Publications
Publications grouped by domain:
Computer Vision Neuroscience Cognitive Science2023 & Submitted
Pan, B., Panda, R., Jin, S., Feris, R., Oliva, A., Isola, P., & Kim, Y. (2023).
LangNav: Language as a Perceptual Representation for Navigation.
Submitted
arXiv Paper
Sun, X., Panda, R., Chen, C-F., Wang, N., Pan, B., Oliva, A., Rogerio, R., & Saenko, K. (2023).
Improved Techniques for Quantizing Deep Networks with Adaptive Bit-Widths.
In Press, IEEE/CVF Winter Conference on Applications of Computer Vision (WACV 2024)
arXiv Paper
Paper
Cascante-Bonilla, P., Shehada, K., Smith, J.S., Doveh, S., Kim, D., Panda, R., Varol, G., Oliva A., Ordonez, V., Feris, R., & Karlinsky, L. (2023).
Going Beyond Nouns With Vision & Language Models Using Synthetic Data.
The 19th International Conference on Computer Vision (ICCV 2023)
Paper
Supplementary Material
Website
News
Josephs, E., Fosco, C., & Oliva, A. (2024).
Effects of browsing conditions and visual alert design on human susceptibility to deepfakes.
Journal of Online Trust and Safety
arXiv Paper
Lahner, B., Dwivedi, K., Iamshchinina, P., Graumann, M., Lascelles, A.,
Roig, G., Gifford, A.T., Pan, B., Jin, S., Murty, N.A.R., Kay, K., Oliva†, A., & Cichy†, R.M. (2023).
BOLD Moments: modeling short visual events through a video fMRI dataset and metadata.
Submitted
bioRxiv Paper
Fosco, C., Jin, S., Josephs, E., & Oliva, A. (2023).
Leveraging Temporal Context in Low Representational Power Regimes.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2023), pp. 10693–10703
Paper
Supplementary Material
Website
Gifford, A.T., Lahner, B., Saba-Sadiya, S., Vilas, M.G., Lascelles, A., Oliva, A., Kay, K., Roig, G., & Cichy, R.M. (2023).
The Algonauts Project 2023 Challenge: How the Human Brain Makes Sense of Natural Scenes.
arXiv, 2301.03198.
arXiv Paper
Website
Tuckute*, G., Mahowald*, K., Isola, P., Oliva, A., Gibson, E., & Fedorenko, E. (2023).
Intrinsically memorable words have unique associations with their meanings.
Submitted
PsyArXiv Preprint
Mohsenzadeh*, Y., Lahner*, B., Mullin*, C., & Oliva, A. (2023).
Tracking the Spatio-Temporal Neural Trace of Visual Memorability.
Submitted
Fusion Video
2022
Kim, Y., Mishra, S., Jin, S., Panda, R., Kuehne, H., Karlinsky, L., Saligrama, V., Saenko, K., Oliva, A., & Feris, R. (2022).
How Transferable are Video Representations Based on Synthetic Data?
Conference on Neural Information Processing Systems (NeurIPS 2022) Datasets and Benchmarks Track, 35, 35710–35723
Paper
Supplementary Material
News
Fosco*, C., Josephs*, E., Andonian, A., Lee, A. , Wang, X. & Oliva, A. (2022).
Deepfake Caricatures: Amplifying attention to artifacts increases deepfake detection by humans and machines.
arXiv:2206.00535.
arXiv Paper
Website
Grauman, K. et al. (2022).
Ego4D: Around the World in 3,000 Hours of Egocentric Video.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2022), pp. 18995–19012
arXiv Paper
Paper
Website
Lowe*, M., Mohsenzadeh*, Y., Lahner, B., Charest, I., Oliva†, A., & Teng†, S. (2022).
Cochlea to categories: The spatiotemporal dynamics of semantic auditory representations.
Cognitive Neuropsychology, 38(7–8), 468–489.
Paper
Fusion Video
Webpage
2021
Pan, B., Jiang, Y., Panda, R., Wang, Z., Feris, R., & Oliva, A. (2021).
IA-RED²: Interpretability-Aware Redundancy Reduction for Vision Transformer.
Advances in Neural Information Processing Systems (NeurIPS 2021), 34, 24898-24911
arXiv Paper
Paper
Website
Bau*, D., Andonian*, A., Cui, A., Park, Y., Jahanian, A., Oliva, A., & Torralba, A. (2021).
