Poster Papers
24,624 papers found • Page 456 of 493
Conference
Scaling Autoregressive Models for Content-Rich Text-to-Image Generation
Xin Li, Jing Yu Koh, Alexander Ku et al.
Scaling Backwards: Minimal Synthetic Pre-training?
Ryo Nakamura, Ryu Tadokoro, Ryosuke Yamada et al.
Scaling Beyond the GPU Memory Limit for Large Mixture-of-Experts Model Training
Yechan Kim, Hwijoon Lim, Dongsu Han
Scaling Convex Neural Networks with Burer-Monteiro Factorization
Arda Sahiner, Tolga Ergen, Batu Ozturkler et al.
Scaling Diffusion Models to Real-World 3D LiDAR Scene Completion
Lucas Nunes, Rodrigo Marcuzzi, Benedikt Mersch et al.
Scaling Down Deep Learning with MNIST-1D
Sam Greydanus, Dmitry Kobak
Scaling Exponents Across Parameterizations and Optimizers
Katie Everett, Lechao Xiao, Mitchell Wortsman et al.
Scaling for Training Time and Post-hoc Out-of-distribution Detection Enhancement
Kai Xu, Rongyu Chen, Gianni Franchi et al.
Scaling Laws for Data Filtering— Data Curation cannot be Compute Agnostic
Sachin Goyal, Pratyush Maini, Zachary Lipton et al.
Scaling Laws for Fine-Grained Mixture of Experts
Jan Ludziejewski, Jakub Krajewski, Kamil Adamczewski et al.
Scaling Laws for the Value of Individual Data Points in Machine Learning
Ian Covert, Wenlong Ji, Tatsunori Hashimoto et al.
Scaling Laws of RoPE-based Extrapolation
Xiaoran Liu, Hang Yan, Chenxin An et al.
Scaling Laws of Synthetic Images for Model Training ... for Now
Lijie Fan, Kaifeng Chen, Dilip Krishnan et al.
Scaling Rectified Flow Transformers for High-Resolution Image Synthesis
Patrick Esser, Sumith Kulal, Andreas Blattmann et al.
Scaling Speech Technology to 1,000+ Languages
Vineel Pratap Konduru, Andros Tjandra, Bowen Shi et al.
Scaling Supervised Local Learning with Augmented Auxiliary Networks
Chenxiang Ma, Jibin Wu, Chenyang Si et al.
Scaling Tractable Probabilistic Circuits: A Systems Perspective
Anji Liu, Kareem Ahmed, Guy Van den Broeck
Scaling Up Personalized Image Aesthetic Assessment via Task Vector Customization
Jooyeol Yun, Choo Jaegul
Scaling Up to Excellence: Practicing Model Scaling for Photo-Realistic Image Restoration In the Wild
Fanghua Yu, Jinjin Gu, Zheyuan Li et al.
Scaling Up Video Summarization Pretraining with Large Language Models
Dawit Argaw Argaw, Seunghyun Yoon, Fabian Caba Heilbron et al.
ScanFormer: Referring Expression Comprehension by Iteratively Scanning
Wei Su, Peihan Miao, Huanzhang Dou et al.
ScanReason: Empowering 3D Visual Grounding with Reasoning Capabilities
CHENMING ZHU, Tai Wang, Wenwei Zhang et al.
ScanTalk: 3D Talking Heads from Unregistered Scans
Federico Nocentini, Thomas Besnier, Claudio Ferrari et al.
SCAPE: A Simple and Strong Category-Agnostic Pose Estimator
Yujia Liang, Zixuan Ye, Wenze Liu et al.
ScatterFormer: Efficient Voxel Transformer with Scattered Linear Attention
Chenhang He, Ruihuang Li, Guowen Zhang et al.
SCE-MAE: Selective Correspondence Enhancement with Masked Autoencoder for Self-Supervised Landmark Estimation
Kejia Yin, Varshanth Rao, Ruowei Jiang et al.
Scene-adaptive and Region-aware Multi-modal Prompt for Open Vocabulary Object Detection
Xiaowei Zhao, Xianglong Liu, Duorui Wang et al.
Scene Adaptive Sparse Transformer for Event-based Object Detection
Yansong Peng, Li Hebei, Yueyi Zhang et al.
Scene-aware Human Motion Forecasting via Mutual Distance Prediction
Chaoyue Xing, Wei Mao, Miaomiao LIU
Scene-Conditional 3D Object Stylization and Composition
Jinghao Zhou, Tomas Jakab, Philip Torr et al.
Scene Coordinate Reconstruction: Posing of Image Collections via Incremental Learning of a Relocalizer
Eric Brachmann, Jamie Wynn, Shuai Chen et al.
SceneCraft: An LLM Agent for Synthesizing 3D Scenes as Blender Code
ziniu hu, Ahmet Iscen, Aashi Jain et al.
SceneFun3D: Fine-Grained Functionality and Affordance Understanding in 3D Scenes
Alexandros Delitzas, Ayça Takmaz, Federico Tombari et al.
Scene Graph Generation Strategy with Co-occurrence Knowledge and Learnable Term Frequency
Hyeongjin Kim, Sangwon Kim, Dasom Ahn et al.
SceneGraphLoc: Cross-Modal Coarse Visual Localization on 3D Scene Graphs
Yang Miao, Francis Engelmann, Olga Vysotska et al.
Scene-Graph ViT: End-to-End Open-Vocabulary Visual Relationship Detection
Tim Salzmann, Markus Ryll, Alex Bewley et al.
SceneScript: Reconstructing Scenes With An Autoregressive Structured Language Model
Armen Avetisyan, Christopher Xie, Henry Howard-Jenkins et al.
SceneTeller: Language-to-3D Scene Generation
Basak Melis Ocal, Maxim Tatarchenko, Sezer Karaoglu et al.
SceneVerse: Scaling 3D Vision-Language Learning for Grounded Scene Understanding
Baoxiong Jia, Yixin Chen, Huangyue Yu et al.
SC-GS: Sparse-Controlled Gaussian Splatting for Editable Dynamic Scenes
Yihua Huang, Yangtian Sun, Ziyi Yang et al.
SCHEMA: State CHangEs MAtter for Procedure Planning in Instructional Videos
Yulei Niu, Wenliang Guo, Long Chen et al.
SchurVINS: Schur Complement-Based Lightweight Visual Inertial Navigation System
Yunfei Fan, Tianyu Zhao, Guidong Wang
SciBench: Evaluating College-Level Scientific Problem-Solving Abilities of Large Language Models
Xiaoxuan Wang, ziniu hu, Pan Lu et al.
Scissorhands: Scrub Data Influence via Connection Sensitivity in Networks
Jing Wu, Mehrtash Harandi
SCLIP: Rethinking Self-Attention for Dense Vision-Language Inference
Feng Wang, Jieru Mei, Alan Yuille
SCOD: From Heuristics to Theory
Vojtech Franc, Jakub Paplham, Daniel Prusa
SCoFT: Self-Contrastive Fine-Tuning for Equitable Image Generation
Zhixuan Liu, Peter Schaldenbrand, Beverley-Claire Okogwu et al.
SCOMatch: Alleviating Overtrusting in Open-set Semi-supervised Learning
ZERUN WANG, Liuyu Xiang, Lang Huang et al.
Score-Based Causal Discovery of Latent Variable Causal Models
Ignavier Ng, Xinshuai Dong, Haoyue Dai et al.
Score-based generative models break the curse of dimensionality in learning a family of sub-Gaussian distributions
Frank Cole, Yulong Lu