Papers
Perceive More with Less: LiDAR Point Cloud Compression at Just Recognizable Distortion for 3D Scene Understanding
Miaohui Wang, Runnan Huang, Taojun Liu et al.
Emotion-Conditioned Motion Sub-spaces with Flow Matching for Real-Time Audio-Driven Talking Heads
Haoyu Wang, Xiaozhe Xin, Xiaoyu Qin et al.
Inferring Implicit Goals Across Differing Task Models
Silvia Tulli, Stylianos Loukas Vasileiou, Mohamed CHETOUANI et al.
Consensus-Driven Multi-Agent Cognitive Reasoning for Enhancing the Emotional Intelligence of Large Language Models
Geng Tu, Dingming Li, Jun Huang et al.
AutoGameUI: Constructing High-Fidelity GameUI via Multimodal Correspondence Matching
Zhongliang Tang, Qingrong Cheng, Mengchen Tan et al.
EEG-DLite: Dataset Distillation for Efficient Large EEG Model Training
Yuting Tang, Weibang Jiang, Shanglin Li et al.
Human-Centric Open-Future Task Discovery: Formulation, Benchmark, and Scalable Tree-Based Search
Zijian Song, Xiaoxin Lin, Tao Pu et al.
Reducing Goal State Divergence with Environment Design
Kelsey Sikes, Sarah Keren, Sarath Sreedharan
PINet: Improving the Stability of Prototype Networks via Phantasia-Inspired Uncertain Representations
Ho Kyung Shin, Soeun Bae, Sang Min Kim et al.
Treatment Stitching with Schrödinger Bridge for Enhancing Offline Reinforcement Learning in Adaptive Treatment Strategies
Dong-Hee Shin, Deok-Joong Lee, Young-Han Son et al.
Simulating Human-Like Counseling: A Path- and Scenario-Guided Framework for Psychological Support Dialogue
Yuanchen Shi, Longyin Zhang, Maodong Li et al.
TuningIQA: Fine-Grained Blind Image Quality Assessment for Livestreaming Camera Tuning
Xiangfei Sheng, Zhichao Duan, Xiaofeng Pan et al.
Towards Reinforcement Learning from Neural Feedback: Mapping fNIRS Signals to Agent Performance
Julia Santaniello, Matthew Russell, Benson Jiang et al.
Human Cognitive Biases in Explanation-based Interaction: The Case of Within and Between Session Order Effect
Dario Pesenti, Alessandro Bogani, Katya Tentori et al.
BiO-HMC: Dynamic Human-Machine Collaboration for Consensus Decision-Making via Bilevel Optimization
Yinghui Pan, Shuaijie Zhao, Shenbao Yu et al.
FGD-Align: Pluralistic Alignment for Large Language Models via Fuzzy Group Decision-Making
Weihang Pan, Zhengxu Yu, Yong Wu et al.
TRIPLE: Theory-Driven Integration of Planned and Habitual Behaviors for LLM-based Personalization
Taehyung Noh, Seungwan Jin, Haein Yeo et al.
BrainHGT: A Hierarchical Graph Transformer for Interpretable Brain Network Analysis
Jiajun Ma, Yongchao Zhang, Chao Zhang et al.
UI-R1: Enhancing Efficient Action Prediction of GUI Agents by Reinforcement Learning
Zhengxi Lu, Yuxiang Chai, Yaxuan Guo et al.
Gracefully Air-Written: Enhancing the Legibility and Style Consistency of In-Air Handwriting
Yu Liu, Cunrui Wang, Lin Feng et al.
MindCross: Fast New Subject Adaptation with Limited Data for Cross-subject Video Reconstruction from Brain Signals
Xuan-Hao Liu, Yan-Kai Liu, Tianyi Zhou et al.
Leveraging Visual Blur Perception Characteristics for EEG Decoding
Wenchao Liu, Hongwei Li, Zhouyang Xu et al.
Do Large Language Models Reason About Uncertainty Like Humans? A Benchmark on Hurricane Forecast Visualization Comprehension
Le Liu, Yuhao Wang, Bohan Shen et al.
Bridging Cognitive Gap: Hierarchical Description Learning for Artistic Image Aesthetics Assessment
Henglin Liu, Nisha Huang, Chang Liu et al.