Paint by Word.
arXiv, 2103.10951
arXiv Paper
Cichy, R.M., Dwivedi, K., Lahner, B., Lascelles, A., Iamshchinina, P., Graumann, M., Andonian, A., Murty, N.A.R., Kay, K., Roig, G., & Oliva A. (2021).
The Algonauts Project 2021 Challenge: How the Human Brain Makes Sense of a World in Motion.
arXiv, 2104.13714
arXiv Paper
Website
GitHub Code
Bylinskii, Z., Goetschalckx, L., Newman, A., & Oliva, A. (2021).
Memorability: An image-computable measure of information utility.
Chapter in Human Perception of Visual Information (pp. 207–239). Springer, Cham.
arXiv Paper
Monfort*, M., Jin*, S., Liu, A., Harwath, D., Feris, R., Glass, J., & Oliva, A. (2021).
Spoken Moments: Learning Joint Audio-Visual Representations from Video Descriptions.
IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2021), (pp. 14871-14881).
Paper
Supplementary Material
Website
Chen, C., Panda, R., Ramakrishnan, K., Feris, R., Cohn, J., Oliva, A., & Fan, Q. (2021).
Deep Analysis of CNN-based Spatio-temporal Representations for Action Recognition.
IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2021), (pp. 6165-6175).
arXiv Paper
Bylinskii, Z., Madan, S., Tancik, M., Recasens, A., Zhong, K., Alsheikh, S., Pfister, H.,
Oliva, A., & Durand, F. (2021).
Parsing and Summarizing Infographics with Synthetically Trained Icon Proposals.
In 2021 IEEE 14th Pacific Visualization Symposium (PacificVis), (pp. 31-40).
arXiv Paper
Website
Monfort, M., Ramakrishnan, K., Andonian, A., McNamara, B., Lascelles, A., Pan, B., Fan, Q., Gutfreund, D., Feris, R., & Oliva, A. (2021)
Multi-Moments in Time: Learning and Interpreting Models for Multi-Action Video Understanding.
IEEE Pattern Analysis and Machine Intelligence (PAMI), 44(12), 9434-9445.
arXiv Paper
Paper
Website
2020
Cichy, R.M. & Oliva, A. (2020).
A M/EEG-fMRI Fusion Primer: Resolving Human Brain Responses in Space and Time.
Neuron, 107(5), 772–781.
Paper
Andonian*, A., Fosco*, C, Monfort, M., Lee, A., Feris, R., Vondrick, C., & Oliva, A. (2020).
We Have So Much In Common: Modeling Semantic Relational Set Abstractions in Videos.
Proceedings of the 16th European Conference on Computer Vision (ECCV 2020)
arXiv Paper
Website
News
Meng, Y., Lin, C., Panda, R., Sattigeri, P., Karlinsky, L., Oliva, A. Saenko, K., & Feris, R. (2020).
AR-Net: Adaptive Frame Resolution for Efficient Action Recognition.
Proceedings of the 16th European Conference on Computer Vision (ECCV 2020)
arXiv Paper
Website
Monfort, M., Andonian, A., Zhou, B., Ramakrishnan, K., Adel Bargal, S., Yan, T., Brown, L.,
Fan, Q., Gutfreund, D., Vondrick, C., & Oliva, A. (2020). Moments in Time dataset:
one million videos for event understanding. IEEE Pattern Analysis and Machine
Intelligence (PAMI), 42(2), 502–508.Paper Website
Oliva, A. (2020). Computational Models of Human Object and
Scene Recognition.In The Cognitive Neurosciences, 6th Edition.
Edited by Gazzaniga et al. MIT Press (pp. 151–157). Paper
Amini, L., Chen, C.-H., Cox, D., Oliva, A., & Torralba, A. (2020). Experiences and Insights for Collaborative Industry-Academic Research in Artificial
Intelligence. AI Magazine. 41(1), 70–81.
Paper
Ramakrishnan, K., Panda, R., Fan, Q., Henning, J., Oliva, A. & Feris, R. (2020).
Relationship Matters: Relation Guided Knowledge Transfer for Incremental Learning of Object Detectors.
IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops
(CVPR-W 2020), Continual Learning in Computer Vision (CLVISION)
Paper
2019
Jaegle*, A., Mehrpour*, V., Mohsenzadeh*, Y., Meyer, T., Oliva, A., & Rust, N.
(2019). Population
response magnitude variation in inferotemporal cortex predicts image memorability.eLife, 8:e47596 Paper
Ramakrishnan*, K., Monfort*, M., McNamara, B., Lascelles, A., Gutfreund, D., Feris, R.,
& Oliva, A. (2019). Identifying Interpretable Action Units in
Deep Networks.IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2019) Workshop on Explainable AI.
