Subash Khanal
7 papers · 2024–2026 · 3 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
(21)
Top co-authors
Research topics
Deep Learning
(6)
Learning Types · Deep Learning
(5)
Artificial Intelligence
(4)
Machine Learning
(4)
Computer Vision
(3)
Core Methods
(3)
Learning Types · Machine Learning
(3)
Analysis
(2)
Architectures
(2)
Core AI
(2)
Bayesian & Probabilistic
(1)
Domain-Specific
(1)
Learning Paradigms
(1)
Techniques
(1)
Keywords
cross-modal retrieval
(3)
contrastive learning
(2)
representation learning
(2)
vision transformer
(1)
embedding space
(1)
hierarchical classification
(1)
data augmentation
(1)
multimodal learning
(1)
fine-grained classification
(1)
remote sensing
(1)
distribution shift
(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)
Papers
ProM3E: Probabilistic Masked MultiModal Embedding Model for Ecology
CVPR 2026
PRUE: A Practical Recipe for Field Boundary Segmentation at Scale
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