All Papers

Grokking Group Multiplication with Cosets

Dashiell Stander, Qinan Yu, Honglu Fan et al.

Grokking in Linear Estimators -- A Solvable Model that Groks without Understanding

Noam Levi, Alon Beck, Yohai Bar-Sinai

Groma: Localized Visual Tokenization for Grounding Multimodal Large Language Models

Chuofan Ma, Yi Jiang, Jiannan Wu et al.

GROOT: Learning to Follow Instructions by Watching Gameplay Videos

Shaofei Cai, Bowei Zhang, Zihao Wang et al.

Ground-A-Video: Zero-shot Grounded Video Editing using Text-to-image Diffusion Models

Hyeonho Jeong, Jong Chul YE

Grounded Object-Centric Learning

Avinash Kori, Francesco Locatello, Fabio De Sousa Ribeiro et al.

Grounded Question-Answering in Long Egocentric Videos

Shangzhe Di, Weidi Xie

Grounded Text-to-Image Synthesis with Attention Refocusing

Quynh Phung, Songwei Ge, Jia-Bin Huang

GROUNDHOG: Grounding Large Language Models to Holistic Segmentation

Yichi Zhang, Ziqiao Ma, Xiaofeng Gao et al.

Grounding and Enhancing Grid-based Models for Neural Fields

Zelin Zhao, FENGLEI FAN, Wenlong Liao et al.

Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection

Shilong Liu, Zhaoyang Zeng, Tianhe Ren et al.

Grounding Everything: Emerging Localization Properties in Vision-Language Transformers

Walid Bousselham, Felix Petersen, Vittorio Ferrari et al.

Grounding Image Matching in 3D with MASt3R

Vincent Leroy, Yohann Cabon, Jerome Revaud

Grounding Language Models for Visual Entity Recognition

Zilin Xiao, Ming Gong, Paola Cascante-Bonilla et al.

Grounding Language Plans in Demonstrations Through Counterfactual Perturbations

Yanwei Wang, Johnson (Tsun-Hsuan) Wang, Jiayuan Mao et al.

Grounding Multimodal Large Language Models to the World

Zhiliang Peng, Wenhui Wang, Li Dong et al.

GroundUp: Rapid Sketch-Based 3D City Massing

Gizem Esra Unlu, Mohamed Sayed, Yulia Gryaditskaya et al.

GroundVLP: Harnessing Zero-Shot Visual Grounding from Vision-Language Pre-training and Open-Vocabulary Object Detection

Haozhan Shen, Tiancheng Zhao, Mingwei Zhu et al.

GroupContrast: Semantic-aware Self-supervised Representation Learning for 3D Understanding

Chengyao Wang, Li Jiang, Xiaoyang Wu et al.

GroupCover: A Secure, Efficient and Scalable Inference Framework for On-device Model Protection based on TEEs

Zheng Zhang, Na Wang, Ziqi Zhang et al.

GroupDiff: Diffusion-based Group Portrait Editing

Yuming Jiang, Nanxuan Zhao, Qing Liu et al.

Group Preference Optimization: Few-Shot Alignment of Large Language Models

Siyan Zhao, John Dang, Aditya Grover

Group Testing for Accurate and Efficient Range-Based Near Neighbor Search for Plagiarism Detection

Harsh Shah, Kashish Mittal, Ajit Rajwade

Groupwise Query Specialization and Quality-Aware Multi-Assignment for Transformer-based Visual Relationship Detection

Jongha Kim, Jihwan Park, Jinyoung Park et al.

GS2Mesh: Surface Reconstruction from Gaussian Splatting via Novel Stereo Views

Yaniv Wolf, Amit Bracha, Ron Kimmel

GSDD: Generative Space Dataset Distillation for Image Super-resolution

Haiyu Zhang, Shaolin Su, Yu Zhu et al.

GSD: View-Guided Gaussian Splatting Diffusion for 3D Reconstruction

Yuxuan Mu, Xinxin Zuo, Chuan Guo et al.

GSENet: Global Semantic Enhancement Network for Lane Detection

Junhao Su, Zhenghan Chen, Chenghao He et al.

GS-IR: 3D Gaussian Splatting for Inverse Rendering

Zhihao Liang, Qi Zhang, Ying Feng et al.

GS-LRM: Large Reconstruction Model for 3D Gaussian Splatting

Kai Zhang, Sai Bi, Hao Tan et al.

GSNeRF: Generalizable Semantic Neural Radiance Fields with Enhanced 3D Scene Understanding

Zi-Ting Chou, Sheng-Yu Huang, I-Jieh Liu et al.

GSN: Generalisable Segmentation in Neural Radiance Field

Siddharth Barman, Umang Bhaskar, Yeshwant Pandit et al.

GSO-Net: Grid Surface Optimization via Learning Geometric Constraints

Chaoyun Wang, Jingmin Xin, Nanning Zheng et al.

GS-Pose: Category-Level Object Pose Estimation via Geometric and Semantic Correspondence

Pengyuan Wang, Takuya Ikeda, Robert Lee et al.

GS-SLAM: Dense Visual SLAM with 3D Gaussian Splatting

Chi Yan, Delin Qu, Dong Wang et al.

GSVA: Generalized Segmentation via Multimodal Large Language Models

Zhuofan Xia, Dongchen Han, Yizeng Han et al.

GTA: A Geometry-Aware Attention Mechanism for Multi-View Transformers

Takeru Miyato, Bernhard Jaeger, Max Welling et al.

GTMGC: Using Graph Transformer to Predict Molecule’s Ground-State Conformation

Guikun Xu, Yongquan Jiang, PengChuan Lei et al.

GTMS: A Gradient-driven Tree-guided Mask-free Referring Image Segmentation Method

Haoxin Lyu, Tianxiong Zhong, Sanyuan Zhao

GTP-4o: Modality-prompted Heterogeneous Graph Learning for Omni-modal Biomedical Representation

Chenxin Li, Xinyu Liu, Cheng Wang et al.

GTPT: Group-based Token Pruning Transformer for Efficient Human Pose Estimation

Haonan Wang, Jie Liu, Jie Tang et al.

Guaranteed Approximation Bounds for Mixed-Precision Neural Operators

Renbo Tu, Colin White, Jean Kossaifi et al.

Guarantees for Nonlinear Representation Learning: Non-identical Covariates, Dependent Data, Fewer Samples

Thomas T. Zhang, Bruce Lee, Ingvar Ziemann et al.

Guess & Sketch: Language Model Guided Transpilation

Celine Lee, Abdulrahman Mahmoud, Michal Kurek et al.

Guess The Unseen: Dynamic 3D Scene Reconstruction from Partial 2D Glimpses

Inhee Lee, Byungjun Kim, Hanbyul Joo

Guidance with Spherical Gaussian Constraint for Conditional Diffusion

Lingxiao Yang, Shutong Ding, Yifan Cai et al.

Guide-and-Rescale: Self-Guidance Mechanism for Effective Tuning-Free Real Image Editing

Vadim Titov, Madina Khalmatova, Alexandra Ivanova et al.

Guided Slot Attention for Unsupervised Video Object Segmentation

Minhyeok Lee, Suhwan Cho, Dogyoon Lee et al.

Guiding a Harsh-Environments Robust Detector via RAW Data Characteristic Mining

Guiding Instruction-based Image Editing via Multimodal Large Language Models

Tsu-Jui Fu, Wenze Hu, Xianzhi Du et al.