wang, et al. ∙

research

∙ 11/30/2022

Split-PU: Hardness-aware Training Strategy for Positive-Unlabeled Learning

Positive-Unlabeled (PU) learning aims to learn a model with rare positiv...

Chengming Xu, et al. ∙

research

∙ 11/29/2022

PatchMix Augmentation to Identify Causal Features in Few-shot Learning

The task of Few-shot learning (FSL) aims to transfer the knowledge learn...

Chengming Xu, et al. ∙

research

∙ 11/28/2022

RankDNN: Learning to Rank for Few-shot Learning

This paper introduces a new few-shot learning pipeline that casts releva...

Qianyu Guo, et al. ∙

research

∙ 10/23/2022

Self-supervised Amodal Video Object Segmentation

Amodal perception requires inferring the full shape of an object that is...

Jian Yao, et al. ∙

research

∙ 10/12/2022

ZITS++: Image Inpainting by Improving the Incremental Transformer on Structural Priors

The image inpainting task fills missing areas of a corrupted image. Desp...

Chenjie Cao, et al. ∙

research

∙ 10/11/2022

ME-D2N: Multi-Expert Domain Decompositional Network for Cross-Domain Few-Shot Learning

Recently, Cross-Domain Few-Shot Learning (CD-FSL) which aims at addressi...

Yuqian Fu, et al. ∙

research

∙ 10/07/2022

Specialized Re-Ranking: A Novel Retrieval-Verification Framework for Cloth Changing Person Re-Identification

Cloth changing person re-identification(Re-ID) can work under more compl...

Renjie Zhang, et al. ∙

research

∙ 08/18/2022

LoRD: Local 4D Implicit Representation for High-Fidelity Dynamic Human Modeling

Recent progress in 4D implicit representation focuses on globally contro...

Boyan Jiang, et al. ∙

research

∙ 08/04/2022

MVSFormer: Multi-View Stereo with Pre-trained Vision Transformers and Temperature-based Depth

Feature representation learning is the key recipe for learning-based Mul...

Chenjie Cao, et al. ∙

research

∙ 08/03/2022

Learning Prior Feature and Attention Enhanced Image Inpainting

Many recent inpainting works have achieved impressive results by leverag...

Chenjie Cao, et al. ∙

research

∙ 07/19/2022

RCLane: Relay Chain Prediction for Lane Detection

Lane detection is an important component of many real-world autonomous s...

Shenghua Xu, et al. ∙

research

∙ 07/19/2022

Visual Representation Learning with Transformer: A Sequence-to-Sequence Perspective

Visual representation learning is the key of solving various vision prob...

Li Zhang, et al. ∙

research

∙ 07/17/2022

A Simple Test-Time Method for Out-of-Distribution Detection

Neural networks are known to produce over-confident predictions on input...

Ke Fan, et al. ∙

research

∙ 06/17/2022

Local Slot Attention for Vision-and-Language Navigation

Vision-and-language navigation (VLN), a frontier study aiming to pave th...

Yifeng Zhuang, et al. ∙

research

∙ 06/07/2022

Wavelet Prior Attention Learning in Axial Inpainting Network

Image inpainting is the task of filling masked or unknown regions of an ...

Chenjie Cao, et al. ∙

research

∙ 05/09/2022

Learning 6-DoF Object Poses to Grasp Category-level Objects by Language Instructions

This paper studies the task of any objects grasping from the known categ...

Chilam Cheang, et al. ∙

research

∙ 05/09/2022

I Know What You Draw: Learning Grasp Detection Conditioned on a Few Freehand Sketches

In this paper, we are interested in the problem of generating target gra...

Haitao Lin, et al. ∙

research

∙ 04/30/2022

ONCE-3DLanes: Building Monocular 3D Lane Detection

We present ONCE-3DLanes, a real-world autonomous driving dataset with la...

Fan Yan, et al. ∙

research

∙ 04/27/2022

Density-preserving Deep Point Cloud Compression

Local density of point clouds is crucial for representing local details,...

Yun He, et al. ∙

research

∙ 04/22/2022

Reinforcing Generated Images via Meta-learning for One-Shot Fine-Grained Visual Recognition

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

Satoshi Tsutsui, et al. ∙

research

∙ 04/21/2022

Pixel2Mesh++: 3D Mesh Generation and Refinement from Multi-View Images

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

Chao Wen, et al. ∙

research

∙ 04/09/2022

ManiTrans: Entity-Level Text-Guided Image Manipulation via Token-wise Semantic Alignment and Generation

Existing text-guided image manipulation methods aim to modify the appear...

Jianan Wang, et al. ∙

research

∙ 04/03/2022

DST: Dynamic Substitute Training for Data-free Black-box Attack

With the wide applications of deep neural network models in various comp...

Wenxuan Wang, et al. ∙

research

∙ 03/31/2022

ImpDet: Exploring Implicit Fields for 3D Object Detection

Conventional 3D object detection approaches concentrate on bounding boxe...

Xuelin Qian, et al. ∙

research

∙ 03/28/2022

A Framework of Meta Functional Learning for Regularising Knowledge Transfer

Machine learning classifiers' capability is largely dependent on the sca...

Pan Li, et al. ∙

research

∙ 03/27/2022

An Empirical Study and Comparison of Recent Few-Shot Object Detection Algorithms

The generic object detection (GOD) task has been successfully tackled by...

Tianying Liu, et al. ∙

research

∙ 03/22/2022

QS-Craft: Learning to Quantize, Scrabble and Craft for Conditional Human Motion Animation

This paper studies the task of conditional Human Motion Animation (cHMA)...

Yuxin Hong, et al. ∙

research

∙ 03/15/2022

Scalable Penalized Regression for Noise Detection in Learning with Noisy Labels

Noisy training set usually leads to the degradation of generalization an...

Yikai Wang, et al. ∙

research

∙ 03/15/2022

Wave-SAN: Wavelet based Style Augmentation Network for Cross-Domain Few-Shot Learning

Previous few-shot learning (FSL) works mostly are limited to natural ima...

Yuqian Fu, et al. ∙

research

∙ 03/02/2022

H4D: Human 4D Modeling by Learning Neural Compositional Representation

Despite the impressive results achieved by deep learning based 3D recons...

Boyan Jiang, et al. ∙

research

∙ 03/02/2022

Incremental Transformer Structure Enhanced Image Inpainting with Masking Positional Encoding

Image inpainting has made significant advances in recent years. However,...

Qiaole Dong, et al. ∙

research

∙ 02/20/2022

Clustering by the Probability Distributions from Extreme Value Theory

Clustering is an essential task to unsupervised learning. It tries to au...

Sixiao Zheng, et al. ∙

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. ∙

Yanwei Fu

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