Search Results for author: Yunchao Wei

Found 105 papers, 53 papers with code

Content-Consistent Matching for Domain Adaptive Semantic Segmentation

1 code implementation ECCV 2020 Guangrui Li, Guoliang Kang, Wu Liu, Yunchao Wei, Yi Yang

The target of CCM is to acquire those synthetic images that share similar distribution with the real ones in the target domain, so that the domain gap can be naturally alleviated by employing the content-consistent synthetic images for training.

Domain Adaptation Semantic Segmentation +1

Unified Frequency-Assisted Transformer Framework for Detecting and Grounding Multi-Modal Manipulation

no code implementations18 Sep 2023 Huan Liu, Zichang Tan, Qiang Chen, Yunchao Wei, Yao Zhao, Jingdong Wang

Moreover, to address the semantic conflicts between image and frequency domains, the forgery-aware mutual module is developed to further enable the effective interaction of disparate image and frequency features, resulting in aligned and comprehensive visual forgery representations.


StableLLaVA: Enhanced Visual Instruction Tuning with Synthesized Image-Dialogue Data

1 code implementation20 Aug 2023 Yanda Li, Chi Zhang, Gang Yu, Zhibin Wang, Bin Fu, Guosheng Lin, Chunhua Shen, Ling Chen, Yunchao Wei

The remarkable multimodal capabilities demonstrated by OpenAI's GPT-4 have sparked significant interest in the development of multimodal Large Language Models (LLMs).

CTP: Towards Vision-Language Continual Pretraining via Compatible Momentum Contrast and Topology Preservation

1 code implementation14 Aug 2023 Hongguang Zhu, Yunchao Wei, Xiaodan Liang, Chunjie Zhang, Yao Zhao

Regarding the growing nature of real-world data, such an offline training paradigm on ever-expanding data is unsustainable, because models lack the continual learning ability to accumulate knowledge constantly.

Continual Learning Continual Pretraining

CLE Diffusion: Controllable Light Enhancement Diffusion Model

no code implementations13 Aug 2023 Yuyang Yin, Dejia Xu, Chuangchuang Tan, Ping Liu, Yao Zhao, Yunchao Wei

Low light enhancement has gained increasing importance with the rapid development of visual creation and editing.

Disentangled Pre-training for Image Matting

no code implementations3 Apr 2023 Yanda Li, Zilong Huang, Gang Yu, Ling Chen, Yunchao Wei, Jianbo Jiao

The pre-training task is designed in a similar manner as image matting, where random trimap and alpha matte are generated to achieve an image disentanglement objective.

Disentanglement Image Matting

Progressive Semantic-Visual Mutual Adaption for Generalized Zero-Shot Learning

1 code implementation CVPR 2023 Man Liu, Feng Li, Chunjie Zhang, Yunchao Wei, Huihui Bai, Yao Zhao

Generalized Zero-Shot Learning (GZSL) identifies unseen categories by knowledge transferred from the seen domain, relying on the intrinsic interactions between visual and semantic information.

Generalized Zero-Shot Learning

Global Knowledge Calibration for Fast Open-Vocabulary Segmentation

no code implementations16 Mar 2023 Kunyang Han, Yong liu, Jun Hao Liew, Henghui Ding, Yunchao Wei, Jiajun Liu, Yitong Wang, Yansong Tang, Yujiu Yang, Jiashi Feng, Yao Zhao

Recent advancements in pre-trained vision-language models, such as CLIP, have enabled the segmentation of arbitrary concepts solely from textual inputs, a process commonly referred to as open-vocabulary semantic segmentation (OVS).

Knowledge Distillation Open Vocabulary Semantic Segmentation +3

Adversarially Masking Synthetic To Mimic Real: Adaptive Noise Injection for Point Cloud Segmentation Adaptation

no code implementations CVPR 2023 Guangrui Li, Guoliang Kang, Xiaohan Wang, Yunchao Wei, Yi Yang

With the help of adversarial training, the masking module can learn to generate source masks to mimic the pattern of irregular target noise, thereby narrowing the domain gap.

