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07/27/2023
Regularized Mask Tuning: Uncovering Hidden Knowledge in Pre-trained Vision-Language Models
Prompt tuning and adapter tuning have shown great potential in transferr...
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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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07/20/2023
Deep Spiking-UNet for Image Processing
U-Net, known for its simple yet efficient architecture, is widely utiliz...
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06/28/2023
Knowledge-Enhanced Hierarchical Information Correlation Learning for Multi-Modal Rumor Detection
The explosive growth of rumors with text and images on social media plat...
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03/30/2023
Streaming Video Model
Video understanding tasks have traditionally been modeled by two separat...
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03/18/2023
Spatial-Aware Token for Weakly Supervised Object Localization
Weakly supervised object localization (WSOL) is a challenging task aimin...
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03/18/2023
Grounding 3D Object Affordance from 2D Interactions in Images
Grounding 3D object affordance seeks to locate objects' ”action possibil...
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11/21/2022
Neural Dependencies Emerging from Learning Massive Categories
This work presents two astonishing findings on neural networks learned f...
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07/18/2022
Entity-enhanced Adaptive Reconstruction Network for Weakly Supervised Referring Expression Grounding
Weakly supervised Referring Expression Grounding (REG) aims to ground a ...
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07/15/2022
Enhancement by Your Aesthetic: An Intelligible Unsupervised Personalized Enhancer for Low-Light Images
Low-light image enhancement is an inherently subjective process whose ta...
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06/13/2022
Rank Diminishing in Deep Neural Networks
The rank of neural networks measures information flowing across layers. ...
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06/10/2022
Label Noise-Resistant Mean Teaching for Weakly Supervised Fake News Detection
Fake news spreads at an unprecedented speed, reaches global audiences an...
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05/31/2022
Automatic Relation-aware Graph Network Proliferation
Graph neural architecture search has sparked much attention as Graph Neu...
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05/21/2022
Principled Knowledge Extrapolation with GANs
Human can extrapolate well, generalize daily knowledge into unseen scena...
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04/04/2022
Degradation-agnostic Correspondence from Resolution-asymmetric Stereo
In this paper, we study the problem of stereo matching from a pair of im...
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04/02/2022
Unsupervised Coherent Video Cartoonization with Perceptual Motion Consistency
In recent years, creative content generations like style transfer and ne...
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03/24/2022
FAMLP: A Frequency-Aware MLP-Like Architecture For Domain Generalization
MLP-like models built entirely upon multi-layer perceptrons have recentl...
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03/18/2022
Location-Free Camouflage Generation Network
Camouflage is a common visual phenomenon, which refers to hiding the for...
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03/12/2022
Self-Sustaining Representation Expansion for Non-Exemplar Class-Incremental Learning
Non-exemplar class-incremental learning is to recognize both the old and...
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03/06/2022
Few Shot Generative Model Adaption via Relaxed Spatial Structural Alignment
Training a generative adversarial network (GAN) with limited data has be...
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03/03/2022
Modality-Adaptive Mixup and Invariant Decomposition for RGB-Infrared Person Re-Identification
RGB-infrared person re-identification is an emerging cross-modality re-i...
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03/03/2022
Debiased Batch Normalization via Gaussian Process for Generalizable Person Re-Identification
Generalizable person re-identification aims to learn a model with only s...
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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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11/27/2021
Calibrated Feature Decomposition for Generalizable Person Re-Identification
Existing disentangled-based methods for generalizable person re-identifi...
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09/03/2021
Edge-featured Graph Neural Architecture Search
Graph neural networks (GNNs) have been successfully applied to learning ...
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08/30/2021
A Battle of Network Structures: An Empirical Study of CNN, Transformer, and MLP
Convolutional neural networks (CNN) are the dominant deep neural network...
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08/26/2021
Multi-Modulation Network for Audio-Visual Event Localization
We study the problem of localizing audio-visual events that are both aud...
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08/18/2021
Self-Supervised Visual Representations Learning by Contrastive Mask Prediction
Advanced self-supervised visual representation learning methods rely on ...
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08/18/2021
Learning Conditional Knowledge Distillation for Degraded-Reference Image Quality Assessment
An important scenario for image quality assessment (IQA) is to evaluate ...
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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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07/27/2021
Exploring Sequence Feature Alignment for Domain Adaptive Detection Transformers
Detection transformers have recently shown promising object detection re...
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07/19/2021
Self-Promoted Prototype Refinement for Few-Shot Class-Incremental Learning
Few-shot class-incremental learning is to recognize the new classes give...
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05/07/2021
Adaptive Domain-Specific Normalization for Generalizable Person Re-Identification
Although existing person re-identification (Re-ID) methods have shown im...
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04/15/2021
Spatial-Temporal Correlation and Topology Learning for Person Re-Identification in Videos
Video-based person re-identification aims to match pedestrians from vide...
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03/29/2021
Memory Enhanced Embedding Learning for Cross-Modal Video-Text Retrieval
Cross-modal video-text retrieval, a challenging task in the field of vis...
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03/26/2021
Rethinking Graph Neural Network Search from Message-passing
Graph neural networks (GNNs) emerged recently as a standard toolkit for ...
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03/23/2021
Group-aware Label Transfer for Domain Adaptive Person Re-identification
Unsupervised Domain Adaptive (UDA) person re-identification (ReID) aims ...
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02/24/2021
Synergy Between Semantic Segmentation and Image Denoising via Alternate Boosting
The capability of image semantic segmentation may be deteriorated due to...
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02/03/2021
General-Purpose Speech Representation Learning through a Self-Supervised Multi-Granularity Framework
This paper presents a self-supervised learning framework, named MGF, for...
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01/28/2021
VAE^2: Preventing Posterior Collapse of Variational Video Predictions in the Wild
Predicting future frames of video sequences is challenging due to the co...
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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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09/09/2020
Temporal Attribute-Appearance Learning Network for Video-based Person Re-Identification
Video-based person re-identification aims to match a specific pedestrian...
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08/31/2020
DeepFacePencil: Creating Face Images from Freehand Sketches
In this paper, we explore the task of generating photo-realistic face im...
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08/10/2020
Nighttime Dehazing with a Synthetic Benchmark
Increasing the visibility of nighttime hazy images is challenging becaus...
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07/17/2020
Learning to Discretely Compose Reasoning Module Networks for Video Captioning
Generating natural language descriptions for videos, i.e., video caption...
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04/12/2020
Self-Supervised Tuning for Few-Shot Segmentation
Few-shot segmentation aims at assigning a category label to each image p...
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04/10/2020
Spatiotemporal Fusion in 3D CNNs: A Probabilistic View
Despite the success in still image recognition, deep neural networks for...
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04/10/2020
Co-Saliency Spatio-Temporal Interaction Network for Person Re-Identification in Videos
Person re-identification aims at identifying a certain pedestrian across...
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04/10/2020
Stacked Convolutional Deep Encoding Network for Video-Text Retrieval
Existing dominant approaches for cross-modal video-text retrieval task a...
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04/10/2020
