Papers
Unifying Multi-View Knowledge for Graph Learning via Model Collaboration
Zhihao Wu, Jielong Lu, Zihan Fang et al.
UniHOI: Unified Human-Object Interaction Understanding via Unified Token Space
Panqi Yang, Haodong Jing, Nanning Zheng et al.
UniHR: Hierarchical Representation Learning for Unified Knowledge Graph Link Prediction
Zhiqiang Liu, Yin Hua, Mingyang Chen et al.
UniMapGen: A Generative Framework for Large-Scale Map Construction from Multi-modal Data
Yujian Yuan, Changjie Wu, Xinyuan Chang et al.
UniME-V2: MLLM-as-a-Judge for Universal Multimodal Embedding Learning
Tiancheng Gu, Kaicheng Yang, Kaichen Zhang et al.
UniMGS: Unifying Mesh and 3D Gaussian Splatting with Single-Pass Rasterization and Proxy-Based Deformation
Zeyu Xiao, Mingyang Sun, Yimin Cong et al.
UniMM-V2X: MoE-Enhanced Multi-Level Fusion for End-to-End Cooperative Autonomous Driving
Ziyi Song, Chen Xia, Chenbing Wang et al.
UniMo: Unified Motion Generation and Understanding with Chain of Thought
Guocun Wang, Kenkun Liu, Jing Lin et al.
Unintended Misalignment from Agentic Fine-Tuning: Risks and Mitigation
Dongyoon Hahm, Taywon Min, Woogyeol Jin et al.
UniScene-MoTion: Unified Scene & Motion-aware Diffusion Transition Framework
Rui Jiang, Chongmian Wang, Xinghe Fu et al.
UniSketch: A Unified Framework for Parametric Sketch Generation and Constraint Prediction
Jing Lin, Fazhi He, Rubin Fan
UniVarFL: Uniformity and Variance Regularized Federated Learning for Heterogeneous Data (Student Abstract)
Sunny Gupta, Nikita Jangid, Amit Sethi
Universal Adversarial Purification with DDIM Metric Loss for Stable Diffusion
Li Zheng, Liangbin Xie, Jiantao Zhou et al.
Universal Compressed Image Restoration via Codec-Aware Conditioning with Reinforcement Learning
Changwoo Han, Hongil Kim, Donghyun Kim et al.
Universal EEG Epilepsy Detection via Evidential Multi-View De-Biasing
Ziqi Wen, Cai Xu, Wanqing Zhao et al.
Universal Learning of Stochastic Dynamics for Exact Belief Propagation Using Bernstein Normalizing Flows
Peter Amorese, Morteza Lahijanian
Universal Safety Controllers with Learned Prophecies
Bernd Finkbeiner, Niklas Metzger, Satya Prakash Nayak et al.
Unlearning in Cross-Modal Retrieval via Prior-Prototype Guided Partitioned Dampening
Yi Lu, Shu Li, Yurong Qian
Unleashing Semantic and Geometric Priors for 3D Scene Completion
Shiyuan Chen, Wei Sui, Bohao Zhang et al.
Unleashing the Potential of Large Language Models for Text-to-Image Generation Through Autoregressive Representation Alignment
Xing Xie, Jiawei Liu, Ziyue Lin et al.
Unleashing the Power of Image-Tabular Self-Supervised Learning via Breaking Cross-Tabular Barriers
Yibing Fu, Yunpeng Zhao, Zhitao Zeng et al.
Unlocking Dynamic Inter-Client Spatial Dependencies: A Federated Spatio-temporal Graph Learning Method for Traffic Flow Forecasting
Feng Wang, Tianxiang Chen, Shuyue Wei et al.
Unlocking Efficient Vehicle Dynamics Modeling via Analytic World Models
Asen Nachkov, Danda Pani Paudel, Jan-Nico Zaech et al.
Unlocking Multi-Modal Potentials for Link Prediction on Dynamic Text-Attributed Graphs
Yuanyuan Xu, Wenjie Zhang, Ying Zhang et al.