| 2025 | CVPR | EditAR: Unified Conditional Generation with Autoregressive Models. | Jiteng Mu, Nuno Vasconcelos, Xiaolong Wang |
| 2025 | ICASSP | Diffusion-based Data Augmentation for Object Counting Problems. | Zhen Wang, Yuelei Li, Jia Wan, Nuno Vasconcelos |
| 2025 | ICCV | Guiding Diffusion Models With Adaptive Negative Sampling Without External Resources. | Alakh Desai, Nuno Vasconcelos |
| 2025 | ICCV | IntroStyle: Training-Free Introspective Style Attribution Using Diffusion Features. | Anand Kumar, Jiteng Mu, Nuno Vasconcelos |
| 2025 | ICLR | 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 |
| 2025 | ICML | 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 |
| 2025 | ICML | 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 |
| 2025 | WACV | Ego-VPA: Egocentric Video Understanding with Parameter-Efficient Adaptation. | Tz-Ying Wu, Kyle Min, Subarna Tripathi, Nuno Vasconcelos |
| 2024 | CVPR | Towards Calibrated Multi-Label Deep Neural Networks. | Jiacheng Cheng, Nuno Vasconcelos |
| 2024 | CVPR | Long-Tailed Anomaly Detection with Learnable Class Names. | Chih-Hui Ho, Kuan-Chuan Peng, Nuno Vasconcelos |
| 2024 | CVPR | ProTeCt: Prompt Tuning for Taxonomic Open Set Classification. | Tz-Ying Wu, Chih-Hui Ho, Nuno Vasconcelos |
| 2024 | ECCV | Learning a Dynamic Privacy-Preserving Camera Robust to Inversion Attacks. | Jiacheng Cheng, Xiang Dai, Jia Wan, Nick Antipa, Nuno Vasconcelos |
| 2024 | ECCV | Improving Image Synthesis with Diffusion-Negative Sampling. | Alakh Desai, Nuno Vasconcelos |
| 2024 | ECCV | Editable Image Elements for Controllable Synthesis. | Jiteng Mu, Michal Gharbi, Richard Zhang, Eli Shechtman, Nuno Vasconcelos, Xiaolong Wang, Taesung Park |
| 2024 | ECCV | Prompt Sliders for Fine-Grained Control, Editing and Erasing of Concepts in Diffusion Models. | Deepak Sridhar, Nuno Vasconcelos |
| 2023 | CVPR | Dense Network Expansion for Class Incremental Learning. | Zhiyuan Hu, Yunsheng Li, Jiancheng Lyu, Dashan Gao, Nuno Vasconcelos |
| 2023 | CVPR | SViTT: Temporal Learning of Sparse Video-Text Transformers. | Yi Li, Kyle Min, Subarna Tripathi, Nuno Vasconcelos |
| 2023 | CVPR | Towards Professional Level Crowd Annotation of Expert Domain Data. | Pei Wang, Nuno Vasconcelos |
| 2023 | ICCV | Toward Unsupervised Realistic Visual Question Answering. | Yuwei Zhang, Chih-Hui Ho, Nuno Vasconcelos |
| 2023 | ICCV | ActorsNeRF: Animatable Few-shot Human Rendering with Generalizable NeRFs. | Jiteng Mu, Shen Sang, Nuno Vasconcelos, Xiaolong Wang |
| 2022 | CVPR | Calibrating Deep Neural Networks by Pairwise Constraints. | Jiacheng Cheng, Nuno Vasconcelos |
| 2022 | CVPR | Black-Box Test-Time Shape REFINEment for Single View 3D Reconstruction. | Brandon Leung, Chih-Hui Ho, Nuno Vasconcelos |
| 2022 | CVPR | VALHALLA: Visual Hallucination for Machine Translation. | Yi Li, Rameswar Panda, Yoon Kim, Chun-Fu Richard Chen, Rogrio Feris, David D. Cox, Nuno Vasconcelos |
| 2022 | CVPR | Improving Video Model Transfer with Dynamic Representation Learning. | Yi Li, Nuno Vasconcelos |
| 2022 | CVPR | CoordGAN: Self-Supervised Dense Correspondences Emerge from GANs. | Jiteng Mu, Shalini De Mello, Zhiding Yu, Nuno Vasconcelos, Xiaolong Wang, Jan Kautz, Sifei Liu |
