Vasconcelos, Nuno

136 publications

ICML 2025 Core Knowledge Deficits in Multi-Modal Language Models Yijiang Li, Qingying Gao, Tianwei Zhao, Bingyang Wang, Haoran Sun, Haiyun Lyu, Robert D. Hawkins, Nuno Vasconcelos, Tal Golan, Dezhi Luo, Hokin Deng

CVPR 2025 EditAR: Unified Conditional Generation with Autoregressive Models Jiteng Mu, Nuno Vasconcelos, Xiaolong Wang

WACV 2025 Ego-VPA: Egocentric Video Understanding with Parameter-Efficient Adaptation Tz-Ying Wu, Kyle Min, Subarna Tripathi, Nuno Vasconcelos

ICML 2025 EgoPrivacy: What Your First-Person Camera Says About You? Yijiang Li, Genpei Zhang, Jiacheng Cheng, Yi Li, Xiaojun Shan, Dashan Gao, Jiancheng Lyu, Yuan Li, Ning Bi, Nuno Vasconcelos

ICCV 2025 Guiding Diffusion Models with Adaptive Negative Sampling Without External Resources Alakh Desai, Nuno Vasconcelos

ICLR 2025 HQGS: High-Quality Novel View Synthesis with Gaussian Splatting in Degraded Scenes Xin Lin, Shi Luo, Xiaojun Shan, Xiaoyu Zhou, Chao Ren, Lu Qi, Ming-Hsuan Yang, Nuno Vasconcelos

ICCV 2025 IntroStyle: Training-Free Introspective Style Attribution Using Diffusion Features Anand Kumar, Jiteng Mu, Nuno Vasconcelos

NeurIPS 2024 Adapting Diffusion Models for Improved Prompt Compliance and Controllable Image Synthesis Deepak Sridhar, Abhishek Peri, Rohith Rachala, Nuno Vasconcelos

ECCV 2024 Editable Image Elements for Controllable Synthesis Jiteng Mu, Michaël Gharbi, Richard Zhang, Eli Shechtman, Nuno Vasconcelos, Xiaolong Wang, Taesung Park

ECCV 2024 Improving Image Synthesis with Diffusion-Negative Sampling Alakh Desai, Nuno Vasconcelos

ECCV 2024 Learning a Dynamic Privacy-Preserving Camera Robust to Inversion Attacks Jiacheng Cheng, Xiang Dai, Jia Wan, Nick Antipa, Nuno Vasconcelos

CVPR 2024 Long-Tailed Anomaly Detection with Learnable Class Names Chih-Hui Ho, Kuan-Chuan Peng, Nuno Vasconcelos

CVPR 2024 ProTeCt: Prompt Tuning for Taxonomic Open Set Classification Tz-Ying Wu, Chih-Hui Ho, Nuno Vasconcelos

ECCVW 2024 Prompt Sliders for Fine-Grained Control, Editing and Erasing of Concepts in Diffusion Models Deepak Sridhar, Nuno Vasconcelos

CVPR 2024 Towards Calibrated Multi-Label Deep Neural Networks Jiacheng Cheng, Nuno Vasconcelos

ICCV 2023 ActorsNeRF: Animatable Few-Shot Human Rendering with Generalizable NeRFs Jiteng Mu, Shen Sang, Nuno Vasconcelos, Xiaolong Wang

CVPR 2023 Dense Network Expansion for Class Incremental Learning Zhiyuan Hu, Yunsheng Li, Jiancheng Lyu, Dashan Gao, Nuno Vasconcelos

CVPR 2023 SViTT: Temporal Learning of Sparse Video-Text Transformers Yi Li, Kyle Min, Subarna Tripathi, Nuno Vasconcelos

ICCV 2023 Toward Unsupervised Realistic Visual Question Answering Yuwei Zhang, Chih-Hui Ho, Nuno Vasconcelos

CVPR 2023 Towards Professional Level Crowd Annotation of Expert Domain Data Pei Wang, Nuno Vasconcelos

CVPRW 2022 Black-Box Test-Time Shape REFINEment for Single View 3D Reconstruction Brandon Leung, Chih-Hui Ho, Nuno Vasconcelos

ECCV 2022 Breadcrumbs: Adversarial Class-Balanced Sampling for Long-Tailed Recognition Bo Liu, Haoxiang Li, Hao Kang, Gang Hua, Nuno Vasconcelos

CVPR 2022 Calibrating Deep Neural Networks by Pairwise Constraints Jiacheng Cheng, Nuno Vasconcelos

