2025 in visual storytelling

Explore some favorite visual stories of designers, developers and art directors from The Washington Post’s Design, Graphics ...
eLife

Human EEG and artificial neural networks reveal disentangled representations and processing timelines of object real-world size and depth in natural images

Neural and computational evidence reveals that real-world size is a temporally late, semantically grounded, and hierarchically stable dimension of object representation in both human brains and ...
GitHub

Don’t Blind Your VLA: Aligning Visual Representations for OOD Generalization

To address the degradation of visual-language (VL) representations during VLA supervised fine-tuning (SFT), we introduce Visual Representation Alignment. During SFT, we pull a VLA’s visual tokens ...
Microsoft

LLM2CLIP: Powerful Language Model Unlocks Richer Visual Representation

CLIP is one of the most important multimodal foundational models today. What powers CLIP’s capabilities? The rich supervision signals provided by natural language, the carrier of human knowledge, ...
Microsoft

LLM2CLIP: Powerful Language Model Unlocks Richer Visual Representation - Microsoft Research

CLIP is one of the most important multimodal foundational models today, aligning visual and textual signals into a shared feature space using a simple contrastive learning loss on large-scale ...
IEEE

Reconstructing Visual Stimulus Representation From EEG Signals Based on Deep Visual Representation Model

Abstract: Reconstructing visual stimulus representation is a significant task in neural decoding. Until now, most studies have considered functional magnetic resonance imaging (fMRI) as the signal ...
IEEE

Text-Guided Visual Representation Learning via Cross-Modal Fusion for Person Re-Identification

Abstract: Person Re-identification (Re-ID) aims at accurately querying pedestrians across multiple non-overlapping cameras system, playing an essential role in computer vision applications. While ...