Nicu Sebe

82

Papers

281

Total Citations

Papers (82)

Learning Deep Structured Multi-Scale Features using Attention-Gated CRFs for Contour Prediction

NeurIPS 2017arXiv

OpenBias: Open-set Bias Detection in Text-to-Image Generative Models

Federated Generalized Category Discovery

PAIR Diffusion: A Comprehensive Multimodal Object-Level Image Editor

CLIP is Strong Enough to Fight Back: Test-time Counterattacks towards Zero-shot Adversarial Robustness of CLIP

FisherTune: Fisher-Guided Robust Tuning of Vision Foundation Models for Domain Generalized Segmentation

Cross-Modal and Uncertainty-Aware Agglomeration for Open-Vocabulary 3D Scene Understanding

Stable Neighbor Denoising for Source-free Domain Adaptive Segmentation

Generate, Refine, and Encode: Leveraging Synthesized Novel Samples for On-the-Fly Fine-Grained Category Discovery

What Changed? Detecting and Evaluating Instruction-Guided Image Edits with Multimodal Large Language Models

The S-Hock Dataset: Analyzing Crowds at the Stadium

Optimal Graph Learning With Partial Tags and Multiple Features for Image and Video Annotation

Recurrent Face Aging

Self-Adaptive Matrix Completion for Heart Rate Estimation From Face Videos Under Realistic Conditions

Recognizing Emotions From Abstract Paintings Using Non-Linear Matrix Completion

Spatio-Temporal Vector of Locally Max Pooled Features for Action Recognition in Videos

Multi-Scale Continuous CRFs as Sequential Deep Networks for Monocular Depth Estimation

Learning Cross-Modal Deep Representations for Robust Pedestrian Detection

Viraliency: Pooling Local Virality

PAD-Net: Multi-Tasks Guided Prediction-and-Distillation Network for Simultaneous Depth Estimation and Scene Parsing

Deformable GANs for Pose-Based Human Image Generation

Structured Attention Guided Convolutional Neural Fields for Monocular Depth Estimation

Every Smile Is Unique: Landmark-Guided Diverse Smile Generation

Group Consistent Similarity Learning via Deep CRF for Person Re-Identification

Animating Arbitrary Objects via Deep Motion Transfer

Multi-Channel Attention Selection GAN With Cascaded Semantic Guidance for Cross-View Image Translation

Pattern-Affinitive Propagation Across Depth, Surface Normal and Semantic Segmentation

Unsupervised Domain Adaptation Using Feature-Whitening and Consensus Loss

Refine and Distill: Exploiting Cycle-Inconsistency and Knowledge Distillation for Unsupervised Monocular Depth Estimation

Online Depth Learning Against Forgetting in Monocular Videos

Reverse Perspective Network for Perspective-Aware Object Counting

Local Class-Specific and Global Image-Level Generative Adversarial Networks for Semantic-Guided Scene Generation

Learning to Generalize Unseen Domains via Memory-based Multi-Source Meta-Learning for Person Re-Identification

Smoothing the Disentangled Latent Style Space for Unsupervised Image-to-Image Translation

OpenMix: Reviving Known Knowledge for Discovering Novel Visual Categories in an Open World

Joint Noise-Tolerant Learning and Meta Camera Shift Adaptation for Unsupervised Person Re-Identification

Neighborhood Contrastive Learning for Novel Class Discovery

Curriculum Graph Co-Teaching for Multi-Target Domain Adaptation

Novel Class Discovery in Semantic Segmentation

Hyperbolic Vision Transformers: Combining Improvements in Metric Learning

Predict, Prevent, and Evaluate: Disentangled Text-Driven Image Manipulation Empowered by Pre-Trained Vision-Language Model

Dynamically Instance-Guided Adaptation: A Backward-Free Approach for Test-Time Domain Adaptive Semantic Segmentation

Graph Transformer GANs for Graph-Constrained House Generation

Masked Jigsaw Puzzle: A Versatile Position Embedding for Vision Transformers

Attribute-Preserving Face Dataset Anonymization via Latent Code Optimization

Dynamic Conceptional Contrastive Learning for Generalized Category Discovery

Unsupervised Tube Extraction Using Transductive Learning and Dense Trajectories

Localize Me Anywhere, Anytime: A Multi-Task Point-Retrieval Approach

Regressing a 3D Face Shape From a Single Image

Budget-Aware Adapters for Multi-Domain Learning

Exploiting Sample Correlation for Crowd Counting With Multi-Expert Network

Intrinsic-Extrinsic Preserved GANs for Unsupervised 3D Pose Transfer

Why Approximate Matrix Square Root Outperforms Accurate SVD in Global Covariance Pooling?

Householder Projector for Unsupervised Latent Semantics Discovery

StylerDALLE: Language-Guided Style Transfer Using a Vector-Quantized Tokenizer of a Large-Scale Generative Model

Weakly-Supervised Crowd Counting Learns from Sorting rather than Locations

XingGAN for Person Image Generation

3D-Aware Semantic-Guided Generative Model for Human Synthesis

Batch-Efficient EigenDecomposition for Small and Medium Matrices

Improving Covariance Conditioning of the SVD Meta-Layer by Orthogonality

Uncertainty-Guided Source-Free Domain Adaptation

Style-Hallucinated Dual Consistency Learning for Domain Generalized Semantic Segmentation

Class-Incremental Novel Class Discovery

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

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

Transformer-Based Attention Networks for Continuous Pixel-Wise Prediction

Multi-focal Conditioned Latent Diffusion for Person Image Synthesis

Curriculum Direct Preference Optimization for Diffusion and Consistency Models

Superpowering Open-Vocabulary Object Detectors for X-ray Vision

Pseudo-SD: Pseudo Controlled Stable Diffusion for Semi-Supervised and Cross-Domain Semantic Segmentation

SceneSplat: Gaussian Splatting-based Scene Understanding with Vision-Language Pretraining

Hierarchical Visual Prompt Learning for Continual Video Instance Segmentation

Diversity-Authenticity Co-constrained Stylization for Federated Domain Generalization in Person Re-identification

Riemannian Multinomial Logistics Regression for SPD Neural Networks

Hourglass Tokenizer for Efficient Transformer-Based 3D Human Pose Estimation

First Order Motion Model for Image Animation

Latent World Models For Intrinsically Motivated Exploration

Efficient Training of Visual Transformers with Small Datasets

Adversarial Style Augmentation for Domain Generalized Urban-Scene Segmentation

RankFeat: Rank-1 Feature Removal for Out-of-distribution Detection

Discover and Align Taxonomic Context Priors for Open-world Semi-Supervised Learning

Flow Factorized Representation Learning