b'Nicu Sebe'

research

∙ 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...

0 Weizhi Nie, et al. ∙

research

∙ 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...

0 Weizhi Nie, et al. ∙

research

∙ 05/23/2023

Federated Generalized Category Discovery

Generalized category discovery (GCD) aims at grouping unlabeled samples ...

0 Nan Pu, et al. ∙

research

∙ 05/18/2023

Riemannian Multiclass Logistics Regression for SPD Neural Networks

Deep neural networks for learning symmetric positive definite (SPD) matr...

0 Ziheng Chen, et al. ∙

research

∙ 04/25/2023

Latent Traversals in Generative Models as Potential Flows

Despite the significant recent progress in deep generative models, the u...

0 Yue Song, et al. ∙

research

∙ 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 ...

0 Vidit Goel, et al. ∙

research

∙ 03/30/2023

Dynamic Conceptional Contrastive Learning for Generalized Category Discovery

Generalized category discovery (GCD) is a recently proposed open-world p...

0 Nan Pu, et al. ∙

research

∙ 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...

0 Mingxuan Liu, et al. ∙

research

∙ 03/26/2023

Adaptive Riemannian Metrics on SPD Manifolds

Symmetric Positive Definite (SPD) matrices have received wide attention ...

0 Ziheng Chen, et al. ∙

research

∙ 03/20/2023

Attribute-preserving Face Dataset Anonymization via Latent Code Optimization

This work addresses the problem of anonymizing the identity of faces in ...

0 Simone Barattin, et al. ∙

research

∙ 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...

0 Zipeng Xu, et al. ∙

research

∙ 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...

0 Zipeng Xu, et al. ∙

research

∙ 03/14/2023

Graph Transformer GANs for Graph-Constrained House Generation

We present a novel graph Transformer generative adversarial network (GTG...

0 Hao Tang, et al. ∙

research

∙ 03/07/2023

Logit Margin Matters: Improving Transferable Targeted Adversarial Attack by Logit Calibration

Previous works have extensively studied the transferability of adversari...

0 Juanjuan Weng, et al. ∙

research

∙ 01/10/2023

Modiff: Action-Conditioned 3D Motion Generation with Denoising Diffusion Probabilistic Models

Diffusion-based generative models have recently emerged as powerful solu...

0 Mengyi Zhao, et al. ∙

research

∙ 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...

0 Yuyang Zhao, et al. ∙

research

∙ 12/11/2022

Orthogonal SVD Covariance Conditioning and Latent Disentanglement

Inserting an SVD meta-layer into neural networks is prone to make the co...

0 Yue Song, et al. ∙

research

∙ 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...

0 Hao Tang, et al. ∙

research

∙ 11/12/2022

Bipartite Graph Reasoning GANs for Person Pose and Facial Image Synthesis

We present a novel bipartite graph reasoning Generative Adversarial Netw...

0 Hao Tang, et al. ∙

research

∙ 10/17/2022

Overlap-guided Gaussian Mixture Models for Point Cloud Registration

Probabilistic 3D point cloud registration methods have shown competitive...

5 Guofeng Mei, et al. ∙

research

∙ 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...

0 Samuel Felipe dos Santos, et al. ∙

research

∙ 10/06/2022

Data Augmentation-free Unsupervised Learning for 3D Point Cloud Understanding

Unsupervised learning on 3D point clouds has undergone a rapid evolution...

14 Guofeng Mei, et al. ∙

research

∙ 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...

1 Ye Zhu, et al. ∙

research

∙ 10/03/2022

Smooth image-to-image translations with latent space interpolations

Multi-domain image-to-image (I2I) translations can transform a source im...

14 Yahui Liu, et al. ∙

research

∙ 09/30/2022

Rethinking the Learning Paradigm for Facial Expression Recognition

Due to the subjective crowdsourcing annotations and the inherent inter-c...

0 Weijie Wang, et al. ∙

research

∙ 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...

0 Yue Song, et al. ∙

research

∙ 09/05/2022

Facial Expression Translation using Landmark Guided GANs

We propose a simple yet powerful Landmark guided Generative Adversarial ...

6 Hao Tang, et al. ∙

research

∙ 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...

29 Jichao Zhang, et al. ∙

research

∙ 08/16/2022

Uncertainty-guided Source-free Domain Adaptation

Source-free domain adaptation (SFDA) aims to adapt a classifier to an un...

