All Papers

S²MVTC: a Simple yet Efficient Scalable Multi-View Tensor Clustering

Zhen Long, Qiyuan Wang, Yazhou Ren et al.

S2WAT: Image Style Transfer via Hierarchical Vision Transformer Using Strips Window Attention

Chiyu Zhang, Xiaogang Xu, Lei Wang et al.

S3A: Towards Realistic Zero-Shot Classification via Self Structural Semantic Alignment

Sheng Zhang, Muzammal Naseer, Guangyi Chen et al.

S^3D-NeRF: Single-Shot Speech-Driven Neural Radiance Field for High Fidelity Talking Head Synthesis

Dongze Li, Kang Zhao, WEI WANG et al.

S3GCL: Spectral, Swift, Spatial Graph Contrastive Learning

Guancheng Wan, Yijun Tian, Wenke Huang et al.

S3O: A Dual-Phase Approach for Reconstructing Dynamic Shape and Skeleton of Articulated Objects from Single Monocular Video

Hao Zhang, Fang Li, Samyak Rawlekar et al.

SA²VP: Spatially Aligned-and-Adapted Visual Prompt

Wenjie Pei, Tongqi Xia, Fanglin Chen et al.

SaCo Loss: Sample-wise Affinity Consistency for Vision-Language Pre-training

WU Sitong, Haoru Tan, Zhuotao Tian et al.

SA-DVAE: Improving Zero-Shot Skeleton-Based Action Recognition by Disentangled Variational Autoencoders

Sheng-Wei Li, Zi-Xiang Wei, Wei-Jie Jack Chen et al.

SAFARI: Adaptive Sequence Transformer for Weakly Supervised Referring Expression Segmentation

Sayan Nag, Koustava Goswami, Srikrishna Karanam

SAFDNet: A Simple and Effective Network for Fully Sparse 3D Object Detection

Gang Zhang, Chen Junnan, Guohuan Gao et al.

Safe Abductive Learning in the Presence of Inaccurate Rules

Xiao-Wen Yang, Jie-Jing Shao, Wei-Wei Tu et al.

Safe and Robust Subgame Exploitation in Imperfect Information Games

Zhenxing Ge, Zheng Xu, Tianyu Ding et al.

Safe and Robust Watermark Injection with a Single OoD Image

Shuyang Yu, Junyuan Hong, Haobo Zhang et al.

SafeAR: Safe Algorithmic Recourse by Risk-Aware Policies

Haochen Wu, Shubham Sharma, Sunandita Patra et al.

Safe-CLIP: Removing NSFW Concepts from Vision-and-Language Models

Samuele Poppi, Tobia Poppi, Federico Cocchi et al.

Safe Collaborative Filtering

Riku Togashi, Tatsushi Oka, Naoto Ohsaka et al.

SafeDreamer: Safe Reinforcement Learning with World Models

Weidong Huang, Jiaming Ji, Chunhe Xia et al.

Safe Exploration in Dose Finding Clinical Trials with Heterogeneous Participants

Isabel Chien, Wessel Bruinsma, Javier Gonzalez et al.

Safeguard Text-to-Image Diffusion Models with Human Feedback Inversion

Sanghyun Kim, Seohyeon Jung, Balhae Kim et al.

Safe Offline Reinforcement Learning with Feasibility-Guided Diffusion Model

Yinan Zheng, Jianxiong Li, Dongjie Yu et al.

Safe Reinforcement Learning using Finite-Horizon Gradient-based Estimation

Juntao Dai, Yaodong Yang, Qian Zheng et al.

Safe RLHF: Safe Reinforcement Learning from Human Feedback

Juntao Dai, Xuehai Pan, Ruiyang Sun et al.

Safe-Sim: Safety-Critical Closed-Loop Traffic Simulation with Diffusion-Controllable Adversaries

WEI-JER Chang, Francesco Pittaluga, Masayoshi TOMIZUKA et al.

Safety Fine-Tuning at (Almost) No Cost: A Baseline for Vision Large Language Models

Yongshuo Zong, Ondrej Bohdal, Tingyang Yu et al.