Point Cloud Segmentation Semantic Segmentation

Learning To Segment Every Referring Object Point by Point

no code implementations CVPR 2023 Mengxue Qu, Yu Wu, Yunchao Wei, Wu Liu, Xiaodan Liang, Yao Zhao

Extensive experiments show that our model achieves 52. 06% in terms of accuracy (versus 58. 93% in fully supervised setting) on RefCOCO+@testA, when only using 1% of the mask annotations.

Referring Expression Referring Expression Segmentation

Mask Matching Transformer for Few-Shot Segmentation

1 code implementation5 Dec 2022 Siyu Jiao, Gengwei Zhang, Shant Navasardyan, Ling Chen, Yao Zhao, Yunchao Wei, Humphrey Shi

Typical methods follow the paradigm to firstly learn prototypical features from support images and then match query features in pixel-level to obtain segmentation results.

Few-Shot Semantic Segmentation

Mining Unseen Classes via Regional Objectness: A Simple Baseline for Incremental Segmentation

1 code implementation13 Nov 2022 Zekang Zhang, Guangyu Gao, Zhiyuan Fang, Jianbo Jiao, Yunchao Wei

Our MicroSeg is based on the assumption that background regions with strong objectness possibly belong to those concepts in the historical or future stages.

Class-Incremental Semantic Segmentation Continual Learning +1

VMFormer: End-to-End Video Matting with Transformer

1 code implementation26 Aug 2022 Jiachen Li, Vidit Goel, Marianna Ohanyan, Shant Navasardyan, Yunchao Wei, Humphrey Shi

In this paper, we propose VMFormer: a transformer-based end-to-end method for video matting.

Video Matting

Instance As Identity: A Generic Online Paradigm for Video Instance Segmentation

1 code implementation5 Aug 2022 Feng Zhu, Zongxin Yang, Xin Yu, Yi Yang, Yunchao Wei

In this work, we propose a new online VIS paradigm named Instance As Identity (IAI), which models temporal information for both detection and tracking in an efficient way.

Instance Segmentation Semantic Segmentation +1

SiRi: A Simple Selective Retraining Mechanism for Transformer-based Visual Grounding

1 code implementation27 Jul 2022 Mengxue Qu, Yu Wu, Wu Liu, Qiqi Gong, Xiaodan Liang, Olga Russakovsky, Yao Zhao, Yunchao Wei

Particularly, SiRi conveys a significant principle to the research of visual grounding, i. e., a better initialized vision-language encoder would help the model converge to a better local minimum, advancing the performance accordingly.

Visual Grounding

Entity-Graph Enhanced Cross-Modal Pretraining for Instance-level Product Retrieval

no code implementations17 Jun 2022 Xiao Dong, Xunlin Zhan, Yunchao Wei, XiaoYong Wei, YaoWei Wang, Minlong Lu, Xiaochun Cao, Xiaodan Liang

Our goal in this research is to study a more realistic environment in which we can conduct weakly-supervised multi-modal instance-level product retrieval for fine-grained product categories.


FisheyeEX: Polar Outpainting for Extending the FoV of Fisheye Lens

1 code implementation12 Jun 2022 Kang Liao, Chunyu Lin, Yunchao Wei, Yao Zhao

For the distortion synthesis, we propose a spiral distortion-aware perception module, in which the learning path keeps consistent with the distortion prior of the fisheye image.

Image Outpainting

Cylin-Painting: Seamless 360° Panoramic Image Outpainting and Beyond with Cylinder-Style Convolutions

1 code implementation18 Apr 2022 Kang Liao, Xiangyu Xu, Chunyu Lin, Wenqi Ren, Yunchao Wei, Yao Zhao

Motivated by this analysis, we present a Cylin-Painting framework that involves meaningful collaborations between inpainting and outpainting and efficiently fuses the different arrangements, with a view to leveraging their complementary benefits on a consistent and seamless cylinder.

Depth Estimation Image Outpainting +3

L2G: A Simple Local-to-Global Knowledge Transfer Framework for Weakly Supervised Semantic Segmentation

1 code implementation CVPR 2022 Peng-Tao Jiang, YuQi Yang, Qibin Hou, Yunchao Wei

Our framework conducts the global network to learn the captured rich object detail knowledge from a global view and thereby produces high-quality attention maps that can be directly used as pseudo annotations for semantic segmentation networks.

