activity
20212025
most citedContrast, Attend and Diffuse to Decode High-Resolution Images from Brain Activities

10 citations · 31 across the 18 of their papers we have counts for

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Showing 2024Show all

5 papers · 1 filter

cs.CV2024

Action-based image editing guided by human instructions

Maria Mihaela Trusca, Mingxiao Li, Marie-Francine Moens

Text-based image editing is typically approached as a static task that involves operations such as inserting, deleting, or modifying elements of an input image based on human instr…

cs.CV2024

TS-LLaVA: Constructing Visual Tokens through Thumbnail-and-Sampling for Training-Free Video Large Language Models

Tingyu Qu, Mingxiao Li, Tinne Tuytelaars +1

Recent advances in multimodal Large Language Models (LLMs) have shown great success in understanding multi-modal contents. For video understanding tasks, training-based video LLMs…

cs.CL2024

DMON: A Simple yet Effective Approach for Argument Structure Learning

Wei Sun, Mingxiao Li, Jingyuan Sun +2

Argument structure learning~(ASL) entails predicting relations between arguments. Because it can structure a document to facilitate its understanding, it has been widely applied in…

cs.CV2024

Animate Your Motion: Turning Still Images into Dynamic Videos

Mingxiao Li, Bo Wan, Marie-Francine Moens +1

In recent years, diffusion models have made remarkable strides in text-to-video generation, sparking a quest for enhanced control over video outputs to more accurately reflect user…

cs.CV2024

NeuroCine: Decoding Vivid Video Sequences from Human Brain Activties

Jingyuan Sun, Mingxiao Li, Zijiao Chen +1

In the pursuit to understand the intricacies of human brain's visual processing, reconstructing dynamic visual experiences from brain activities emerges as a challenging yet fascin…