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06/07/2023
RefineVIS: Video Instance Segmentation with Temporal Attention Refinement
We introduce a novel framework called RefineVIS for Video Instance Segme...
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06/14/2022
Consistent Video Instance Segmentation with Inter-Frame Recurrent Attention
Video instance segmentation aims at predicting object segmentation masks...
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03/23/2022
Deep Frequency Filtering for Domain Generalization
Improving the generalization capability of Deep Neural Networks (DNNs) i...
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12/13/2021
Lifelong Unsupervised Domain Adaptive Person Re-identification with Coordinated Anti-forgetting and Adaptation
Unsupervised domain adaptive person re-identification (ReID) has been ex...
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11/30/2021
MMPTRACK: Large-scale Densely Annotated Multi-camera Multiple People Tracking Benchmark
Multi-camera tracking systems are gaining popularity in applications tha...
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04/01/2021
TransMOT: Spatial-Temporal Graph Transformer for Multiple Object Tracking
Tracking multiple objects in videos relies on modeling the spatial-tempo...
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11/24/2020
GMOT-40: A Benchmark for Generic Multiple Object Tracking
Multiple Object Tracking (MOT) has witnessed remarkable advances in rece...
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09/08/2020
LaSOT: A High-quality Large-scale Single Object Tracking Benchmark
Despite great recent advances in visual tracking, its further developmen...
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08/09/2020
Feature Space Augmentation for Long-Tailed Data
Real-world data often follow a long-tailed distribution as the frequency...
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06/10/2020
Map3D: Registration Based Multi-Object Tracking on 3D Serial Whole Slide Images
There has been a long pursuit for precise and reproducible glomerular qu...
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05/27/2020
Graph Neural Network for Hamiltonian-Based Material Property Prediction
Development of next-generation electronic devices for applications call ...
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11/18/2019
TracKlinic: Diagnosis of Challenge Factors in Visual Tracking
Generic visual tracking is difficult due to many challenge factors (e.g....
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04/16/2019
Clustered Object Detection in Aerial Images
Detecting objects in aerial images is challenging for at least two reaso...
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04/10/2019
FAMNet: Joint Learning of Feature, Affinity and Multi-dimensional Assignment for Online Multiple Object Tracking
Data association-based multiple object tracking (MOT) involves multiple ...
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02/21/2019
Online Multi-Object Tracking with Instance-Aware Tracker and Dynamic Model Refreshment
Recent progresses in model-free single object tracking (SOT) algorithms ...
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11/09/2018
Scene Parsing via Dense Recurrent Neural Networks with Attentional Selection
Recurrent neural networks (RNNs) have shown the ability to improve scene...
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09/20/2018