14 Subhankar Roy, et al. ∙

research

∙ 07/20/2022

CoSMix: Compositional Semantic Mix for Domain Adaptation in 3D LiDAR Segmentation

3D LiDAR semantic segmentation is fundamental for autonomous driving. Se...

0 Cristiano Saltori, et al. ∙

research

∙ 07/20/2022

GIPSO: Geometrically Informed Propagation for Online Adaptation in 3D LiDAR Segmentation

3D point cloud semantic segmentation is fundamental for autonomous drivi...

0 Cristiano Saltori, et al. ∙

research

∙ 07/18/2022

Class-incremental Novel Class Discovery

We study the new task of class-incremental Novel Class Discovery (class-...

14 Subhankar Roy, et al. ∙

research

∙ 07/11/2022

Adversarial Style Augmentation for Domain Generalized Urban-Scene Segmentation

In this paper, we consider the problem of domain generalization in seman...

0 Zhun Zhong, et al. ∙

research

∙ 07/09/2022

Batch-efficient EigenDecomposition for Small and Medium Matrices

EigenDecomposition (ED) is at the heart of many computer vision algorith...

0 Yue Song, et al. ∙

research

∙ 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...

0 Yue Song, et al. ∙

research

∙ 07/04/2022

Interaction Transformer for Human Reaction Generation

We address the challenging task of human reaction generation which aims ...

0 Baptiste Chopin, et al. ∙

research

∙ 06/09/2022

Spatial Entropy Regularization for Vision Transformers

Recent work has shown that the attention maps of Vision Transformers (VT...

21 Elia Peruzzo, et al. ∙

research

∙ 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...

0 Yue Song, et al. ∙

research

∙ 05/25/2022

Breaking the Chain of Gradient Leakage in Vision Transformers

User privacy is of great concern in Federated Learning, while Vision Tra...

7 Yahui Liu, et al. ∙

research

∙ 05/18/2022

LeRaC: Learning Rate Curriculum

Most curriculum learning methods require an approach to sort the data sa...

0 Florinel-Alin Croitoru, et al. ∙

research

∙ 04/07/2022

Temporal Alignment for History Representation in Reinforcement Learning

Environments in Reinforcement Learning are usually only partially observ...

0 Aleksandr Ermolov, et al. ∙

research

∙ 04/06/2022

Style-Hallucinated Dual Consistency Learning for Domain Generalized Semantic Segmentation

In this paper, we study the task of synthetic-to-real domain generalized...

0 Yuyang Zhao, et al. ∙

research

∙ 03/22/2022

Cross-View Panorama Image Synthesis

In this paper, we tackle the problem of synthesizing a ground-view panor...

4 Songsong Wu, et al. ∙

research

∙ 03/21/2022

Hyperbolic Vision Transformers: Combining Improvements in Metric Learning

Metric learning aims to learn a highly discriminative model encouraging ...

0 Aleksandr Ermolov, et al. ∙

research

∙ 03/05/2022

Federated and Generalized Person Re-identification through Domain and Feature Hallucinating

In this paper, we study the problem of federated domain generalization (...

0 Fengxiang Yang, et al. ∙

research

∙ 03/03/2022

Cross-Modality Earth Mover's Distance for Visible Thermal Person Re-Identification

Visible thermal person re-identification (VT-ReID) suffers from the inte...

0 Yongguo Ling, et al. ∙

research

∙ 02/28/2022

Local and Global GANs with Semantic-Aware Upsampling for Image Generation

In this paper, we address the task of semantic-guided image generation. ...

0 Hao Tang, et al. ∙

research

∙ 02/22/2022

Relation Regularized Scene Graph Generation

Scene graph generation (SGG) is built on top of detected objects to pred...

0 Yuyu Guo, et al. ∙

research

∙ 02/08/2022

Disentangle Saliency Detection into Cascaded Detail Modeling and Body Filling

Salient object detection has been long studied to identify the most visu...

0 Yue Song, et al. ∙

research

∙ 01/29/2022

Fast Differentiable Matrix Square Root and Inverse Square Root

Computing the matrix square root and its inverse in a differentiable man...

12 Yue Song, et al. ∙

Nicu Sebe

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