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09/05/2023
A survey on efficient vision transformers: algorithms, techniques, and performance benchmarking
Vision Transformer (ViT) architectures are becoming increasingly popular...
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09/04/2023
Neural Vector Fields: Generalizing Distance Vector Fields by Codebooks and Zero-Curl Regularization
Recent neural networks based surface reconstruction can be roughly divid...
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08/23/2023
Rethinking Data Perturbation and Model Stabilization for Semi-supervised Medical Image Segmentation
Studies on semi-supervised medical image segmentation (SSMIS) have seen ...
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08/20/2023
Contrastive Diffusion Model with Auxiliary Guidance for Coarse-to-Fine PET Reconstruction
To obtain high-quality positron emission tomography (PET) scans while re...
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04/04/2023
Q2ATransformer: Improving Medical VQA via an Answer Querying Decoder
Medical Visual Question Answering (VQA) systems play a supporting role t...
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03/30/2023
Task-Oriented Multi-Modal Mutual Leaning for Vision-Language Models
Prompt learning has become one of the most efficient paradigms for adapt...
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03/08/2023
Neural Vector Fields: Implicit Representation by Explicit Learning
Deep neural networks (DNNs) are widely applied for nowadays 3D surface r...
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03/02/2023
Conflict-Based Cross-View Consistency for Semi-Supervised Semantic Segmentation
Semi-supervised semantic segmentation has recently gained increasing res...
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02/23/2023
Bridging Synthetic and Real Images: a Transferable and Multiple Consistency aided Fundus Image Enhancement Framework
Deep learning based image enhancement models have largely improved the r...
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12/09/2022
Augmentation Matters: A Simple-yet-Effective Approach to Semi-supervised Semantic Segmentation
Recent studies on semi-supervised semantic segmentation (SSS) have seen ...
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11/21/2022
Instance-specific and Model-adaptive Supervision for Semi-supervised Semantic Segmentation
Recently, semi-supervised semantic segmentation has achieved promising p...
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08/04/2022
ZeroMesh: Zero-shot Single-view 3D Mesh Reconstruction
Single-view 3D object reconstruction is a fundamental and challenging co...
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09/30/2020
Improving Auto-Augment via Augmentation-Wise Weight Sharing
The recent progress on automatically searching augmentation policies has...
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08/14/2020
BriNet: Towards Bridging the Intra-class and Inter-class Gaps in One-Shot Segmentation
Few-shot segmentation focuses on the generalization of models to segment...
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01/15/2020
Epileptic Seizure Classification with Symmetric and Hybrid Bilinear Models
Epilepsy affects nearly 1 be treated by anti-epileptic drugs and a much ...
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05/28/2019
Improving Action Localization by Progressive Cross-stream Cooperation
Spatio-temporal action localization consists of three levels of tasks: s...
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04/06/2019
A Novel Unsupervised Camera-aware Domain Adaptation Framework for Person Re-identification
Unsupervised cross-domain person re-identification (Re-ID) faces two key...
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04/27/2018
Interactive Medical Image Segmentation via Point-Based Interaction and Sequential Patch Learning
Due to low tissue contrast, irregular object appearance, and unpredictab...
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11/11/2017
DeepKSPD: Learning Kernel-matrix-based SPD Representation for Fine-grained Image Recognition
Being symmetric positive-definite (SPD), covariance matrix has tradition...
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10/27/2016
Exploiting Structure Sparsity for Covariance-based Visual Representation
The past few years have witnessed increasing research interest on covari...
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09/29/2016
OPML: A One-Pass Closed-Form Solution for Online Metric Learning
To achieve a low computational cost when performing online metric learni...
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06/23/2015
Learning Discriminative Bayesian Networks from High-dimensional Continuous Neuroimaging Data
Due to its causal semantics, Bayesian networks (BN) have been widely emp...
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04/10/2015
HEp-2 Cell Image Classification with Deep Convolutional Neural Networks
Efficient Human Epithelial-2 (HEp-2) cell image classification can facil...
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07/08/2014