Paper
Monfort, M., Ramakrishnan, K., McNamara, B., Lascelles, A., Gutfreund, D., Feris, R., & Oliva, A.
(2019). Examining
Interpretable Feature Relationships in Deep Networks for Action recognition.ICML 2019 Workshop Deep Phenomena.
Paper
Mohsenzadeh, Y., Mullin, C., Oliva, A., & Pantazis, D. (2019). The perceptual neural trace of memorable
unseen scenes. Scientific Reports, 9, 6033 Paper
2018
Zhou, B., Lapedriza, A., Khosla, A., Oliva, A., & Torralba, A. (2018). Places: A 10 million Image Database for
Scene Recognition.IEEE Transactions on Pattern Analysis and Machine Intelligence
(PAMI), 40(6), 1452–1464.PaperDemo Website Places CNN Models
Khaligh-Razavi, S.M., Cichy, R.M., Pantazis, D., & Oliva, A. (2018). Tracking the
spatiotemporal neural dynamics of object properties in the human brain. Journal of Cognitive Neuroscience, 30(11), 1559–1576.Paper
Singh, I., Oliva, A., & Howard, M.
Visual memories are stored along a compressed timeline.
Submitted manuscript.
bioRxiv Paper
Madan, S., Bylinskii, Z., Tancik, M., Recasens, A., Zhong, K., Alsheikh, S., Pfister, H., Oliva, A. & Durand, F. (2018).
Synthetically Trained Icon Proposals for Parsing and Summarizing Infographics.
arXiv, 1807.10441.
arXiv Paper
Website
2017
Bainbridge, W.A., Dilks, D., & Oliva, A. (2017). Memorability: A
Stimulus-Driven Perceptual Neural Signature Distinctive from Memory.
Neuroimage, 149, 141–152Paper Brain ROIs
Monfort, M., Johnson, M., Oliva, A., & Hofmann, K. (2017). Asynchronous Data Aggregation for Training Visual Navigation Networks. Lifelong Learning: A Reinforcement Learning Approach Workshop at ICML, Sydney,
Australia. Paper
Bylinskii, Z., Borkin, M.A., Kim, N.W., Pfister, H., & Oliva, A. (2017). Eye Fixation Metrics for Large Scale Evaluation and Comparison of Information
Visualizations. In Burch, M., Chuang, L., Fisher, B., Schmidt,
A., Weiskopf, D. (Eds.), Eye Tracking and Visualization: Foundations, Techniques, and Applications
(pp. 235–255). Springer International Publishing. Paper Website
Oliva, A., & Schyns, P.G. (2017). Hybrid Image Illusion. In The Oxford Compendium of Visual Illusions, Ed. Shapiro and Todorovic, Oxford
University Press, Chapter 111 (p 763–766). Paper
Bylinskii, Z.*, Alsheikh, S.*, Madan, S.*, Recasens, A.*, Zhong, K., Pfister, H., Durand,
F., & Oliva, A. (2017). Understanding Infographics through Textual and Visual Tag
Prediction. arXiv 1709.09215 arXiv Paper
Vo, M., Bylinskii, Z., & Oliva, A. (2017). Image Memorability in the
Eye of the Beholder: Tracking the Decay of Visual Scene Representations. BioRxiv:141044 2017 bioRxiv Paper
2016
Borkin*, A.M., Bylinskii*, Z., Kim, N.W., Bainbridge, C.M., Yeh, C.S., Borkin, D., Pfister,
H., & Oliva, A. (2016). Beyond Memorability: Visualization Recognition and
Recall. InfoVis 2015 IEEE Transactions on Visualization and Computer
Graphics, 22(1), 519–528.
Paper
Supplementary Material
Website
Video
News
Zhou, B., Khosla, A., Lapedriza , A., Oliva, A., & Torralba, A. (2016). Learning Deep Features for Discriminative Localization.
IEEE Conference on Computer Vision and Pattern Recogntion (CVPR), pp. 2921–2929. arXiv Paper Website
Bylinskii, Z., Recasens, A., Borji , A., Oliva, A., Torralba, A., & Durand, F. (2016).
Where should saliency models look next? Proceedings of the
European Conference in Computer Vision (ECCV), Amsterdam Paper Supplementary Material Poster
Oliva, A., & Teng, S. (2016). The Cognitive Society.In Handbook of Society and Technology Convergence (W.S Bainbridge and M. C. Roco, Eds),
Springer International Publishing Switzerland (pp 743–751).