| 2022 | CVPR | Omni-DETR: Omni-Supervised Object Detection with Transformers. | Pei Wang, Zhaowei Cai, Hao Yang, Gurumurthy Swaminathan, Nuno Vasconcelos, Bernt Schiele, Stefano Soatto |
| 2022 | CVPR | Class-Incremental Learning with Strong Pre-trained Models. | Tz-Ying Wu, Gurumurthy Swaminathan, Zhizhong Li, Avinash Ravichandran, Nuno Vasconcelos, Rahul Bhotika, Stefano Soatto |
| 2022 | ECCV | YORO - Lightweight End to End Visual Grounding. | Chih-Hui Ho, Srikar Appalaraju, Bhavan Jasani, R. Manmatha, Nuno Vasconcelos |
| 2022 | ECCV | 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 |
| 2022 | ECCV | Breadcrumbs: Adversarial Class-Balanced Sampling for Long-Tailed Recognition. | Bo Liu, Haoxiang Li, Hao Kang, Gang Hua, Nuno Vasconcelos |
| 2021 | CVPR | Robust Audio-Visual Instance Discrimination. | Pedro Morgado, Ishan Misra, Nuno Vasconcelos |
| 2021 | CVPR | Audio-Visual Instance Discrimination with Cross-Modal Agreement. | Pedro Morgado, Nuno Vasconcelos, Ishan Misra |
| 2021 | CVPR | Learning Deep Classifiers Consistent With Fine-Grained Novelty Detection. | Jiacheng Cheng, Nuno Vasconcelos |
| 2021 | CVPR | Dynamic Transfer for Multi-Source Domain Adaptation. | Yunsheng Li, Lu Yuan, Yinpeng Chen, Pei Wang, Nuno Vasconcelos |
| 2021 | CVPR | IMAGINE: Image Synthesis by Image-Guided Model Inversion. | Pei Wang, Yijun Li, Krishna Kumar Singh, Jingwan Lu, Nuno Vasconcelos |
| 2021 | CVPR | Rethinking and Improving the Robustness of Image Style Transfer. | Pei Wang, Yijun Li, Nuno Vasconcelos |
| 2021 | CVPR | Gradient-Based Algorithms for Machine Teaching. | Pei Wang, Kabir Nagrecha, Nuno Vasconcelos |
| 2021 | ICCV | 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 |
| 2021 | ICCV | Learning of Visual Relations: The Devil is in the Tails. | Alakh Desai, Tz-Ying Wu, Subarna Tripathi, Nuno Vasconcelos |
| 2021 | ICCV | 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 |
| 2021 | ICCV | GistNet: a Geometric Structure Transfer Network for Long-Tailed Recognition. | Bo Liu, Haoxiang Li, Hao Kang, Gang Hua, Nuno Vasconcelos |
| 2021 | ICCV | A-SDF: Learning Disentangled Signed Distance Functions for Articulated Shape Representation. | Jiteng Mu, Weichao Qiu, Adam Kortylewski, Alan L. Yuille, Nuno Vasconcelos, Xiaolong Wang |
| 2021 | ICCV | A Machine Teaching Framework for Scalable Recognition. | Pei Wang, Nuno Vasconcelos |
| 2021 | ICLR | 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 |
| 2020 | CVPR | Rethinking Differentiable Search for Mixed-Precision Neural Networks. | Zhaowei Cai, Nuno Vasconcelos |
| 2020 | CVPR | Exploit Clues From Views: Self-Supervised and Regularized Learning for Multiview Object Recognition. | Chih-Hui Ho, Bo Liu, Tz-Ying Wu, Nuno Vasconcelos |
| 2020 | CVPR | Few-Shot Open-Set Recognition Using Meta-Learning. | Bo Liu, Hao Kang, Haoxiang Li, Gang Hua, Nuno Vasconcelos |
| 2020 | CVPR | Background Data Resampling for Outlier-Aware Classification. | Yi Li, Nuno Vasconcelos |
| 2020 | CVPR | SCOUT: Self-Aware Discriminant Counterfactual Explanations. | Pei Wang, Nuno Vasconcelos |
