b'Ling Shao'

research

∙ 03/14/2023

Graph Transformer GANs for Graph-Constrained House Generation

We present a novel graph Transformer generative adversarial network (GTG...

0 Hao Tang, et al. ∙

research

∙ 03/11/2023

FAC: 3D Representation Learning via Foreground Aware Feature Contrast

Contrastive learning has recently demonstrated great potential for unsup...

1 Kangcheng Liu, et al. ∙

research

∙ 02/02/2023

Adaptive Siamese Tracking with a Compact Latent Network

In this paper, we provide an intuitive viewing to simplify the Siamese-b...

0 Xingping Dong, et al. ∙

research

∙ 11/23/2022

Evolutionary Generalized Zero-Shot Learning

An open problem on the path to artificial intelligence is generalization...

0 Dubing Chen, et al. ∙

research

∙ 11/19/2022

Mutual Balancing in State-Object Components for Compositional Zero-Shot Learning

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

0 Chenyi Jiang, et al. ∙

research

∙ 11/12/2022

Bipartite Graph Reasoning GANs for Person Pose and Facial Image Synthesis

We present a novel bipartite graph reasoning Generative Adversarial Netw...

0 Hao Tang, et al. ∙

research

∙ 09/27/2022

Rethinking Clustering-Based Pseudo-Labeling for Unsupervised Meta-Learning

The pioneering method for unsupervised meta-learning, CACTUs, is a clust...

0 Xingping Dong, et al. ∙

research

∙ 07/30/2022

PolarMix: A General Data Augmentation Technique for LiDAR Point Clouds

LiDAR point clouds, which are usually scanned by rotating LiDAR sensors ...

0 Aoran Xiao, et al. ∙

research

∙ 07/14/2022

Pseudo-Labeling Based Practical Semi-Supervised Meta-Training for Few-Shot Learning

Most existing few-shot learning (FSL) methods require a large amount of ...

0 Xingping Dong, et al. ∙

research

∙ 07/08/2022

RePFormer: Refinement Pyramid Transformer for Robust Facial Landmark Detection

This paper presents a Refinement Pyramid Transformer (RePFormer) for rob...

0 Jinpeng Li, et al. ∙

research

∙ 04/25/2022

VITA: A Multi-Source Vicinal Transfer Augmentation Method for Out-of-Distribution Generalization

Invariance to diverse types of image corruption, such as noise, blurring...

0 Minghui Chen, et al. ∙

research

∙ 03/27/2022

Audio-Adaptive Activity Recognition Across Video Domains

This paper strives for activity recognition under domain shift, for exam...

11 Yunhua Zhang, et al. ∙

research

∙ 03/22/2022

High-resolution Iterative Feedback Network for Camouflaged Object Detection

Spotting camouflaged objects that are visually assimilated into the back...

0 Xiaobin Hu, et al. ∙

research

∙ 03/06/2022

Highly Accurate Dichotomous Image Segmentation

We present a systematic study on a new task called dichotomous image seg...

9 Xuebin Qin, et al. ∙

research

∙ 02/28/2022

Local and Global GANs with Semantic-Aware Upsampling for Image Generation

In this paper, we address the task of semantic-guided image generation. ...

0 Hao Tang, et al. ∙

research

∙ 02/16/2022

Learning to Generalize across Domains on Single Test Samples

We strive to learn a model from a set of source domains that generalizes...

2 Zehao Xiao, et al. ∙

research

∙ 02/15/2022

Pruning Networks with Cross-Layer Ranking k-Reciprocal Nearest Filters

This paper focuses on filter-level network pruning. A novel pruning meth...

5 Mingbao Lin, et al. ∙

research

∙ 02/10/2022

Consistency and Diversity induced Human Motion Segmentation

Subspace clustering is a classical technique that has been widely used f...

10 Tao Zhou, et al. ∙

research

∙ 01/10/2022

Pedestrian Detection: Domain Generalization, CNNs, Transformers and Beyond

Pedestrian detection is the cornerstone of many vision based application...

8 Irtiza Hasan, et al. ∙

research

∙ 12/28/2021

GuidedMix-Net: Semi-supervised Semantic Segmentation by Using Labeled Images as Reference

Semi-supervised learning is a challenging problem which aims to construc...

10 Peng Tu, et al. ∙

research

∙ 12/26/2021

Generative Kernel Continual learning

Kernel continual learning by <cit.> has recently emerged as a strong con...

12 Mohammad Mahdi Derakhshani, et al. ∙

research

∙ 12/16/2021

TransZero++: Cross Attribute-Guided Transformer for Zero-Shot Learning

Zero-shot learning (ZSL) tackles the novel class recognition problem by ...

4 Shiming Chen, et al. ∙

research

∙ 12/15/2021

Hierarchical Variational Memory for Few-shot Learning Across Domains

Neural memory enables fast adaptation to new tasks with just a few train...

9 Yingjun Du, et al. ∙

research

∙ 12/09/2021

Specificity-Preserving Federated Learning for MR Image Reconstruction

Federated learning (FL) can be used to improve data privacy and efficien...

12 Chun-Mei Feng, et al. ∙

research

∙ 12/05/2021

Global-Local Context Network for Person Search

Person search aims to jointly localize and identify a query person from ...

0 Peng Zheng, et al. ∙

research

∙ 11/10/2021

Multi-Task Neural Processes

Neural processes have recently emerged as a class of powerful neural lat...