Paper
2015
Vondrick, C, Pirsiavash, H., Oliva, A., & Torralba, A. (2015).
Learning Visual Biases from Human Imagination.Advances in Neural Information
Processing Systems (NIPS), 28.
Paper
Zhou, B., Khosla, A., Lapedriza , A., Oliva, A., & Torralba, A. (2015). Object Detectors emerge in Deep Scene CNNs .International
Conference on Learning Representations (ICLR 2015).
arXiv Paper
Slides
Visualization Places-CNN
Visualization ImageNet-CNN
Bylinskii, Z., Isola, P., Bainbridge, C.M., Torralba, A., & Oliva, A. (2015). Intrinsic and Extrinsic Effects on Image Memorability. Vision Research, 116, 165-178. Paper Supplementary Material Poster Website
Bainbridge, C. M., Bainbridge, W.A, & Oliva, A. (2015). Quadri-stability of a spatially ambiguous auditory illusion.Frontiers in Human Neuroscience. The Future of Perceptual Illusions : From
Phenomenology to Neuroscience. PaperSound file Continuous Sound
2014
Cichy, R.M., Pantazis , D., & Oliva, A. (2014). Resolving human
object recognition in space and time.Nature Neuroscience, 17(3),
455–464.
Paper
Supplementary Material
WebsiteNews
News
Isola, P., Xiao, J., Parikh, D, Torralba, A., & Oliva, A. (2014).
What makes a photograph memorable? IEEE Transactions on Pattern
Analysis and Machine Intelligence (PAMI), 36(7), 1469–1482.
Paper
Zhou, B., Liu, L., Oliva, A., & Torralba, A. (2014). Recognizing
City Identity via Attribute Analysis of Geo-tagged Images. Proceedings
of the 13th European Conference on Computer Vision (ECCV). Paper
2013
Oliva, A., Isola, P., Khosla, A., & Bainbridge, W.A. (2013). What
makes a picture memorable? SPIE Newsroom Article, 7 May 2013, DOI:
10.1117/2.1201304.004806
Paper
SPIE Website
Oliva, A. (2013). The Art of Hybrid Images: Two for the View of One.
Art & Perception, 1(1-2), 65-74.
Paper
Laprevote, V., Oliva, A., Ternois, A.S., Schwan, R., Thomas, P., & Boucart, M. (2013).
Low spatial frequency bias in schizophrenia is not face specific: when the integration
of coarse and fine information fails. Frontiers in Psychopathology,
4:248
Paper
Frontiers Website
Oliva, A. (2013). Scene Perception.
Chapter (51) in the New Visual Neurosciences. Eds John S. Werner and Leo. M. Chalupa (pp.
725–732)
Chapter
MacGregor, D., Baba, M., Oliva, A., McLaughlin, A.C., Scacchi, W., Scassellati, B., Rubin, P., Mason, R.M., & Spohrer, J.R. (2013).
Convergence Platforms: Human-Scale Convergence and the Quality of Life.
In Convergence of Knowledge, Technology and Society: Beyond Convergence of Nano-Bio-Info-Cognitive Technologies (M. C. Roco, W. S. Bainbridge, B. Tonn and G. Whitesides, Eds), Springer Publishing (pp. 53–93)
Chapter
Olds, J.L., MacGregor, D., Madou, M., McLaughlin, A., Oliva, A., Scassellati, B., & Wong, P. (2013).
Implications: Human Cognition and Communication and the Emergence of the Cognitive Society
In Convergence of Knowledge, Technology and Society: Beyond Convergence of Nano-Bio-Info-Cognitive Technologies (M. C. Roco, W. S. Bainbridge, B. Tonn and G. Whitesides, Eds), Springer Publishing (pp. 223–253)
Chapter
2012
Brady, T.F., & Oliva, A. (2012). Spatial Frequency Integration
During Active Perception: Perceptual Hysteresis When an Object Recedes.
Frontiers in Perception Science, 3:462.
Paper
Frontiers
Website
Khosla, A., Xiao, J., Isola, P., Torralba, A., & Oliva, A. (2021).
Image memorability and visual inception.
In SIGGRAPH Asia 2012 technical briefs, (pp. 1–4).
Paper
2011
Park, S., Brady, T.F., Greene, M.R., & Oliva, A. (2011). Disentangling scene content from its spatial boundary: Complementary roles for the
parahippocampal place area and lateral occipital complex in representing
real-world
scenes Journal of Neuroscience, 31(4), 1333–1340.
