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09/03/2023
ArSDM: Colonoscopy Images Synthesis with Adaptive Refinement Semantic Diffusion Models
Colonoscopy analysis, particularly automatic polyp segmentation and dete...
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08/22/2023
M3PS: End-to-End Multi-Grained Multi-Modal Attribute-Aware Product Summarization in E-commerce
Given the long textual product information and the product image, Multi-...
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08/20/2023
WMFormer++: Nested Transformer for Visible Watermark Removal via Implict Joint Learning
Watermarking serves as a widely adopted approach to safeguard media copy...
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07/21/2023
Divide and Adapt: Active Domain Adaptation via Customized Learning
Active domain adaptation (ADA) aims to improve the model adaptation perf...
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07/21/2023
Advancing Visual Grounding with Scene Knowledge: Benchmark and Method
Visual grounding (VG) aims to establish fine-grained alignment between v...
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07/21/2023
Bridging Vision and Language Encoders: Parameter-Efficient Tuning for Referring Image Segmentation
Parameter Efficient Tuning (PET) has gained attention for reducing the n...
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07/19/2023
Improved Distribution Matching for Dataset Condensation
Dataset Condensation aims to condense a large dataset into a smaller one...
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07/16/2023
Semi-DETR: Semi-Supervised Object Detection with Detection Transformers
We analyze the DETR-based framework on semi-supervised object detection ...
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07/07/2023
Universal Semi-supervised Model Adaptation via Collaborative Consistency Training
In this paper, we introduce a realistic and challenging domain adaptatio...
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06/30/2023
Exploration and Exploitation of Unlabeled Data for Open-Set Semi-Supervised Learning
In this paper, we address a complex but practical scenario in semi-super...
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06/13/2023
Parametric Implicit Face Representation for Audio-Driven Facial Reenactment
Audio-driven facial reenactment is a crucial technique that has a range ...
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06/06/2023
YONA: You Only Need One Adjacent Reference-frame for Accurate and Fast Video Polyp Detection
Accurate polyp detection is essential for assisting clinical rectal canc...
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05/15/2023
Identity-Preserving Talking Face Generation with Landmark and Appearance Priors
Generating talking face videos from audio attracts lots of research inte...
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04/20/2023
SCoDA: Domain Adaptive Shape Completion for Real Scans
3D shape completion from point clouds is a challenging task, especially ...
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02/22/2023
Structure Embedded Nucleus Classification for Histopathology Images
Nuclei classification provides valuable information for histopathology i...
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02/17/2023
Towards Unifying Medical Vision-and-Language Pre-training via Soft Prompts
Medical vision-and-language pre-training (Med-VLP) has shown promising i...
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01/12/2023
Lesion-aware Dynamic Kernel for Polyp Segmentation
Automatic and accurate polyp segmentation plays an essential role in ear...
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01/12/2023
Self-Supervised Correction Learning for Semi-Supervised Biomedical Image Segmentation
Biomedical image segmentation plays a significant role in computer-aided...
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01/12/2023
Adaptive Context Selection for Polyp Segmentation
Accurate polyp segmentation is of great significance for the diagnosis a...
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12/20/2022
Which Pixel to Annotate: a Label-Efficient Nuclei Segmentation Framework
Recently deep neural networks, which require a large amount of annotated...
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12/07/2022
BoxPolyp:Boost Generalized Polyp Segmentation Using Extra Coarse Bounding Box Annotations
Accurate polyp segmentation is of great importance for colorectal cancer...
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12/02/2022
Compound Batch Normalization for Long-tailed Image Classification
Significant progress has been made in learning image classification neur...
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11/12/2022
Divide and Contrast: Source-free Domain Adaptation via Adaptive Contrastive Learning
We investigate a practical domain adaptation task, called source-free do...
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10/28/2022
OhMG: Zero-shot Open-vocabulary Human Motion Generation
Generating motion in line with text has attracted increasing attention n...
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09/20/2022
View-Disentangled Transformer for Brain Lesion Detection
Deep neural networks (DNNs) have been widely adopted in brain lesion det...
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09/19/2022
Attentive Symmetric Autoencoder for Brain MRI Segmentation
Self-supervised learning methods based on image patch reconstruction hav...