CVPR 2022 Class-Incremental Learning with Strong Pre-Trained Models Tz-Ying Wu, Gurumurthy Swaminathan, Zhizhong Li, Avinash Ravichandran, Nuno Vasconcelos, Rahul Bhotika, Stefano Soatto

CVPR 2022 CoordGAN: Self-Supervised Dense Correspondences Emerge from GANs Jiteng Mu, Shalini De Mello, Zhiding Yu, Nuno Vasconcelos, Xiaolong Wang, Jan Kautz, Sifei Liu

NeurIPS 2022 DISCO: Adversarial Defense with Local Implicit Functions Chih-Hui Ho, Nuno Vasconcelos

CVPR 2022 Improving Video Model Transfer with Dynamic Representation Learning Yi Li, Nuno Vasconcelos

CVPR 2022 Omni-DETR: Omni-Supervised Object Detection with Transformers Pei Wang, Zhaowei Cai, Hao Yang, Gurumurthy Swaminathan, Nuno Vasconcelos, Bernt Schiele, Stefano Soatto

ECCV 2022 Should All Proposals Be Treated Equally in Object Detection? Yunsheng Li, Yinpeng Chen, Xiyang Dai, Dongdong Chen, Mengchen Liu, Pei Yu, Ying Jin, Lu Yuan, Zicheng Liu, Nuno Vasconcelos

NeurIPS 2022 Single-Stage Visual Relationship Learning Using Conditional Queries Alakh Desai, Tz-Ying Wu, Subarna Tripathi, Nuno Vasconcelos

CVPR 2022 VALHALLA: Visual Hallucination for Machine Translation Yi Li, Rameswar Panda, Yoon Kim, Chun-Fu Chen, Rogerio S. Feris, David Cox, Nuno Vasconcelos

ECCVW 2022 YORO - Lightweight End to End Visual Grounding Chih-Hui Ho, Srikar Appalaraju, Bhavan Jasani, R. Manmatha, Nuno Vasconcelos

ICCV 2021 A Machine Teaching Framework for Scalable Recognition Pei Wang, Nuno Vasconcelos

ICCV 2021 A-SDF: Learning Disentangled Signed Distance Functions for Articulated Shape Representation Jiteng Mu, Weichao Qiu, Adam Kortylewski, Alan Yuille, Nuno Vasconcelos, Xiaolong Wang

CVPR 2021 Audio-Visual Instance Discrimination with Cross-Modal Agreement Pedro Morgado, Nuno Vasconcelos, Ishan Misra

ICCV 2021 BEV-Net: Assessing Social Distancing Compliance by Joint People Localization and Geometric Reasoning Zhirui Dai, Yuepeng Jiang, Yi Li, Bo Liu, Antoni B. Chan, Nuno Vasconcelos

CVPR 2021 Dynamic Transfer for Multi-Source Domain Adaptation Yunsheng Li, Lu Yuan, Yinpeng Chen, Pei Wang, Nuno Vasconcelos

ICCV 2021 GistNet: A Geometric Structure Transfer Network for Long-Tailed Recognition Bo Liu, Haoxiang Li, Hao Kang, Gang Hua, Nuno Vasconcelos

CVPR 2021 Gradient-Based Algorithms for Machine Teaching Pei Wang, Kabir Nagrecha, Nuno Vasconcelos

CVPR 2021 IMAGINE: Image Synthesis by Image-Guided Model Inversion Pei Wang, Yijun Li, Krishna Kumar Singh, Jingwan Lu, Nuno Vasconcelos

CVPR 2021 Learning Deep Classifiers Consistent with Fine-Grained Novelty Detection Jiacheng Cheng, Nuno Vasconcelos

ICCV 2021 Learning of Visual Relations: The Devil Is in the Tails Alakh Desai, Tz-Ying Wu, Subarna Tripathi, Nuno Vasconcelos

ICCV 2021 MicroNet: Improving Image Recognition with Extremely Low FLOPs Yunsheng Li, Yinpeng Chen, Xiyang Dai, Dongdong Chen, Mengchen Liu, Lu Yuan, Zicheng Liu, Lei Zhang, Nuno Vasconcelos

CVPR 2021 Rethinking and Improving the Robustness of Image Style Transfer Pei Wang, Yijun Li, Nuno Vasconcelos

ICLR 2021 Revisiting Dynamic Convolution via Matrix Decomposition Yunsheng Li, Yinpeng Chen, Xiyang Dai, Mengchen Liu, Dongdong Chen, Ye Yu, Lu Yuan, Zicheng Liu, Mei Chen, Nuno Vasconcelos