Paper
Konkle, T. & Oliva, A. (2011). Canonical visual size for real-world
objects. Journal of Experimental Psychology: Human Perception &
Performance, 37(1), 23.
Paper
Stimuli Download
Gagnier, K.M., Intraub, H., Oliva, A., & Wolfe, J. (2011). Why Does
Vantage Point Affect Boundary Extension? Visual Cognition, 19:2, 234–257.
Paper
Oliva, A., Park, S., & Konkle, T. (2011). Representing, perceiving
and remembering the shape of visual space. In L.R. Harris and M. Jenkin
(Eds.), Vision in 3D Environments. Cambridge: Cambridge University Press (pp 308–339).
Chapter
2010
Greene, M.R. & Oliva, A. (2010). High-Level Aftereffects to Global
Scene Properties. Journal of Experimental Psychology: Human Perception
& Performance, 36(6), 1430–1442.
Paper
Hidalgo-Sotelo, B. & Oliva, A. (2010). Person, place, and past
influence eye movements during visual search. In S. Ohlsson & R.
Catrambone (Eds.), Proceedings of the 32nd Annual Conference of the Cognitive Science Society (CSS), (pp.
820–825). Austin, TX: Cognitive Science Society.
Paper
Laprevote, V., Oliva, A., Delerue, C., Thomas, P., & Boucart, M. (2010). Patients
with schizophrenia are biased toward low spatial frequency to decode facial expression at a glance.
Neuropsychologia, 48, 4164–4168.
Paper
Oliva, A. (2010). Seeing and Thinking in the Mist (Book review of the
Invisible Gorilla). Science, 329, 1017. Paper
Oliva, A. (2010).
Understanding the Physics of the Mind: a proposal for a Perceptual Science Initiative.
White paper submitted to the National Science Foundation SBE 2020.
Paper
2009
Greene, M.R., & Oliva, A. (2009). The briefest of glances: the time
course of natural scene understanding. Psychological Science, 20
(4), 464–472.
Paper
Greene, M.R., & Oliva, A. (2009). Recognition of Natural Scenes from
Global Properties: Seeing the Forest Without Representing the Trees.
Cognitive Psychology, 58(2), 137–179.
Paper
Brady, T.F., Konkle, T., Oliva, A., & Alvarez, G. A. (2009).
Detecting changes in real-world objects: The relationship between visual long-term memory and change
blindness. Communicative & Integrative Biology 2(1), 1–3.
Paper
Alvarez, G.A., & Oliva, A. (2009). Spatial Ensemble Statistics are
Efficient Codes that Can be Represented with Reduced Attention.
Proceedings of the National Academy of Sciences, 106, 7345–7350.
Paper
Oliva, A. (2009). Visual Scene Perception.
In Encyclopaedia of Perception, Ed: Bruce Goldstein. Sage Edition.
Paper
2008
Alvarez, G.A., & Oliva, A. (2008). The Representation of Simple
Ensemble Visual Features Outside the Focus of Attention. Psychological
Science, 19(4), 392–398.
Paper
Boucart, M., Dinon, J.F., Despretz, P., Desmettre, T., Hladiuk, K., & Oliva, A.
(2008). Recognition of facial emotion in low vision: A flexible usage of facial
features. Visual Neuroscience, 25(4), 603–609.
Paper
2007
Oliva, A. & Torralba, A. (2007). The Role of Context in Object
Recognition. Trends in Cognitive Sciences, 11(12), 520–527.
Paper
Alvarez, G. A, Konkle, T., & Oliva, A. (2007). Searching in Dynamic
Displays: Effects of Configural and Spatiotemporal Predictability. Journal of Vision, 7(14), 12-12.
Paper
Konkle, T., & Oliva, A. (2007). Normative representation of objects:
evidence for an ecological bias in object perception and memory. In D.S.
McNamara & J. G. Trafton (Eds.). Proceedings of the 29th Annual Conference of the Cognitive
Science Society (CSS), (p 407–412), Nashville, TN: Cognitive Science Society 2007.
Paper
Alvarez, G., & Oliva, A. (2007). The Role of Global Layout in Visual
Short-term Memory. Visual Cognition, 15(1), 70–73.
Paper
2006
Oliva, A. & Torralba, A. (2006). Building the Gist of a Scene: The
Role of Global Image Features in Recognition. Progress in Brain Research:
Visual perception, 155, 23–36.
