Search Results for author: Peng Chu

Found 17 papers, 5 papers with code

RefineVIS: Video Instance Segmentation with Temporal Attention Refinement

no code implementations7 Jun 2023 Andre Abrantes, Jiang Wang, Peng Chu, Quanzeng You, Zicheng Liu

We introduce a novel framework called RefineVIS for Video Instance Segmentation (VIS) that achieves good object association between frames and accurate segmentation masks by iteratively refining the representations using sequence context.

 Ranked #1 on Video Instance Segmentation on YouTube-VIS 2021 (using extra training data)

Contrastive Learning Denoising +3

Consistent Video Instance Segmentation with Inter-Frame Recurrent Attention

no code implementations14 Jun 2022 Quanzeng You, Jiang Wang, Peng Chu, Andre Abrantes, Zicheng Liu

We propose a consistent end-to-end video instance segmentation framework with Inter-Frame Recurrent Attention to model both the temporal instance consistency for adjacent frames and the global temporal context.

Instance Segmentation Segmentation +2

Deep Frequency Filtering for Domain Generalization

no code implementations CVPR 2023 Shiqi Lin, Zhizheng Zhang, Zhipeng Huang, Yan Lu, Cuiling Lan, Peng Chu, Quanzeng You, Jiang Wang, Zicheng Liu, Amey Parulkar, Viraj Navkal, Zhibo Chen

Improving the generalization ability of Deep Neural Networks (DNNs) is critical for their practical uses, which has been a longstanding challenge.

Domain Generalization Retrieval

TransMOT: Spatial-Temporal Graph Transformer for Multiple Object Tracking

no code implementations1 Apr 2021 Peng Chu, Jiang Wang, Quanzeng You, Haibin Ling, Zicheng Liu

TransMOT effectively models the interactions of a large number of objects by arranging the trajectories of the tracked objects as a set of sparse weighted graphs, and constructing a spatial graph transformer encoder layer, a temporal transformer encoder layer, and a spatial graph transformer decoder layer based on the graphs.

Ranked #2 on Multi-Object Tracking on 2DMOT15 (using extra training data)

Multi-Object Tracking Multiple Object Tracking +1

LaSOT: A High-quality Large-scale Single Object Tracking Benchmark

1 code implementation8 Sep 2020 Heng Fan, Hexin Bai, Liting Lin, Fan Yang, Peng Chu, Ge Deng, Sijia Yu, Harshit, Mingzhen Huang, Juehuan Liu, Yong Xu, Chunyuan Liao, Lin Yuan, Haibin Ling

The average video length of LaSOT is around 2, 500 frames, where each video contains various challenge factors that exist in real world video footage, such as the targets disappearing and re-appearing.

Object Tracking Visual Tracking +1

Map3D: Registration Based Multi-Object Tracking on 3D Serial Whole Slide Images

1 code implementation10 Jun 2020 Ruining Deng, Haichun Yang, Aadarsh Jha, Yuzhe Lu, Peng Chu, Agnes B. Fogo, Yuankai Huo

However, the 3D identification and association of large-scale glomeruli on renal pathology is challenging due to large tissue deformation, missing tissues, and artifacts from WSI.

Multi-Object Tracking whole slide images

Graph Neural Network for Hamiltonian-Based Material Property Prediction

no code implementations27 May 2020 Hexin Bai, Peng Chu, Jeng-Yuan Tsai, Nathan Wilson, Xiaofeng Qian, Qimin Yan, Haibin Ling

Development of next-generation electronic devices for applications call for the discovery of quantum materials hosting novel electronic, magnetic, and topological properties.

Band Gap Property Prediction

TracKlinic: Diagnosis of Challenge Factors in Visual Tracking

no code implementations18 Nov 2019 Heng Fan, Fan Yang, Peng Chu, Lin Yuan, Haibin Ling

For the analysis component, given the tracking results on all sequences, it investigates the behavior of the tracker under each individual factor and generates the report automatically.

Visual Tracking

Clustered Object Detection in Aerial Images

1 code implementation ICCV 2019 Fan Yang, Heng Fan, Peng Chu, Erik Blasch, Haibin Ling

The key components in ClusDet include a cluster proposal sub-network (CPNet), a scale estimation sub-network (ScaleNet), and a dedicated detection network (DetecNet).

Clustering object-detection +1

FAMNet: Joint Learning of Feature, Affinity and Multi-dimensional Assignment for Online Multiple Object Tracking

no code implementations ICCV 2019 Peng Chu, Haibin Ling

Data association-based multiple object tracking (MOT) involves multiple separated modules processed or optimized differently, which results in complex method design and requires non-trivial tuning of parameters.

Management Multiple Object Tracking

Online Multi-Object Tracking with Instance-Aware Tracker and Dynamic Model Refreshment

no code implementations21 Feb 2019 Peng Chu, Heng Fan, Chiu C. Tan, Haibin Ling

To address this issue, in this paper we propose an instance-aware tracker to integrate SOT techniques for MOT by encoding awareness both within and between target models.

Multi-Object Tracking Online Multi-Object Tracking

Scene Parsing via Dense Recurrent Neural Networks with Attentional Selection

no code implementations9 Nov 2018 Heng Fan, Peng Chu, Longin Jan Latecki, Haibin Ling

Recurrent neural networks (RNNs) have shown the ability to improve scene parsing through capturing long-range dependencies among image units.

Scene Labeling

Cannot find the paper you are looking for? You can Submit a new open access paper.