| 2020 | CVPR | Explainable Object-Induced Action Decision for Autonomous Vehicles. | Yiran Xu, Xiaoyin Yang, Lihang Gong, Hsuan-Chu Lin, Tz-Ying Wu, Yunsheng Li, Nuno Vasconcelos |
| 2020 | ECCV | SPOT: Selective Point Cloud Voting for Better Proposal in Point Cloud Object Detection. | Hongyuan Du, Linjun Li, Bo Liu, Nuno Vasconcelos |
| 2020 | ECCV | Solving Long-Tailed Recognition with Deep Realistic Taxonomic Classifier. | Tz-Ying Wu, Pedro Morgado, Pei Wang, Chih-Hui Ho, Nuno Vasconcelos |
| 2019 | CVPR | Towards Universal Object Detection by Domain Attention. | Xudong Wang, Zhaowei Cai, Dashan Gao, Nuno Vasconcelos |
| 2019 | CVPR | Catastrophic Child's Play: Easy to Perform, Hard to Defend Adversarial Attacks. | Chih-Hui Ho, Brandon Leung, Erik Sandstrm, Yen Chang, Nuno Vasconcelos |
| 2019 | CVPR | PIEs: Pose Invariant Embeddings. | Chih-Hui Ho, Pedro Morgado, Amir Persekian, Nuno Vasconcelos |
| 2019 | CVPR | Efficient Multi-Domain Learning by Covariance Normalization. | Yunsheng Li, Nuno Vasconcelos |
| 2019 | CVPR | REPAIR: Removing Representation Bias by Dataset Resampling. | Yi Li, Nuno Vasconcelos |
| 2019 | CVPR | Bidirectional Learning for Domain Adaptation of Semantic Segmentation. | Yunsheng Li, Lu Yuan, Nuno Vasconcelos |
| 2019 | CVPR | NetTailor: Tuning the Architecture, Not Just the Weights. | Pedro Morgado, Nuno Vasconcelos |
| 2019 | MICCAI | Volumetric Attention for 3D Medical Image Segmentation and Detection. | Xudong Wang, Shizhong Han, Yunqiang Chen, Dashan Gao, Nuno Vasconcelos |
| 2018 | CVPR | Cascade R-CNN: Delving Into High Quality Object Detection. | Zhaowei Cai, Nuno Vasconcelos |
| 2018 | CVPR | Feature Space Transfer for Data Augmentation. | Bo Liu, Xudong Wang, Mandar Dixit, Roland Kwitt, Nuno Vasconcelos |
| 2018 | ECCV | RESOUND: Towards Action Recognition Without Representation Bias. | Yingwei Li, Yi Li, Nuno Vasconcelos |
| 2018 | ECCV | Towards Realistic Predictors. | Pei Wang, Nuno Vasconcelos |
| 2017 | CVPR | Deep Learning with Low Precision by Half-Wave Gaussian Quantization. | Zhaowei Cai, Xiaodong He, Jian Sun, Nuno Vasconcelos |
| 2017 | CVPR | AGA: Attribute-Guided Augmentation. | Mandar Dixit, Roland Kwitt, Marc Niethammer, Nuno Vasconcelos |
| 2017 | CVPR | Semantically Consistent Regularization for Zero-Shot Recognition. | Pedro Morgado, Nuno Vasconcelos |
| 2017 | ICCV | Deep Scene Image Classification with the MFAFVNet. | Yunsheng Li, Mandar Dixit, Nuno Vasconcelos |
| 2016 | BMVC | Boosted Convolutional Neural Networks. | Mohammad Moghimi, Serge J. Belongie, Mohammad J. Saberian, Jian Yang, Nuno Vasconcelos, Li-Jia Li |
| 2016 | CVPR | VLAD3: Encoding Dynamics of Deep Features for Action Recognition. | Yingwei Li, Weixin Li, Vijay Mahadevan, Nuno Vasconcelos |
| 2016 | ECCV | A Unified Multi-scale Deep Convolutional Neural Network for Fast Object Detection. | Zhaowei Cai, Quanfu Fan, Rogrio Schmidt Feris, Nuno Vasconcelos |
| 2016 | ECCV | Semantic Clustering for Robust Fine-Grained Scene Recognition. | Marian George, Mandar Dixit, Gbor Zogg, Nuno Vasconcelos |
