All Papers
34,598 papers found • Page 539 of 692
Conference
GKGNet: Group K-Nearest Neighbor based Graph Convolutional Network for Multi-Label Image Recognition
Ruijie Yao, Sheng Jin, Lumin Xu et al.
GLACE: Global Local Accelerated Coordinate Encoding
Fangjinhua Wang, Xudong Jiang, Silvano Galliani et al.
GLAD: Towards Better Reconstruction with Global and Local Adaptive Diffusion Models for Unsupervised Anomaly Detection
hang yao, Ming LIU, Zhicun Yin et al.
GLaMM: Pixel Grounding Large Multimodal Model
Hanoona Rasheed, Muhammad Maaz, Sahal Shaji Mullappilly et al.
GLARE: Low Light Image Enhancement via Generative Latent Feature based Codebook Retrieval
Han Zhou, Wei Dong, Xiaohong Liu et al.
GLDL: Graph Label Distribution Learning
Yufei Jin, Richard Gao, Yi He et al.
GliDe with a CaPE: A Low-Hassle Method to Accelerate Speculative Decoding
Cunxiao Du, Jing Jiang, Xu Yuanchen et al.
GLID: Pre-training a Generalist Encoder-Decoder Vision Model
Jihao Liu, Jinliang Zheng, Yu Liu et al.
GLiDR: Topologically Regularized Graph Generative Network for Sparse LiDAR Point Clouds
Prashant Kumar, Kshitij Madhav Bhat, Vedang Bhupesh Shenvi Nadkarni et al.
GlitchBench: Can Large Multimodal Models Detect Video Game Glitches?
Mohammad Reza Taesiri, Tianjun Feng, Cor-Paul Bezemer et al.
Global and Hierarchical Geometry Consistency Priors for Few-shot NeRFs in Indoor Scenes
Xiaotian Sun, Qingshan Xu, Xinjie Yang et al.
Global and Local Prompts Cooperation via Optimal Transport for Federated Learning
Hongxia Li, Wei Huang, Jingya Wang et al.
Global Counterfactual Directions
Bartlomiej Sobieski, Przemyslaw Biecek
Global Latent Neural Rendering
Thomas Tanay, Matteo Maggioni
Global-Local Collaborative Inference with LLM for Lidar-Based Open-Vocabulary Detection
Xingyu Peng, Yan Bai, Chen Gao et al.
Global Optimality for Non-linear Constrained Restoration Problems via Invexity
Samuel Pinilla, Jeyan Thiyagalingam
GlobalPointer: Large-Scale Plane Adjustment with Bi-Convex Relaxation
Bangyan Liao, Zhenjun Zhao, Lu Chen et al.
Global Reinforcement Learning : Beyond Linear and Convex Rewards via Submodular Semi-gradient Methods
Riccardo De Santi, Manish Prajapat, Andreas Krause
Global Structure-from-Motion Revisited
Linfei Pan, Daniel Barath, Marc Pollefeys et al.
Global-to-Pixel Regression for Human Mesh Recovery
Yabo Xiao, MINGSHU HE, Dongdong Yu
GLOP: Learning Global Partition and Local Construction for Solving Large-Scale Routing Problems in Real-Time
Haoran Ye, Jiarui Wang, Helan Liang et al.
GLoRe: When, Where, and How to Improve LLM Reasoning via Global and Local Refinements
Alexander Havrilla, Sharath Chandra Raparthy, Christoforos Nalmpantis et al.
GLOW: Global Layout Aware Attacks on Object Detection
Jun Bao, Buyu Liu, Kui Ren et al.
GlucoBench: Curated List of Continuous Glucose Monitoring Datasets with Prediction Benchmarks
Renat Sergazinov, Elizabeth Chun, Valeriya Rogovchenko et al.
Glyph-ByT5: A Customized Text Encoder for Accurate Visual Text Rendering
Zeyu Liu, Weicong Liang, Zhanhao Liang et al.
GMMFormer: Gaussian-Mixture-Model Based Transformer for Efficient Partially Relevant Video Retrieval
Yuting Wang, Jinpeng Wang, Bin Chen et al.
