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09/04/2023
Unified Pre-training with Pseudo Texts for Text-To-Image Person Re-identification
The pre-training task is indispensable for the text-to-image person re-i...
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09/01/2023
DARC: Distribution-Aware Re-Coloring Model for Generalizable Nucleus Segmentation
Nucleus segmentation is usually the first step in pathological image ana...
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08/24/2023
Can Linguistic Knowledge Improve Multimodal Alignment in Vision-Language Pretraining?
The multimedia community has shown a significant interest in perceiving ...
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08/05/2023
Cross-modal Cross-domain Learning for Unsupervised LiDAR Semantic Segmentation
In recent years, cross-modal domain adaptation has been studied on the p...
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05/10/2023
MMoT: Mixture-of-Modality-Tokens Transformer for Composed Multimodal Conditional Image Synthesis
Existing multimodal conditional image synthesis (MCIS) methods generate ...
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03/15/2023
Mining False Positive Examples for Text-Based Person Re-identification
Text-based person re-identification (ReID) aims to identify images of th...
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02/28/2023
HelixSurf: A Robust and Efficient Neural Implicit Surface Learning of Indoor Scenes with Iterative Intertwined Regularization
Recovery of an underlying scene geometry from multiview images stands as...
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07/16/2022
Learning Granularity-Unified Representations for Text-to-Image Person Re-identification
Text-to-image person re-identification (ReID) aims to search for pedestr...
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07/12/2022
Category-Level 6D Object Pose and Size Estimation using Self-Supervised Deep Prior Deformation Networks
It is difficult to precisely annotate object instances and their semanti...
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07/12/2022
Towards Hard-Positive Query Mining for DETR-based Human-Object Interaction Detection
Human-Object Interaction (HOI) detection is a core task for high-level i...
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07/10/2022
1st Place Solution to the EPIC-Kitchens Action Anticipation Challenge 2022
In this report, we describe the technical details of our submission to t...
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07/07/2022
Style Interleaved Learning for Generalizable Person Re-identification
Domain generalization (DG) for person re-identification (ReID) is a chal...
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07/06/2022
Context Sensing Attention Network for Video-based Person Re-identification
Video-based person re-identification (ReID) is challenging due to the pr...
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05/03/2022
HL-Net: Heterophily Learning Network for Scene Graph Generation
Scene graph generation (SGG) aims to detect objects and predict their pa...
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01/11/2022
MobileFaceSwap: A Lightweight Framework for Video Face Swapping
Advanced face swapping methods have achieved appealing results. However,...
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01/01/2022
Quality-aware Part Models for Occluded Person Re-identification
Occlusion poses a major challenge for person re-identification (ReID). E...
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08/22/2021
Uncertainty-aware Clustering for Unsupervised Domain Adaptive Object Re-identification
Unsupervised Domain Adaptive (UDA) object re-identification (Re-ID) aims...
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07/27/2021
Semantically Self-Aligned Network for Text-to-Image Part-aware Person Re-identification
Text-to-image person re-identification (ReID) aims to search for images ...
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06/27/2021
Attention-guided Progressive Mapping for Profile Face Recognition
The past few years have witnessed great progress in the domain of face r...
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04/12/2021
Glance and Gaze: Inferring Action-aware Points for One-Stage Human-Object Interaction Detection
Modern human-object interaction (HOI) detection approaches can be divide...
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04/10/2021
On Universal Black-Box Domain Adaptation
In this paper, we study an arguably least restrictive setting of domain ...
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02/13/2021
CPP-Net: Context-aware Polygon Proposal Network for Nucleus Segmentation
Nucleus segmentation is a challenging task due to the crowded distributi...
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09/21/2020
Batch Coherence-Driven Network for Part-aware Person Re-Identification
Existing part-aware person re-identification methods typically employ tw...
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08/07/2020
Polysemy Deciphering Network for Robust Human-Object Interaction Detection
Human-Object Interaction (HOI) detection is important to human-centric s...
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06/04/2020
Boundary-assisted Region Proposal Networks for Nucleus Segmentation
Nucleus segmentation is an important task in medical image analysis. How...
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03/31/2020
Learning Oracle Attention for High-fidelity Face Completion
High-fidelity face completion is a challenging task due to the rich and ...
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03/29/2020
GPS-Net: Graph Property Sensing Network for Scene Graph Generation
Scene graph generation (SGG) aims to detect objects in an image along wi...
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03/18/2020
Multi-task Learning with Coarse Priors for Robust Part-aware Person Re-identification
Part-level representations are important for robust person re-identifica...
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06/12/2019
CDPM: Convolutional Deformable Part Models for Person Re-identification
Part-level representations are essential for robust person re-identifica...
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06/09/2019
Soft-ranking Label Encoding for Robust Facial Age Estimation
Automatic facial age estimation can be used in a wide range of real-worl...
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06/05/2019
One-pass Multi-task Networks with Cross-task Guided Attention for Brain Tumor Segmentation
Class imbalance has been one of the major challenges for medical image s...
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11/05/2018
Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge
Gliomas are the most common primary brain malignancies, with different d...
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09/01/2015
Robust Face Recognition via Multimodal Deep Face Representation
Face images appeared in multimedia applications, e.g., social networks a...
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02/15/2015
A Comprehensive Survey on Pose-Invariant Face Recognition
The capacity to recognize faces under varied poses is a fundamental huma...
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01/21/2014