Transfer Learning Weakly supervised Semantic Segmentation +1

Large-Scale Video Panoptic Segmentation in the Wild: A Benchmark

1 code implementation CVPR 2022 Jiaxu Miao, Xiaohan Wang, Yu Wu, Wei Li, Xu Zhang, Yunchao Wei, Yi Yang

In contrast, our large-scale VIdeo Panoptic Segmentation in the Wild (VIPSeg) dataset provides 3, 536 videos and 84, 750 frames with pixel-level panoptic annotations, covering a wide range of real-world scenarios and categories.

Panoptic Segmentation Video Panoptic Segmentation

Clicking Matters:Towards Interactive Human Parsing

no code implementations11 Nov 2021 Yutong Gao, Liqian Liang, Congyan Lang, Songhe Feng, Yidong Li, Yunchao Wei

In this work, we focus on Interactive Human Parsing (IHP), which aims to segment a human image into multiple human body parts with guidance from users' interactions.

Human Parsing Image Segmentation +1

M5Product: Self-harmonized Contrastive Learning for E-commercial Multi-modal Pretraining

no code implementations CVPR 2022 Xiao Dong, Xunlin Zhan, Yangxin Wu, Yunchao Wei, Michael C. Kampffmeyer, XiaoYong Wei, Minlong Lu, YaoWei Wang, Xiaodan Liang

Despite the potential of multi-modal pre-training to learn highly discriminative feature representations from complementary data modalities, current progress is being slowed by the lack of large-scale modality-diverse datasets.

Contrastive Learning

Understanding and Accelerating Neural Architecture Search with Training-Free and Theory-Grounded Metrics

1 code implementation26 Aug 2021 Wuyang Chen, Xinyu Gong, Junru Wu, Yunchao Wei, Humphrey Shi, Zhicheng Yan, Yi Yang, Zhangyang Wang

This work targets designing a principled and unified training-free framework for Neural Architecture Search (NAS), with high performance, low cost, and in-depth interpretation.

Neural Architecture Search

Generating Superpixels for High-resolution Images with Decoupled Patch Calibration

no code implementations19 Aug 2021 Yaxiong Wang, Yunchao Wei, Xueming Qian, Li Zhu, Yi Yang

Superpixel segmentation has recently seen important progress benefiting from the advances in differentiable deep learning.

Superpixels Vocal Bursts Intensity Prediction

Product1M: Towards Weakly Supervised Instance-Level Product Retrieval via Cross-modal Pretraining

1 code implementation ICCV 2021 Xunlin Zhan, Yangxin Wu, Xiao Dong, Yunchao Wei, Minlong Lu, Yichi Zhang, Hang Xu, Xiaodan Liang

In this paper, we investigate a more realistic setting that aims to perform weakly-supervised multi-modal instance-level product retrieval among fine-grained product categories.


LayerCAM: Exploring Hierarchical Class Activation Maps for Localization

3 code implementations IEEE 2021 Peng-Tao Jiang, Chang-Bin Zhang, Qibin Hou, Ming-Ming Cheng, Yunchao Wei

To evaluate the quality of the class activation maps produced by LayerCAM, we apply them to weakly-supervised object localization and semantic segmentation.

Semantic Segmentation Weakly-Supervised Object Localization

ReGO: Reference-Guided Outpainting for Scenery Image

1 code implementation20 Jun 2021 Yaxiong Wang, Yunchao Wei, Xueming Qian, Li Zhu, Yi Yang

We aim to tackle the challenging yet practical scenery image outpainting task in this work.

Image Outpainting

Automated Deepfake Detection

no code implementations20 Jun 2021 Ping Liu, Yuewei Lin, Yang He, Yunchao Wei, Liangli Zhen, Joey Tianyi Zhou, Rick Siow Mong Goh, Jingen Liu

In this paper, we propose to utilize Automated Machine Learning to adaptively search a neural architecture for deepfake detection.

BIG-bench Machine Learning DeepFake Detection +1

VSPW: A Large-scale Dataset for Video Scene Parsing in the Wild

no code implementations CVPR 2021 Jiaxu Miao, Yunchao Wei, Yu Wu, Chen Liang, Guangrui Li, Yi Yang

To the best of our knowledge, our VSPW is the first attempt to tackle the challenging video scene parsing task in the wild by considering diverse scenarios.

