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08/29/2023
Shatter and Gather: Learning Referring Image Segmentation with Text Supervision
Referring image segmentation, the task of segmenting any arbitrary entit...
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08/18/2023
Diffusion Models for Image Restoration and Enhancement – A Comprehensive Survey
Image restoration (IR) has been an indispensable and challenging task in...
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07/26/2023
Adaptive Frequency Filters As Efficient Global Token Mixers
Recent vision transformers, large-kernel CNNs and MLPs have attained rem...
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05/29/2023
Vector-based Representation is the Key: A Study on Disentanglement and Compositional Generalization
Recognizing elementary underlying concepts from observations (disentangl...
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03/13/2023
Learning Distortion Invariant Representation for Image Restoration from A Causality Perspective
In recent years, we have witnessed the great advancement of Deep neural ...
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01/21/2023
Versatile Neural Processes for Learning Implicit Neural Representations
Representing a signal as a continuous function parameterized by neural n...
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12/06/2022
Semantic-aware Message Broadcasting for Efficient Unsupervised Domain Adaptation
Vision transformer has demonstrated great potential in abundant vision t...
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03/31/2022
ReSTR: Convolution-free Referring Image Segmentation Using Transformers
Referring image segmentation is an advanced semantic segmentation task w...
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03/23/2022
Deep Frequency Filtering for Domain Generalization
Improving the generalization capability of Deep Neural Networks (DNNs) i...
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03/11/2022
ActiveMLP: An MLP-like Architecture with Active Token Mixer
This paper presents ActiveMLP, a general MLP-like backbone for computer ...
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01/28/2022
Mask-based Latent Reconstruction for Reinforcement Learning
For deep reinforcement learning (RL) from pixels, learning effective sta...
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12/13/2021
Lifelong Unsupervised Domain Adaptive Person Re-identification with Coordinated Anti-forgetting and Adaptation
Unsupervised domain adaptive person re-identification (ReID) has been ex...
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11/26/2021
Confounder Identification-free Causal Visual Feature Learning
Confounders in deep learning are in general detrimental to model's gener...
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11/07/2021
Multi-Scale Semantics-Guided Neural Networks for Efficient Skeleton-Based Human Action Recognition
Skeleton data is of low dimension. However, there is a trend of using ve...
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10/28/2021
Skeleton-Based Mutually Assisted Interacted Object Localization and Human Action Recognition
Skeleton data carries valuable motion information and is widely explored...
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09/29/2021
WEDGE: Web-Image Assisted Domain Generalization for Semantic Segmentation
Domain generalization for semantic segmentation is highly demanded in re...
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07/31/2021
Pose-Guided Feature Learning with Knowledge Distillation for Occluded Person Re-Identification
Occluded person re-identification (ReID) aims to match person images wit...
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06/21/2021
ToAlign: Task-oriented Alignment for Unsupervised Domain Adaptation
Unsupervised domain adaptive classification intends to improve theclassi...
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06/08/2021
PlayVirtual: Augmenting Cycle-Consistent Virtual Trajectories for Reinforcement Learning
Learning good feature representations is important for deep reinforcemen...
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03/25/2021
Disentanglement-based Cross-Domain Feature Augmentation for Effective Unsupervised Domain Adaptive Person Re-identification
Unsupervised domain adaptive (UDA) person re-identification (ReID) aims ...
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03/25/2021
MetaAlign: Coordinating Domain Alignment and Classification for Unsupervised Domain Adaptation
For unsupervised domain adaptation (UDA), to alleviate the effect of dom...
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03/22/2021
Re-energizing Domain Discriminator with Sample Relabeling for Adversarial Domain Adaptation
Many unsupervised domain adaptation (UDA) methods exploit domain adversa...
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03/02/2021
Generalizing to Unseen Domains: A Survey on Domain Generalization
Domain generalization (DG), i.e., out-of-distribution generalization, ha...
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02/07/2021
AttributeNet: Attribute Enhanced Vehicle Re-Identification
Vehicle Re-Identification (V-ReID) is a critical task that associates th...
