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2020 – today
- 2023
[j16]Charlie Nash, João Carreira, Jacob C. Walker, Iain Barr, Andrew Jaegle, Mateusz Malinowski, Peter W. Battaglia:
Transframer: Arbitrary Frame Prediction with Generative Models. Trans. Mach. Learn. Res. 2023 (2023)- [i40]Adrià Recasens, Jason Lin, João Carreira, Andrew Jaegle, Luyu Wang, Jean-Baptiste Alayrac, Pauline Luc, Antoine Miech, Lucas Smaira, Ross Hemsley, Andrew Zisserman:
Zorro: the masked multimodal transformer. CoRR abs/2301.09595 (2023) - [i39]Viorica Patraucean, Lucas Smaira, Ankush Gupta, Adrià Recasens Continente, Larisa Markeeva, Dylan Banarse, Skanda Koppula, Joseph Heyward, Mateusz Malinowski, Yi Yang, Carl Doersch, Tatiana Matejovicova, Yury Sulsky, Antoine Miech, Alex Frechette, Hanna Klimczak, Raphael Koster, Junlin Zhang, Stephanie Winkler, Yusuf Aytar, Simon Osindero, Dima Damen, Andrew Zisserman, João Carreira:
Perception Test: A Diagnostic Benchmark for Multimodal Video Models. CoRR abs/2305.13786 (2023) - [i38]Carl Doersch, Yi Yang, Mel Vecerík, Dilara Gokay, Ankush Gupta, Yusuf Aytar, João Carreira, Andrew Zisserman:
TAPIR: Tracking Any Point with per-frame Initialization and temporal Refinement. CoRR abs/2306.08637 (2023) - 2022
- [c54]Olivia Wiles, João Carreira, Iain Barr, Andrew Zisserman, Mateusz Malinowski:
Compressed Vision for Efficient Video Understanding. ACCV (7) 2022: 679-695 - [c53]Wang Yifan, Carl Doersch, Relja Arandjelovic, João Carreira, Andrew Zisserman:
Input-level Inductive Biases for 3D Reconstruction. CVPR 2022: 6166-6176 - [c52]Olivier J. Hénaff, Skanda Koppula, Evan Shelhamer, Daniel Zoran, Andrew Jaegle, Andrew Zisserman, João Carreira, Relja Arandjelovic:
Object Discovery and Representation Networks. ECCV (27) 2022: 123-143 - [c51]Luyu Wang, Pauline Luc, Yan Wu, Adrià Recasens, Lucas Smaira, Andrew Brock, Andrew Jaegle, Jean-Baptiste Alayrac, Sander Dieleman, João Carreira, Aäron van den Oord:
Towards Learning Universal Audio Representations. ICASSP 2022: 4593-4597 - [c50]Andrew Jaegle, Sebastian Borgeaud, Jean-Baptiste Alayrac, Carl Doersch, Catalin Ionescu, David Ding, Skanda Koppula, Daniel Zoran, Andrew Brock, Evan Shelhamer, Olivier J. Hénaff, Matthew M. Botvinick, Andrew Zisserman, Oriol Vinyals, João Carreira:
Perceiver IO: A General Architecture for Structured Inputs & Outputs. ICLR 2022 - [c49]Curtis Hawthorne, Andrew Jaegle, Catalina Cangea, Sebastian Borgeaud, Charlie Nash, Mateusz Malinowski, Sander Dieleman, Oriol Vinyals, Matthew M. Botvinick, Ian Simon, Hannah Sheahan, Neil Zeghidour, Jean-Baptiste Alayrac, João Carreira, Jesse H. Engel:
General-purpose, long-context autoregressive modeling with Perceiver AR. ICML 2022: 8535-8558 - [c48]Carl Doersch, Ankush Gupta, Larisa Markeeva, Adrià Recasens, Lucas Smaira, Yusuf Aytar, João Carreira, Andrew Zisserman, Yi Yang:
