activity
20192026
most citedDVMark: A Deep Multiscale Framework for Video Watermarking

10 citations · 29 across the 6 of their papers we have counts for

collaborators

7 papers

cs.CL2026

Muse Glimmer 30B: An On-Device Agentic Model

Arash Ebrahim Abtahizadeh, Muna Aghamelu, Adil Ahmed +327

We introduce Muse Glimmer, an open-source 30B parameter causal language model with perception encoder, purpose-built for autonomous agentic tasks on consumer hardware. Muse Glimmer…

cs.CV2023★ 9 cited

MaMMUT: A Simple Architecture for Joint Learning for MultiModal Tasks

Weicheng Kuo, AJ Piergiovanni, Dahun Kim +9

The development of language models have moved from encoder-decoder to decoder-only designs. In addition, we observe that the two most popular multimodal tasks, the generative and c…

cs.MM2022★ 2 cited

LECA: A Learned Approach for Efficient Cover-agnostic Watermarking

Xiyang Luo, Michael Goebel, Elnaz Barshan +1

In this work, we present an efficient multi-bit deep image watermarking method that is cover-agnostic yet also robust to geometric distortions such as translation and scaling as we…

cs.CV2021

Solving Image PDEs with a Shallow Network

Pascal Tom Getreuer, Peyman Milanfar, Xiyang Luo

Partial differential equations (PDEs) are typically used as models of physical processes but are also of great interest in PDE-based image processing. However, when it comes to the…

cs.MM2021★ 10 cited

DVMark: A Deep Multiscale Framework for Video Watermarking

Xiyang Luo, Yinxiao Li, Huiwen Chang +3

Video watermarking embeds a message into a cover video in an imperceptible manner, which can be retrieved even if the video undergoes certain modifications or distortions. Traditio…

cs.CV2021★ 4 cited

Deep 3D-to-2D Watermarking: Embedding Messages in 3D Meshes and Extracting Them from 2D Renderings

Innfarn Yoo, Huiwen Chang, Xiyang Luo +4

Digital watermarking is widely used for copyright protection. Traditional 3D watermarking approaches or commercial software are typically designed to embed messages into 3D meshes,…

cs.CV2019★ 4 cited

Restoring Images with Unknown Degradation Factors by Recurrent Use of a Multi-branch Network

Xing Liu, Masanori Suganuma, Xiyang Luo +1

The employment of convolutional neural networks has achieved unprecedented performance in the task of image restoration for a variety of degradation factors. However, high-performa…