Aayush Dhakal
7 papers · 2024–2026 · 4 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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Conference Polyglot · Bronze
🌉
Interdisciplinary Bridge · Bronze
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Taxonomy Completionist
(19)
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Hot Topic Early Bird
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Research topics
Keywords
cross-modal retrieval
(3)
contrastive learning
(2)
representation learning
(2)
embedding space
(1)
hierarchical classification
(1)
multimodal learning
(1)
fine-grained classification
(1)
distribution shift
(1)
mean squared error
(1)
probabilistic model
(1)
fine-grained visual classification
(1)
vision-language model
(1)
retrieval-augmented generation
(1)
linear probing
(1)
cross-modal embedding
(1)
masked autoencoder
(1)
species classification
(1)
partial order
(1)
multimodal embedding
(1)
masked image modeling
(1)
Papers
ProM3E: Probabilistic Masked MultiModal Embedding Model for Ecology
CVPR 2026
SimLBR: Learning to Detect Fake Images by Learning to Detect Real Images
CVPR 2026
Global and Local Entailment Learning for Natural World Imagery
ICCV 2025
RANGE: Retrieval Augmented Neural Fields for Multi-Resolution Geo-Embeddings
CVPR 2025
TaxaBind: A Unified Embedding Space for Ecological Applications
WACV 2025
BirdSAT: Cross-View Contrastive Masked Autoencoders for Bird Species Classification and Mapping
WACV 2024
FroSSL: Frobenius Norm Minimization for Efficient Multiview Self-Supervised Learning
ECCV 2024