Poster Papers
24,624 papers found • Page 466 of 493
Conference
SplattingAvatar: Realistic Real-Time Human Avatars with Mesh-Embedded Gaussian Splatting
Zhijing Shao, Wang Zhaolong, Zhuang Li et al.
Spline-based Transformers
Prashanth Chandran, Agon Serifi, Markus Gross et al.
Split-and-Denoise: Protect large language model inference with local differential privacy
Peihua Mai, Ran Yan, Zhe Huang et al.
Split-Ensemble: Efficient OOD-aware Ensemble via Task and Model Splitting
Anthony Chen, Huanrui Yang, Yulu Gan et al.
Split to Merge: Unifying Separated Modalities for Unsupervised Domain Adaptation
Xinyao Li, Yuke Li, Zhekai Du et al.
SPOC: Imitating Shortest Paths in Simulation Enables Effective Navigation and Manipulation in the Real World
Kiana Ehsani, Tanmay Gupta, Rose Hendrix et al.
Spoken Question Answering and Speech Continuation Using Spectrogram-Powered LLM
Eliya Nachmani, Alon Levkovitch, Roy Hirsch et al.
SportsHHI: A Dataset for Human-Human Interaction Detection in Sports Videos
Tao Wu, Runyu He, Gangshan Wu et al.
SportsSloMo: A New Benchmark and Baselines for Human-centric Video Frame Interpolation
Jiaben Chen, Huaizu Jiang
Spotting LLMs With Binoculars: Zero-Shot Detection of Machine-Generated Text
Abhimanyu Hans, Avi Schwarzschild, Valeriia Cherepanova et al.
SPP: Sparsity-Preserved Parameter-Efficient Fine-Tuning for Large Language Models
Xudong LU, Aojun Zhou, Yuhui Xu et al.
SpQR: A Sparse-Quantized Representation for Near-Lossless LLM Weight Compression
Tim Dettmers, Ruslan Svirschevski, Vage Egiazarian et al.
SPTNet: An Efficient Alternative Framework for Generalized Category Discovery with Spatial Prompt Tuning
Hongjun Wang, Sagar Vaze, Kai Han
SPU-PMD: Self-Supervised Point Cloud Upsampling via Progressive Mesh Deformation
Yanzhe Liu, Rong Chen, Yushi Li et al.
Spurious Feature Diversification Improves Out-of-distribution Generalization
LIN Yong, Lu Tan, Yifan HAO et al.
SPVLoc: Semantic Panoramic Viewport Matching for 6D Camera Localization in Unseen Environments
Niklas Gard, Anna Hilsmann, Peter Eisert
SQ-LLaVA: Self-Questioning for Large Vision-Language Assistant
Guohao Sun, Can Qin, JIAMINAN WANG et al.
SqueezeLLM: Dense-and-Sparse Quantization
Sehoon Kim, Coleman Hooper, Amir Gholaminejad et al.
sRGB Real Noise Modeling via Noise-Aware Sampling with Normalizing Flows
Dongjin Kim, Donggoo Jung, Sungyong Baik et al.
SRL: Scaling Distributed Reinforcement Learning to Over Ten Thousand Cores
Zhiyu Mei, Wei Fu, Jiaxuan Gao et al.
SRPose: Two-view Relative Pose Estimation with Sparse Keypoints
Rui Yin, Yulun Zhang, Zherong Pan et al.
SRTube: Video-Language Pre-Training with Action-Centric Video Tube Features and Semantic Role Labeling
Juhee Lee, Jewon Kang
SSL4Q: Semi-Supervised Learning of Quantum Data with Application to Quantum State Classification
Yehui Tang, Nianzu Yang, Mabiao Long et al.
SSL-Cleanse: Trojan Detection and Mitigation in Self-Supervised Learning
Mengxin Zheng, Jiaqi Xue, Zihao Wang et al.
SSR-Encoder: Encoding Selective Subject Representation for Subject-Driven Generation
Yuxuan Zhang, Yiren Song, Jiaming Liu et al.
Stability and Generalization for Stochastic Recursive Momentum-based Algorithms for (Strongly-)Convex One to $K$-Level Stochastic Optimizations
Xiaokang Pan, Xingyu Li, Jin Liu et al.
Stability and Generalization of Stochastic Compositional Gradient Descent Algorithms
Ming Yang, Xiyuan Wei, Tianbao Yang et al.
Stability and Multigroup Fairness in Ranking with Uncertain Predictions
Siddartha Devic, Aleksandra Korolova, David Kempe et al.
Stability Evaluation through Distributional Perturbation Analysis
Jose Blanchet, Peng Cui, Jiajin Li et al.
Stability-Informed Initialization of Neural Ordinary Differential Equations
Theodor Westny, Arman Mohammadi, Daniel Jung et al.
Stabilizing Policy Gradients for Stochastic Differential Equations via Consistency with Perturbation Process
Xiangxin Zhou, Liang Wang, Yichi Zhou
Stable Anisotropic Regularization
William Rudman, Carsten Eickhoff
Stable Differentiable Causal Discovery
Achille Nazaret, Justin Hong, Elham Azizi et al.
StableDrag: Stable Dragging for Point-based Image Editing
Yutao Cui, Xiaotong Zhao, Guozhen Zhang et al.
StableMask: Refining Causal Masking in Decoder-only Transformer
Qingyu Yin, Xuzheng He, Xiang Zhuang et al.
Stable Neighbor Denoising for Source-free Domain Adaptive Segmentation
Dong Zhao, Shuang Wang, Qi Zang et al.
Stable Preference: Redefining training paradigm of human preference model for Text-to-Image Synthesis
Hanting Li, Hongjing Niu, Feng Zhao
StableSSM: Alleviating the Curse of Memory in State-space Models through Stable Reparameterization
Shida Wang, Qianxiao Li
Stable Video Portraits
Mirela Ostrek, Justus Thies
StableVITON: Learning Semantic Correspondence with Latent Diffusion Model for Virtual Try-On
Jeongho Kim, Gyojung Gu, Minho Park et al.
Stacking Deep Set Networks and Pooling by Quantiles
Zhuojun Chen, Xinghua Zhu, Dongzhe Su et al.
STAG4D: Spatial-Temporal Anchored Generative 4D Gaussians
Yifei Zeng, Yanqin Jiang, Siyu Zhu et al.
STAMP: Outlier-Aware Test-Time Adaptation with Stable Memory Replay
Yu Yongcan, Lijun Sheng, Ran He et al.
Standardized Interpretable Fairness Measures for Continuous Risk Scores
Ann-Kristin Becker, Oana Dumitrasc, Klaus Broelemann
STARC: A General Framework For Quantifying Differences Between Reward Functions
Joar Skalse, Lucy Farnik, Sumeet Motwani et al.
State-Free Inference of State-Space Models: The *Transfer Function* Approach
Rom N. Parnichkun, Stefano Massaroli, Alessandro Moro et al.
State Space Models for Event Cameras
Nikola Zubic, Mathias Gehrig, Davide Scaramuzza
Statewide Visual Geolocalization in the Wild
Florian Fervers, Sebastian Bullinger, Christoph Bodensteiner et al.
Stationarity without mean reversion in improper Gaussian processes
Luca Ambrogioni
Stationary Latent Weight Inference for Unreliable Observations from Online Test-Time Adaptation
Jae-Hong Lee, Joon Hyuk Chang