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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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08/07/2023
Feature Decoupling-Recycling Network for Fast Interactive Segmentation
Recent interactive segmentation methods iteratively take source image, u...
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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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03/25/2023
Reliability-Hierarchical Memory Network for Scribble-Supervised Video Object Segmentation
This paper aims to solve the video object segmentation (VOS) task in a s...
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01/17/2023
Audio2Gestures: Generating Diverse Gestures from Audio
People may perform diverse gestures affected by various mental and physi...
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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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10/30/2022
Alleviating the Sample Selection Bias in Few-shot Learning by Removing Projection to the Centroid
Few-shot learning (FSL) targets at generalization of vision models towar...
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08/30/2022
SSORN: Self-Supervised Outlier Removal Network for Robust Homography Estimation
The traditional homography estimation pipeline consists of four main ste...
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08/12/2022
Layout-Bridging Text-to-Image Synthesis
The crux of text-to-image synthesis stems from the difficulty of preserv...
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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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07/23/2022
Self-Support Few-Shot Semantic Segmentation
Existing few-shot segmentation methods have achieved great progress base...
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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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03/30/2022
Global Tracking via Ensemble of Local Trackers
The crux of long-term tracking lies in the difficulty of tracking the ta...
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12/14/2021
Exploring Category-correlated Feature for Few-shot Image Classification
Few-shot classification aims to adapt classifiers to novel classes with ...
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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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11/09/2021
Label-Aware Distribution Calibration for Long-tailed Classification
Real-world data usually present long-tailed distributions. Training on i...
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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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08/15/2021
Audio2Gestures: Generating Diverse Gestures from Speech Audio with Conditional Variational Autoencoders
Generating conversational gestures from speech audio is challenging due ...
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08/08/2021
Saliency-Associated Object Tracking
Most existing trackers based on deep learning perform tracking in a holi...
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04/15/2021
SiamCorners: Siamese Corner Networks for Visual Tracking
The current Siamese network based on region proposal network (RPN) has a...
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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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07/24/2020
Commonality-Parsing Network across Shape and Appearance for Partially Supervised Instance Segmentation
Partially supervised instance segmentation aims to perform learning on l...
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12/18/2019
CPGAN: Full-Spectrum Content-Parsing Generative Adversarial Networks for Text-to-Image Synthesis
Typical methods for text-to-image synthesis seek to design effective gen...
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08/31/2019
Push for Quantization: Deep Fisher Hashing
Current massive datasets demand light-weight access for analysis. Discre...
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08/30/2019
Reflective Decoding Network for Image Captioning
State-of-the-art image captioning methods mostly focus on improving visu...
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08/28/2019
Orthogonal Center Learning with Subspace Masking for Person Re-Identification
Person re-identification aims to identify whether pairs of images belong...
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08/26/2019
Non-local Recurrent Neural Memory for Supervised Sequence Modeling
Typical methods for supervised sequence modeling are built upon the recu...
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05/10/2019
Memory-Attended Recurrent Network for Video Captioning
Typical techniques for video captioning follow the encoder-decoder frame...
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04/03/2018
Unsupervised Learning of Sequence Representations by Autoencoders
Traditional machine learning models have problems with handling sequence...
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11/23/2017
Attended End-to-end Architecture for Age Estimation from Facial Expression Videos
The main challenges of age estimation from facial expression videos lie ...
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09/05/2017
Interacting Attention-gated Recurrent Networks for Recommendation
Capturing the temporal dynamics of user preferences over items is import...
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12/01/2016
Temporal Attention-Gated Model for Robust Sequence Classification
Typical techniques for sequence classification are designed for well-seg...
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03/15/2016
Modeling Time Series Similarity with Siamese Recurrent Networks
Traditional techniques for measuring similarities between time series ar...
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06/16/2015