| 2016 | ECCV | Peak-Piloted Deep Network for Facial Expression Recognition. | Xiangyun Zhao, Xiaodan Liang, Luoqi Liu, Teng Li, Yugang Han, Nuno Vasconcelos, Shuicheng Yan |
| 2016 | WACV | Person-following UAVs. | Francisca Vasconcelos, Nuno Vasconcelos |
| 2015 | CVPR | Scene classification with semantic Fisher vectors. | Mandar Dixit, Si Chen, Dashan Gao, Nikhil Rasiwasia, Nuno Vasconcelos |
| 2015 | CVPR | How many bits does it take for a stimulus to be salient? | Sayed Hossein Khatoonabadi, Nuno Vasconcelos, Ivan V. Bajic, Yufeng Shan |
| 2015 | CVPR | Multiple instance learning for soft bags via top instances. | Weixin Li, Nuno Vasconcelos |
| 2015 | ICCV | Learning Complexity-Aware Cascades for Deep Pedestrian Detection. | Zhaowei Cai, Mohammad J. Saberian, Nuno Vasconcelos |
| 2015 | ICCV | Generic Promotion of Diffusion-Based Salient Object Detection. | Peng Jiang, Nuno Vasconcelos, Jingliang Peng |
| 2015 | ICCV | Bayesian Model Adaptation for Crowd Counts. | Bo Liu, Nuno Vasconcelos |
| 2014 | CVPR | Learning Optimal Seeds for Diffusion-Based Salient Object Detection. | Song Lu, Vijay Mahadevan, Nuno Vasconcelos |
| 2014 | CVPR | Learning Receptive Fields for Pooling from Tensors of Feature Response. | Can Xu, Nuno Vasconcelos |
| 2014 | ECCV | Geodesic Regression on the Grassmannian. | Yi Hong, Roland Kwitt, Nikhil Singh, Brad Davis, Nuno Vasconcelos, Marc Niethammer |
| 2014 | ICML | Guess-Averse Loss Functions For Cost-Sensitive Multiclass Boosting. | Oscar Beijbom, Mohammad J. Saberian, David J. Kriegman, Nuno Vasconcelos |
| 2013 | CVPR | Recognizing Activities via Bag of Words for Attribute Dynamics. | Weixin Li, Qian Yu, Harpreet S. Sawhney, Nuno Vasconcelos |
| 2013 | ICCV | Class-Specific Simplex-Latent Dirichlet Allocation for Image Classification. | Mandar Dixit, Nikhil Rasiwasia, Nuno Vasconcelos |
| 2013 | ICCV | Dynamic Pooling for Complex Event Recognition. | Weixin Li, Qian Yu, Ajay Divakaran, Nuno Vasconcelos |
| 2012 | CVPR | On the regularization of image semantics by modal expansion. | Jos Costa Pereira, Nuno Vasconcelos |
| 2012 | CVPR | Boosting algorithms for simultaneous feature extraction and selection. | Mohammad J. Saberian, Nuno Vasconcelos |
| 2012 | ECCV | Scene Recognition on the Semantic Manifold. | Roland Kwitt, Nuno Vasconcelos, Nikhil Rasiwasia |
| 2012 | MICCAI | Recognition in Ultrasound Videos: Where Am I? | Roland Kwitt, Nuno Vasconcelos, Sharif Razzaque, Stephen R. Aylward |
| 2011 | CVPR | Adapted Gaussian models for image classification. | Mandar Dixit, Nikhil Rasiwasia, Nuno Vasconcelos |
| 2011 | CVPR | Biologically plausible detection of amorphous objects in the wild. | Sunhyoung Han, Nuno Vasconcelos |
| 2011 | CVPR | Automatic initialization and tracking using attentional mechanisms. | Vijay Mahadevan, Nuno Vasconcelos |
| 2011 | CVPR | TaylorBoost: First and second-order boosting algorithms with explicit margin control. | Mohammad J. Saberian, Hamed Masnadi-Shirazi, Nuno Vasconcelos |
| 2011 | MICCAI | Learning Pit Pattern Concepts for Gastroenterological Training. | Roland Kwitt, Nikhil Rasiwasia, Nuno Vasconcelos, Andreas Uhl, Michael Hfner, Friedrich Wrba |