Scene Parsing

Affinity Attention Graph Neural Network for Weakly Supervised Semantic Segmentation

1 code implementation8 Jun 2021 Bingfeng Zhang, Jimin Xiao, Jianbo Jiao, Yunchao Wei, Yao Zhao

More importantly, our approach can be readily applied to bounding box supervised instance segmentation task or other weakly supervised semantic segmentation tasks, with state-of-the-art or comparable performance among almot all weakly supervised tasks on PASCAL VOC or COCO dataset.

Box-supervised Instance Segmentation Model Optimization +2

Domain Consensus Clustering for Universal Domain Adaptation

1 code implementation CVPR 2021 Guangrui Li, Guoliang Kang, Yi Zhu, Yunchao Wei, Yi Yang

To better exploit the intrinsic structure of the target domain, we propose Domain Consensus Clustering (DCC), which exploits the domain consensus knowledge to discover discriminative clusters on both common samples and private ones.

Clustering Open Set Learning +2

Associating Objects with Transformers for Video Object Segmentation

2 code implementations NeurIPS 2021 Zongxin Yang, Yunchao Wei, Yi Yang

The state-of-the-art methods learn to decode features with a single positive object and thus have to match and segment each target separately under multi-object scenarios, consuming multiple times computing resources.

One-shot visual object segmentation Semantic Segmentation +1

Cross-Modal Progressive Comprehension for Referring Segmentation

1 code implementation15 May 2021 Si Liu, Tianrui Hui, Shaofei Huang, Yunchao Wei, Bo Li, Guanbin Li

In this paper, we propose a Cross-Modal Progressive Comprehension (CMPC) scheme to effectively mimic human behaviors and implement it as a CMPC-I (Image) module and a CMPC-V (Video) module to improve referring image and video segmentation models.

Image Segmentation Referring Expression Segmentation +3

Decoupled Spatial Temporal Graphs for Generic Visual Grounding

no code implementations18 Mar 2021 Qianyu Feng, Yunchao Wei, MingMing Cheng, Yi Yang

Visual grounding is a long-lasting problem in vision-language understanding due to its diversity and complexity.

Contrastive Learning Visual Grounding

AINet: Association Implantation for Superpixel Segmentation

no code implementations ICCV 2021 Yaxiong Wang, Yunchao Wei, Xueming Qian, Li Zhu, Yi Yang

However, simply applying a series of convolution operations with limited receptive fields can only implicitly perceive the relations between the pixel and its surrounding grids.

Towards Complete Scene and Regular Shape for Distortion Rectification by Curve-Aware Extrapolation

no code implementations ICCV 2021 Kang Liao, Chunyu Lin, Yunchao Wei, Feng Li, Shangrong Yang, Yao Zhao

To our knowledge, we are the first to tackle the challenging rectification via outpainting, and our curve-aware strategy can reach a rectification construction with complete content and regular shape.

Consistent Structural Relation Learning for Zero-Shot Segmentation

no code implementations NeurIPS 2020 Peike Li, Yunchao Wei, Yi Yang

Concretely, by exploring the pair-wise and list-wise structures, we impose the relations of generated visual features to be consistent with their counterparts in the semantic word embedding space.

Semantic Segmentation Word Embeddings +2

Delving Deep into Label Smoothing

2 code implementations25 Nov 2020 Chang-Bin Zhang, Peng-Tao Jiang, Qibin Hou, Yunchao Wei, Qi Han, Zhen Li, Ming-Ming Cheng

Experiments demonstrate that based on the same classification models, the proposed approach can effectively improve the classification performance on CIFAR-100, ImageNet, and fine-grained datasets.

Classification General Classification

Referring Image Segmentation via Cross-Modal Progressive Comprehension

1 code implementation CVPR 2020 Shaofei Huang, Tianrui Hui, Si Liu, Guanbin Li, Yunchao Wei, Jizhong Han, Luoqi Liu, Bo Li

In addition to the CMPC module, we further leverage a simple yet effective TGFE module to integrate the reasoned multimodal features from different levels with the guidance of textual information.