CVPR 2021 Robust Audio-Visual Instance Discrimination Pedro Morgado, Ishan Misra, Nuno Vasconcelos

ECCV 2020 SPOT: Selective Point Cloud Voting for Better Proposal in Point Cloud Object Detection Hongyuan Du, Linjun Li, Bo Liu, Nuno Vasconcelos

ECCV 2020 Solving Long-Tailed Recognition with Deep Realistic Taxonomic Classifier Tz-Ying Wu, Pedro Morgado, Pei Wang, Chih-Hui Ho, Nuno Vasconcelos

JMLR 2019 Multiclass Boosting: Margins, Codewords, Losses, and Algorithms Mohammad Saberian, Nuno Vasconcelos

ECCV 2018 RESOUND: Towards Action Recognition Without Representation Bias Yingwei Li, Yi Li, Nuno Vasconcelos

ECCV 2018 Towards Realistic Predictors Pei Wang, Nuno Vasconcelos

CVPR 2017 AGA: Attribute-Guided Augmentation Mandar Dixit, Roland Kwitt, Marc Niethammer, Nuno Vasconcelos

CVPR 2017 Deep Learning with Low Precision by Half-Wave Gaussian Quantization Zhaowei Cai, Xiaodong He, Jian Sun, Nuno Vasconcelos

ICCV 2017 Deep Scene Image Classification with the MFAFVNet Yunsheng Li, Mandar Dixit, Nuno Vasconcelos

CVPR 2017 Semantically Consistent Regularization for Zero-Shot Recognition Pedro Morgado, Nuno Vasconcelos

ECCV 2016 A Unified Multi-Scale Deep Convolutional Neural Network for Fast Object Detection Zhaowei Cai, Quanfu Fan, Rogério Schmidt Feris, Nuno Vasconcelos

NeurIPS 2016 Object Based Scene Representations Using Fisher Scores of Local Subspace Projections Mandar D Dixit, Nuno Vasconcelos

ECCV 2016 Peak-Piloted Deep Network for Facial Expression Recognition Xiangyun Zhao, Xiaodan Liang, Luoqi Liu, Teng Li, Yugang Han, Nuno Vasconcelos, Shuicheng Yan

WACV 2016 Person-Following UAVs Francisca Vasconcelos, Nuno Vasconcelos

ECCV 2016 Semantic Clustering for Robust Fine-Grained Scene Recognition Marian George, Mandar Dixit, Gábor Zogg, Nuno Vasconcelos

CVPR 2016 VLAD3: Encoding Dynamics of Deep Features for Action Recognition Yingwei Li, Weixin Li, Vijay Mahadevan, Nuno Vasconcelos

JMLR 2015 A View of Margin Losses as Regularizers of Probability Estimates Hamed Masnadi-Shirazi, Nuno Vasconcelos

ICCV 2015 Bayesian Model Adaptation for Crowd Counts Bo Liu, Nuno Vasconcelos

ICCV 2015 Generic Promotion of Diffusion-Based Salient Object Detection Peng Jiang, Nuno Vasconcelos, Jingliang Peng

CVPR 2015 How Many Bits Does It Take for a Stimulus to Be Salient? Sayed Hossein Khatoonabadi, Nuno Vasconcelos, Ivan V. Bajic, Yufeng Shan

ICCV 2015 Learning Complexity-Aware Cascades for Deep Pedestrian Detection Zhaowei Cai, Mohammad Saberian, Nuno Vasconcelos

CVPR 2015 Multiple Instance Learning for Soft Bags via Top Instances Weixin Li, Nuno Vasconcelos

CVPR 2015 Scene Classification with Semantic Fisher Vectors Mandar Dixit, Si Chen, Dashan Gao, Nikhil Rasiwasia, Nuno Vasconcelos

JMLR 2014 Boosting Algorithms for Detector Cascade Learning Mohammad Saberian, Nuno Vasconcelos

ECCV 2014 Geodesic Regression on the Grassmannian Yi Hong, Roland Kwitt, Nikhil Singh, Brad Davis, Nuno Vasconcelos, Marc Niethammer

ICML 2014 Guess-Averse Loss Functions for Cost-Sensitive Multiclass Boosting Oscar Beijbom, Mohammad Saberian, David Kriegman, Nuno Vasconcelos

CVPR 2014 Learning Optimal Seeds for Diffusion-Based Salient Object Detection Song Lu, Vijay Mahadevan, Nuno Vasconcelos

CVPR 2014 Learning Receptive Fields for Pooling from Tensors of Feature Response Can Xu, Nuno Vasconcelos

