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09/13/2023
Reliability-based cleaning of noisy training labels with inductive conformal prediction in multi-modal biomedical data mining
Accurately labeling biomedical data presents a challenge. Traditional se...
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08/27/2023
Hierarchical Contrastive Learning for Pattern-Generalizable Image Corruption Detection
Effective image restoration with large-size corruptions, such as blind i...
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08/09/2023
Scene-Generalizable Interactive Segmentation of Radiance Fields
Existing methods for interactive segmentation in radiance fields entail ...
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08/06/2023
Boosting Few-shot 3D Point Cloud Segmentation via Query-Guided Enhancement
Although extensive research has been conducted on 3D point cloud segment...
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06/01/2023
A Transformer-based representation-learning model with unified processing of multimodal input for clinical diagnostics
During the diagnostic process, clinicians leverage multimodal informatio...
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02/24/2023
Emotion Prediction Oriented method with Multiple Supervisions for Emotion-Cause Pair Extraction
Emotion-cause pair extraction (ECPE) task aims to extract all the pairs ...
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12/19/2022
Million-scale Object Detection with Large Vision Model
Over the past few years, developing a broad, universal, and general-purp...
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12/02/2022
Activating the Discriminability of Novel Classes for Few-shot Segmentation
Despite the remarkable success of existing methods for few-shot segmenta...
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11/27/2022
Semantic-Aware Local-Global Vision Transformer
Vision Transformers have achieved remarkable progresses, among which Swi...
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11/21/2022
UniMSE: Towards Unified Multimodal Sentiment Analysis and Emotion Recognition
Multimodal sentiment analysis (MSA) and emotion recognition in conversat...
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10/22/2022
DIGMN: Dynamic Intent Guided Meta Network for Differentiated User Engagement Forecasting in Online Professional Social Platforms
User engagement prediction plays a critical role for designing interacti...
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08/04/2022
Learning Modal-Invariant and Temporal-Memory for Video-based Visible-Infrared Person Re-Identification
Thanks for the cross-modal retrieval techniques, visible-infrared (RGB-I...
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07/25/2022
Learning Generalizable Latent Representations for Novel Degradations in Super Resolution
Typical methods for blind image super-resolution (SR) focus on dealing w...
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07/25/2022
Few-Shot Object Detection by Knowledge Distillation Using Bag-of-Visual-Words Representations
While fine-tuning based methods for few-shot object detection have achie...
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07/22/2022
Multi-Faceted Distillation of Base-Novel Commonality for Few-shot Object Detection
Most of existing methods for few-shot object detection follow the fine-t...
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07/20/2022
Learning Sequence Representations by Non-local Recurrent Neural Memory
The key challenge of sequence representation learning is to capture the ...
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07/16/2022
Global-Local Stepwise Generative Network for Ultra High-Resolution Image Restoration
While the research on image background restoration from regular size of ...
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07/15/2022
Decoupling Recognition from Detection: Single Shot Self-Reliant Scene Text Spotter
Typical text spotters follow the two-stage spotting strategy: detect the...
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07/04/2022
Domain Adaptive Nuclei Instance Segmentation and Classification via Category-aware Feature Alignment and Pseudo-labelling
Unsupervised domain adaptation (UDA) methods have been broadly utilized ...
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04/18/2022
Centralized Adversarial Learning for Robust Deep Hashing
Deep hashing has been extensively utilized in massive image retrieval be...
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03/21/2022
FaceMap: Towards Unsupervised Face Clustering via Map Equation
Face clustering is an essential task in computer vision due to the explo...
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12/04/2021
U2-Former: A Nested U-shaped Transformer for Image Restoration
While Transformer has achieved remarkable performance in various high-le...
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11/17/2021
Pedestrian Detection by Exemplar-Guided Contrastive Learning
Typical methods for pedestrian detection focus on either tackling mutual...
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10/10/2021
Stepwise-Refining Speech Separation Network via Fine-Grained Encoding in High-order Latent Domain
The crux of single-channel speech separation is how to encode the mixtur...
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10/01/2021
Generative Memory-Guided Semantic Reasoning Model for Image Inpainting
Most existing methods for image inpainting focus on learning the intra-i...
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07/12/2021
TransAttUnet: Multi-level Attention-guided U-Net with Transformer for Medical Image Segmentation
With the development of deep encoder-decoder architectures and large-sca...
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06/26/2021
Dual-Stream Reciprocal Disentanglement Learning for Domain Adaption Person Re-Identification
Since human-labeled samples are free for the target set, unsupervised pe...
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06/12/2021
DS-TransUNet:Dual Swin Transformer U-Net for Medical Image Segmentation
Automatic medical image segmentation has made great progress benefit fro...
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05/17/2021
Prototype-supervised Adversarial Network for Targeted Attack of Deep Hashing
Due to its powerful capability of representation learning and high-effic...
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10/09/2020
Deep-Masking Generative Network: A Unified Framework for Background Restoration from Superimposed Images
Restoring the clean background from the superimposed images containing a...
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09/30/2020
Pruning Filter in Filter
Pruning has become a very powerful and effective technique to compress a...
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04/26/2020
DGD: Densifying the Knowledge of Neural Networks with Filter Grafting and Knowledge Distillation
With a fixed model structure, knowledge distillation and filter grafting...
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01/25/2018