Image Segmentation Referring Expression Segmentation +1

Inter-Image Communication for Weakly Supervised Localization

1 code implementation ECCV 2020 Xiaolin Zhang, Yunchao Wei, Yi Yang

We learn a feature center for each category and realize the global feature consistency by forcing the object features to approach class-specific centers.

Sketch-Guided Scenery Image Outpainting

no code implementations17 Jun 2020 Yaxiong Wang, Yunchao Wei, Xueming Qian, Li Zhu, Yi Yang

In this work, we take the image outpainting one step forward by allowing users to harvest personal custom outpainting results using sketches as the guidance.

Image Outpainting

Omni-supervised Facial Expression Recognition via Distilled Data

no code implementations18 May 2020 Ping Liu, Yunchao Wei, Zibo Meng, Weihong Deng, Joey Tianyi Zhou, Yi Yang

However, the performance of the current state-of-the-art facial expression recognition (FER) approaches is directly related to the labeled data for training.

Facial Expression Recognition Facial Expression Recognition (FER)

Referring Image Segmentation by Generative Adversarial Learning

no code implementations IEEE 2020 Shuang Qiu, Yao Zhao, Jianbo Jiao, Yunchao Wei, Shikui Wei

To this end, we propose to train the referring image segmentation model in a generative adversarial fashion, which well addresses the distribution similarity problem.

Image Segmentation Referring Expression +2

VehicleNet: Learning Robust Visual Representation for Vehicle Re-identification

3 code implementations14 Apr 2020 Zhedong Zheng, Tao Ruan, Yunchao Wei, Yi Yang, Tao Mei

This stage relaxes the full alignment between the training and testing domains, as it is agnostic to the target vehicle domain.

Representation Learning Vehicle Re-Identification

Memory Aggregation Networks for Efficient Interactive Video Object Segmentation

no code implementations CVPR 2020 Jiaxu Miao, Yunchao Wei, Yi Yang

Interactive video object segmentation (iVOS) aims at efficiently harvesting high-quality segmentation masks of the target object in a video with user interactions.

Interactive Video Object Segmentation Semantic Segmentation +1

Laplacian Denoising Autoencoder

no code implementations30 Mar 2020 Jianbo Jiao, Linchao Bao, Yunchao Wei, Shengfeng He, Honghui Shi, Rynson Lau, Thomas S. Huang

This can be naturally generalized to span multiple scales with a Laplacian pyramid representation of the input data.

Denoising Self-Supervised Learning

Differential Treatment for Stuff and Things: A Simple Unsupervised Domain Adaptation Method for Semantic Segmentation

1 code implementation CVPR 2020 Zhonghao Wang, Mo Yu, Yunchao Wei, Rogerio Feris, JinJun Xiong, Wen-mei Hwu, Thomas S. Huang, Humphrey Shi

We consider the problem of unsupervised domain adaptation for semantic segmentation by easing the domain shift between the source domain (synthetic data) and the target domain (real data) in this work.

Semantic Segmentation Unsupervised Domain Adaptation

University-1652: A Multi-view Multi-source Benchmark for Drone-based Geo-localization

3 code implementations27 Feb 2020 Zhedong Zheng, Yunchao Wei, Yi Yang

To our knowledge, University-1652 is the first drone-based geo-localization dataset and enables two new tasks, i. e., drone-view target localization and drone navigation.

Drone navigation Drone-view target localization +2

AlignSeg: Feature-Aligned Segmentation Networks

1 code implementation24 Feb 2020 Zilong Huang, Yunchao Wei, Xinggang Wang, Wenyu Liu, Thomas S. Huang, Humphrey Shi

Aggregating features in terms of different convolutional blocks or contextual embeddings has been proven to be an effective way to strengthen feature representations for semantic segmentation.

Semantic Segmentation

Reliability Does Matter: An End-to-End Weakly Supervised Semantic Segmentation Approach

1 code implementation19 Nov 2019 Bingfeng Zhang, Jimin Xiao, Yunchao Wei, Ming-Jie Sun, Kai-Zhu Huang

Such reliable regions are then directly served as ground-truth labels for the parallel segmentation branch, where a newly designed dense energy loss function is adopted for optimization.