TAP-Vid: A Benchmark for Tracking Any Point in a Video. NeurIPS 2022 - [i37]Curtis Hawthorne, Andrew Jaegle, Catalina Cangea, Sebastian Borgeaud, Charlie Nash, Mateusz Malinowski, Sander Dieleman, Oriol Vinyals, Matthew M. Botvinick, Ian Simon, Hannah Sheahan, Neil Zeghidour, Jean-Baptiste Alayrac, João Carreira, Jesse H. Engel:
General-purpose, long-context autoregressive modeling with Perceiver AR. CoRR abs/2202.07765 (2022) - [i36]João Carreira, Skanda Koppula, Daniel Zoran, Adrià Recasens, Catalin Ionescu, Olivier J. Hénaff, Evan Shelhamer, Relja Arandjelovic, Matthew M. Botvinick, Oriol Vinyals, Karen Simonyan, Andrew Zisserman, Andrew Jaegle:
Hierarchical Perceiver. CoRR abs/2202.10890 (2022) - [i35]Olivier J. Hénaff, Skanda Koppula, Evan Shelhamer, Daniel Zoran, Andrew Jaegle, Andrew Zisserman, João Carreira, Relja Arandjelovic:
Object discovery and representation networks. CoRR abs/2203.08777 (2022) - [i34]Charlie Nash, João Carreira, Jacob C. Walker, Iain Barr, Andrew Jaegle, Mateusz Malinowski, Peter W. Battaglia:
Transframer: Arbitrary Frame Prediction with Generative Models. CoRR abs/2203.09494 (2022) - [i33]Skanda Koppula, Yazhe Li, Evan Shelhamer, Andrew Jaegle, Nikhil Parthasarathy, Relja Arandjelovic, João Carreira, Olivier J. Hénaff:
Where Should I Spend My FLOPS? Efficiency Evaluations of Visual Pre-training Methods. CoRR abs/2209.15589 (2022) - [i32]Olivia Wiles, João Carreira, Iain Barr, Andrew Zisserman, Mateusz Malinowski:
Compressed Vision for Efficient Video Understanding. CoRR abs/2210.02995 (2022) - [i31]Nikhil Parthasarathy, S. M. Ali Eslami, João Carreira, Olivier J. Hénaff:
Self-supervised video pretraining yields strong image representations. CoRR abs/2210.06433 (2022) - [i30]Carl Doersch, Ankush Gupta, Larisa Markeeva, Adrià Recasens, Lucas Smaira, Yusuf Aytar, João Carreira, Andrew Zisserman, Yi Yang:
TAP-Vid: A Benchmark for Tracking Any Point in a Video. CoRR abs/2211.03726 (2022) - 2021
- [j15]Johann Schleier-Smith, Vikram Sreekanti, Anurag Khandelwal, João Carreira, Neeraja Jayant Yadwadkar, Raluca Ada Popa, Joseph E. Gonzalez, Ion Stoica, David A. Patterson:
What serverless computing is and should become: the next phase of cloud computing. Commun. ACM 64(5): 76-84 (2021) - [c47]Mateusz Malinowski, Dimitrios Vytiniotis, Grzegorz Swirszcz, Viorica Patraucean, João Carreira:
Gradient Forward-Propagation for Large-Scale Temporal Video Modelling. CVPR 2021: 9249-9259 - [c46]João Carreira, Sumer Kohli
, Rodrigo Bruno, Pedro Fonseca:
From warm to hot starts: leveraging runtimes for the serverless era. HotOS 2021: 58-64 - [c45]Olivier J. Hénaff, Skanda Koppula, Jean-Baptiste Alayrac, Aäron van den Oord, Oriol Vinyals, João Carreira:
Efficient Visual Pretraining with Contrastive Detection. ICCV 2021: 10066-10076 - [c44]João Carreira, Sérgio M. M. de Faria, Luis M. N. Tavora, Antonio Navarro, Pedro A. Amado Assunção:
Attention-driven tile splitting method for improved efficiency of omnidirectional versatile video coding. ICIP 2021: 2149-2153 - [c43]Andrew Jaegle, Felix Gimeno, Andy Brock, Oriol Vinyals, Andrew Zisserman, João Carreira:
Perceiver: General Perception with Iterative Attention. ICML 2021: 4651-4664 - [i29]Andrew Jaegle, Felix Gimeno, Andrew Brock, Andrew Zisserman, Oriol Vinyals, João Carreira:
Perceiver: General Perception with Iterative Attention. CoRR abs/2103.03206 (2021) - [i28]Olivier J. Hénaff, Skanda Koppula, Jean-Baptiste Alayrac, Aäron van den Oord, Oriol Vinyals, João Carreira:
Efficient Visual Pretraining with Contrastive Detection. CoRR abs/2103.10957 (2021) - [i27]Mateusz Malinowski, Dimitrios Vytiniotis, Grzegorz Swirszcz, Viorica Patraucean, João Carreira:
Gradient Forward-Propagation for Large-Scale Temporal Video Modelling. CoRR abs/2106.08318 (2021) - [i26]Andrew Jaegle, Sebastian Borgeaud, Jean-Baptiste Alayrac, Carl Doersch, Catalin Ionescu, David Ding, Skanda Koppula, Daniel Zoran, Andrew Brock, Evan Shelhamer, Olivier J. Hénaff, Matthew M. Botvinick, Andrew Zisserman, Oriol Vinyals, João Carreira:
Perceiver IO: A General Architecture for Structured Inputs & Outputs. CoRR abs/2107.14795 (2021) - [i25]Luyu Wang, Pauline Luc, Yan Wu, Adrià Recasens, Lucas Smaira, Andrew Brock, Andrew Jaegle, Jean-Baptiste Alayrac, Sander Dieleman, João Carreira, Aäron van den Oord:
Towards Learning Universal Audio Representations. CoRR abs/2111.12124 (2021) - [i24]Wang Yifan, Carl Doersch, Relja Arandjelovic, João Carreira, Andrew Zisserman:
Input-level Inductive Biases for 3D Reconstruction. CoRR abs/2112.03243 (2021) - 2020
- [c42]João Carreira, Sérgio M. M. de Faria, Luis M. N. Tavora, Antonio Navarro, Pedro A. Amado Assunção:
Scalable Coding of 360-degree Video for Streaming Adaptation at 5G Network Edges. BMSB 2020: 1-5 - [c41]Gunnar A. Sigurdsson, Jean-Baptiste Alayrac, Aida Nematzadeh, Lucas Smaira, Mateusz Malinowski, João Carreira, Phil Blunsom, Andrew Zisserman:
Visual Grounding in Video for Unsupervised Word Translation. CVPR 2020: 10847-10856 - [c40]Mateusz Malinowski, Grzegorz Swirszcz, João Carreira, Viorica Patraucean:
Sideways: Depth-Parallel Training of Video Models. CVPR 2020: 11831-11840 - [c39]João Carreira, Sérgio M. M. de Faria, Luis M. N. Tavora, Antonio Navarro, Pedro A. Amado Assunção:
Versatile Video Coding Of 360° Video Using Adaptive Resolution Change. ICIP 2020: 3398-3402 - [c38]Jose N. Filipe, João Carreira, Luis M. N. Tavora, Sérgio M. M. de Faria, Antonio Navarro, Pedro A. Amado Assunção:
Complexity Estimation for Load Balancing of 360-Degree Intra Versatile Video Coding. SiPS 2020: 1-5 - [i23]Mateusz Malinowski, Grzegorz Swirszcz, João Carreira, Viorica Patraucean:
Sideways: Depth-Parallel Training of Video Models. CoRR abs/2001.06232 (2020) - [i22]Gunnar A. Sigurdsson, Jean-Baptiste Alayrac, Aida Nematzadeh, Lucas Smaira, Mateusz Malinowski, João Carreira, Phil Blunsom, Andrew Zisserman:
Visual Grounding in Video for Unsupervised Word Translation. CoRR abs/2003.05078 (2020) - [i21]Ang Li, Meghana Thotakuri, David A. Ross, João Carreira, Alexander Vostrikov, Andrew Zisserman:
The AVA-Kinetics Localized Human Actions Video Dataset. CoRR abs/2005.00214 (2020) - [i20]Lucas Smaira, João Carreira, Eric Noland, Ellen Clancy, Amy Wu, Andrew Zisserman:
