10 citations · 31 across the 18 of their papers we have counts for
19 papers
Mitigating Negative Interference in Multilingual Sequential Knowledge Editing through Null-Space Constraints
Wei Sun, Tingyu Qu, Mingxiao Li +2
Efficiently updating multilingual knowledge in large language models (LLMs), while preserving consistent factual representations across languages, remains a long-standing and unres…
Consistent Story Generation: Unlocking the Potential of Zigzag Sampling
Mingxiao Li, Mang Ning, Marie-Francine Moens
Text-to-image generation models have made significant progress in producing high-quality images from textual descriptions, yet they continue to struggle with maintaining subject co…
Towards More Accurate Personalized Image Generation: Addressing Overfitting and Evaluation Bias
Mingxiao Li, Tingyu Qu, Tinne Tuytelaars +1
Personalized image generation via text prompts has great potential to improve daily life and professional work by facilitating the creation of customized visual content. The aim of…
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…
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…
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…
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…
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…
Generating Explanations in Medical Question-Answering by Expectation Maximization Inference over Evidence
Wei Sun, Mingxiao Li, Damien Sileo +2
Medical Question Answering~(medical QA) systems play an essential role in assisting healthcare workers in finding answers to their questions. However, it is not sufficient to merel…
Decoding Realistic Images from Brain Activity with Contrastive Self-supervision and Latent Diffusion
Jingyuan Sun, Mingxiao Li, Marie-Francine Moens
Reconstructing visual stimuli from human brain activities provides a promising opportunity to advance our understanding of the brain's visual system and its connection with compute…
Contrast, Attend and Diffuse to Decode High-Resolution Images from Brain Activities
Jingyuan Sun, Mingxiao Li, Zijiao Chen +3
Decoding visual stimuli from neural responses recorded by functional Magnetic Resonance Imaging (fMRI) presents an intriguing intersection between cognitive neuroscience and machin…
Alleviating Exposure Bias in Diffusion Models through Sampling with Shifted Time Steps
Mingxiao Li, Tingyu Qu, Ruicong Yao +2
Diffusion Probabilistic Models (DPM) have shown remarkable efficacy in the synthesis of high-quality images. However, their inference process characteristically requires numerous,…
Crossword: A Semantic Approach to Data Compression via Masking
Mingxiao Li, Rui Jin, Liyao Xiang +2
The traditional methods for data compression are typically based on the symbol-level statistics, with the information source modeled as a long sequence of i.i.d. random variables o…
Layout-aware Dreamer for Embodied Referring Expression Grounding
Mingxiao Li, Zehao Wang, Tinne Tuytelaars +1
In this work, we study the problem of Embodied Referring Expression Grounding, where an agent needs to navigate in a previously unseen environment and localize a remote object desc…
Modeling Coreference Relations in Visual Dialog
Mingxiao Li, Marie-Francine Moens
Visual dialog is a vision-language task where an agent needs to answer a series of questions grounded in an image based on the understanding of the dialog history and the image. Th…
Dynamic Key-value Memory Enhanced Multi-step Graph Reasoning for Knowledge-based Visual Question Answering
Mingxiao Li, Marie-Francine Moens
Knowledge-based visual question answering (VQA) is a vision-language task that requires an agent to correctly answer image-related questions using knowledge that is not presented i…
Few-Sample Traffic Prediction with Graph Networks using Locale as Relational Inductive Biases
Mingxi Li, Yihong Tang, Wei Ma
Accurate short-term traffic prediction plays a pivotal role in various smart mobility operation and management systems. Currently, most of the state-of-the-art prediction models ar…
Find a Way Forward: a Language-Guided Semantic Map Navigator
Zehao Wang, Mingxiao Li, Minye Wu +2
In this paper, we introduce the map-language navigation task where an agent executes natural language instructions and moves to the target position based only on a given 3D semanti…
Towards Understanding Iterative Magnitude Pruning: Why Lottery Tickets Win
Jaron Maene, Mingxiao Li, Marie-Francine Moens
The lottery ticket hypothesis states that sparse subnetworks exist in randomly initialized dense networks that can be trained to the same accuracy as the dense network they reside…