Paper
2005
Goffaux, V., Jacques, C., Mouraux, A., Oliva, A., Rossion, B., & Schyns. P.G. (2005).
Diagnostic colors contribute to early stages of scene categorization: behavioral and
neurophysiological evidences. Visual Cognition, 12, 878–892.
Paper
Oliva, A. (2005). Gist of the scene. In the
Encyclopedia of Neurobiology of Attention. L. Itti, G. Rees, and J.K. Tsotsos (Eds.), Elsevier, San Diego,
CA (pages 251–256).Paper
Hidalgo-Sotelo, B., Oliva, A., & Torralba, A. (2005). Human Learning
of Contextual Priors for Object Search: Where does the time go? Proceedings of
the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Workshops -
vol. 3, p86–86.Paper
Selected Publications Before 2004
Oliva, A., Mack, M., Shrestha, M., & Peeper, A. (2004).
Identifying the Perceptual Dimensions of Visual Complexity of Scenes.
Proceedings of the Annual Meeting of the Cognitive Science Society (CSS), 26 (26)
Paper
Oliva, A., Wolfe, J. M, & Arsenio, H. (2004). Panoramic Search: The
interaction of Memory and Vision in Search through a Familiar Scene. Journal
of Experimental Psychology: Human Perception and Performance, 30, 1132–1146.
Paper
Torralba, A., & Oliva, A. (2003). Statistics of Natural Images
Categories.Network: Computation in Neural Systems, 14, 391–412.
Paper
Oliva, A., Torralba, A. Casthelano, M., & Henderson, J. (2003). Top-Down control of visual attention in object detection.
Proceeding of the IEEE International Conference Image Processing, vol1 (pp 253–256).Paper
Torralba, A., & Oliva, A. (2002). Depth estimation from image
structure. IEEE Pattern Analysis and Machine Intelligence (PAMI),
24, 1226–1238.
Paper
Oliva, A., & Torralba, A. (2002). Scene-centered description from
spatial envelope properties. Lecture Note in Computer Science Serie Proc.
Second International Workshop on Biologically Motivated Computer Vision, Eds: H. Bulthoff, S.W.
Lee, T. Poggio, & C. Wallraven. Srpinger-Verlag, Tuebingen, Germany (pp.263–272).Paper
Oliva, A., & Schyns, P.G. (2000).
Diagnostic colors mediate scene recognition.
Cognitive Psychology, 41, 176–210.
Paper
Guérin-Dugué, A., & Oliva, A. (2000).
Classification of scene photographs from local orientations features.
Pattern Recognition Letters, 21 (13–14), 1135–1140.
Paper
Schyns, P.G. & Oliva, A. (1999). Dr. Angry and Mr. Smile: when
categorization flexibly modifies the perception of faces in rapid visual presentations. Cognition, 69, 243–265.
Paper
Torralba, A. & Oliva, A. (1999).
Semantic organization of scenes using discriminant structural templates.
Proceedings of the Seventh IEEE International Conference on Computer Vision, Vol. 2, pp. 1253–1258.
Paper
Oliva, A., Torralba, A., Guérin-Dugué, A., & Hérault, J. (1999).
Global semantic classification of scenes using power spectrum templates.
In Challenge of image retrieval, pp. 1–11.
Paper
Oliva, A. & Schyns, P.G. (1997). Coarse blobs or fine edges?
Evidence that information diagnosticity changes the perception of complex visual stimuli. Cognitive Psychology, 34, 72–107.
Paper
Schyns, P.G. & Oliva, A. (1997). Flexible, diagnostically-driven,
rather than fixed, perceptually determined scale selection in scene and face recognition. Perception, 26, 1027–1038.
Hérault, J., Oliva, A., & Guérin-Dugué, A. (1997).
Scene categorisation by curvilinear component analysis of low frequency spectra.
In ESANN'97: European symposium on artificial neural networks, pp. 91–96.
Paper
Oliva, A., & Schyns, P. G. (1995).
Mandatory scale perception promotes flexible scene categorization.
In Proceedings of the XVII Meeting of the Cognitive Science Society, pp. 159–163.
Schyns, P.G. & Oliva, A. (1994). From blobs to boundary edges:
Evidence for time- and spatial-scale-dependent scene recognition.
Psychological Science, 5, 195–200.
Paper
Habib, M., Gayraud, D., Oliva, A., Regis, J., Salamon, G., & Khalil, R. (1991).
Effects of handedness and sex on the morphology of the corpus callosum: A study with brain magnetic resonance imaging
Brain and cognition, 16(1), 41–61.
Paper
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