disentangled representation

Anchoring the Affective Manifold: Learning Canonical and Disentangled Representations via Generative Cross-Modal Alignment ACL 2026 Being Positive about Negative Queries: Exclusion Aware Multimodal Retrieval using Disentangled Representations WACV 2026 Breaking the Generator Barrier: Disentangled Representation for Generalizable AI-Text Detection ACL 2026 Composite-Attribute Person Re-Identification via Pose-Guided Disentanglement CVPR 2026 Cross-Modal Emotion Transfer for Emotion Editing in Talking Face Video CVPR 2026 DiLO: Disentangled Latent Optimization for Learning Shape and Deformation in Grouped Deforming 3D Objects AAAI 2026 Disentangle and Regularize: Sign Language Production with Articulator-Based Disentanglement and Channel-Aware Regularization WACV 2026 Disentangled Generation-Based Prototypical Alignment for Few-Shot Unsupervised Domain Adaptation in Graph-Level Anomaly Detection AAAI 2026 Disentangling Dynamical Systems: Causal Representation Learning Meets Local Sparse Attention CLeaR 2026 DIST-CLIP: Arbitrary Metadata and Image Guided MRI Harmonization via Disentangled Anatomy-Contrast Representations MIDL 2026 DIVINE : Coordinating Multimodal Disentangled Representations for Oro-Facial Neurological Disorder Assessment EACL 2026 DMCAR: Disentangled Mixture-of-Experts with Context-Aware Routing for Multi-View Clustering AAAI 2026 DRFGD: Disentangled Representation-Focused Generative Defense for Attack-Tolerant Cross-Modal Hashing AAAI 2026 Explainable Disentangled Representation Learning for Generalizable Authorship Attribution in the Era of Generative AI ACL 2026 FAE-Net: Fashion Attribute Editing via Disentangled Latent Conditioning in Diffusion Models WACV 2026 From IDs to Semantics: A Generative Framework for Cross-Domain Recommendation with Adaptive Semantic Tokenization AAAI 2026 From Isolation to Entanglement: When Do Interpretability Methods Identify and Disentangle Known Concepts? ACL 2026 GAITGen: Disentangled Motion-Pathology Impaired Gait Generative Model -- Bringing Motion Generation to the Clinical Domain WACV 2026 I2CD: An Invertible Causal Framework for Compositional Zero-Shot Learning via Disentangle-Compose-Disentangle AAAI 2026 Intervening to learn and compose causally disentangled representations CLeaR 2026 Learning a Spatial Partitioning and its Causal Relations from Temporal Data CLeaR 2026 Learning Group Actions In Disentangled Latent Image Representations WACV 2026 Learning to Disentangle Latent Reasoning Rules with Language VAEs: A Systematic Study AAAI 2026 Learning to Tell Apart: Weakly Supervised Video Anomaly Detection via Disentangled Semantic Alignment AAAI 2026 Mitigating Simplicity Bias in OOD Detection through Object Co-occurrence Analysis CVPR 2026