Nuno Vasconcelos

Ego-VPA: Egocentric Video Understanding with Parameter-Efficient Adaptation WACV 2025 EditAR: Unified Conditional Generation with Autoregressive Models CVPR 2025 EgoPrivacy: What Your First-Person Camera Says About You? ICML 2025 Core Knowledge Deficits in Multi-Modal Language Models ICML 2025 HQGS: High-Quality Novel View Synthesis with Gaussian Splatting in Degraded Scenes ICLR 2025 Guiding Diffusion Models with Adaptive Negative Sampling Without External Resources ICCV 2025 IntroStyle: Training-Free Introspective Style Attribution using Diffusion Features ICCV 2025 ProTeCt: Prompt Tuning for Taxonomic Open Set Classification CVPR 2024 Improving image synthesis with diffusion-negative sampling ECCV 2024 Adapting Diffusion Models for Improved Prompt Compliance and Controllable Image Synthesis NIPS 2024 Editable Image Elements for Controllable Synthesis ECCV 2024 Long-Tailed Anomaly Detection with Learnable Class Names CVPR 2024 Towards Calibrated Multi-label Deep Neural Networks CVPR 2024 Learning a Dynamic Privacy-preserving Camera Robust to Inversion Attacks ECCV 2024 ActorsNeRF: Animatable Few-shot Human Rendering with Generalizable NeRFs ICCV 2023 SViTT: Temporal Learning of Sparse Video-Text Transformers CVPR 2023 Dense Network Expansion for Class Incremental Learning CVPR 2023 Toward Unsupervised Realistic Visual Question Answering ICCV 2023 Towards Professional Level Crowd Annotation of Expert Domain Data CVPR 2023 Class-Incremental Learning With Strong Pre-Trained Models CVPR 2022 Single-Stage Visual Relationship Learning using Conditional Queries NIPS 2022 DISCO: Adversarial Defense with Local Implicit Functions NIPS 2022 CoordGAN: Self-Supervised Dense Correspondences Emerge From GANs CVPR 2022 Improving Video Model Transfer With Dynamic Representation Learning CVPR 2022 Omni-DETR: Omni-Supervised Object Detection With Transformers CVPR 2022 VALHALLA: Visual Hallucination for Machine Translation CVPR 2022 Calibrating Deep Neural Networks by Pairwise Constraints CVPR 2022 Breadcrumbs: Adversarial Class-Balanced Sampling for Long-Tailed Recognition ECCV 2022 Should All Proposals Be Treated Equally in Object Detection? ECCV 2022 Dynamic Transfer for Multi-Source Domain Adaptation CVPR 2021 Gradient-Based Algorithms for Machine Teaching CVPR 2021 IMAGINE: Image Synthesis by Image-Guided Model Inversion CVPR 2021 A Machine Teaching Framework for Scalable Recognition ICCV 2021 Learning of Visual Relations: The Devil Is in the Tails ICCV 2021 A-SDF: Learning Disentangled Signed Distance Functions for Articulated Shape Representation ICCV 2021 BEV-Net: Assessing Social Distancing Compliance by Joint People Localization and Geometric Reasoning ICCV 2021 Revisiting Dynamic Convolution via Matrix Decomposition ICLR 2021 GistNet: A Geometric Structure Transfer Network for Long-Tailed Recognition ICCV 2021 MicroNet: Improving Image Recognition With Extremely Low FLOPs ICCV 2021 Learning Deep Classifiers Consistent With Fine-Grained Novelty Detection CVPR 2021 Audio-Visual Instance Discrimination with Cross-Modal Agreement CVPR 2021 Rethinking and Improving the Robustness of Image Style Transfer CVPR 2021 Robust Audio-Visual Instance Discrimination CVPR 2021 SCOUT: Self-Aware Discriminant Counterfactual Explanations CVPR 2020 Rethinking Differentiable Search for Mixed-Precision Neural Networks CVPR 2020 Exploit Clues From Views: Self-Supervised and Regularized Learning for Multiview Object Recognition CVPR 2020 Explainable Object-Induced Action Decision for Autonomous Vehicles CVPR 2020 Few-Shot Open-Set Recognition Using Meta-Learning CVPR 2020 Background Data Resampling for Outlier-Aware Classification CVPR 2020 Solving Long-tailed Recognition with Deep Realistic Taxonomic Classifier ECCV 2020 SPOT: Selective Point Cloud Voting for Better Proposal in Point Cloud Object Detection ECCV 2020 REPAIR: Removing Representation Bias by Dataset Resampling CVPR 2019 NetTailor: Tuning the Architecture, Not Just the Weights CVPR 2019 PIEs: Pose Invariant Embeddings CVPR 2019 Towards Universal Object Detection by Domain Attention CVPR 2019 Efficient Multi-Domain Learning by Covariance Normalization CVPR 2019 Bidirectional Learning for Domain Adaptation of Semantic Segmentation CVPR 2019 Multiclass Boosting: Margins, Codewords, Losses, and Algorithms JMLR 2019 Catastrophic Child's Play: Easy to Perform, Hard to Defend Adversarial Attacks CVPR 2019 RESOUND: Towards Action Recognition without Representation Bias ECCV 2018 Towards Realistic Predictors ECCV 2018 Cascade R-CNN: Delving Into High Quality Object Detection CVPR 2018 Feature Space Transfer for Data Augmentation CVPR 2018 Deep Learning With Low Precision by Half-Wave Gaussian Quantization CVPR 2017 Deep Scene Image Classification With the MFAFVNet ICCV 2017 Semantically Consistent Regularization for Zero-Shot Recognition CVPR 2017 AGA: Attribute-Guided Augmentation CVPR 2017 Object based Scene Representations using Fisher Scores of Local Subspace Projections NIPS 2016 VLAD3: Encoding Dynamics of Deep Features for Action Recognition CVPR 2016 Scene Classification With Semantic Fisher Vectors CVPR 2015 How Many Bits Does it Take for a Stimulus to Be Salient? CVPR 2015 Multiple Instance Learning for Soft Bags via Top Instances CVPR 2015 A View of Margin Losses as Regularizers of Probability Estimates JMLR 2015 Generic Promotion of Diffusion-Based Salient Object Detection ICCV 2015 Learning Complexity-Aware Cascades for Deep Pedestrian Detection ICCV 2015 Bayesian Model Adaptation for Crowd Counts ICCV 2015 Learning Receptive Fields for Pooling from Tensors of Feature Response CVPR 2014 Multi-Resolution Cascades for Multiclass Object Detection NIPS 2014 Boosting Algorithms for Detector Cascade Learning JMLR 2014 Guess-Averse Loss Functions For Cost-Sensitive Multiclass Boosting ICML 2014 Learning Optimal Seeds for Diffusion-based Salient Object Detection CVPR 2014 Class-Specific Simplex-Latent Dirichlet Allocation for Image Classification ICCV 2013 Dynamic Pooling for Complex Event Recognition ICCV 2013 Recognizing Activities via Bag of Words for Attribute Dynamics CVPR 2013 On the connections between saliency and tracking NIPS 2012 Recognizing Activities by Attribute Dynamics NIPS 2012 Multiclass Boosting: Theory and Algorithms NIPS 2011 Maximum Covariance Unfolding : Manifold Learning for Bimodal Data NIPS 2011 A biologically plausible network for the computation of orientation dominance NIPS 2010 Variable margin losses for classifier design NIPS 2010 Boosting Classifier Cascades NIPS 2010 On the Design of Loss Functions for Classification: theory, robustness to outliers, and SavageBoost NIPS 2008 The discriminant center-surround hypothesis for bottom-up saliency NIPS 2007