Image Classification Weakly supervised Semantic Segmentation +1

Self-Correction for Human Parsing

2 code implementations22 Oct 2019 Peike Li, Yunqiu Xu, Yunchao Wei, Yi Yang

To tackle the problem of learning with label noises, this work introduces a purification strategy, called Self-Correction for Human Parsing (SCHP), to progressively promote the reliability of the supervised labels as well as the learned models.

Human Parsing Human Part Segmentation +1

SPGNet: Semantic Prediction Guidance for Scene Parsing

no code implementations ICCV 2019 Bowen Cheng, Liang-Chieh Chen, Yunchao Wei, Yukun Zhu, Zilong Huang, JinJun Xiong, Thomas Huang, Wen-mei Hwu, Honghui Shi

The multi-scale context module refers to the operations to aggregate feature responses from a large spatial extent, while the single-stage encoder-decoder structure encodes the high-level semantic information in the encoder path and recovers the boundary information in the decoder path.

Pose Estimation Scene Parsing +1

CCNet: Criss-Cross Attention for Semantic Segmentation

4 code implementations ICCV 2019 Zilong Huang, Xinggang Wang, Yunchao Wei, Lichao Huang, Humphrey Shi, Wenyu Liu, Thomas S. Huang

Compared with the non-local block, the proposed recurrent criss-cross attention module requires 11x less GPU memory usage.

Ranked #7 on Semantic Segmentation on FoodSeg103 (using extra training data)

Human Parsing Instance Segmentation +6

Self-similarity Grouping: A Simple Unsupervised Cross Domain Adaptation Approach for Person Re-identification

1 code implementation ICCV 2019 Yang Fu, Yunchao Wei, Guanshuo Wang, Yuqian Zhou, Honghui Shi, Thomas Huang

Upon our SSG, we further introduce a clustering-guided semisupervised approach named SSG ++ to conduct the one-shot domain adaption in an open set setting (i. e. the number of independent identities from the target domain is unknown).

Clustering One-Shot Learning +2

A Simple Non-i.i.d. Sampling Approach for Efficient Training and Better Generalization

no code implementations23 Nov 2018 Bowen Cheng, Yunchao Wei, Jiahui Yu, Shiyu Chang, JinJun Xiong, Wen-mei Hwu, Thomas S. Huang, Humphrey Shi

While training on samples drawn from independent and identical distribution has been a de facto paradigm for optimizing image classification networks, humans learn new concepts in an easy-to-hard manner and on the selected examples progressively.

General Classification Image Classification +6

STA: Spatial-Temporal Attention for Large-Scale Video-based Person Re-Identification

no code implementations9 Nov 2018 Yang Fu, Xiaoyang Wang, Yunchao Wei, Thomas Huang

Thus, a more robust clip-level feature representation can be generated according to a weighted sum operation guided by the mined 2-D attention score matrix.

Large-Scale Person Re-Identification Video-Based Person Re-Identification

Self-Erasing Network for Integral Object Attention

no code implementations NeurIPS 2018 Qibin Hou, Peng-Tao Jiang, Yunchao Wei, Ming-Ming Cheng

To test the quality of the generated attention maps, we employ the mined object regions as heuristic cues for learning semantic segmentation models.

Semantic Segmentation

SG-One: Similarity Guidance Network for One-Shot Semantic Segmentation

1 code implementation22 Oct 2018 Xiaolin Zhang, Yunchao Wei, Yi Yang, Thomas Huang

In this way, the possibilities embedded in the produced similarity maps can be adapted to guide the process of segmenting objects.

Few-Shot Semantic Segmentation Semantic Segmentation

TS2C: Tight Box Mining with Surrounding Segmentation Context for Weakly Supervised Object Detection

no code implementations ECCV 2018 Yunchao Wei, Zhiqiang Shen, Bowen Cheng, Honghui Shi, JinJun Xiong, Jiashi Feng, Thomas Huang

This work provides a simple approach to discover tight object bounding boxes with only image-level supervision, called Tight box mining with Surrounding Segmentation Context (TS2C).

