Poster Papers
24,624 papers found • Page 382 of 493
Conference
Getting the most out of your tokenizer for pre-training and domain adaptation
Gautier Dagan, Gabriel Synnaeve, Baptiste Roziere
Get What You Want, Not What You Don't: Image Content Suppression for Text-to-Image Diffusion Models
Senmao Li, Joost van de Weijer, taihang Hu et al.
Get Your Embedding Space in Order: Domain-Adaptive Regression for Forest Monitoring
Sizhuo Li, Dimitri Gominski, Martin Brandt et al.
G-FARS: Gradient-Field-based Auto-Regressive Sampling for 3D Part Grouping
Junfeng Cheng, Tania Stathaki
GFlowNet Training by Policy Gradients
Puhua Niu, Shili Wu, Mingzhou Fan et al.
GGRt: Towards Generalizable 3D Gaussians without Pose Priors in Real-Time
Hao Li, Yuanyuan Gao, Dingwen Zhang et al.
G-HOP: Generative Hand-Object Prior for Interaction Reconstruction and Grasp Synthesis
Yufei Ye, Abhinav Gupta, Kris Kitani et al.
Ghost on the Shell: An Expressive Representation of General 3D Shapes
Zhen Liu, Yao Feng, Yuliang Xiu et al.
Gibbs Sampling of Continuous Potentials on a Quantum Computer
Arsalan Motamedi, Pooya Ronagh
GigaPose: Fast and Robust Novel Object Pose Estimation via One Correspondence
Van Nguyen Nguyen, Thibault Groueix, Mathieu Salzmann et al.
GigaTraj: Predicting Long-term Trajectories of Hundreds of Pedestrians in Gigapixel Complex Scenes
Haozhe Lin, Chunyu Wei, Li He et al.
GiLOT: Interpreting Generative Language Models via Optimal Transport
Xuhong Li, Jiamin Chen, Yekun Chai et al.
GistScore: Learning Better Representations for In-Context Example Selection with Gist Bottlenecks
Shivanshu Gupta, Clemens Rosenbaum, Ethan R. Elenberg
GiT: Towards Generalist Vision Transformer through Universal Language Interface
Haiyang Wang, Hao Tang, Li Jiang et al.
GIVT: Generative Infinite-Vocabulary Transformers
Michael Tschannen, Cian Eastwood, Fabian Mentzer
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.
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
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.
GMM-IKRS: Gaussian Mixture Models for Interpretable Keypoint Refinement and Scoring
Emanuele Santellani, Martin Zach, Christian Sormann et al.
GMT: Enhancing Generalizable Neural Rendering via Geometry-Driven Multi-Reference Texture Transfer
Youngho Yoon, Hyun-Kurl Jang, Kuk-Jin Yoon
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.
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.
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.