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05/13/2023
Multi-task Paired Masking with Alignment Modeling for Medical Vision-Language Pre-training
In recent years, the growing demand for medical imaging diagnosis has pl...
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05/04/2023
ANetQA: A Large-scale Benchmark for Fine-grained Compositional Reasoning over Untrimmed Videos
Building benchmarks to systemically analyze different capabilities of vi...
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02/27/2023
GLOW: Global Layout Aware Attacks for Object Detection
Adversarial attacks aims to perturb images such that a predictor outputs...
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01/26/2023
Cross-domain recommendation via user interest alignment
Cross-domain recommendation aims to leverage knowledge from multiple dom...
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04/08/2022
Self-Supervised Graph Neural Network for Multi-Source Domain Adaptation
Domain adaptation (DA) tries to tackle the scenarios when the test data ...
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03/24/2022
Towards Efficient and Elastic Visual Question Answering with Doubly Slimmable Transformer
Transformer-based approaches have shown great success in visual question...
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03/08/2022
Graph Attention Transformer Network for Multi-Label Image Classification
Multi-label classification aims to recognize multiple objects or attribu...
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06/21/2021
Confidence-Guided Radiology Report Generation
Medical imaging plays a pivotal role in diagnosis and treatment in clini...
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08/15/2020
Cluster-level Feature Alignment for Person Re-identification
Instance-level alignment is widely exploited for person re-identificatio...
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05/03/2020
Boundary-aware Context Neural Network for Medical Image Segmentation
Medical image segmentation can provide a reliable basis for further clin...
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04/17/2020
Cascaded Context Enhancement for Automated Skin Lesion Segmentation
Skin lesion segmentation is an important step for automated melanoma dia...
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04/06/2020
Adaptive Fractional Dilated Convolution Network for Image Aesthetics Assessment
To leverage deep learning for image aesthetics assessment, one critical ...
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10/27/2019
MOD: A Deep Mixture Model with Online Knowledge Distillation for Large Scale Video Temporal Concept Localization
In this paper, we present and discuss a deep mixture model with online k...
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04/10/2019
Imitating Targets from all sides: An Unsupervised Transfer Learning method for Person Re-identification
Person re-identification (Re-ID) models usually show a limited performan...
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03/17/2019
Learning Competitive and Discriminative Reconstructions for Anomaly Detection
Most of the existing methods for anomaly detection use only positive dat...
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11/12/2018
NeXtVLAD: An Efficient Neural Network to Aggregate Frame-level Features for Large-scale Video Classification
This paper introduces a fast and efficient network architecture, NeXtVLA...
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08/10/2017
Beyond Bilinear: Generalized Multi-modal Factorized High-order Pooling for Visual Question Answering
Visual question answering (VQA) is challenging because it requires a sim...
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08/04/2017
Multi-modal Factorized Bilinear Pooling with Co-Attention Learning for Visual Question Answering
Visual question answering (VQA) is challenging because it requires a sim...
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07/08/2017
Embedding Visual Hierarchy with Deep Networks for Large-Scale Visual Recognition
In this paper, a level-wise mixture model (LMM) is developed by embeddin...
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06/24/2017