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01/03/2021
Style Normalization and Restitution for DomainGeneralization and Adaptation
For many practical computer vision applications, the learned models usua...
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12/16/2020
Exploiting Sample Uncertainty for Domain Adaptive Person Re-Identification
Many unsupervised domain adaptive (UDA) person re-identification (ReID) ...
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10/09/2020
Uncertainty-Aware Few-Shot Image Classification
Few-shot image classification aims to learn to recognize new categories ...
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06/22/2020
Feature Alignment and Restoration for Domain Generalization and Adaptation
For domain generalization (DG) and unsupervised domain adaptation (UDA),...
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06/08/2020
Rethinking Classification Loss Designs for Person Re-identification with a Unified View
Person Re-identification (ReID) aims at matching a person of interest ac...
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06/01/2020
Global Distance-distributions Separation for Unsupervised Person Re-identification
Supervised person re-identification (ReID) often has poor scalability an...
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05/22/2020
Style Normalization and Restitution for Generalizable Person Re-identification
Existing fully-supervised person re-identification (ReID) methods usuall...
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03/27/2020
Multi-Granularity Reference-Aided Attentive Feature Aggregation for Video-based Person Re-identification
Video-based person re-identification (reID) aims at matching the same pe...
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03/01/2020
STC-Flow: Spatio-temporal Context-aware Optical Flow Estimation
In this paper, we propose a spatio-temporal contextual network, STC-Flow...
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01/17/2020
FPCR-Net: Feature Pyramidal Correlation and Residual Reconstruction for Semi-supervised Optical Flow Estimation
Optical flow estimation is an important yet challenging problem in the f...
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01/15/2020
Uncertainty-Aware Multi-Shot Knowledge Distillation for Image-Based Object Re-Identification
Object re-identification (re-id) aims to identify a specific object acro...
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09/03/2019
EleAtt-RNN: Adding Attentiveness to Neurons in Recurrent Neural Networks
Recurrent neural networks (RNNs) are capable of modeling temporal depend...
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05/30/2019
Semantics-Aligned Representation Learning for Person Re-identification
Person re-identification (reID) aims to match person images to retrieve ...
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04/17/2019
CaseNet: Content-Adaptive Scale Interaction Networks for Scene Parsing
Objects in an image exhibit diverse scales. Adaptive receptive fields ar...
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04/05/2019
Relation-Aware Global Attention
Attention mechanism aims to increase the representation power by focusin...
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04/03/2019
Exploring the Semantics for Visual Relationship Detection
Scene graph construction / visual relationship detection from an image a...
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04/02/2019
Semantics-Guided Neural Networks for Efficient Skeleton-Based Human Action Recognition
Skeleton-based human action recognition has attracted a lot of interests...
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01/30/2019
View Invariant 3D Human Pose Estimation
The recent success of deep networks has significantly advanced 3D human ...
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12/21/2018
Densely Semantically Aligned Person Re-Identification
We propose a densely semantically aligned person re-identification (re-I...
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09/11/2018
Temporal-Spatial Mapping for Action Recognition
Deep learning models have enjoyed great success for image related comput...
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07/12/2018
Adding Attentiveness to the Neurons in Recurrent Neural Networks
Recurrent neural networks (RNNs) are capable of modeling the temporal dy...
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04/20/2018
View Adaptive Neural Networks for High Performance Skeleton-based Human Action Recognition
Skeleton-based human action recognition has recently attracted increasin...
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09/21/2017
Human Pose Estimation using Global and Local Normalization
In this paper, we address the problem of estimating the positions of hum...
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03/24/2017
View Adaptive Recurrent Neural Networks for High Performance Human Action Recognition from Skeleton Data
Skeleton-based human action recognition has recently attracted increasin...
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11/18/2016
An End-to-End Spatio-Temporal Attention Model for Human Action Recognition from Skeleton Data
Human action recognition is an important task in computer vision. Extrac...
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04/19/2016