Search Results for author: Jufeng Yang

Found 22 papers, 10 papers with code

BBS-Net: RGB-D Salient Object Detection with a Bifurcated Backbone Strategy Network

1 code implementation ECCV 2020 Deng-Ping Fan, Yingjie Zhai, Ali Borji, Jufeng Yang, Ling Shao

In particular, we 1) propose a bifurcated backbone strategy (BBS) to split the multi-level features into teacher and student features, and 2) utilize a depth-enhanced module (DEM) to excavate informative parts of depth cues from the channel and spatial views.

object-detection RGB-D Salient Object Detection +1

Multiple Planar Object Tracking

no code implementations ICCV 2023 Zhicheng Zhang, Shengzhe Liu, Jufeng Yang

Specifically, we present a dual-branch network to track the visible part of planar objects, including vertexes and mask.

Object Tracking

Probing Sentiment-Oriented Pre-Training Inspired by Human Sentiment Perception Mechanism

1 code implementation CVPR 2023 Tinglei Feng, Jiaxuan Liu, Jufeng Yang

Pre-training of deep convolutional neural networks (DCNNs) plays a crucial role in the field of visual sentiment analysis (VSA).

Multi-Label Learning Sentiment Analysis

DIP: Dual Incongruity Perceiving Network for Sarcasm Detection

1 code implementation CVPR 2023 Changsong Wen, Guoli Jia, Jufeng Yang

The distribution is generated from the latest data stored in the memory bank, which can adaptively model the difference of semantic similarity between sarcastic and non-sarcastic data.

Sarcasm Detection Semantic Similarity +1

Ordinal Label Distribution Learning

no code implementations ICCV 2023 Changsong Wen, Xin Zhang, Xingxu Yao, Jufeng Yang

Therefore, we propose a new paradigm, termed ordinal label distribution learning (OLDL).

Age Estimation

Progressive Neighbor Consistency Mining for Correspondence Pruning

1 code implementation CVPR 2023 Xin Liu, Jufeng Yang

In the end, we develop a Neighbor Consistency Mining Network (NCMNet) for accurately recovering camera poses and identifying inliers.

Multi-Source Domain Adaptation for Object Detection

no code implementations ICCV 2021 Xingxu Yao, Sicheng Zhao, Pengfei Xu, Jufeng Yang

To reduce annotation labor associated with object detection, an increasing number of studies focus on transferring the learned knowledge from a labeled source domain to another unlabeled target domain.

Domain Adaptation object-detection +2

Emotional Semantics-Preserved and Feature-Aligned CycleGAN for Visual Emotion Adaptation

no code implementations25 Nov 2020 Sicheng Zhao, Xuanbai Chen, Xiangyu Yue, Chuang Lin, Pengfei Xu, Ravi Krishna, Jufeng Yang, Guiguang Ding, Alberto L. Sangiovanni-Vincentelli, Kurt Keutzer

First, we generate an adapted domain to align the source and target domains on the pixel-level by improving CycleGAN with a multi-scale structured cycle-consistency loss.

Emotion Classification Emotion Recognition +1

Curriculum CycleGAN for Textual Sentiment Domain Adaptation with Multiple Sources

1 code implementation17 Nov 2020 Sicheng Zhao, Yang Xiao, Jiang Guo, Xiangyu Yue, Jufeng Yang, Ravi Krishna, Pengfei Xu, Kurt Keutzer

C-CycleGAN transfers source samples at instance-level to an intermediate domain that is closer to the target domain with sentiment semantics preserved and without losing discriminative features.

Domain Adaptation Sentiment Analysis +1

Emotion-Based End-to-End Matching Between Image and Music in Valence-Arousal Space

1 code implementation22 Aug 2020 Sicheng Zhao, Yaxian Li, Xingxu Yao, Wei-Zhi Nie, Pengfei Xu, Jufeng Yang, Kurt Keutzer

In this paper, we study end-to-end matching between image and music based on emotions in the continuous valence-arousal (VA) space.

Metric Learning

Bifurcated backbone strategy for RGB-D salient object detection

2 code implementations6 Jul 2020 Yingjie Zhai, Deng-Ping Fan, Jufeng Yang, Ali Borji, Ling Shao, Junwei Han, Liang Wang

In particular, first, we propose to regroup the multi-level features into teacher and student features using a bifurcated backbone strategy (BBS).

object-detection RGB-D Salient Object Detection +2

EGNet:Edge Guidance Network for Salient Object Detection

3 code implementations22 Aug 2019 Jia-Xing Zhao, Jiang-Jiang Liu, Den-Ping Fan, Yang Cao, Jufeng Yang, Ming-Ming Cheng

In the second step, we integrate the local edge information and global location information to obtain the salient edge features.

object-detection RGB Salient Object Detection +1

Simultaneous Subspace Clustering and Cluster Number Estimating based on Triplet Relationship

no code implementations23 Jan 2019 Jie Liang, Jufeng Yang, Ming-Ming Cheng, Paul L. Rosin, Liang Wang

In this paper we propose a unified framework to simultaneously discover the number of clusters and group the data points into them using subspace clustering.

Clustering Model Selection

Learning from Web Data: the Benefit of Unsupervised Object Localization

no code implementations21 Dec 2018 Xiaoxiao Sun, Liang Zheng, Yu-Kun Lai, Jufeng Yang

In this work, we first systematically study the built-in gap between the web and standard datasets, i. e. different data distributions between the two kinds of data.

Fine-Grained Image Classification General Classification +2

Sub-GAN: An Unsupervised Generative Model via Subspaces

no code implementations ECCV 2018 Jie Liang, Jufeng Yang, Hsin-Ying Lee, Kai Wang, Ming-Hsuan Yang

The recent years have witnessed significant growth in constructing robust generative models to capture informative distributions of natural data.

Weakly Supervised Coupled Networks for Visual Sentiment Analysis

1 code implementation CVPR 2018 Jufeng Yang, Dongyu She, Yu-Kun Lai, Paul L. Rosin, Ming-Hsuan Yang

The second branch utilizes both the holistic and localized information by coupling the sentiment map with deep features for robust classification.

General Classification Robust classification +1

Clinical Skin Lesion Diagnosis Using Representations Inspired by Dermatologist Criteria

no code implementations CVPR 2018 Jufeng Yang, Xiaoxiao Sun, Jie Liang, Paul L. Rosin

Accordingly, we design six medical representations considering different criteria for the recognition of skin lesions, and construct a diagnosis system for clinical skin disease images.

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