74 citations · 244 across the 19 of their papers we have counts for
19 papers
Dynamic Interpolation for Training-Time Prediction Reshaping in Low-Light Image Enhancement
Peirui Zhu, Shijie Hao, Jingxi Liao +2
Low-light image enhancement (LLIE) is an important image/video processing problem for reliable visual systems under poor illumination, yet it remains challenging due to the strong…
OccluRank: Controllable Occlusion-Aware Layout-to-Image Generation by Adding Just an Ordinal Rank
Wenyang Hong, Yuan Wang, Yanbin Hao +5
Layout-to-image generation enables explicit spatial control through bounding-box layouts, yet bounding boxes specify only instance locations and cannot represent their occlusion or…
Rationale-Guided Knowledge Distillation for Cross-Lingual Stance Detection
Qiuli Zhou, Jingyuan Yao, Shengeng Tang +3
Stance detection aims to identify whether a text expresses a favorable or opposing attitude toward a given target, and serves as an important task for various downstream applicatio…
Uni-AdaVD: Universal Concept Erasure for Visual Generation via Orthogonal Value Decomposition
Qifan Zhou, Yuan Wang, Yanbin Hao +4
Visual generative models inevitably absorb undesirable concepts from uncurated pretraining data, making concept erasure essential for safe deployment. Existing erasure methods, how…
Selective Mixup for Debiasing Question Selection in Computerized Adaptive Testing
Mi Tian, Kun Zhang, Fei Liu +6
Computerized Adaptive Testing (CAT) is a widely used technology for evaluating learners' proficiency in online education platforms. By leveraging prior estimates of proficiency to…
Dual-View Alignment Learning with Hierarchical-Prompt for Class-Imbalance Multi-Label Classification
Sheng Huang, Jiexuan Yan, Beiyan Liu +2
Real-world datasets often exhibit class imbalance across multiple categories, manifesting as long-tailed distributions and few-shot scenarios. This is especially challenging in Cla…
Align is not Enough: Multimodal Universal Jailbreak Attack against Multimodal Large Language Models
Youze Wang, Wenbo Hu, Yinpeng Dong +3
Large Language Models (LLMs) have evolved into Multimodal Large Language Models (MLLMs), significantly enhancing their capabilities by integrating visual information and other type…
Exploring Robust Face-Voice Matching in Multilingual Environments
Jiehui Tang, Xiaofei Wang, Zhen Xiao +3
This paper presents Team Xaiofei's innovative approach to exploring Face-Voice Association in Multilingual Environments (FAME) at ACM Multimedia 2024. We focus on the impact of dif…
Group Multi-View Transformer for 3D Shape Analysis with Spatial Encoding
Lixiang Xu, Qingzhe Cui, Richang Hong +5
In recent years, the results of view-based 3D shape recognition methods have saturated, and models with excellent performance cannot be deployed on memory-limited devices due to th…
From Static to Dynamic: Adapting Landmark-Aware Image Models for Facial Expression Recognition in Videos
Yin Chen, Jia Li, Shiguang Shan +2
Dynamic facial expression recognition (DFER) in the wild is still hindered by data limitations, e.g., insufficient quantity and diversity of pose, occlusion and illumination, as we…
Viewport Prediction for Volumetric Video Streaming by Exploring Video Saliency and Trajectory Information
Jie Li, Zhixin Li, Zhi Liu +4
Volumetric video, also known as hologram video, is a novel medium that portrays natural content in Virtual Reality (VR), Augmented Reality (AR), and Mixed Reality (MR). It is expec…
Boundary Discretization and Reliable Classification Network for Temporal Action Detection
Zhenying Fang, Jun Yu, Richang Hong
Temporal action detection aims to recognize the action category and determine each action instance's starting and ending time in untrimmed videos. The mixed methods have achieved r…
Embedded Heterogeneous Attention Transformer for Cross-lingual Image Captioning
Zijie Song, Zhenzhen Hu, Yuanen Zhou +3
Cross-lingual image captioning is a challenging task that requires addressing both cross-lingual and cross-modal obstacles in multimedia analysis. The crucial issue in this task is…
Read, Diagnose and Chat: Towards Explainable and Interactive LLMs-Augmented Depression Detection in Social Media
Wei Qin, Zetong Chen, Lei Wang +3
This paper proposes a new depression detection system based on LLMs that is both interpretable and interactive. It not only provides a diagnosis, but also diagnostic evidence and p…
LipFormer: Learning to Lipread Unseen Speakers based on Visual-Landmark Transformers
Feng Xue, Yu Li, Deyin Liu +3
Lipreading refers to understanding and further translating the speech of a speaker in the video into natural language. State-of-the-art lipreading methods excel in interpreting ove…
MEGCF: Multimodal Entity Graph Collaborative Filtering for Personalized Recommendation
Kang Liu, Feng Xue, Dan Guo +3
In most E-commerce platforms, whether the displayed items trigger the user's interest largely depends on their most eye-catching multimodal content. Consequently, increasing effort…
Joint Multi-grained Popularity-aware Graph Convolution Collaborative Filtering for Recommendation
Kang Liu, Feng Xue, Xiangnan He +2
Graph Convolution Networks (GCNs), with their efficient ability to capture high-order connectivity in graphs, have been widely applied in recommender systems. Stacking multiple nei…
A Topic-Attentive Transformer-based Model For Multimodal Depression Detection
Yanrong Guo, Chenyang Zhu, Shijie Hao +1
Depression is one of the most common mental disorders, which imposes heavy negative impacts on one's daily life. Diagnosing depression based on the interview is usually in the form…
Image Captioning via Compact Bidirectional Architecture
Zijie Song, Yuanen Zhou, Zhenzhen Hu +4
Most current image captioning models typically generate captions from left-to-right. This unidirectional property makes them can only leverage past context but not future context.…