Safety-Tuned LLaMAs: Lessons From Improving the Safety of Large Language Models that Follow Instructions

Federico Bianchi, Mirac Suzgun, Giuseppe Attanasio et al.

SAFLEX: Self-Adaptive Augmentation via Feature Label Extrapolation

Mucong Ding, Bang An, Yuancheng Xu et al.

SAFNet: Selective Alignment Fusion Network for Efficient HDR Imaging

Lingtong Kong, Bo Li, Yike Xiong et al.

SAFT: Towards Out-of-Distribution Generalization in Fine-Tuning

Bac Nguyen, Stefan Uhlich, Fabien Cardinaux et al.

SAGS: Structure-Aware 3D Gaussian Splatting

Evangelos Ververas, Rolandos Alexandros Potamias, Song Jifei et al.

SAH-SCI: Self-Supervised Adapter for Efficient Hyperspectral Snapshot Compressive Imaging

Haijin Zeng, Yuxi Liu, Yongyong Chen et al.

SAI3D: Segment Any Instance in 3D Scenes

Yingda Yin, Yuzheng Liu, Yang Xiao et al.

SAIR: Learning Semantic-aware Implicit Representation

Canyu Zhang, Xiaoguang Li, Qing Guo et al.

Salience-Based Adaptive Masking: Revisiting Token Dynamics for Enhanced Pre-training

Hyesong Choi, Hyejin Park, Kwang Moo Yi et al.

Salience DETR: Enhancing Detection Transformer with Hierarchical Salience Filtering Refinement

Xiuquan Hou, Meiqin Liu, Senlin Zhang et al.

Saliency strikes back: How filtering out high frequencies improves white-box explanations

Sabine Muzellec, Thomas FEL, Victor Boutin et al.

SALMONN: Towards Generic Hearing Abilities for Large Language Models

Changli Tang, Wenyi Yu, Guangzhi Sun et al.

SALMON: Self-Alignment with Instructable Reward Models

Zhiqing Sun, Yikang Shen, Hongxin Zhang et al.

SALSA: Semantically-Aware Latent Space Autoencoder

Kathryn Kirchoff, Travis Maxfield, Alexander Tropsha et al.

SalUn: Empowering Machine Unlearning via Gradient-based Weight Saliency in Both Image Classification and Generation

Chongyu Fan, Jiancheng Liu, Yihua Zhang et al.

SAM4MLLM: Enhance Multi-Modal Large Language Model for Referring Expression Segmentation

Yi-Chia Chen, WeiHua Li, Cheng Sun et al.

SAM-6D: Segment Anything Model Meets Zero-Shot 6D Object Pose Estimation

Jiehong Lin, lihua liu, Dekun Lu et al.

SAM as the Guide: Mastering Pseudo-Label Refinement in Semi-Supervised Referring Expression Segmentation

Danni Yang, Jiayi Ji, Yiwei Ma et al.

SAM-COD: SAM-guided Unified Framework for Weakly-Supervised Camouflaged Object Detection

Huafeng Chen, Pengxu Wei, Guangqian Guo et al.

SAM-E: Leveraging Visual Foundation Model with Sequence Imitation for Embodied Manipulation

Junjie Zhang, Chenjia Bai, Haoran He et al.

SAMFlow: Eliminating Any Fragmentation in Optical Flow with Segment Anything Model

SAMformer: Unlocking the Potential of Transformers in Time Series Forecasting with Sharpness-Aware Minimization and Channel-Wise Attention

Romain Ilbert, Ambroise Odonnat, Vasilii Feofanov et al.

SAMFusion: Sensor-Adaptive Multimodal Fusion for 3D Object Detection in Adverse Weather

Edoardo Palladin, Roland Dietze, Praveen Narayanan et al.

SAM-guided Graph Cut for 3D Instance Segmentation

Haoyu Guo, He Zhu, Sida Peng et al.

SAM-PARSER: Fine-Tuning SAM Efficiently by Parameter Space Reconstruction

Zelin Peng, Zhengqin Xu, Zhilin Zeng et al.