Search Results for author: Fei Su

Found 19 papers, 10 papers with code

YYDS: Visible-Infrared Person Re-Identification with Coarse Descriptions

1 code implementation7 Mar 2024 Yunhao Du, Zhicheng Zhao, Fei Su

To this end, we present the Refer-VI-ReID settings, which aims to match target visible images from both infrared images and coarse language descriptions (e. g., "a man with red top and black pants") to complement the missing color information.

Person Re-Identification Re-Ranking

Instance Paradigm Contrastive Learning for Domain Generalization

no code implementations IEEE Transactions on Circuits and Systems for Video Technology 2024 Zining Chen, Weiqiu Wang, Zhicheng Zhao, Fei Su, Member, IEEE, Aidong Men, and Yuan Dong

In this paper, we propose an instance paradigm contrastive learning framework, introducing contrast between original features and novel paradigms to alleviate domain-specific distractions.

Contrastive Learning Domain Generalization

iKUN: Speak to Trackers without Retraining

1 code implementation25 Dec 2023 Yunhao Du, Cheng Lei, Zhicheng Zhao, Fei Su

Referring multi-object tracking (RMOT) aims to track multiple objects based on input textual descriptions.

Multi-Object Tracking

Word4Per: Zero-shot Composed Person Retrieval

1 code implementation25 Nov 2023 Delong Liu, Haiwen Li, Zhicheng Zhao, Fei Su, Yuan Dong

Searching for specific person has great social benefits and security value, and it often involves a combination of visual and textual information.

 Ranked #1 on Zero-shot Composed Person Retrieval on ITCPR dataset (using extra training data)

Person Retrieval Retrieval +3

Now and Future of Artificial Intelligence-based Signet Ring Cell Diagnosis: A Survey

no code implementations16 Nov 2023 Zhu Meng, Junhao Dong, Limei Guo, Fei Su, Guangxi Wang, Zhicheng Zhao

Since signet ring cells (SRCs) are associated with high peripheral metastasis rate and dismal survival, they play an important role in determining surgical approaches and prognosis, while they are easily missed by even experienced pathologists.

Boundary-Refined Prototype Generation: A General End-to-End Paradigm for Semi-Supervised Semantic Segmentation

no code implementations19 Jul 2023 Junhao Dong, Zhu Meng, Delong Liu, Zhicheng Zhao, Fei Su

Prototype-based classification is a classical method in machine learning, and recently it has achieved remarkable success in semi-supervised semantic segmentation.

Semi-Supervised Semantic Segmentation

OMG: Observe Multiple Granularities for Natural Language-Based Vehicle Retrieval

1 code implementation18 Apr 2022 Yunhao Du, Binyu Zhang, Xiangning Ruan, Fei Su, Zhicheng Zhao, Hong Chen

For the textual representation, one global embedding, three local embeddings and a color-type prompt embedding are extracted to represent various granularities of semantic features.

Retrieval

StrongSORT: Make DeepSORT Great Again

14 code implementations28 Feb 2022 Yunhao Du, Zhicheng Zhao, Yang song, Yanyun Zhao, Fei Su, Tao Gong, Hongying Meng

As a result, the construction of a good baseline for a fair comparison is essential.

Ranked #6 on Multi-Object Tracking on MOT17 (using extra training data)

Multi-Object Tracking object-detection +1

Cross-Platform Modeling of Users' Behavior on Social Media

no code implementations23 Jun 2019 Haiqian Gu, Jie Wang, Ziwen Wang, Bojin Zhuang, Wenhao Bian, Fei Su

Structured and unstructured data of same users shared by NetEase Music and Sina Weibo have been collected for cross-platform analysis of correlations between music preference and other users' characteristics.

Scale Aggregation Network for Accurate and Efficient Crowd Counting

1 code implementation ECCV 2018 Xinkun Cao, Zhipeng Wang, Yanyun Zhao, Fei Su

In this paper, we propose a novel encoder-decoder network, called extit{Scale Aggregation Network (SANet)}, for accurate and efficient crowd counting.

Crowd Counting

Precise Box Score: Extract More Information from Datasets to Improve the Performance of Face Detection

no code implementations28 Apr 2018 Ce Qi, Xiaoping Chen, Pingyu Wang, Fei Su

The proposed training strategy uses the anchors with IoUs between the first and second threshold, which can consistently improve the performance of face detection.

Face Detection Model Compression +2

Optimizing Region Selection for Weakly Supervised Object Detection

no code implementations5 Aug 2017 Wenhui Jiang, Thuyen Ngo, B. S. Manjunath, Zhicheng Zhao, Fei Su

This region selection procedure is further integrated into a CNN-based weakly supervised detection (WSD) framework, and can be performed in each stochastic gradient descent mini-batch during training.

Object object-detection +1

Contrastive-center loss for deep neural networks

2 code implementations24 Jul 2017 Ce Qi, Fei Su

The deep convolutional neural network(CNN) has significantly raised the performance of image classification and face recognition.

Classification Face Recognition +2

Recurrent Convolutional Neural Network Regression for Continuous Pain Intensity Estimation in Video

no code implementations3 May 2016 Jing Zhou, Xiaopeng Hong, Fei Su, Guoying Zhao

To overcome this problem, we propose a real-time regression framework based on the recurrent convolutional neural network for automatic frame-level pain intensity estimation.

Pain Intensity Regression regression

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