| 2010 | CVPR | Anomaly detection in crowded scenes. | Vijay Mahadevan, Weixin Li, Viral Bhalodia, Nuno Vasconcelos |
| 2010 | CVPR | On the design of robust classifiers for computer vision. | Hamed Masnadi-Shirazi, Vijay Mahadevan, Nuno Vasconcelos |
| 2010 | ICML | Risk minimization, probability elicitation, and cost-sensitive SVMs. | Hamed Masnadi-Shirazi, Nuno Vasconcelos |
| 2009 | CVPR | Variational layered dynamic textures. | Antoni B. Chan, Nuno Vasconcelos |
| 2009 | CVPR | Saliency-based discriminant tracking. | Vijay Mahadevan, Nuno Vasconcelos |
| 2009 | CVPR | Holistic context modeling using semantic co-occurrences. | Nikhil Rasiwasia, Nuno Vasconcelos |
| 2009 | ICCV | Bayesian Poisson regression for crowd counting. | Antoni B. Chan, Nuno Vasconcelos |
| 2008 | CVPR | Privacy preserving crowd monitoring: Counting people without people models or tracking. | Antoni B. Chan, Zhang-Sheng John Liang, Nuno Vasconcelos |
| 2008 | CVPR | Background subtraction in highly dynamic scenes. | Vijay Mahadevan, Nuno Vasconcelos |
| 2008 | CVPR | Scene classification with low-dimensional semantic spaces and weak supervision. | Nikhil Rasiwasia, Nuno Vasconcelos |
| 2008 | CVPR | A study of query by semantic example. | Nikhil Rasiwasia, Nuno Vasconcelos |
| 2008 | DCC | Object-Based Regions of Interest for Image Compression. | Sunhyoung Han, Nuno Vasconcelos |
| 2008 | ICIP | Complex discriminant features for object classification. | Sunhyoung Han, Nuno Vasconcelos |
| 2008 | ICIP | A systematic study of the role of context on image classification. | Nikhil Rasiwasia, Nuno Vasconcelos |
| 2008 | ICMLA | Tumor Targeting for Lung Cancer Radiotherapy Using Machine Learning Techniques. | Tong Lin, Laura I. Cervino, Xiaoli Tang, Nuno Vasconcelos, Steve B. Jiang |
| 2007 | CVPR | Classifying Video with Kernel Dynamic Textures. | Antoni B. Chan, Nuno Vasconcelos |
| 2007 | CVPR | Discriminant Interest Points are Stable. | Dashan Gao, Nuno Vasconcelos |
| 2007 | ICCV | Bottom-up saliency is a discriminant process. | Dashan Gao, Nuno Vasconcelos |
| 2007 | ICCV | High Detection-rate Cascades for Real-Time Object Detection. | Hamed Masnadi-Shirazi, Nuno Vasconcelos |
| 2007 | ICML | Direct convex relaxations of sparse SVM. | Antoni B. Chan, Nuno Vasconcelos, Gert R. G. Lanckriet |
| 2007 | ICML | Asymmetric boosting. | Hamed Masnadi-Shirazi, Nuno Vasconcelos |
| 2006 | CVPR | Weakly Supervised Top-down Image Segmentation. | Manuela Vasconcelos, Nuno Vasconcelos, Gustavo Carneiro |
| 2006 | ICASSP | Single Image Superresolution Based on Support Vector Regression. | Karl S. Ni, Sanjeev Kumar, Nuno Vasconcelos, Truong Q. Nguyen |
| 2006 | ICIP | Image Compression using Object-Based Regions of Interest. | Sunhyoung Han, Nuno Vasconcelos |
| 2005 | CVPR | Formulating Semantic Image Annotation as a Supervised Learning Problem. | Gustavo Carneiro, Nuno Vasconcelos |
| 2005 | CVPR | Probabilistic Kernels for the Classification of Auto-Regressive Visual Processes. | Antoni B. Chan, Nuno Vasconcelos |
| 2005 | CVPR | Integrated Learning of Saliency, Complex Features, and Object Detectors from Cluttered Scenes. | Dashan Gao, Nuno Vasconcelos |
