Explanipedia

Weakly Supervised Instance Action Recognition Open

Haomin Yan, Ruize Han, Wei Feng, Jiewen Zhao, Song Wang · 2025

From Indoor to Outdoor: Unsupervised Domain Adaptive Gait Recognition Open

Likai Wang, Wei Feng, Ruize Han, Xiang-Qun Zhang, Yanjie Wei , et al. · 2025

OVT-B: A New Large-Scale Benchmark for Open-Vocabulary Multi-Object Tracking Open

Hai‐Wei Liang, Ruize Han · 2024

Open-vocabulary object perception has become an important topic in artificial intelligence, which aims to identify objects with novel classes that have not been seen during training. Under this setting, open-vocabulary object detection (OV…

VOVTrack: Exploring the Potentiality in Videos for Open-Vocabulary Object Tracking Open

Zekun Qian, Ruize Han, Junhui Hou, Linqi Song, Wei Feng · 2024

Open-vocabulary multi-object tracking (OVMOT) represents a critical new challenge involving the detection and tracking of diverse object categories in videos, encompassing both seen categories (base classes) and unseen categories (novel cl…

OCTrack: Benchmarking the Open-Corpus Multi-Object Tracking Open

Zekun Qian, Ruize Han, Wei Feng, Junhui Hou, Linqi Song , et al. · 2024

We study a novel yet practical problem of open-corpus multi-object tracking (OCMOT), which extends the MOT into localizing, associating, and recognizing generic-category objects of both seen (base) and unseen (novel) classes, but without t…

Synthetic-To-Real Video Person Re-ID Open

Xiang-Qun Zhang, Ruize Han, Feng Wei · 2024

Person re-identification (Re-ID) is an important task and has significant applications for public security and information forensics, which has progressed rapidly with the development of deep learning. In this work, we investigate a novel …

Unveiling the Power of Self-supervision for Multi-view Multi-human Association and Tracking Open

Wei Feng, Feifan Wang, Ruize Han, Zekun Qian, Song Wang · 2024

Multi-view multi-human association and tracking (MvMHAT), is a new but important problem for multi-person scene video surveillance, aiming to track a group of people over time in each view, as well as to identify the same person across dif…

Fusing the Appearance and Gait Features for Clothes-Changing Video Person Re-Identification Open

Likai Wang, Xiang-Qun Zhang, Ruize Han, Wei Feng, Song Wang · 2024

From a Bird's Eye View to See: Joint Camera and Subject Registration without the Camera Calibration Open

Zekun Qian, Ruize Han, Wei Feng, Feifan Wang, Song Wang · 2022

We tackle a new problem of multi-view camera and subject registration in the bird's eye view (BEV) without pre-given camera calibration. This is a very challenging problem since its only input is several RGB images from different first-per…

Prediction of Future NBA Games’ Point Difference: A Statistical Modeling Approach Open

Ruize Han, Shunying Shi, Tianrui Hu, Sijian Tao · 2022

Nowadays, the popularity of the NBA along with the penetration of gambling ideas is rising all around the world. More and more fans prefer to bet on sports gambling. People want to predict the final score difference for each individual gam…

A Benchmark of Video-Based Clothes-Changing Person Re-Identification Open

Likai Wang, Xiang-Qun Zhang, Ruize Han, Jialin Yang, Xiaoyu Li , et al. · 2022

Person re-identification (Re-ID) is a classical computer vision task and has achieved great progress so far. Recently, long-term Re-ID with clothes-changing has attracted increasing attention. However, existing methods mainly focus on imag…

From Indoor To Outdoor: Unsupervised Domain Adaptive Gait Recognition Open

Likai Wang, Ruize Han, Wei Feng, Song Wang · 2022

Gait recognition is an important AI task, which has been progressed rapidly with the development of deep learning. However, existing learning based gait recognition methods mainly focus on the single domain, especially the constrained labo…

Access Trends of In-network Cache for Scientific Data Open

Ruize Han, Alex Sim, Kesheng Wu, Inder Monga, Chin Guok , et al. · 2022

Scientific collaborations are increasingly relying on large volumes of data\nfor their work and many of them employ tiered systems to replicate the data to\ntheir worldwide user communities. Each user in the community often selects a\ndiff…

Single Object Tracking Research: A Survey Open

Ruize Han, Wei Feng, Qing Guo, Qinghua Hu · 2022

Visual object tracking is an important task in computer vision, which has many real-world applications, e.g., video surveillance, visual navigation. Visual object tracking also has many challenges, e.g., object occlusion and deformation. T…

Self-supervised Social Relation Representation for Human Group Detection Open

Jiacheng Li, Ruize Han, Haomin Yan, Zekun Qian, Wei Feng , et al. · 2022

Human group detection, which splits crowd of people into groups, is an important step for video-based human social activity analysis. The core of human group detection is the human social relation representation and division.In this paper,…

Panoramic Human Activity Recognition Open

Ruize Han, Haomin Yan, Jiacheng Li, Songmiao Wang, Wei Feng , et al. · 2022

To obtain a more comprehensive activity understanding for a crowded scene, in this paper, we propose a new problem of panoramic human activity recognition (PAR), which aims to simultaneous achieve the individual action, social group activi…

Combining the Silhouette and Skeleton Data for Gait Recognition Open

Likai Wang, Ruize Han, Jinyan Chen, Wei Feng · 2022

Gait recognition, a long-distance biometric technology, has aroused intense interest recently. Currently, the two dominant gait recognition works are appearance-based and model-based, which extract features from silhouettes and skeletons, …

Self-relabeling for noise-tolerant retina vessel segmentation through label reliability estimation Open

Jiacheng Li, Ruirui Li, Ruize Han, Song Wang · 2022

Additional file 1 of Self-relabeling for noise-tolerant retina vessel segmentation through label reliability estimation Open

Jiacheng Li, Ruirui Li, Ruize Han, Song Wang · 2022

Additional file 1. Generated noisy label maps.

Complementary-View Multiple Human Tracking Open

Ruize Han, Wei Feng, Jiewen Zhao, Zicheng Niu, Yujun Zhang , et al. · 2020

The global trajectories of targets on ground can be well captured from a top view in a high altitude, e.g., by a drone-mounted camera, while their local detailed appearances can be better recorded from horizontal views, e.g., by a helmet c…

Multiple Human Association between Top and Horizontal Views by Matching Subjects' Spatial Distributions Open

Ruize Han, Yujun Zhang, Wei Feng, Chenxing Gong, Xiaoyu Zhang , et al. · 2019

Video surveillance can be significantly enhanced by using both top-view data, e.g., those from drone-mounted cameras in the air, and horizontal-view data, e.g., those from wearable cameras on the ground. Collaborative analysis of different…

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