Papers
Group Fair Matchings Using Convex Cost Functions
Atasi Panda, Harsh Sharma, Anand Louis et al.
Group Orthogonal Low-Rank Adaptation for RGB-T Tracking
Zekai Shao, Yufan Hu, Jingyuan Liu et al.
GroupPortrait: Multi-ID Portrait Generation with High Identity Preservation and Fine-Grained Control
Meijia Huang, Ruida Li, Bing Ma et al.
GROVER: Graph-guided Representation of Omics and Vision with Expert Regulation for Adaptive Spatial Multi-omics Fusion
Yongjun Xiao, Dian Meng, Xinlei Huang et al.
Grow-on-Demand: Sparse and Adaptive Expert Expansion for Continual Instruction Tuning
Ying Zhang, Xingyue Guo, Yu Zhao et al.
GrowTAS: Progressive Expansion from Small to Large Subnets for Efficient ViT Architecture Search
Hyunju Lee, Youngmin Oh, Jeimin Jeon et al.
GSAG-CDGAN: A Generalizable Small-Sample Attention-Guided GAN for Remote Sensing Change Detection (Student Abstract)
Ruteng Yu, Lukun Wang, Jiaming Pei
GSAP-ERE: Fine-Grained Scholarly Entity and Relation Extraction Focused on Machine Learning
Wolfgang Otto, Lu Gan, Sharmila Upadhyaya et al.
GS-Checker: Tampering Localization for 3D Gaussian Splatting
Haoliang Han, Ziyuan Luo, Jun Qi et al.
GT2-GS: Geometry-aware Texture Transfer for Gaussian Splatting
Wenjie Liu, Zhongliang Liu, Junwei Shu et al.
GT-SNT: A Linear-Time Transformer for Large-Scale Graphs via Spiking Node Tokenization
Huizhe Zhang, Jintang Li, Yuchang Zhu et al.
Guarding Digital Identity: Attention-Guided Fusion for Detecting Forged ID Documents (Student Abstract)
Gargi Surendra Yeole, Poulomi Bhattacharya, Akshay Agarwal
G-UBS: Towards Robust Understanding of Implicit Feedback via Group-Aware User Behavior Simulation
Boyu Chen, Siran Chen, Zhengrong Yue et al.
Guess or Recall? Training CNNs to Classify and Localize Memorization in LLMs
Jérémie Dentan, Davide Buscaldi, Sonia Vanier
GUIC: Certified Graph Unlearning with Individual Fairness Guarantees
Zichong Wang, Tongliang Liu, Wenbin Zhang
Guided by the Plan: Enhancing Faithful Autoregressive Text-to-Audio Generation with Guided Decoding
Juncheng Wang, Zhe Hu, Chao Xu et al.
Guided Distillation and Risk Adaptive Evolution for Multi-Robot Navigation
Xuyang Li, Jianwu Fang, Lin Li et al.
Guided Latent Spaces for Controllable Multi-Scenario Generation in Autonomous Driving (Student Abstract)
Manasa Mariam Mammen, Zafer Kayatas, Stefan Wagner
Guided Model Merging for Hybrid Data Learning: Leveraging Centralized Data to Refine Decentralized Models
Junyi Zhu, Ruicong Yao, Taha Ceritli et al.
Guided Perturbation Sensitivity (GPS): Detecting Adversarial Text via Embedding Stability and Word Importance
Bryan E. Tuck, Rakesh M. Verma
Guided Texture Segmentation via Coordinate-Aware Class-Ratio Mapping
Bishal Ranjan Swain, Kyung Joo Cheoi, Jaepil Ko
GUIDE: Gaussian Unified Instance Detection for Enhanced Obstacle Perception in Autonomous Driving
Chunyong Hu, Qi Luo, Jianyun Xu et al.
GuideGen: A Text-Guided Framework for Paired Full-torso Anatomy and CT Volume Generation
Linrui Dai, Rongzhao Zhang, Yongrui Yu et al.
Guideline-Consistent Segmentation via Multi-Agent Refinement
Vanshika Vats, Ashwani Rathee, James Davis
GUIDER: Uncertainty Guided Dynamic Re-ranking for Large Language Models Based Recommender Systems
Cai Xu, Xujing Wang, Ziyu Guan et al.