NeurIPS 2014 Multi-Resolution Cascades for Multiclass Object Detection Mohammad Saberian, Nuno Vasconcelos

ICCV 2013 Class-Specific Simplex-Latent Dirichlet Allocation for Image Classification Mandar Dixit, Nikhil Rasiwasia, Nuno Vasconcelos

ICCV 2013 Dynamic Pooling for Complex Event Recognition Weixin Li, Qian Yu, Ajay Divakaran, Nuno Vasconcelos

CVPR 2013 Recognizing Activities via Bag of Words for Attribute Dynamics Weixin Li, Qian Yu, Harpreet Sawhney, Nuno Vasconcelos

CVPR 2012 Boosting Algorithms for Simultaneous Feature Extraction and Selection Mohammad J. Saberian, Nuno Vasconcelos

NeurIPS 2012 On the Connections Between Saliency and Tracking Vijay Mahadevan, Nuno Vasconcelos

CVPR 2012 On the Regularization of Image Semantics by Modal Expansion José Costa Pereira, Nuno Vasconcelos

NeurIPS 2012 Recognizing Activities by Attribute Dynamics Weixin Li, Nuno Vasconcelos

ECCV 2012 Scene Recognition on the Semantic Manifold Roland Kwitt, Nuno Vasconcelos, Nikhil Rasiwasia

CVPR 2011 Adapted Gaussian Models for Image Classification Mandar Dixit, Nikhil Rasiwasia, Nuno Vasconcelos

CVPRW 2011 Automatic Initialization and Tracking Using Attentional Mechanisms Vijay Mahadevan, Nuno Vasconcelos

CVPRW 2011 Biologically Plausible Detection of Amorphous Objects in the Wild Sunhyoung Han, Nuno Vasconcelos

NeurIPS 2011 Maximum Covariance Unfolding : Manifold Learning for Bimodal Data Vijay Mahadevan, Chi W. Wong, Jose C. Pereira, Tom Liu, Nuno Vasconcelos, Lawrence K. Saul

NeurIPS 2011 Multiclass Boosting: Theory and Algorithms Mohammad J. Saberian, Nuno Vasconcelos

CVPR 2011 TaylorBoost: First and Second-Order Boosting Algorithms with Explicit Margin Control Mohammad J. Saberian, Hamed Masnadi-Shirazi, Nuno Vasconcelos

NeurIPS 2010 A Biologically Plausible Network for the Computation of Orientation Dominance Kritika Muralidharan, Nuno Vasconcelos

CVPR 2010 Anomaly Detection in Crowded Scenes Vijay Mahadevan, Weixin Li, Viral Bhalodia, Nuno Vasconcelos

NeurIPS 2010 Boosting Classifier Cascades Nuno Vasconcelos, Mohammad J. Saberian

CVPR 2010 On the Design of Robust Classifiers for Computer Vision Hamed Masnadi-Shirazi, Vijay Mahadevan, Nuno Vasconcelos

ICML 2010 Risk Minimization, Probability Elicitation, and Cost-Sensitive SVMs Hamed Masnadi-Shirazi, Nuno Vasconcelos

NeurIPS 2010 Variable Margin Losses for Classifier Design Hamed Masnadi-shirazi, Nuno Vasconcelos

ICCV 2009 Bayesian Poisson Regression for Crowd Counting Antoni B. Chan, Nuno Vasconcelos

CVPR 2009 Holistic Context Modeling Using Semantic Co-Occurrences Nikhil Rasiwasia, Nuno Vasconcelos

CVPR 2009 Saliency-Based Discriminant Tracking Vijay Mahadevan, Nuno Vasconcelos

CVPR 2009 Variational Layered Dynamic Textures Antoni B. Chan, Nuno Vasconcelos

CVPRW 2008 A Study of Query by Semantic Example Nikhil Rasiwasia, Nuno Vasconcelos

CVPR 2008 Background Subtraction in Highly Dynamic Scenes Vijay Mahadevan, Nuno Vasconcelos

NeurIPS 2008 On the Design of Loss Functions for Classification: Theory, Robustness to Outliers, and SavageBoost Hamed Masnadi-shirazi, Nuno Vasconcelos

CVPR 2008 Privacy Preserving Crowd Monitoring: Counting People Without People Models or Tracking Antoni B. Chan, Zhang-Sheng John Liang, Nuno Vasconcelos

CVPR 2008 Scene Classification with Low-Dimensional Semantic Spaces and Weak Supervision Nikhil Rasiwasia, Nuno Vasconcelos