Multiple Instance Learning object-detection +2

Adversarial Complementary Learning for Weakly Supervised Object Localization

2 code implementations CVPR 2018 Xiaolin Zhang, Yunchao Wei, Jiashi Feng, Yi Yang, Thomas Huang

With such an adversarial learning, the two parallel-classifiers are forced to leverage complementary object regions for classification and can finally generate integral object localization together.

General Classification Weakly-Supervised Object Localization

Horizontal Pyramid Matching for Person Re-identification

1 code implementation14 Apr 2018 Yang Fu, Yunchao Wei, Yuqian Zhou, Honghui Shi, Gao Huang, Xinchao Wang, Zhiqiang Yao, Thomas Huang

Despite the remarkable recent progress, person re-identification (Re-ID) approaches are still suffering from the failure cases where the discriminative body parts are missing.

Person Re-Identification

Left-Right Comparative Recurrent Model for Stereo Matching

no code implementations CVPR 2018 Zequn Jie, Pengfei Wang, Yonggen Ling, Bo Zhao, Yunchao Wei, Jiashi Feng, Wei Liu

Left-right consistency check is an effective way to enhance the disparity estimation by referring to the information from the opposite view.

Disparity Estimation Stereo Disparity Estimation +2

Revisiting RCNN: On Awakening the Classification Power of Faster RCNN

4 code implementations ECCV 2018 Bowen Cheng, Yunchao Wei, Honghui Shi, Rogerio Feris, JinJun Xiong, Thomas Huang

Recent region-based object detectors are usually built with separate classification and localization branches on top of shared feature extraction networks.

Classification General Classification +1

Transferable Semi-supervised Semantic Segmentation

no code implementations18 Nov 2017 Huaxin Xiao, Yunchao Wei, Yu Liu, Maojun Zhang, Jiashi Feng

The performance of deep learning based semantic segmentation models heavily depends on sufficient data with careful annotations.

Semi-Supervised Semantic Segmentation

Learning to Segment Human by Watching YouTube

no code implementations4 Oct 2017 Xiaodan Liang, Yunchao Wei, Liang Lin, Yunpeng Chen, Xiaohui Shen, Jianchao Yang, Shuicheng Yan

An intuition on human segmentation is that when a human is moving in a video, the video-context (e. g., appearance and motion clues) may potentially infer reasonable mask information for the whole human body.

Human Detection Semantic Segmentation +4

Regional Interactive Image Segmentation Networks

no code implementations ICCV 2017 Jun Hao Liew, Yunchao Wei, Wei Xiong, Sim-Heng Ong, Jiashi Feng

The interactive image segmentation model allows users to iteratively add new inputs for refinement until a satisfactory result is finally obtained.

Ranked #9 on Interactive Segmentation on SBD (NoC@85 metric)

Image Segmentation Interactive Segmentation +1

Self-explanatory Deep Salient Object Detection

no code implementations18 Aug 2017 Huaxin Xiao, Jiashi Feng, Yunchao Wei, Maojun Zhang

Through visualizing the differences, we can interpret the capability of different deep neural networks based saliency detection models and demonstrate that our proposed model indeed uses more reasonable structure for salient object detection.

object-detection RGB Salient Object Detection +2

Perceptual Generative Adversarial Networks for Small Object Detection

no code implementations CVPR 2017 Jianan Li, Xiaodan Liang, Yunchao Wei, Tingfa Xu, Jiashi Feng, Shuicheng Yan

In this work, we address the small object detection problem by developing a single architecture that internally lifts representations of small objects to "super-resolved" ones, achieving similar characteristics as large objects and thus more discriminative for detection.

object-detection Small Object Detection

Multiple-Human Parsing in the Wild

2 code implementations19 May 2017 Jianshu Li, Jian Zhao, Yunchao Wei, Congyan Lang, Yidong Li, Terence Sim, Shuicheng Yan, Jiashi Feng

To address the multi-human parsing problem, we introduce a new multi-human parsing (MHP) dataset and a novel multi-human parsing model named MH-Parser.

