10 citations · 24 across the 12 of their papers we have counts for
12 papers
LVSum: A Benchmark for Timestamp-Aware Long Video Summarization
Alkesh Patel, Melis Ozyildirim, Ying-Chang Cheng +1
Long video summarization presents significant challenges for multimodal large language models (MLLMs), particularly in maintaining temporal fidelity over extended durations and pro…
MAGA-Bench: Machine-Augment-Generated Text via Alignment Detection Benchmark
Anyang Song, Ying Cheng, Yiqian Xu +1
Machine-Generated Text (MGT) is becoming increasingly difficult to distinguish from Human-Written Text (HWT). This trend has exacerbated malicious activities such as fake news and…
FineMedLM-o1: Enhancing Medical Knowledge Reasoning Ability of LLM from Supervised Fine-Tuning to Test-Time Training
Hongzhou Yu, Tianhao Cheng, Yingwen Wang +6
Recent advancements in large language models (LLMs) have shown promise in medical applications such as disease diagnosis and treatment planning. However, most existing medical LLMs…
CT2C-QA: Multimodal Question Answering over Chinese Text, Table and Chart
Bowen Zhao, Tianhao Cheng, Yuejie Zhang +3
Multimodal Question Answering (MMQA) is crucial as it enables comprehensive understanding and accurate responses by integrating insights from diverse data representations such as t…
ADSNet: Cross-Domain LTV Prediction with an Adaptive Siamese Network in Advertising
Ruize Wang, Hui Xu, Ying Cheng +6
Advertising platforms have evolved in estimating Lifetime Value (LTV) to better align with advertisers' true performance metric. However, the sparsity of real-world LTV data presen…
IDEA: Increasing Text Diversity via Online Multi-Label Recognition for Vision-Language Pre-training
Xinyu Huang, Youcai Zhang, Ying Cheng +7
Vision-Language Pre-training (VLP) with large-scale image-text pairs has demonstrated superior performance in various fields. However, the image-text pairs co-occurrent on the Inte…
Modality-Aware Contrastive Instance Learning with Self-Distillation for Weakly-Supervised Audio-Visual Violence Detection
Jiashuo Yu, Jinyu Liu, Ying Cheng +2
Weakly-supervised audio-visual violence detection aims to distinguish snippets containing multimodal violence events with video-level labels. Many prior works perform audio-visual…
Learning Music-Dance Representations through Explicit-Implicit Rhythm Synchronization
Jiashuo Yu, Junfu Pu, Ying Cheng +2
Although audio-visual representation has been proved to be applicable in many downstream tasks, the representation of dancing videos, which is more specific and always accompanied…
Self-Supervised Video Representation Learning with Motion-Contrastive Perception
Jinyu Liu, Ying Cheng, Yuejie Zhang +2
Visual-only self-supervised learning has achieved significant improvement in video representation learning. Existing related methods encourage models to learn video representations…
MM-Pyramid: Multimodal Pyramid Attentional Network for Audio-Visual Event Localization and Video Parsing
Jiashuo Yu, Ying Cheng, Rui-Wei Zhao +2
Recognizing and localizing events in videos is a fundamental task for video understanding. Since events may occur in auditory and visual modalities, multimodal detailed perception…
Domain Adaptive Cascade R-CNN for MItosis DOmain Generalization (MIDOG) Challenge
Xi Long, Ying Cheng, Xiao Mu +2
We present a summary of the domain adaptive cascade R-CNN method for mitosis detection of digital histopathology images. By comprehensive data augmentation and adapting existing po…
MPN: Multimodal Parallel Network for Audio-Visual Event Localization
Jiashuo Yu, Ying Cheng, Rui Feng
Audio-visual event localization aims to localize an event that is both audible and visible in the wild, which is a widespread audio-visual scene analysis task for unconstrained vid…