ICML 2007 Asymmetric Boosting Hamed Masnadi-Shirazi, Nuno Vasconcelos

ICCV 2007 Bottom-up Saliency Is a Discriminant Process Dashan Gao, Nuno Vasconcelos

CVPR 2007 Classifying Video with Kernel Dynamic Textures Antoni B. Chan, Nuno Vasconcelos

ICML 2007 Direct Convex Relaxations of Sparse SVM Antoni B. Chan, Nuno Vasconcelos, Gert R. G. Lanckriet

CVPR 2007 Discriminant Interest Points Are Stable Dashan Gao, Nuno Vasconcelos

ICCV 2007 High Detection-Rate Cascades for Real-Time Object Detection Hamed Masnadi-Shirazi, Nuno Vasconcelos

NeurIPS 2007 The Discriminant Center-Surround Hypothesis for Bottom-up Saliency Dashan Gao, Vijay Mahadevan, Nuno Vasconcelos

CVPR 2006 Weakly Supervised Top-Down Image Segmentation Manuela Vasconcelos, Nuno Vasconcelos, Gustavo Carneiro

CVPR 2005 An Experimental Comparison of Three Guiding Principles for the Detection Salient Image Locations: Stability, Complexity, and Discrimination Dashan Gao, Nuno Vasconcelos

CVPRW 2005 An Experimental Comparison of Three Guiding Principles for the Detection Salient Image Locations: Stability, Complexity, and Discrimination Dashan Gao, Nuno Vasconcelos

CVPR 2005 Formulating Semantic Image Annotation as a Supervised Learning Problem Gustavo Carneiro, Nuno Vasconcelos

CVPR 2005 Integrated Learning of Saliency, Complex Features, and Object Detectors from Cluttered Scenes Dashan Gao, Nuno Vasconcelos

NeurIPS 2005 Layered Dynamic Textures Antoni B. Chan, Nuno Vasconcelos

ICCV 2005 Mixtures of Dynamic Textures Antoni B. Chan, Nuno Vasconcelos

CVPR 2005 Probabilistic Kernels for the Classification of Auto-Regressive Visual Processes Antoni B. Chan, Nuno Vasconcelos

NeurIPS 2004 Discriminant Saliency for Visual Recognition from Cluttered Scenes Dashan Gao, Nuno Vasconcelos

CVPR 2004 Scalable Discriminant Feature Selection for Image Retrieval and Recognition Nuno Vasconcelos, Manuela Vasconcelos

ECCV 2004 The Kullback-Leibler Kernel as a Framework for Discriminant and Localized Representations for Visual Recognition Nuno Vasconcelos, Purdy Ho, Pedro J. Moreno

NeurIPS 2003 A Kullback-Leibler Divergence Based Kernel for SVM Classification in Multimedia Applications Pedro J. Moreno, Purdy P. Ho, Nuno Vasconcelos

CVPR 2003 Feature Selection by Maximum Marginal Diversity: Optimality and Implications for Visual Recognition Nuno Vasconcelos

NeurIPS 2002 Feature Selection by Maximum Marginal Diversity Nuno Vasconcelos

ECCV 2002 What Is the Role of Independence for Visual Recognition? Nuno Vasconcelos, Gustavo Carneiro

CVPR 2001 Image Indexing with Mixture Hierarchies Nuno Vasconcelos

ICCV 2001 On the Complexity of Probabilistic Image Retrieval Nuno Vasconcelos

CVPR 2000 A Probabilistic Architecture for Content-Based Image Retrieval Nuno Vasconcelos, Andrew Lippman

NeurIPS 2000 Bayesian Video Shot Segmentation Nuno Vasconcelos, Andrew Lippman

ECCV 2000 Learning over Multiple Temporal Scales in Image Databases Nuno Vasconcelos, Andrew Lippman

NeurIPS 1999 Learning from User Feedback in Image Retrieval Systems Nuno Vasconcelos, Andrew Lippman

CVPR 1998 A Bayesian Framework for Semantic Content Characterization Nuno Vasconcelos, Andrew Lippman

CVPR 1998 A Spatiotemporal Motion Model for Video Summarization Nuno Vasconcelos, Andrew Lippman

NeurIPS 1998 Learning Mixture Hierarchies Nuno Vasconcelos, Andrew Lippman

CVPR 1997 Empirical Bayesian EM-Based Motion Segmentation Nuno Vasconcelos, Andrew Lippman

NeurIPS 1997 Multiresolution Tangent Distance for Affine-Invariant Classification Nuno Vasconcelos, Andrew Lippman