Yongqin Xian | DeepAI

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Luc Van Gool
414 publications
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Federico Tombari
130 publications
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Zeynep Akata
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Lorenzo Torresani
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∙ 04/22/2023

Detecting Adversarial Faces Using Only Real Face Self-Perturbations

Adversarial attacks aim to disturb the functionality of a target system ...

0 Qian Wang, et al. ∙

∙ 02/01/2023

Learning Prototype Classifiers for Long-Tailed Recognition

The problem of long-tailed recognition (LTR) has received attention in r...

0 Saurabh Sharma, et al. ∙

∙ 12/15/2022

Urban Scene Semantic Segmentation with Low-Cost Coarse Annotation

For best performance, today's semantic segmentation methods use large an...

0 Anurag Das, et al. ∙

∙ 12/05/2022

I2MVFormer: Large Language Model Generated Multi-View Document Supervision for Zero-Shot Image Classification

Recent works have shown that unstructured text (documents) from online s...

0 Muhammad Ferjad Naeem, et al. ∙

∙ 09/21/2022

I2DFormer: Learning Image to Document Attention for Zero-Shot Image Classification

Despite the tremendous progress in zero-shot learning(ZSL), the majority...

0 Muhammad Ferjad Naeem, et al. ∙

∙ 04/04/2022

Attribute Prototype Network for Any-Shot Learning

Any-shot image classification allows to recognize novel classes with onl...

9 Wenjia Xu, et al. ∙

∙ 03/20/2022

VGSE: Visually-Grounded Semantic Embeddings for Zero-Shot Learning

Human-annotated attributes serve as powerful semantic embeddings in zero...

5 Wenjia Xu, et al. ∙

∙ 11/29/2021

3D Compositional Zero-shot Learning with DeCompositional Consensus

Parts represent a basic unit of geometric and semantic similarity across...

7 Muhammad Ferjad Naeem, et al. ∙

∙ 05/03/2021

Learning Graph Embeddings for Open World Compositional Zero-Shot Learning

Compositional Zero-Shot learning (CZSL) aims to recognize unseen composi...

17 Massimiliano Mancini, et al. ∙

∙ 04/22/2021

Distilling Audio-Visual Knowledge by Compositional Contrastive Learning

Having access to multi-modal cues (e.g. vision and audio) empowers some ...

8 Yanbei Chen, et al. ∙

∙ 04/21/2021

A Closer Look at Self-training for Zero-Label Semantic Segmentation

Being able to segment unseen classes not observed during training is an ...

11 Giuseppe Pastore, et al. ∙

∙ 02/03/2021

Learning Graph Embeddings for Compositional Zero-shot Learning

In compositional zero-shot learning, the goal is to recognize unseen com...

14 Muhammad Ferjad Naeem, et al. ∙

∙ 01/29/2021

Open World Compositional Zero-Shot Learning

Compositional Zero-Shot learning (CZSL) requires to recognize state-obje...

1 Massimiliano Mancini, et al. ∙

∙ 11/30/2020

A Few Guidelines for Incremental Few-Shot Segmentation

Reducing the amount of supervision required by neural networks is especi...

9 Fabio Cermelli, et al. ∙

∙ 08/19/2020

Attribute Prototype Network for Zero-Shot Learning

From the beginning of zero-shot learning research, visual attributes hav...

2 Wenjia Xu, et al. ∙

∙ 07/09/2020

Generalized Many-Way Few-Shot Video Classification

Few-shot learning methods operate in low data regimes. The aim is to lea...

14 Yongqin Xian, et al. ∙

∙ 02/05/2020

Analyzing the Dependency of ConvNets on Spatial Information

Intuitively, image classification should profit from using spatial infor...

0 Yue Fan, et al. ∙

∙ 03/25/2019

f-VAEGAN-D2: A Feature Generating Framework for Any-Shot Learning

When labeled training data is scarce, a promising data augmentation appr...

0 Yongqin Xian, et al. ∙

∙ 12/04/2017

Feature Generating Networks for Zero-Shot Learning

Suffering from the extreme training data imbalance between seen and unse...

0 Yongqin Xian, et al. ∙

∙ 07/03/2017

Zero-Shot Learning - A Comprehensive Evaluation of the Good, the Bad and the Ugly

Due to the importance of zero-shot learning, i.e. classifying images whe...

0 Yongqin Xian, et al. ∙

∙ 03/13/2017

Zero-Shot Learning - The Good, the Bad and the Ugly

Due to the importance of zero-shot learning, the number of proposed appr...

0 Yongqin Xian, et al. ∙

∙ 03/29/2016

Latent Embeddings for Zero-shot Classification

We present a novel latent embedding model for learning a compatibility f...

0 Yongqin Xian, et al. ∙

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