| 2005 | CVPR | An Experimental Comparison of Three Guiding Principles for the Detection Salient Image Locations: Stability, Complexity, and Discrimination. | Dashan Gao, Nuno Vasconcelos |
| 2005 | ICCV | Mixtures of Dynamic Textures. | Antoni B. Chan, Nuno Vasconcelos |
| 2005 | SIGIR | A database centric view of semantic image annotation and retrieval. | Gustavo Carneiro, Nuno Vasconcelos |
| 2004 | CVPR | Scalable Discriminant Feature Selection for Image Retrieval and Recognition. | Nuno Vasconcelos, Manuela Vasconcelos |
| 2004 | ECCV | The Kullback-Leibler Kernel as a Framework for Discriminant and Localized Representations for Visual Recognition. | Nuno Vasconcelos, Purdy Ho, Pedro J. Moreno |
| 2003 | CVPR | Feature Selection by Maximum Marginal Diversity: optimality and implications for visual recognition. | Nuno Vasconcelos |
| 2003 | ICIP | A family of information-theoretic algorithms for low-complexity discriminant feature selection in image retrieval. | Nuno Vasconcelos |
| 2002 | ECCV | What Is the Role of Independence for Visual Recognition? | Nuno Vasconcelos, Gustavo Carneiro |
| 2002 | ICIP | Exploiting group structure to improve retrieval accuracy and speed in image databases. | Nuno Vasconcelos |
| 2001 | CVPR | Image Indexing with Mixture Hierarchies. | Nuno Vasconcelos |
| 2001 | ICCV | On the Complexity of Probabilistic Image Retrieval. | Nuno Vasconcelos |
| 2001 | ICIP | Content-based retrieval from image databases: current solutions and future directions. | Nuno Vasconcelos, Murat Kunt |
| 2000 | CVPR | A Probabilistic Architecture for Content-Based Image Retrieval. | Nuno Vasconcelos, Andrew Lippman |
| 2000 | ECCV | Learning Over Multiple Temporal Scales in Image Databases. | Nuno Vasconcelos, Andrew Lippman |
| 2000 | ICPR | A Unifying View of Image Similarity. | Nuno Vasconcelos, Andrew Lippman |
| 1998 | CVPR | A Spatiotemporal Motion Model for Video Summarization. | Nuno Vasconcelos, Andrew Lippman |
| 1998 | CVPR | A Bayesian Framework for Semantic Content Characterization. | Nuno Vasconcelos, Andrew Lippman |
| 1998 | DCC | A Bayesian Framework for Content-Based Indexing and Retrieval. | Nuno Vasconcelos, Andrew Lippman |
| 1998 | ICIP | Bayesian Modeling of Video Editing and Structure: Semantic Features for Video Summarization and Browsing. | Nuno Vasconcelos, Andrew Lippman |
| 1997 | CVPR | Empirical Bayesian EM-based Motion Segmentation. | Nuno Vasconcelos, Andrew Lippman |
| 1997 | DCC | Library-based Coding: a Representation for Efficient Video Compression and Retrieval. | Nuno Vasconcelos, Andrew Lippman |
| 1997 | ICIP | Pre and Post-Filtering for Low Bit-Rate Video Coding. | Nuno Vasconcelos, Frdric Dufaux |
| 1997 | ICIP | Towards Semantically Meaningful Feature Spaces for the Characterization of Video Content. | Nuno Vasconcelos, Andrew Lippman |
| 1997 | ICIP | Content-Based Pre-Indexed Video. | Nuno Vasconcelos, Andrew Lippman |
| 1996 | ICIP | Frame-free video. | Nuno Vasconcelos, Andrew Lippman |
| 1995 | ICIP | Spatiotemporal model-based optic flow estimation. | Nuno Vasconcelos, Andrew Lippman |
| 1994 | ICASSP | Library-based image coding. | Nuno Vasconcelos, Andrew Lippman |