A Short Note on the Kinetics-700-2020 Human Action Dataset. CoRR abs/2010.10864 (2020)
2010 – 2019
- 2019
- [j14]João Carreira, Pedro A. Amado Assunção, Sérgio M. M. de Faria, Erhan Ekmekcioglu, Ahmet M. Kondoz:
Error Concealment-Aware Encoding for Robust Video Transmission. IEEE Trans. Broadcast. 65(2): 282-293 (2019) - [c37]João Carreira, Pedro Fonseca, Alexey Tumanov, Andrew Zhang, Randy H. Katz:
Cirrus: a Serverless Framework for End-to-end ML Workflows. SoCC 2019: 13-24 - [c36]Rohit Girdhar, João Carreira, Carl Doersch, Andrew Zisserman:
Video Action Transformer Network. CVPR 2019: 244-253 - [c35]Jean-Baptiste Alayrac, João Carreira, Andrew Zisserman:
The Visual Centrifuge: Model-Free Layered Video Representations. CVPR 2019: 2457-2466 - [c34]Jean-Baptiste Alayrac, João Carreira, Relja Arandjelovic, Andrew Zisserman:
Controllable Attention for Structured Layered Video Decomposition. ICCV 2019: 5733-5742 - [c33]João Carreira, Sérgio M. M. de Faria, Luis M. N. Tavora, Antonio Navarro, Pedro A. Amado Assunção:
Versatile Video Coding of 360-Degree Video using Frame-Based FoV and Visual Attention. ISM 2019: 80-85 - [i19]Eric Jonas, Johann Schleier-Smith, Vikram Sreekanti, Chia-che Tsai, Anurag Khandelwal, Qifan Pu, Vaishaal Shankar, João Carreira, Karl Krauth, Neeraja Jayant Yadwadkar, Joseph E. Gonzalez, Raluca Ada Popa, Ion Stoica, David A. Patterson:
Cloud Programming Simplified: A Berkeley View on Serverless Computing. CoRR abs/1902.03383 (2019) - [i18]João Carreira, Eric Noland, Chloe Hillier, Andrew Zisserman:
A Short Note on the Kinetics-700 Human Action Dataset. CoRR abs/1907.06987 (2019) - [i17]Jean-Baptiste Alayrac, João Carreira, Relja Arandjelovic, Andrew Zisserman:
Controllable Attention for Structured Layered Video Decomposition. CoRR abs/1910.11306 (2019) - 2018
- [j13]João Carreira, Pedro A. Amado Assunção, Sérgio M. M. de Faria, Erhan Ekmekcioglu, Ahmet M. Kondoz:
A Two-Stage Approach for Robust HEVC Coding and Streaming. IEEE Trans. Circuits Syst. Video Technol. 28(8): 1960-1973 (2018) - [c32]João Carreira, Viorica Patraucean, Laurent Mazaré, Andrew Zisserman, Simon Osindero:
Massively Parallel Video Networks. ECCV (4) 2018: 680-697 - [i16]João Carreira, Viorica Patraucean, Laurent Mazaré, Andrew Zisserman, Simon Osindero:
Massively Parallel Video Networks. CoRR abs/1806.03863 (2018) - [i15]Rohit Girdhar, João Carreira, Carl Doersch, Andrew Zisserman:
A Better Baseline for AVA. CoRR abs/1807.10066 (2018) - [i14]João Carreira, Eric Noland, Andras Banki-Horvath, Chloe Hillier, Andrew Zisserman:
A Short Note about Kinetics-600. CoRR abs/1808.01340 (2018) - [i13]Jean-Baptiste Alayrac, João Carreira, Andrew Zisserman:
The Visual Centrifuge: Model-Free Layered Video Representations. CoRR abs/1812.01461 (2018) - [i12]Rohit Girdhar, João Carreira, Carl Doersch, Andrew Zisserman:
Video Action Transformer Network. CoRR abs/1812.02707 (2018) - 2017
