Publication
Learning Scene Gist with Convolutional Neural Networks to Improve Object Recognition. arXiv | Cornell University arXiv:1803.01967, (2018).
Inferring Beliefs and Desires From Emotional Reactions to Anticipated and Observed Events. Child Development (2017). doi:10.1111/cdev.12759
Wu_et_al-2017-Child_Development.pdf (883.1 KB)
The invisible hand: Toddlers connect probabilistic events with agentive causes. Cognitive Science 40, 23 (2016).
Wu_Muentener_Schulz_2016_InvisibleHand.pdf (307.21 KB)
A fine-grained understanding of emotions: Young children match within-valence emotional expressions to their causes. Cognitive Science Conference (CogSci) 2685-2690 (2015).
Cogsci Emotion pairings 2-4-15 Final version.pdf (729.07 KB)
Infants and toddlers leverage their understanding of action goals to evaluate agents who help others. Child Development (2023). doi:10.1111/cdev.13895
Eight-Month-Old Infants’ Social Evaluations of Agents Who Act on False Beliefs. Proceedings of the Annual Meeting of the Cognitive Science Society 44, (2022).
One Shot Learning via Compositions of Meaningful Patches. International Conference on Computer Vision (ICCV) (2015).
AlexWongOneShotCVPR2015.pdf (1.83 MB)
One Shot Learning by Composition of Meaningful Patches. International Conference on Computer Vision (ICCV) (2015).
AlexWongOneShotCVPR2015.pdf (1.83 MB)
Artificial intelligence insights into hippocampal processing. Frontiers in Computational Neuroscience 16, (2022).
Character-building stories. Advances in Cognitive Systems (2017).
. Marvin L. Minsky (1927–2016) Scientist and inventor was a visionary founder of AI. (2016).
Marvin L. Minsky (1927–2016) Scientist and inventor was a visionary founder of AI.pdf (559.42 KB)
. The Genesis Story Understanding and Story Telling System A 21st Century Step toward Artificial Intelligence. (2014).
CBMM-Memo-019_StoryWhitePaper.pdf (894.38 KB)
. Model-based Story Summary. 6th Workshop on Computational Models of Narrative (2015). doi:10.4230/OASIcs.CMN.2015.157
Localized task-invariant emotional valence encoding revealed by intracranial recordingsAbstract. Social Cognitive and Affective Neuroscience (2021). doi:10.1093/scan/nsab134
A Geometric Analysis of Deep Generative Image Models and Its Applications. Proc. International Conference on Learning Representations, 2021 (2021).
Mesoscopic physiological interactions in the human brain reveal small-world properties. Cell Reports 36, 109585 (2021).
On the use of Cortical Magnification and Saccades as Biological Proxies for Data Augmentation. Shared Visual Representations in Human and Machine Intelligence (SVRHM) Workshop at NeurIPS (2021). at <https://openreview.net/forum?id=Rpazl253IHb>
Detecting Semantic Parts on Partially Occluded Objects. British Machine Vision Conference (BMVC) (2017). at <https://bmvc2017.london/proceedings/>
Visual concepts and compositional voting. (2018).
CBMM-Memo-087.pdf (3.37 MB)
Visual Concepts and Compositional Voting. Annals of Mathematical Sciences and Applications (AMSA) 3, 151–188 (2018).
BrainBERT: Self-supervised representation learning for Intracranial Electrodes. International Conference on Learning Representations (2023). at <https://openreview.net/forum?id=xmcYx_reUn6>
985_brainbert_self_supervised_repr.pdf (9.71 MB)
Semantic Part Segmentation using Compositional Model combing Shape and Appearance. CVPR (2015).
JianyuWangSemanticCVPR2015 (1).pdf (6.15 MB)
Scene Graph Parsing as Dependency Parsing. (2018).
CBMM-Memo-082.pdf (869 KB)
Robust Estimation of 3D Human Poses from a Single Image. (2014).
CBMM-Memo-013.pdf (510.23 KB)
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