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09/20/2023
RMT: Retentive Networks Meet Vision Transformers
Transformer first appears in the field of natural language processing an...
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08/31/2023
Audio-Driven Dubbing for User Generated Contents via Style-Aware Semi-Parametric Synthesis
Existing automated dubbing methods are usually designed for Professional...
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08/29/2023
Learning Cross-modality Information Bottleneck Representation for Heterogeneous Person Re-Identification
Visible-Infrared person re-identification (VI-ReID) is an important and ...
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08/24/2023
Towards Realistic Unsupervised Fine-tuning with CLIP
The emergence of vision-language models (VLMs), such as CLIP, has spurre...
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08/11/2023
Test-Time Adaptation for Backdoor Defense
Deep neural networks have played a crucial part in many critical domains...
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07/14/2023
TALL: Thumbnail Layout for Deepfake Video Detection
The growing threats of deepfakes to society and cybersecurity have raise...
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07/14/2023
Improving Zero-Shot Generalization for CLIP with Synthesized Prompts
With the growing interest in pretrained vision-language models like CLIP...
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07/06/2023
Benchmarking Test-Time Adaptation against Distribution Shifts in Image Classification
Test-time adaptation (TTA) is a technique aimed at enhancing the general...
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06/09/2023
Boosting Fast and High-Quality Speech Synthesis with Linear Diffusion
Denoising Diffusion Probabilistic Models have shown extraordinary abilit...
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06/01/2023
Lightweight Vision Transformer with Bidirectional Interaction
Recent advancements in vision backbones have significantly improved thei...
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03/31/2023
Rethinking Local Perception in Lightweight Vision Transformer
Vision Transformers (ViTs) have been shown to be effective in various vi...
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03/27/2023
A Comprehensive Survey on Test-Time Adaptation under Distribution Shifts
Machine learning methods strive to acquire a robust model during trainin...
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03/27/2023
Mind the Label Shift of Augmentation-based Graph OOD Generalization
Out-of-distribution (OOD) generalization is an important issue for Graph...
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03/22/2023
AUTO: Adaptive Outlier Optimization for Online Test-Time OOD Detection
Out-of-distribution (OOD) detection is a crucial aspect of deploying mac...
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03/19/2023
AdaptGuard: Defending Against Universal Attacks for Model Adaptation
Model adaptation aims at solving the domain transfer problem under the c...
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03/17/2023
MODIFY: Model-driven Face Stylization without Style Images
Existing face stylization methods always acquire the presence of the tar...
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02/09/2023
MAPS: A Noise-Robust Progressive Learning Approach for Source-Free Domain Adaptive Keypoint Detection
Existing cross-domain keypoint detection methods always require accessin...
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11/21/2022
Vision Transformer with Super Token Sampling
Vision transformer has achieved impressive performance for many vision t...
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10/21/2022
Are You Stealing My Model? Sample Correlation for Fingerprinting Deep Neural Networks
An off-the-shelf model as a commercial service could be stolen by model ...
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10/11/2022
Parallel Augmentation and Dual Enhancement for Occluded Person Re-identification
Occluded person re-identification (Re-ID), the task of searching for the...
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06/19/2022
Finding Diverse and Predictable Subgraphs for Graph Domain Generalization
This paper focuses on out-of-distribution generalization on graphs where...
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05/29/2022
ProxyMix: Proxy-based Mixup Training with Label Refinery for Source-Free Domain Adaptation
Unsupervised domain adaptation (UDA) aims to transfer knowledge from a l...
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05/20/2022
A Survey of Trustworthy Graph Learning: Reliability, Explainability, and Privacy Protection
Deep graph learning has achieved remarkable progresses in both business ...
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03/02/2022
Styleverse: Towards Identity Stylization across Heterogeneous Domains
We propose a new challenging task namely IDentity Stylization (IDS) acro...