Multi-Human Parsing

IAN: The Individual Aggregation Network for Person Search

no code implementations16 May 2017 Jimin Xiao, Yanchun Xie, Tammam Tillo, Kai-Zhu Huang, Yunchao Wei, Jiashi Feng

In addition, to relieve the negative effect caused by varying visual appearances of the same individual, IAN introduces a novel center loss that can increase the intra-class compactness of feature representations.

object-detection Object Detection +1

Deep Self-Taught Learning for Weakly Supervised Object Localization

no code implementations CVPR 2017 Zequn Jie, Yunchao Wei, Xiaojie Jin, Jiashi Feng, Wei Liu

To overcome this issue, we propose a deep self-taught learning approach, which makes the detector learn the object-level features reliable for acquiring tight positive samples and afterwards re-train itself based on them.

Weakly Supervised Object Detection Weakly-Supervised Object Localization

Object Region Mining with Adversarial Erasing: A Simple Classification to Semantic Segmentation Approach

no code implementations CVPR 2017 Yunchao Wei, Jiashi Feng, Xiaodan Liang, Ming-Ming Cheng, Yao Zhao, Shuicheng Yan

We investigate a principle way to progressively mine discriminative object regions using classification networks to address the weakly-supervised semantic segmentation problems.

Classification General Classification +2

Attentive Contexts for Object Detection

no code implementations24 Mar 2016 Jianan Li, Yunchao Wei, Xiaodan Liang, Jian Dong, Tingfa Xu, Jiashi Feng, Shuicheng Yan

We provide preliminary answers to these questions through developing a novel Attention to Context Convolution Neural Network (AC-CNN) based object detection model.

object-detection Object Detection

Instance-Aware Hashing for Multi-Label Image Retrieval

no code implementations10 Mar 2016 Hanjiang Lai, Pan Yan, Xiangbo Shu, Yunchao Wei, Shuicheng Yan

The instance-aware representations not only bring advantages to semantic hashing, but also can be used in category-aware hashing, in which an image is represented by multiple pieces of hash codes and each piece of code corresponds to a category.

Multi-Label Image Retrieval Retrieval

Deep Learning with S-shaped Rectified Linear Activation Units

1 code implementation22 Dec 2015 Xiaojie Jin, Chunyan Xu, Jiashi Feng, Yunchao Wei, Junjun Xiong, Shuicheng Yan

Rectified linear activation units are important components for state-of-the-art deep convolutional networks.

Reversible Recursive Instance-level Object Segmentation

no code implementations CVPR 2016 Xiaodan Liang, Yunchao Wei, Xiaohui Shen, Zequn Jie, Jiashi Feng, Liang Lin, Shuicheng Yan

By being reversible, the proposal refinement sub-network adaptively determines an optimal number of refinement iterations required for each proposal during both training and testing.

Denoising Semantic Segmentation

STC: A Simple to Complex Framework for Weakly-supervised Semantic Segmentation

1 code implementation10 Sep 2015 Yunchao Wei, Xiaodan Liang, Yunpeng Chen, Xiaohui Shen, Ming-Ming Cheng, Jiashi Feng, Yao Zhao, Shuicheng Yan

Then, a better network called Enhanced-DCNN is learned with supervision from the predicted segmentation masks of simple images based on the Initial-DCNN as well as the image-level annotations.

object-detection RGB Salient Object Detection +3

Modality-dependent Cross-media Retrieval

no code implementations22 Jun 2015 Yunchao Wei, Yao Zhao, Zhenfeng Zhu, Shikui Wei, Yanhui Xiao, Jiashi Feng, Shuicheng Yan

Specifically, by jointly optimizing the correlation between images and text and the linear regression from one modal space (image or text) to the semantic space, two couples of mappings are learned to project images and text from their original feature spaces into two common latent subspaces (one for I2T and the other for T2I).


CNN: Single-label to Multi-label

no code implementations22 Jun 2014 Yunchao Wei, Wei Xia, Junshi Huang, Bingbing Ni, Jian Dong, Yao Zhao, Shuicheng Yan

Convolutional Neural Network (CNN) has demonstrated promising performance in single-label image classification tasks.

Image Classification

Proximal Iteratively Reweighted Algorithm with Multiple Splitting for Nonconvex Sparsity Optimization

no code implementations28 Apr 2014 Canyi Lu, Yunchao Wei, Zhouchen Lin, Shuicheng Yan

This paper proposes the Proximal Iteratively REweighted (PIRE) algorithm for solving a general problem, which involves a large body of nonconvex sparse and structured sparse related problems.

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