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09/20/2023
Budget-Aware Pruning: Handling Multiple Domains with Less Parameters
Deep learning has achieved state-of-the-art performance on several compu...
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09/20/2023
CNNs for JPEGs: A Study in Computational Cost
Convolutional neural networks (CNNs) have achieved astonishing advances ...
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09/16/2023
Tightening Classification Boundaries in Open Set Domain Adaptation through Unknown Exploitation
Convolutional Neural Networks (CNNs) have brought revolutionary advances...
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09/03/2023
Turn Fake into Real: Adversarial Head Turn Attacks Against Deepfake Detection
Malicious use of deepfakes leads to serious public concerns and reduces ...
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08/28/2023
Compositional Semantic Mix for Domain Adaptation in Point Cloud Segmentation
Deep-learning models for 3D point cloud semantic segmentation exhibit li...
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07/31/2023
Interactive Neural Painting
In the last few years, Neural Painting (NP) techniques became capable of...
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07/22/2023
Edge Guided GANs with Multi-Scale Contrastive Learning for Semantic Image Synthesis
We propose a novel ECGAN for the challenging semantic image synthesis ta...
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07/18/2023
Let's ViCE! Mimicking Human Cognitive Behavior in Image Generation Evaluation
Research in Image Generation has recently made significant progress, par...
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07/16/2023
Householder Projector for Unsupervised Latent Semantics Discovery
Generative Adversarial Networks (GANs), especially the recent style-base...
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05/28/2023
Point-PC: Point Cloud Completion Guided by Prior Knowledge via Causal Inference
Point cloud completion aims to recover raw point clouds captured by scan...
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05/25/2023
T2TD: Text-3D Generation Model based on Prior Knowledge Guidance
In recent years, 3D models have been utilized in many applications, such...
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05/23/2023
Federated Generalized Category Discovery
Generalized category discovery (GCD) aims at grouping unlabeled samples ...
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05/18/2023
Riemannian Multiclass Logistics Regression for SPD Neural Networks
Deep neural networks for learning symmetric positive definite (SPD) matr...
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04/25/2023
Latent Traversals in Generative Models as Potential Flows
Despite the significant recent progress in deep generative models, the u...
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03/30/2023
PAIR-Diffusion: Object-Level Image Editing with Structure-and-Appearance Paired Diffusion Models
Image editing using diffusion models has witnessed extremely fast-paced ...
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03/30/2023
Dynamic Conceptional Contrastive Learning for Generalized Category Discovery
Generalized category discovery (GCD) is a recently proposed open-world p...
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03/28/2023
Large-scale Pre-trained Models are Surprisingly Strong in Incremental Novel Class Discovery
Discovering novel concepts from unlabelled data and in a continuous mann...
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03/26/2023
Adaptive Riemannian Metrics on SPD Manifolds
Symmetric Positive Definite (SPD) matrices have received wide attention ...
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03/20/2023
Attribute-preserving Face Dataset Anonymization via Latent Code Optimization
This work addresses the problem of anonymizing the identity of faces in ...
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03/16/2023
SpectralCLIP: Preventing Artifacts in Text-Guided Style Transfer from a Spectral Perspective
Contrastive Language-Image Pre-Training (CLIP) has refreshed the state o...
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03/16/2023
StylerDALLE: Language-Guided Style Transfer Using a Vector-Quantized Tokenizer of a Large-Scale Generative Model
Despite the progress made in the style transfer task, most previous work...
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03/14/2023
Graph Transformer GANs for Graph-Constrained House Generation
We present a novel graph Transformer generative adversarial network (GTG...
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03/07/2023
Logit Margin Matters: Improving Transferable Targeted Adversarial Attack by Logit Calibration
Previous works have extensively studied the transferability of adversari...
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01/10/2023
Modiff: Action-Conditioned 3D Motion Generation with Denoising Diffusion Probabilistic Models
Diffusion-based generative models have recently emerged as powerful solu...