- [j12]Shubham Tulsiani, Abhishek Kar, João Carreira, Jitendra Malik:
Learning Category-Specific Deformable 3D Models for Object Reconstruction. IEEE Trans. Pattern Anal. Mach. Intell. 39(4): 719-731 (2017) - [c31]João Carreira, Andrew Zisserman:
Quo Vadis, Action Recognition? A New Model and the Kinetics Dataset. CVPR 2017: 4724-4733 - [c30]João Murta Pina, João Pedro Oliveira, Carlos Simão, João Carreira, Bruno Carlos, Vera Esquetim:
Smart photovoltaic systems a cyber-physical systems/IoT approach: Architecture, implementantion and pilot description. ICE/ITMC 2017: 1376-1381 - [c29]João Carreira, Pedro A. Amado Assunção, Sérgio M. M. Faria, Erhan Ekmekcioglu, Ahmet M. Kondoz:
A robust video encoding scheme to enhance error concealment of intra frames. ISCAS 2017: 1-4 - [i11]Will Kay, João Carreira, Karen Simonyan, Brian Zhang, Chloe Hillier, Sudheendra Vijayanarasimhan, Fabio Viola, Tim Green, Trevor Back, Paul Natsev, Mustafa Suleyman, Andrew Zisserman:
The Kinetics Human Action Video Dataset. CoRR abs/1705.06950 (2017) - [i10]João Carreira, Andrew Zisserman:
Quo Vadis, Action Recognition? A New Model and the Kinetics Dataset. CoRR abs/1705.07750 (2017) - 2016
- [j11]João Carreira, Sara Vicente, Lourdes Agapito, Jorge Batista:
Lifting Object Detection Datasets into 3D. IEEE Trans. Pattern Anal. Mach. Intell. 38(7): 1342-1355 (2016) - [j10]Jitendra Malik, Pablo Andrés Arbeláez, João Carreira, Katerina Fragkiadaki, Ross B. Girshick, Georgia Gkioxari, Saurabh Gupta, Bharath Hariharan, Abhishek Kar, Shubham Tulsiani:
The three R's of computer vision: Recognition, reconstruction and reorganization. Pattern Recognit. Lett. 72: 4-14 (2016) - [c28]João Carreira, Pulkit Agrawal, Katerina Fragkiadaki, Jitendra Malik:
Human Pose Estimation with Iterative Error Feedback. CVPR 2016: 4733-4742 - [c27]Peter Xiang Gao, Akshay Narayan, Sagar Karandikar, João Carreira, Sangjin Han, Rachit Agarwal, Sylvia Ratnasamy, Scott Shenker:
Network Requirements for Resource Disaggregation. OSDI 2016: 249-264 - 2015
- [j9]João Carreira, Rui Caseiro, Jorge Batista, Cristian Sminchisescu:
Free-Form Region Description with Second-Order Pooling. IEEE Trans. Pattern Anal. Mach. Intell. 37(6): 1177-1189 (2015) - [c26]Abhishek Kar, Shubham Tulsiani, João Carreira, Jitendra Malik:
Category-specific object reconstruction from a single image. CVPR 2015: 1966-1974 - [c25]João Carreira, Abhishek Kar, Shubham Tulsiani, Jitendra Malik:
Virtual view networks for object reconstruction. CVPR 2015: 2937-2946 - [c24]Pulkit Agrawal, João Carreira, Jitendra Malik:
Learning to See by Moving. ICCV 2015: 37-45 - [c23]Shubham Tulsiani, João Carreira, Jitendra Malik:
Pose Induction for Novel Object Categories. ICCV 2015: 64-72 - [c22]Abhishek Kar, Shubham Tulsiani, João Carreira, Jitendra Malik:
Amodal Completion and Size Constancy in Natural Scenes. ICCV 2015: 127-135 - [c21]João Carreira, Pedro Assunção, Sérgio M. M. Faria, Erhan Ekmekcioglu, Ahmet M. Kondoz, H. Lim:
Reference picture selection using checkerboard pattern for resilient video coding. VCIP 2015: 1-4 - [i9]João Carreira, Sara Vicente, Lourdes Agapito, Jorge Batista:
Lifting Object Detection Datasets into 3D. CoRR abs/1503.06465 (2015) - [i8]Shubham Tulsiani, João Carreira, Jitendra Malik:
Pose Induction for Novel Object Categories. CoRR abs/1505.00066 (2015) - [i7]Pulkit Agrawal, João Carreira, Jitendra Malik:
Learning to See by Moving. CoRR abs/1505.01596 (2015) - [i6]João Carreira, Pulkit Agrawal, Katerina Fragkiadaki, Jitendra Malik:
Human Pose Estimation with Iterative Error Feedback. CoRR abs/1507.06550 (2015) - [i5]Abhishek Kar, Shubham Tulsiani, João Carreira, Jitendra Malik:
Amodal Completion and Size Constancy in Natural Scenes. CoRR abs/1509.08147 (2015) - [i4]Shubham Tulsiani, Abhishek Kar, Qixing Huang, João Carreira, Jitendra Malik:
Shape and Symmetry Induction for 3D Objects. CoRR abs/1511.07845 (2015) - 2014
- [j8]Adrian Ion, João Carreira, Cristian Sminchisescu:
Probabilistic Joint Image Segmentation and Labeling by Figure-Ground Composition. Int. J. Comput. Vis. 107(1): 40-57 (2014) - [c20]Sara Vicente, João Carreira, Lourdes Agapito, Jorge Batista:
Reconstructing PASCAL VOC. CVPR 2014: 41-48 - [c19]Catalin Ionescu, João Carreira, Cristian Sminchisescu:
Iterated Second-Order Label Sensitive Pooling for 3D Human Pose Estimation. CVPR 2014: 1661-1668 - [c18]João Carreira, D. Varuna S. X. De Silva, Erhan Ekmekcioglu, Ahmet M. Kondoz, Pedro A. Amado Assunção, Sérgio M. M. Faria:
Dynamic motion vector refreshing for enhanced error resilience in HEVC. EUSIPCO 2014: 281-285 - [c17]João Carreira, Erhan Ekmekcioglu, Ahmet M. Kondoz, Pedro A. Amado Assunção, Sérgio M. M. Faria, D. Varuna S. X. De Silva:
Selective motion vector redundancies for improved error resilience in HEVC. ICIP 2014: 2457-2461 - [c16]Cristiano Premebida, João Carreira, Jorge Batista, Urbano Nunes:
Pedestrian detection combining RGB and dense LIDAR data. IROS 2014: 4112-4117 - [i3]Abhishek Kar, Shubham Tulsiani, João Carreira, Jitendra Malik:
Category-Specific Object Reconstruction from a Single Image. CoRR abs/1411.6069 (2014) - [i2]João Carreira, Abhishek Kar, Shubham Tulsiani, Jitendra Malik:
Virtual View Networks for Object Reconstruction. CoRR abs/1411.6091 (2014) - 2013
- [c15]Fuxin Li, João Carreira, Guy Lebanon, Cristian Sminchisescu:
Composite Statistical Inference for Semantic Segmentation. CVPR 2013: 3302-3309 - [c14]João F. Henriques, João Carreira, Rui Caseiro, Jorge Batista:
Beyond Hard Negative Mining: Efficient Detector Learning via Block-Circulant Decomposition. ICCV 2013: 2760-2767 - 2012
- [b1]João Carreira:
Bottom-up object segmentation for visual recognition. University of Bonn, 2012, pp. 1-96 - [j7]João Carreira, Fuxin Li, Cristian Sminchisescu:
Object Recognition by Sequential Figure-Ground Ranking. Int. J. Comput. Vis. 98(3): 243-262 (2012) - [j6]João Carreira, Cristian Sminchisescu:
