…A unified feature pipeline enables consistent alignment across video trajectories, acoustic signatures, and chart-derived measurements, allowing EMMA to estimate parameters under forced, implicit, and multivariate dynamics without requiring segmentation masks, differentiable…
…Crucially, beyond its conventional role of manifold lifting (i.e., moving data off low-dimensional manifolds), injecting Gaussian noise facilitates domain harmonization by implicitly aligning feature distributions across domains, a property particularly…
…RigidFormer reasons at the object level and advances each object through compact anchors; Anchor-Vertex Pooling enriches these anchors with local vertex features, retaining contact-relevant geometry without dense vertex-level interaction…
…Sanghyun Jo , , , , , , Abstract Group Prompting enables efficient cell instance segmentation by leveraging per-type prompting through a training-free framework that uses multi-scale encoder features and recursive prompt expansion. Generated by…
…Flow-based Activation Steering for Inference-Time Intervention (2026) Steered Generation via Gradient-Based Optimization on Sparse Query Features (2026) Steer Like the LLM: Activation Steering that Mimics Prompting (2026) FineSteer: A…
…However, how to effectively learn both discriminative and comprehensive feature representations while maintaining stability and plasticity over very long task sequences remains an open problem. We propose CaRE, a scalable {C}ontinual…
…To further exploit the multi-granularity memory representations produced by HMM, we introduce MemStack , a method that distributes different levels of memory features across the early layers of the decoder without introducing…
…View arXiv page View PDF Add to collection Community Many real-world prediction problems combine structured features with text or images: clinical records with X-rays, real-estate metadata with street-view…
…Visual Feature Conditioning for Diffusion-Based Super-Resolution (2026) CPC-VAR:Continual Personalized and Compositional Generation in Visual Autoregressive Models (2026) Please give a thumbs up to this comment if you found…
…Yet existing detectors based on pre-trained feature extractors tend to over-rely on global semantics , limiting sensitivity to the critical micro-defects . In this work, we propose Micro-Defects expose Macro…