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 ...

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 ...

Recently the state space models (SSMs) with efficient hardware-aware designs, i.e., Mamba, have shown great potential for long sequence modeling. Building efficient and generic vision backbones purely ...

Summary: Researchers discovered how the brain develops reliable visual processing once the eyes open. Early on, visual inputs and modular brain responses are mismatched, creating inconsistent patterns ...

A static visual representation. Examples include paintings, drawings, graphic designs, plans and maps. Recommended best practice is to assign the type Text to images of textual materials. Columbia ...

Mathematics Natural Science and Technology Education, University of the Free State, Bloemfontein, South Africa Due to the freedom afforded natural sciences textbook authors globally and in South ...

Autoregressive visual generation models have emerged as a groundbreaking approach to image synthesis, drawing inspiration from language model token prediction mechanisms. These innovative models ...

The queer horror landscape was pretty desolate in the ‘80s. I say that from years of experience poring through representation in horror cinema for a book I co-edited called Queer Horror: A Film Guide.

This research paper delves into the profound impact of visual effects (VFX) on the cinema experience, aiming to provide a comprehensive analysis that bridges the gap between technological advancements ...

Not revised: This Reviewed Preprint includes the authors’ original preprint (without revision), an eLife assessment, and public reviews. The manuscript uses large-scale existing datasets that span ...

Abstract: The open-loop grasp planner, which relies on vision, is prone to failure caused by calibration errors, visual occlusions, and other factors. Additionally, it cannot adapt the grasp pose and ...