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12/30/2021
Few-shot Backdoor Defense Using Shapley Estimation
Deep neural networks have achieved impressive performance in a variety o...
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12/18/2021
Improving Subgraph Recognition with Variational Graph Information Bottleneck
Subgraph recognition aims at discovering a compressed substructure of a ...
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12/18/2021
Towards the Explanation of Graph Neural Networks in Digital Pathology with Information Flows
As Graph Neural Networks (GNNs) are widely adopted in digital pathology,...
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12/16/2021
UMAD: Universal Model Adaptation under Domain and Category Shift
Learning to reject unknown samples (not present in the source classes) i...
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10/20/2021
Toward Accurate and Reliable Iris Segmentation Using Uncertainty Learning
As an upstream task of iris recognition, iris segmentation plays a vital...
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10/04/2021
Causal Representation Learning for Fine-Grained Face Transfer
Identity transfer often faces the challenge of generalizing to new situa...
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10/03/2021
Universal Face Restoration With Memorized Modulation
Blind face restoration (BFR) is a challenging problem because of the unc...
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05/26/2021
PSGAN++: Robust Detail-Preserving Makeup Transfer and Removal
In this paper, we address the makeup transfer and removal tasks simultan...
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04/07/2021
Everything's Talkin': Pareidolia Face Reenactment
We present a new application direction named Pareidolia Face Reenactment...
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04/04/2021
Distill and Fine-tune: Effective Adaptation from a Black-box Source Model
To alleviate the burden of labeling, unsupervised domain adaptation (UDA...
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03/20/2021
Recognizing Predictive Substructures with Subgraph Information Bottleneck
The emergence of Graph Convolutional Network (GCN) has greatly boosted t...
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01/21/2021
CM-NAS: Rethinking Cross-Modality Neural Architectures for Visible-Infrared Person Re-Identification
Visible-Infrared person re-identification (VI-ReID) aims at matching cro...
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12/14/2020
Source Data-absent Unsupervised Domain Adaptation through Hypothesis Transfer and Labeling Transfer
Unsupervised domain adaptation (UDA) aims to transfer knowledge from a r...
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12/07/2020
Backdoor Attack with Sample-Specific Triggers
Recently, backdoor attacks pose a new security threat to the training pr...
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11/10/2020
Unsupervised Contrastive Photo-to-Caricature Translation based on Auto-distortion
Photo-to-caricature translation aims to synthesize the caricature as a r...
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10/29/2020
Free-Form Image Inpainting via Contrastive Attention Network
Most deep learning based image inpainting approaches adopt autoencoder o...
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10/26/2020
P^2 Net: Augmented Parallel-Pyramid Net for Attention Guided Pose Estimation
We propose an augmented Parallel-Pyramid Net (P^2Â Net) with feature refi...
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10/12/2020
Graph Information Bottleneck for Subgraph Recognition
Given the input graph and its label/property, several key problems of gr...
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09/20/2020
DVG-Face: Dual Variational Generation for Heterogeneous Face Recognition
Heterogeneous Face Recognition (HFR) refers to matching cross-domain fac...
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09/17/2020
Deep Momentum Uncertainty Hashing
Discrete optimization is one of the most intractable problems in deep ha...
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08/12/2020
TF-NAS: Rethinking Three Search Freedoms of Latency-Constrained Differentiable Neural Architecture Search
With the flourish of differentiable neural architecture search (NAS), au...
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06/02/2020
Recapture as You Want
With the increasing prevalence and more powerful camera systems of mobil...
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04/20/2020
Cosmetic-Aware Makeup Cleanser
Face verification aims at determining whether a pair of face images belo...
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03/17/2020
Augmented Parallel-Pyramid Net for Attention Guided Pose-Estimation
The target of human pose estimation is to determine body part or joint l...
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03/05/2020
A Balanced and Uncertainty-aware Approach for Partial Domain Adaptation
This work addresses the unsupervised domain adaptation problem, especial...
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01/15/2020