CPMC: Automatic Object Segmentation Using Constrained Parametric Min-Cuts. IEEE Trans. Pattern Anal. Mach. Intell. 34(7): 1312-1328 (2012) - [c13]João Carreira, Pedro Assuncao, Nuno M. M. Rodrigues, Sérgio M. M. de Faria:
Frame loss concealment for 3D video decoders based on disparity-compensated motion field. 3DTV-Conference 2012: 1-4 - [c12]João Carreira, Rui Caseiro, Jorge P. Batista, Cristian Sminchisescu:
Semantic Segmentation with Second-Order Pooling. ECCV (7) 2012: 430-443 - 2011
- [c11]Adrian Ion, João Carreira, Cristian Sminchisescu:
Image segmentation by figure-ground composition into maximal cliques. ICCV 2011: 2110-2117 - [c10]Adrian Ion, João Carreira, Cristian Sminchisescu:
Probabilistic Joint Image Segmentation and Labeling. NIPS 2011: 1827-1835 - [c9]Luís Pinto, João Carreira, Sérgio M. M. de Faria, Nuno M. M. Rodrigues, Pedro A. Amado Assunção:
Subjective quality factors in packet 3D video. QoMEX 2011: 149-154 - 2010
- [c8]Fuxin Li, João Carreira, Cristian Sminchisescu:
Object recognition as ranking holistic figure-ground hypotheses. CVPR 2010: 1712-1719 - [c7]João Carreira, Cristian Sminchisescu:
Constrained parametric min-cuts for automatic object segmentation. CVPR 2010: 3241-3248 - [c6]João Carreira, Luís Pinto, Nuno M. M. Rodrigues, Sérgio M. M. de Faria, Pedro A. Amado Assunção:
Subjective assessment of frame loss concealment methods in 3D video. PCS 2010: 182-185 - [i1]João Carreira, Adrian Ion, Cristian Sminchisescu:
Image Segmentation by Discounted Cumulative Ranking on Maximal Cliques. CoRR abs/1009.4823 (2010)
2000 – 2009
- 2008
- [j5]Ricardo Mateus, J. Antunes Ferreira, João Carreira:
Multicriteria decision analysis (MCDA): Central Porto high-speed railway station. Eur. J. Oper. Res. 187(1): 1-18 (2008) - 2007
- [c5]João Carreira, Paulo Peixoto:
Retrieving and Exploiting Hand's Orientation in Tabletop Interaction. ICME 2007: 1003-1006 - 2006
- [j4]João Carreira, Paulo Peixoto:
Unraveling Natural Interfaces for Co-Located Groupware: Lessons Learned in an Experiment with Music. J. Multim. 1(5): 18-24 (2006) - [c4]João Carreira, Paulo Peixoto:
A Vision Based Interface for Local Collaborative Music Synthesis. FGR 2006: 591-596
1990 – 1999
- 1998
- [j3]João Carreira, João Gabriel Silva:
Computer Science and the Pygmalion Effect. Computer 31(2): 116-117 (1998) - [j2]João Carreira, João Gabriel Silva:
Why do some (weird) people inject faults? ACM SIGSOFT Softw. Eng. Notes 23(1): 42-43 (1998) - [j1]João Carreira, Henrique Madeira, João Gabriel Silva:
Xception: A Technique for the Experimental Evaluation of Dependability in Modern Computers. IEEE Trans. Software Eng. 24(2): 125-136 (1998) - 1997
- [c3]João Carreira, João Gabriel Silva, Koen Langendoen, Henri E. Bal:
Implementing Tuple Space with Threads. Euro-PDS 1997: 259-264 - 1996
- [c2]João Gabriel Silva, João Carreira, Henrique Madeira, Diamantino Costa, Francisco Moreira:
Experimental Assessment of Parallel Systems. FTCS 1996: 415-424 - 1995
- [c1]Alexandre Alves, Luís Moura Silva, João Carreira, João Gabriel Silva:
WPVM: parallel computing for the people. HPCN Europe 1995: 582-587