The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.
Object recognition and segmentation by a fragment-based hierarchy
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Turk, M., & Pentland, A. (1991) · Journal of Cognitive Neuroscience · doi:10.1162/jocn.1991.3.1.71 · Cited by 13,733
An Information-Maximization Approach to Blind Separation and Blind Deconvolution
Bell, A. J., & Sejnowski, T. J. (1995) · Neural Computation · doi:10.1162/neco.1995.7.6.1129 · Cited by 8,986
Hierarchical models of object recognition in cortex
Riesenhuber, M., & Poggio, T. (1999) · Nature Neuroscience · doi:10.1038/14819 · Cited by 3,309
Shape representation in the inferior temporal cortex of monkeys
Logothetis, N. K., Pauls, J., & Poggio, T. (1995) · Current Biology · doi:10.1016/s0960-9822(95)00108-4 · Cited by 963
Learning invariance from transformation sequences
Földiák, P. (1991) · Neural Computation · doi:10.1162/neco.1991.3.2.194 · Cited by 661
Visual features of intermediate complexity and their use in classification
Ullman, S., Vidal-Naquet, M., & Sali, E. (2002) · Nature Neuroscience · doi:10.1038/nn870 · Cited by 600
Self-citationTwo distinct modes of sensory processing observed in monkey primary visual cortex (V1)
Supèr, H., Spekreijse, H., & Lamme, V. A. F. (2001) · Nature Neuroscience · doi:10.1038/85170 · Cited by 467
Impact of learning on representation of parts and wholes in monkey inferotemporal cortex
Baker, C. I., Behrmann, M., & Olson, C. R. (2002) · Nature Neuroscience · doi:10.1038/nn960 · Cited by 293
Cited by
Top-down influences on visual processing
Gilbert, C. D., & Li, W. (2013) · Nature Reviews Neuroscience · doi:10.1038/nrn3476 · Cited by 1,224
A review of visual memory capacity: Beyond individual items and toward structured representations
Brady, T. F., Konkle, T., & Alvarez, G. A. (2011) · Journal of Vision · doi:10.1167/11.5.4 · Cited by 556
Brain Lateralization: A Comparative Perspective
Güntürkün, O., Ströckens, F., & Ocklenburg, S. (2020) · Physiological Reviews · doi:10.1152/physrev.00006.2019 · Cited by 484
Patches with Links: A Unified System for Processing Faces in the Macaque Temporal Lobe
Moeller, S., Freiwald, W. A., & Tsao, D. Y. (2008) · Science · doi:10.1126/science.1157436 · Cited by 403
Dehaene-Lambertz, G., Monzalvo, K., & Dehaene, S. (2018) · PLOS Biology · doi:10.1371/journal.pbio.2004103 · Cited by 367
Metadata
- Authors
- Ullman, S.
- Venue
- Trends in Cognitive Sciences
- Publisher
- Elsevier BV
- Published
- 2007-02
- Volume
- 11
- Issue
- 2
- Pages
- 58-64
- ISSN
- 1364-6613 (ISSN-L)
- OpenAlex
- W2141790984
- Cited by
- 225
- References
- 8
- FWCI
- 17.02
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Object recognition and segmentation by a fragment-based hierarchy. https://app.cochat.ai/papers/10.1016/j.tics.2006.11.009
- The paper
- Ullman, S. (2007). Object recognition and segmentation by a fragment-based hierarchy. Trends in Cognitive Sciences. https://doi.org/10.1016/j.tics.2006.11.009
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