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09/15/2022
Align, Reason and Learn: Enhancing Medical Vision-and-Language Pre-training with Knowledge
Medical vision-and-language pre-training (Med-VLP) has received consider...
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08/05/2022
Neighborhood Collective Estimation for Noisy Label Identification and Correction
Learning with noisy labels (LNL) aims at designing strategies to improve...
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07/31/2022
Robust Real-World Image Super-Resolution against Adversarial Attacks
Recently deep neural networks (DNNs) have achieved significant success i...
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07/29/2022
Centrality and Consistency: Two-Stage Clean Samples Identification for Learning with Instance-Dependent Noisy Labels
Deep models trained with noisy labels are prone to over-fitting and stru...
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07/02/2022
Less is More: Adaptive Curriculum Learning for Thyroid Nodule Diagnosis
Thyroid nodule classification aims at determining whether the nodule is ...
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05/14/2022
BronchusNet: Region and Structure Prior Embedded Representation Learning for Bronchus Segmentation and Classification
CT-based bronchial tree analysis plays an important role in the computer...
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05/09/2022
Multi-level Consistency Learning for Semi-supervised Domain Adaptation
Semi-supervised domain adaptation (SSDA) aims to apply knowledge learned...
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05/07/2022
Dual Adversarial Adaptation for Cross-Device Real-World Image Super-Resolution
Due to the sophisticated imaging process, an identical scene captured by...
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03/07/2022
Open Set Domain Adaptation By Novel Class Discovery
In Open Set Domain Adaptation (OSDA), large amounts of target samples ar...
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03/02/2022
X-Trans2Cap: Cross-Modal Knowledge Transfer using Transformer for 3D Dense Captioning
3D dense captioning aims to describe individual objects by natural langu...
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02/26/2022
Unsupervised Domain Adaptive Salient Object Detection Through Uncertainty-Aware Pseudo-Label Learning
Recent advances in deep learning significantly boost the performance of ...
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02/22/2022
PointMatch: A Consistency Training Framework for Weakly SupervisedSemantic Segmentation of 3D Point Clouds
Semantic segmentation of point cloud usually relies on dense annotation ...
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02/08/2022
Cross-level Contrastive Learning and Consistency Constraint for Semi-supervised Medical Image Segmentation
Semi-supervised learning (SSL), which aims at leveraging a few labeled i...
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11/30/2021
Aerial Images Meet Crowdsourced Trajectories: A New Approach to Robust Road Extraction
Land remote sensing analysis is a crucial research in earth science. In ...
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10/16/2021
Explore before Moving: A Feasible Path Estimation and Memory Recalling Framework for Embodied Navigation
An embodied task such as embodied question answering (EmbodiedQA), requi...
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09/29/2021
Road Network Guided Fine-Grained Urban Traffic Flow Inference
Accurate inference of fine-grained traffic flow from coarse-grained one ...
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08/12/2021
Trash to Treasure: Harvesting OOD Data with Cross-Modal Matching for Open-Set Semi-Supervised Learning
Open-set semi-supervised learning (open-set SSL) investigates a challeng...
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08/11/2021
Towards Interpretable Deep Networks for Monocular Depth Estimation
Deep networks for Monocular Depth Estimation (MDE) have achieved promisi...
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07/02/2021
Online Metro Origin-Destination Prediction via Heterogeneous Information Aggregation
Metro origin-destination prediction is a crucial yet challenging task fo...
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05/15/2021
Cross-Modal Progressive Comprehension for Referring Segmentation
Given a natural language expression and an image/video, the goal of refe...
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05/14/2021
Collaborative Spatial-Temporal Modeling for Language-Queried Video Actor Segmentation
Language-queried video actor segmentation aims to predict the pixel-leve...
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05/01/2021
Cross-Modal Self-Attention with Multi-Task Pre-Training for Medical Visual Question Answering
Due to the severe lack of labeled data, existing methods of medical visu...
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04/19/2021
Cross-Domain Adaptive Clustering for Semi-Supervised Domain Adaptation
In semi-supervised domain adaptation, a few labeled samples per class in...
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04/07/2021