Papers
SEED: Spectral Entropy-Guided Evaluation of Spatial-Temporal Dependencies for Multivariate Time Series Forecasting
Feng Xiong, Zongxia Xie, Yanru Sun et al.
Seeing and Knowing in the Wild: Open-domain Visual Entity Recognition with Large-scale Knowledge Graphs via Contrastive Learning
Hongkuan Zhou, Lavdim Halilaj, Sebastian Monka et al.
Seeing Beyond Illusion: Generalized and Efficient Mirror Detection
Mingfeng Zha, Guoqing Wang, Tianyu Li et al.
Seeing from Another Perspective: Evaluating Multi-View Understanding in MLLMs
Chun-Hsiao Yeh, Chenyu Wang, Shengbang Tong et al.
Seeing in Double: Dual-Granularity BEV Segmentation via Mamba-Driven Alignment and Polar-Decoupled Experts
Jiaxin Cai, Rui Lin, Jingze Su et al.
Seeing Is Believing: Grounding Long-Video Understanding in Spatio-Temporal Visual Evidence
Zhaoyang Wei, Guoliang Wang, Guohua Gao et al.
Seeing Is Believing: Rich-Context Hallucination Detection for MLLMs via Backward Visual Grounding
Pinxue Guo, Chongruo Wu, Xinyu Zhou et al.
Seeing the Unseen: Zooming in the Dark with Event Cameras
Dachun Kai, Zeyu Xiao, Huyue Zhu et al.
Seeing through the Conflict: Transparent Knowledge Conflict Handling in Retrieval-Augmented Generation
Hua Ye, Siyuan Chen, Ziqi Zhong et al.
Seeing Through the Rain: Resolving High-Frequency Conflicts in Deraining and Super-Resolution via Diffusion Guidance
Wenjie Li, Jinglei Shi, Jin Han et al.
SEFEL: A Simple Yet Effective Framework for Fast Event Linking
Yinan Liu, Ziyang Zhang, Bin Wang et al.
SegDINO3D: 3D Instance Segmentation Empowered by Both Image-Level and Object-Level 2D Features
Jinyuan Qu, Hongyang Li, Xingyu Chen et al.
SegMem-RAG: Adaptive Memory for Retrieval-Augmented Generation in Open-Ended Knowledge Environments
Xuanbo Fan, Tianqi Zhao, Yi Cheng et al.
Segment and Matte Anything in a Unified Model
Zezhong Fan, Xiaohan Li, Topojoy Biswas et al.
Segment Anything Across Shots: A Method and Benchmark
Hengrui Hu, Kaining Ying, Henghui Ding
SELDON: Supernova Explosions Learned by Deep ODE Networks
Jiezhong Wu, Jack O'Brien, Jennifer Li et al.
Selection of LLM Fine-Tuning Data Based on Orthogonal Rules
Xiaomin Li, Mingye Gao, Zhiwei Zhang et al.
Selective Diffusion Distillation for Real-World High-Scale Image Super-Resolution
Wenli Zheng, Huiyuan Fu, Zekai Xu et al.
Selective Weak-to-Strong Generalization
Hao Lang, Fei Huang, Yongbin Li
Self-Adaptive Graph Mixture of Models
Mohit Meena, Yash Punjabi, Abhishek A et al.
Self-Correction Distillation for Structured Data Question Answering
Yushan Zhu, Wen Zhang, Long Jin et al.
Self-Enhanced Image Clustering with Cross-Modal Semantic Consistency
Zihan Li, Wei Sun, Jing Hu et al.
Self-Guided Planning and Repair Framework for Code Generation (Student Abstract)
Chun-Wei Kang, Chung-Chi Chen, An-Zi Yen
Self-Improving Sparse Retrieval Through Heuristic Representation Refinement and Representation-Focused Learning
Xiaojing Li, Bin Wang, Xiaochun Yang et al.