Search Results for author: Dawei Du

Found 27 papers, 13 papers with code

Open Set Action Recognition via Multi-Label Evidential Learning

no code implementations CVPR 2023 Chen Zhao, Dawei Du, Anthony Hoogs, Christopher Funk

Existing methods for open-set action recognition focus on novelty detection that assumes video clips show a single action, which is unrealistic in the real world.

Action Detection Open Set Action Recognition

Human Activity Recognition in an Open World

no code implementations23 Dec 2022 Derek S. Prijatelj, Samuel Grieggs, Jin Huang, Dawei Du, Ameya Shringi, Christopher Funk, Adam Kaufman, Eric Robertson, Walter J. Scheirer

Managing novelty in perception-based human activity recognition (HAR) is critical in realistic settings to improve task performance over time and ensure solution generalization outside of prior seen samples.

Human Activity Recognition

Reconstructing Humpty Dumpty: Multi-feature Graph Autoencoder for Open Set Action Recognition

no code implementations12 Dec 2022 Dawei Du, Ameya Shringi, Anthony Hoogs, Christopher Funk

Our approach uses the reconstruction error to determine the novelty of the video since unknown classes are harder to put back together and thus have a higher reconstruction error than videos from known classes.

Open Set Action Recognition

Unbiased Multi-Modality Guidance for Image Inpainting

1 code implementation25 Aug 2022 Yongsheng Yu, Dawei Du, Libo Zhang, Tiejian Luo

Image inpainting is an ill-posed problem to recover missing or damaged image content based on incomplete images with masks.

Image Inpainting Semantic Segmentation

Multi-Granularity Alignment Domain Adaptation for Object Detection

1 code implementation CVPR 2022 Wenzhang Zhou, Dawei Du, Libo Zhang, Tiejian Luo, Yanjun Wu

Domain adaptive object detection is challenging due to distinctive data distribution between source domain and target domain.

Domain Adaptation object-detection +1

Detection, Tracking, and Counting Meets Drones in Crowds: A Benchmark

1 code implementation CVPR 2021 Longyin Wen, Dawei Du, Pengfei Zhu, QinGhua Hu, Qilong Wang, Liefeng Bo, Siwei Lyu

To promote the developments of object detection, tracking and counting algorithms in drone-captured videos, we construct a benchmark with a new drone-captured largescale dataset, named as DroneCrowd, formed by 112 video clips with 33, 600 HD frames in various scenarios.

object-detection Object Detection

Rethinking Object Detection in Retail Stores

1 code implementation18 Mar 2020 Yuan-Qiang Cai, Longyin Wen, Libo Zhang, Dawei Du, Weiqiang Wang

In this paper, we propose a new task, ie, simultaneously object localization and counting, abbreviated as Locount, which requires algorithms to localize groups of objects of interest with the number of instances.

object-detection Object Detection +1

Multi-Drone based Single Object Tracking with Agent Sharing Network

1 code implementation16 Mar 2020 Pengfei Zhu, Jiayu Zheng, Dawei Du, Longyin Wen, Yiming Sun, QinGhua Hu

Moreover, an agent sharing network (ASNet) is proposed by self-supervised template sharing and view-aware fusion of the target from multiple drones, which can improve the tracking accuracy significantly compared with single drone tracking.

Object Tracking

Detection and Tracking Meet Drones Challenge

2 code implementations16 Jan 2020 Pengfei Zhu, Longyin Wen, Dawei Du, Xiao Bian, Heng Fan, QinGhua Hu, Haibin Ling

We provide a large-scale drone captured dataset, VisDrone, which includes four tracks, i. e., (1) image object detection, (2) video object detection, (3) single object tracking, and (4) multi-object tracking.

Multi-Object Tracking object-detection +1

Learning Semantic Neural Tree for Human Parsing

no code implementations ECCV 2020 Ruyi Ji, Dawei Du, Libo Zhang, Longyin Wen, Yanjun Wu, Chen Zhao, Feiyue Huang, Siwei Lyu

In this paper, we design a novel semantic neural tree for human parsing, which uses a tree architecture to encode physiological structure of human body, and designs a coarse to fine process in a cascade manner to generate accurate results.

Human Parsing Semantic Segmentation

SiamMan: Siamese Motion-aware Network for Visual Tracking

no code implementations11 Dec 2019 Wenzhang Zhou, Longyin Wen, Libo Zhang, Dawei Du, Tiejian Luo, Yanjun Wu

To reduce the impact of manually designed anchor boxes to adapt to different target motion patterns, we design the localization branch, which aims to coarsely localize the target to help the regression branch to generate accurate results.