0 Jiayi Shen, et al. ∙

research

∙ 11/09/2021

Variational Multi-Task Learning with Gumbel-Softmax Priors

Multi-task learning aims to explore task relatedness to improve individu...

0 Jiayi Shen, et al. ∙

research

∙ 10/15/2021

Multi-modal Aggregation Network for Fast MR Imaging

Magnetic resonance (MR) imaging is a commonly used scanning technique fo...

0 Chun-Mei Feng, et al. ∙

research

∙ 10/02/2021

Light Field Saliency Detection with Dual Local Graph Learning andReciprocative Guidance

The application of light field data in salient object de-tection is beco...

0 Nian Liu, et al. ∙

research

∙ 10/01/2021

Summarize and Search: Learning Consensus-aware Dynamic Convolution for Co-Saliency Detection

Humans perform co-saliency detection by first summarizing the consensus ...

0 Ni Zhang, et al. ∙

research

∙ 09/15/2021

RGB-D Saliency Detection via Cascaded Mutual Information Minimization

Existing RGB-D saliency detection models do not explicitly encourage RGB...

0 Jing Zhang, et al. ∙

research

∙ 09/03/2021

Exploring Separable Attention for Multi-Contrast MR Image Super-Resolution

Super-resolving the Magnetic Resonance (MR) image of a target contrast u...

4 Chun-Mei Feng, et al. ∙

research

∙ 08/30/2021

Seminar Learning for Click-Level Weakly Supervised Semantic Segmentation

Annotation burden has become one of the biggest barriers to semantic seg...

0 Hongjun Chen, et al. ∙

research

∙ 08/20/2021

Discriminative Region-based Multi-Label Zero-Shot Learning

Multi-label zero-shot learning (ZSL) is a more realistic counter-part of...

7 Sanath Narayan, et al. ∙

research

∙ 08/19/2021

Learning Anchored Unsigned Distance Functions with Gradient Direction Alignment for Single-view Garment Reconstruction

While single-view 3D reconstruction has made significant progress benefi...

0 Fang Zhao, et al. ∙

research

∙ 08/18/2021

Specificity-preserving RGB-D Saliency Detection

RGB-D saliency detection has attracted increasing attention, due to its ...

12 Tao Zhou, et al. ∙

research

∙ 08/16/2021

Polyp-PVT: Polyp Segmentation with Pyramid Vision Transformers

Most polyp segmentation methods use CNNs as their backbone, leading to t...

11 Bo Dong, et al. ∙

research

∙ 08/08/2021

From Voxel to Point: IoU-guided 3D Object Detection for Point Cloud with Voxel-to-Point Decoder

In this paper, we present an Intersection-over-Union (IoU) guided two-st...

0 Jiale Li, et al. ∙

research

∙ 08/08/2021

Anchor-free 3D Single Stage Detector with Mask-Guided Attention for Point Cloud

Most of the existing single-stage and two-stage 3D object detectors are ...

0 Jiale Li, et al. ∙

research

∙ 08/06/2021

Full-Duplex Strategy for Video Object Segmentation

Appearance and motion are two important sources of information in video ...

0 Ge-Peng Ji, et al. ∙

research

∙ 07/29/2021

FREE: Feature Refinement for Generalized Zero-Shot Learning

Generalized zero-shot learning (GZSL) has achieved significant progress,...

0 Shiming Chen, et al. ∙

research

∙ 07/24/2021

ASOD60K: Audio-Induced Salient Object Detection in Panoramic Videos

Exploring to what humans pay attention in dynamic panoramic scenes is us...

7 Yi Zhang, et al. ∙

research

∙ 07/15/2021

Variational Topic Inference for Chest X-Ray Report Generation

Automating report generation for medical imaging promises to reduce work...

11 Ivona Najdenkoska, et al. ∙

research

∙ 07/12/2021

Kernel Continual Learning

This paper introduces kernel continual learning, a simple but effective ...

3 Mohammad Mahdi Derakhshani, et al. ∙

research

∙ 07/12/2021

Structured Latent Embeddings for Recognizing Unseen Classes in Unseen Domains

The need to address the scarcity of task-specific annotated data has res...

8 Shivam Chandhok, et al. ∙

research

∙ 07/10/2021

Local-to-Global Self-Attention in Vision Transformers

Transformers have demonstrated great potential in computer vision tasks....

0 Jinpeng Li, et al. ∙

research

∙ 07/08/2021

Instance-Level Relative Saliency Ranking with Graph Reasoning

Conventional salient object detection models cannot differentiate the im...

5 Nian Liu, et al. ∙

research

∙ 07/07/2021

Bi-level Feature Alignment for Versatile Image Translation and Manipulation

Generative adversarial networks (GANs) have achieved great success in im...

4 Fangneng Zhan, et al. ∙

research

∙ 06/29/2021

GuidedMix-Net: Learning to Improve Pseudo Masks Using Labeled Images as Reference

Semi-supervised learning is a challenging problem which aims to construc...

7 Peng Tu, et al. ∙

research

∙ 06/27/2021

Accelerated Multi-Modal MR Imaging with Transformers

Accelerating multi-modal magnetic resonance (MR) imaging is a new and ef...

25 Chun-Mei Feng, et al. ∙

Ling Shao

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