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08/31/2023
Coarse-to-Fine Amodal Segmentation with Shape Prior
Amodal object segmentation is a challenging task that involves segmentin...
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08/21/2023
Rethinking Person Re-identification from a Projection-on-Prototypes Perspective
Person Re-IDentification (Re-ID) as a retrieval task, has achieved treme...
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08/21/2023
Exploring Fine-Grained Representation and Recomposition for Cloth-Changing Person Re-Identification
Cloth-changing person Re-IDentification (Re-ID) is a particularly challe...
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03/26/2023
Semantic Neural Decoding via Cross-Modal Generation
Semantic neural decoding aims to elucidate the cognitive processes of th...
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03/26/2023
Learning Versatile 3D Shape Generation with Improved AR Models
Auto-Regressive (AR) models have achieved impressive results in 2D image...
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04/03/2022
DST: Dynamic Substitute Training for Data-free Black-box Attack
With the wide applications of deep neural network models in various comp...
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03/31/2022
ImpDet: Exploring Implicit Fields for 3D Object Detection
Conventional 3D object detection approaches concentrate on bounding boxe...
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03/22/2022
QS-Craft: Learning to Quantize, Scrabble and Craft for Conditional Human Motion Animation
This paper studies the task of conditional Human Motion Animation (cHMA)...
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10/07/2020
M3Lung-Sys: A Deep Learning System for Multi-Class Lung Pneumonia Screening from CT Imaging
To counter the outbreak of COVID-19, the accurate diagnosis of suspected...
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05/26/2020
Long-Term Cloth-Changing Person Re-identification
Person re-identification (Re-ID) aims to match a target person across ca...
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03/09/2020
When Person Re-identification Meets Changing Clothes
Person re-identification (Reid) is now an active research topic for AI-b...
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06/14/2018
SCSP: Spectral Clustering Filter Pruning with Soft Self-adaption Manners
Deep Convolutional Neural Networks (CNN) has achieved significant succes...
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12/06/2017
Pose-Normalized Image Generation for Person Re-identification
Person Re-identification (re-id) faces two major challenges: the lack of...
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09/15/2017
