Yong Li

DreamActor-M2: Universal Character Image Animation via Spatiotemporal In-Context Learning

Mingshuang Luo, Shuang Liang, Zhengkun Rong, Yuxuan Luo et autres

Character image animation aims to synthesize high-fidelity videos by transferring motion from a driving sequence to a static reference image. Despite recent advancements, existing methods suffer from two fundamental challenges: (1) suboptimal motion injection strategies that lead to a trade-off between identity …

cn (code pays fourni par la source)

Training-Free Controllable Text-Guided Video Editing

Yuanzhi Wang, Yong Li, Mengyi Liu, Xiaoya Zhang et autres

Decomposition-based text-guided video editing paradigm aims to utilize the layered neural atlas model to decompose the input video into foreground and background parts and edit the video in a divide-and-conquer manner, which is meaningful and improves the controllability of editing. However, they …

cn (code pays fourni par la source)

RGCDNet: Radiometric–Geometric Collaborative Learning for Change Detection in Remote Sensing

Xia Zhang, Jia Liu, Wenhua Zhang, Fang Liu et autres

In remote sensing change detection, dealing with the interference from pseudo changes such as those caused by illumination variations and geometric registration errors is a key challenge. Integrating physical characteristics of radiation and geometry into a deep network can help to reduce …

cn (code pays fourni par la source)

Location Matters: Frequency-Spatial Dual-Space Adaptation for Cross-Domain Few-Shot Segmentation

Jingyi Zhang, G Sun, Yong Li, Hongsong Wang et autres

Current cross-domain few-shot semantic segmentation (CD-FSS) methods tend to overlook a fundamental yet domain-agnostic prior: the spatial correspondence between support and query images driven by the task itself. Unlike semantic similarity, this spatial correlation arises from the consistent structural layout of foreground …

cn (code pays fourni par la source)

Two-stream attentive spatial-temporal graph convolutional network for P300 detection in brain-computer interface

Jincen Wang, Yan Zhao, Cunhang Fan, Yong Li et autres

cn (code pays fourni par la source)

MER 2025: When Affective Computing Meets Large Language Models

Zheng Lian, Rui Liu, Kele Xu, Bin Liu et autres

MER2025 is the third year of our MER series of challenges. Previously, MER2023 (http://merchallenge.cn/mer2023) focused on multi-label learning, noise robustness, and semi-supervised learning, while MER2024 (https://zeroqiaoba.github.io/MER2024-website) introduced a new track dedicated to open-vocabulary emotion recognition. This year, MER2025 centers on the theme …

cn, fi, sg, de (code pays fourni par la source)

Sera: Separated Coarse-to-fine Representation Alignment for Cross-subject EEG-based Emotion Recognition

Zhihao Jia, Meiyan Xu, Ziyu Jia, Yong Li et autres

Neuropsychology-inspired models have been utilized in recent advances in EEG emotion recognition, such as convolutional networks for spatial features and Transformers for temporal dependencies. While these methods benefit from domain knowledge like frequency-band features and spatial correlations, most overlook the fundamental fact …

cn, sg (code pays fourni par la source)

Re-Attentional Controllable Video Diffusion Editing

Yuanzhi Wang, Yong Li, Mengyi Liu, Xiaoya Zhang et autres

Editing videos with textual guidance has garnered popularity due to its streamlined process which mandates users to solely edit the text prompt corresponding to the source video. Recent studies have explored and exploited large-scale text-to-image diffusion models for text-guided video editing, resulting …

EmT: A Novel Transformer for Generalized Cross-Subject EEG Emotion Recognition

Yi Ding, Chengxuan Tong, Shuailei Zhang, Muyun Jiang et autres

Integrating prior knowledge of neurophysiology into neural network architecture enhances the performance of emotion decoding. While numerous techniques emphasize learning spatial and short-term temporal patterns, there has been a limited emphasis on capturing the vital long-term contextual information associated with emotional cognitive …

sg, cn (code pays fourni par la source)

Adaptive multi-UAV cooperative path planning based on novel rotation artificial potential fields

Huidong Liu, Xianlei Long, Yong Li, Jinjin Yan et autres

cn (code pays fourni par la source)

Distilling Generative-Discriminative Representations for Very Low-Resolution Face Recognition

Junzheng Zhang, Weijia Guo, Bochao Liu, Ruixin Shi et autres

Very low-resolution face recognition is challenging due to the serious loss of informative facial details in resolution degradation. Recent approaches based on knowledge distillation provide an effective solution by distilling knowledge from a well-trained teacher for high-resolution face recognition and transferring it …

cn (code pays fourni par la source)

Beyond Overfitting: Doubly Adaptive Dropout for Generalizable AU Detection

Yong Li, Yi Ren, Xuesong Niu, Yi Ding et autres

Facial Action Units (AUs) are essential for conveying psychological states and emotional expressions. While automatic AU detection systems leveraging deep learning have progressed, they often overfit to specific datasets and individual features, limiting their cross-domain applicability. To overcome these limitations, we propose …

cn, sg (code pays fourni par la source)