General Classification regression +1

Drone-based Joint Density Map Estimation, Localization and Tracking with Space-Time Multi-Scale Attention Network

1 code implementation4 Dec 2019 Longyin Wen, Dawei Du, Pengfei Zhu, QinGhua Hu, Qilong Wang, Liefeng Bo, Siwei Lyu

This paper proposes a space-time multi-scale attention network (STANet) to solve density map estimation, localization and tracking in dense crowds of video clips captured by drones with arbitrary crowd density, perspective, and flight altitude.

Crowd Counting

Attention Convolutional Binary Neural Tree for Fine-Grained Visual Categorization

2 code implementations CVPR 2020 Ruyi Ji, Longyin Wen, Libo Zhang, Dawei Du, Yanjun Wu, Chen Zhao, Xianglong Liu, Feiyue Huang

Specifically, we incorporate convolutional operations along edges of the tree structure, and use the routing functions in each node to determine the root-to-leaf computational paths within the tree.

Fine-Grained Image Classification Fine-Grained Visual Categorization

Guided Attention Network for Object Detection and Counting on Drones

no code implementations25 Sep 2019 Yuan-Qiang Cai, Dawei Du, Libo Zhang, Longyin Wen, Weiqiang Wang, Yanjun Wu, Siwei Lyu

Object detection and counting are related but challenging problems, especially for drone based scenes with small objects and cluttered background.

object-detection Object Detection

Scale Invariant Fully Convolutional Network: Detecting Hands Efficiently

no code implementations11 Jun 2019 Dan Liu, Dawei Du, Libo Zhang, Tiejian Luo, Yanjun Wu, Feiyue Huang, Siwei Lyu

Existing hand detection methods usually follow the pipeline of multiple stages with high computation cost, i. e., feature extraction, region proposal, bounding box regression, and additional layers for rotated region detection.

Hand Detection Region Proposal

Learning Non-Uniform Hypergraph for Multi-Object Tracking

no code implementations10 Dec 2018 Longyin Wen, Dawei Du, Shengkun Li, Xiao Bian, Siwei Lyu

The majority of Multi-Object Tracking (MOT) algorithms based on the tracking-by-detection scheme do not use higher order dependencies among objects or tracklets, which makes them less effective in handling complex scenarios.

Multi-Object Tracking

The Unmanned Aerial Vehicle Benchmark: Object Detection and Tracking

no code implementations ECCV 2018 Dawei Du, Yuankai Qi, Hongyang Yu, Yifan Yang, Kaiwen Duan, Guorong Li, Weigang Zhang, Qingming Huang, Qi Tian

Selected from 10 hours raw videos, about 80, 000 representative frames are fully annotated with bounding boxes as well as up to 14 kinds of attributes (e. g., weather condition, flying altitude, camera view, vehicle category, and occlusion) for three fundamental computer vision tasks: object detection, single object tracking, and multiple object tracking.

Multiple Object Tracking object-detection +2

Geometric Hypergraph Learning for Visual Tracking

no code implementations18 Mar 2016 Dawei Du, Honggang Qi, Longyin Wen, Qi Tian, Qingming Huang, Siwei Lyu

Graph based representation is widely used in visual tracking field by finding correct correspondences between target parts in consecutive frames.

Visual Tracking

UA-DETRAC: A New Benchmark and Protocol for Multi-Object Detection and Tracking

no code implementations13 Nov 2015 Longyin Wen, Dawei Du, Zhaowei Cai, Zhen Lei, Ming-Ching Chang, Honggang Qi, Jongwoo Lim, Ming-Hsuan Yang, Siwei Lyu

In this work, we perform a comprehensive quantitative study on the effects of object detection accuracy to the overall MOT performance, using the new large-scale University at Albany DETection and tRACking (UA-DETRAC) benchmark dataset.

Multi-Object Tracking object-detection +1

JOTS: Joint Online Tracking and Segmentation

no code implementations CVPR 2015 Longyin Wen, Dawei Du, Zhen Lei, Stan Z. Li, Ming-Hsuan Yang

We present a novel Joint Online Tracking and Segmentation (JOTS) algorithm which integrates the multi-part tracking and segmentation into a unified energy optimization framework to handle the video segmentation task.

Video Segmentation Video Semantic Segmentation

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