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12/18/2022
Style-Hallucinated Dual Consistency Learning: A Unified Framework for Visual Domain Generalization
Domain shift widely exists in the visual world, while modern deep neural...
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12/11/2022
Orthogonal SVD Covariance Conditioning and Latent Disentanglement
Inserting an SVD meta-layer into neural networks is prone to make the co...
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11/12/2022
Deep Unsupervised Key Frame Extraction for Efficient Video Classification
Video processing and analysis have become an urgent task since a huge am...
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11/12/2022
Bipartite Graph Reasoning GANs for Person Pose and Facial Image Synthesis
We present a novel bipartite graph reasoning Generative Adversarial Netw...
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10/17/2022
Overlap-guided Gaussian Mixture Models for Point Cloud Registration
Probabilistic 3D point cloud registration methods have shown competitive...
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10/14/2022
Parameter Sharing in Budget-Aware Adapters for Multi-Domain Learning
Deep learning has achieved state-of-the-art performance on several compu...
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10/06/2022
Data Augmentation-free Unsupervised Learning for 3D Point Cloud Understanding
Unsupervised learning on 3D point clouds has undergone a rapid evolution...
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10/05/2022
Vision+X: A Survey on Multimodal Learning in the Light of Data
We are perceiving and communicating with the world in a multisensory man...
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10/03/2022
Smooth image-to-image translations with latent space interpolations
Multi-domain image-to-image (I2I) translations can transform a source im...
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09/30/2022
Rethinking the Learning Paradigm for Facial Expression Recognition
Due to the subjective crowdsourcing annotations and the inherent inter-c...
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09/18/2022
RankFeat: Rank-1 Feature Removal for Out-of-distribution Detection
The task of out-of-distribution (OOD) detection is crucial for deploying...
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09/05/2022
Facial Expression Translation using Landmark Guided GANs
We propose a simple yet powerful Landmark guided Generative Adversarial ...
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08/26/2022
Training and Tuning Generative Neural Radiance Fields for Attribute-Conditional 3D-Aware Face Generation
3D-aware GANs based on generative neural radiance fields (GNeRF) have ac...
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08/16/2022
Uncertainty-guided Source-free Domain Adaptation
Source-free domain adaptation (SFDA) aims to adapt a classifier to an un...
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07/20/2022
CoSMix: Compositional Semantic Mix for Domain Adaptation in 3D LiDAR Segmentation
3D LiDAR semantic segmentation is fundamental for autonomous driving. Se...
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07/20/2022
GIPSO: Geometrically Informed Propagation for Online Adaptation in 3D LiDAR Segmentation
3D point cloud semantic segmentation is fundamental for autonomous drivi...
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07/18/2022
Class-incremental Novel Class Discovery
We study the new task of class-incremental Novel Class Discovery (class-...
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07/11/2022
Adversarial Style Augmentation for Domain Generalized Urban-Scene Segmentation
In this paper, we consider the problem of domain generalization in seman...
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07/09/2022
Batch-efficient EigenDecomposition for Small and Medium Matrices
EigenDecomposition (ED) is at the heart of many computer vision algorith...
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07/05/2022
Improving Covariance Conditioning of the SVD Meta-layer by Orthogonality
Inserting an SVD meta-layer into neural networks is prone to make the co...
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07/04/2022
Interaction Transformer for Human Reaction Generation
We address the challenging task of human reaction generation which aims ...
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06/09/2022
Spatial Entropy Regularization for Vision Transformers
Recent work has shown that the attention maps of Vision Transformers (VT...
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05/26/2022
On the Eigenvalues of Global Covariance Pooling for Fine-grained Visual Recognition
The Fine-Grained Visual Categorization (FGVC) is challenging because the...
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05/25/2022
Breaking the Chain of Gradient Leakage in Vision Transformers
User privacy is of great concern in Federated Learning, while Vision Tra...
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05/18/2022
LeRaC: Learning Rate Curriculum
Most curriculum learning methods require an approach to sort the data sa...
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04/07/2022