Modality-agnostic attention fusion for visual search with text feedback E Dodds, J Culpepper, S Herdade, Y Zhang, K Boakye arXiv preprint arXiv:2007.00145, 2020 | 55 | 2020 |
Training and challenging models for text-guided fashion image retrieval E Dodds, J Culpepper, G Srivastava arXiv preprint arXiv:2204.11004, 2022 | 9 | 2022 |
On the sparse structure of natural sounds and natural images: Similarities, differences, and implications for neural coding EMV Dodds, MR DeWeese Frontiers in computational neuroscience 13, 39, 2019 | 8 | 2019 |
Learning embeddings for product visual search with triplet loss and online sampling E Dodds, H Nguyen, S Herdade, J Culpepper, A Kae, P Garrigues arXiv preprint arXiv:1810.04652, 2018 | 6 | 2018 |
Unifying margin-based softmax losses in face recognition Y Zhang, S Herdade, K Thadani, E Dodds, J Culpepper, YN Ku Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2023 | 4 | 2023 |
Spatial whitening in the retina may be necessary for v1 to learn a sparse representation of natural scenes EMV Dodds, JA Livezey, MR DeWeese BioRxiv, 776799, 2019 | 4 | 2019 |
System and method for generating video in target language P De Juan, AJ Shaw, EM Dodds, BJ Culpepper, KR Thadani, LV Kesiraju, ... US Patent App. 17/877,561, 2024 | | 2024 |
Combining vectors output by multiple different mechanisms for content item retrieval EMV Dodds, BJ Culpepper, G Srivastava US Patent App. 17/875,484, 2024 | | 2024 |
Product similarity detection and recommendation P De Juan, RKSS Agrawal, S Venkataramani, EMV Dodds, G Batra, ... US Patent App. 17/670,682, 2023 | | 2023 |
Statistical learning models of sensory processing and implications of biological constraints E Dodds University of California, Berkeley, 2018 | | 2018 |