GMM-IKRS: Gaussian Mixture Models for Interpretable Keypoint Refinement and Scoring
Emanuele Santellani, Martin Zach, Christian Sormann et al.
GMP-AR: Granularity Message Passing and Adaptive Reconciliation for Temporal Hierarchy Forecasting
Fan Zhou, Chen Pan, Lintao Ma et al.
GMT: Enhancing Generalizable Neural Rendering via Geometry-Driven Multi-Reference Texture Transfer
Youngho Yoon, Hyun-Kurl Jang, Kuk-Jin Yoon
G-NAS: Generalizable Neural Architecture Search for Single Domain Generalization Object Detection
Fan Wu, Jinling Gao, Lanqing Hong et al.
G-NeRF: Geometry-enhanced Novel View Synthesis from Single-View Images
Zixiong Huang, Qi Chen, Libo Sun et al.
GNeRP: Gaussian-guided Neural Reconstruction of Reflective Objects with Noisy Polarization Priors
LI Yang, RUIZHENG WU, Jiyong Li et al.
GNNBoundary: Towards Explaining Graph Neural Networks through the Lens of Decision Boundaries
Xiaoqi Wang, Han Wei Shen
GNNCert: Deterministic Certification of Graph Neural Networks against Adversarial Perturbations
Zaishuo Xia, Han Yang, Binghui Wang et al.
GNNs Also Deserve Editing, and They Need It More Than Once
Shaochen (Henry) Zhong, Duy Le, Zirui Liu et al.
GNNX-BENCH: Unravelling the Utility of Perturbation-based GNN Explainers through In-depth Benchmarking
Mert Kosan, Samidha Verma, Burouj Armgaan et al.
Goal Alignment: Re-analyzing Value Alignment Problems Using Human-Aware AI
Malek Mechergui, Sarath Sreedharan
GOALNET: Interleaving Neural Goal Predicate Inference with Classical Planning for Generalization in Robot Instruction Following
Jigyasa Gupta, Shreya Sharma, Shreshth Tuli et al.
GOAT-Bench: A Benchmark for Multi-Modal Lifelong Navigation
Mukul Khanna, Ram Ramrakhya, Gunjan Chhablani et al.
GOAt: Explaining Graph Neural Networks via Graph Output Attribution
Shengyao Lu, Keith G Mills, Jiao He et al.
GO-DICE: Goal-Conditioned Option-Aware Offline Imitation Learning via Stationary Distribution Correction Estimation
Abhinav Jain, Vaibhav Unhelkar
GOEmbed: Gradient Origin Embeddings for Representation Agnostic 3D Feature Learning
Animesh Karnewar, Roman Shapovalov, Tom Monnier et al.
Going beyond Compositions, DDPMs Can Produce Zero-Shot Interpolations
Justin Deschenaux, Igor Krawczuk, Grigorios Chrysos et al.
Going Beyond Multi-Task Dense Prediction with Synergy Embedding Models
Huimin Huang, Yawen Huang, Lanfen Lin et al.
Going Beyond Neural Network Feature Similarity: The Network Feature Complexity and Its Interpretation Using Category Theory
Yiting Chen, Zhanpeng Zhou, Junchi Yan
Goldfish: Vision-Language Understanding of Arbitrarily Long Videos
Kirolos Ataallah, Xiaoqian Shen, Eslam mohamed abdelrahman et al.
GoLLIE: Annotation Guidelines improve Zero-Shot Information-Extraction
Oscar Sainz, Iker García-Ferrero, Rodrigo Agerri et al.
GoMAvatar: Efficient Animatable Human Modeling from Monocular Video Using Gaussians-on-Mesh
Jing Wen, Xiaoming Zhao, Jason Ren et al.
GoMVS: Geometrically Consistent Cost Aggregation for Multi-View Stereo
Jiang Wu, Rui Li, Haofei Xu et al.
GOODAT: Towards Test-Time Graph Out-of-Distribution Detection
Luzhi Wang, Di Jin, He Zhang et al.