All Papers

Step Vulnerability Guided Mean Fluctuation Adversarial Attack against Conditional Diffusion Models

Hongwei Yu, Jiansheng Chen, Xinlong Ding et al.

Stepwise Multi-grained Boundary Detector for Point-supervised Temporal Action Localization

Mengnan Liu, Le Wang, Sanping Zhou et al.

StereoGlue: Joint Feature Matching and Robust Estimation

Daniel Barath, Dmytro Mishkin, Luca Cavalli et al.

Stereographic Spherical Sliced Wasserstein Distances

Huy Tran, Yikun Bai, Abihith Kothapalli et al.

Stereo Risk: A Continuous Modeling Approach to Stereo Matching

Ce Liu, Suryansh Kumar, Shuhang Gu et al.

Stereo Vision Conversion from Planar Videos Based on Temporal Multiplane Images

Shanding Diao, Yuan Chen, Yang Zhao et al.

Sterling: Synergistic Representation Learning on Bipartite Graphs

Baoyu Jing, Yuchen Yan, Kaize Ding et al.

Steve-Eye: Equipping LLM-based Embodied Agents with Visual Perception in Open Worlds

Sipeng Zheng, jiazheng liu, Yicheng Feng et al.

Stitched ViTs are Flexible Vision Backbones

Zizheng Pan, Jing Liu, Haoyu He et al.

Stitching Segments and Sentences towards Generalization in Video-Text Pre-training

Fan Ma, Xiaojie Jin, Heng Wang et al.

Stitching Sub-trajectories with Conditional Diffusion Model for Goal-Conditioned Offline RL

Sungyoon Kim, Yunseon Choi, Daiki Matsunaga et al.

ST-LDM: A Universal Framework for Text-Grounded Object Generation in Real Images

Xiangtian Xue, Jiasong Wu, Youyong Kong et al.

ST-LLM: Large Language Models Are Effective Temporal Learners

Ruyang Liu, Chen Li, Haoran Tang et al.

Stochastic Bandits with ReLU Neural Networks

Kan Xu, Hamsa Bastani, Surbhi Goel et al.

Stochastic Bayesian Optimization with Unknown Continuous Context Distribution via Kernel Density Estimation

Xiaobin Huang, Lei Song, Ke Xue et al.

Stochastic Conditional Diffusion Models for Robust Semantic Image Synthesis

Juyeon Ko, Inho Kong, Dogyun Park et al.

Stochastic Controlled Averaging for Federated Learning with Communication Compression

Xinmeng Huang, Ping Li, Xiaoyun Li

Stochastic Gradient Descent for Gaussian Processes Done Right

Jihao Andreas Lin, Shreyas Padhy, Javier Antorán et al.

Stochastic Gradient Flow Dynamics of Test Risk and its Exact Solution for Weak Features

Rodrigo Veiga, Anastasia Remizova, Nicolas Macris

Stochastic Interpolants with Data-Dependent Couplings

Michael Albergo, Mark Goldstein, Nicholas Boffi et al.

Stochastic Localization via Iterative Posterior Sampling

Louis Grenioux, Maxence Noble, Marylou Gabrié et al.

Stochastic Modified Equations and Dynamics of Dropout Algorithm

Zhongwang Zhang, Yuqing Li, Tao Luo et al.

Stochastic Optimization with Arbitrary Recurrent Data Sampling

William Powell, Hanbaek Lyu

Stochastic positional embeddings improve masked image modeling

Amir Bar, Florian Bordes, Assaf Shocher et al.

Stochastic Q-learning for Large Discrete Action Spaces

Fares Fourati, Vaneet Aggarwal, Mohamed-Slim Alouini

Stochastic Quantum Sampling for Non-Logconcave Distributions and Estimating Partition Functions

Guneykan Ozgul, Xiantao Li, Mehrdad Mahdavi et al.

Stochastic Weakly Convex Optimization beyond Lipschitz Continuity

Wenzhi Gao, Qi Deng

StockMixer: A Simple Yet Strong MLP-Based Architecture for Stock Price Forecasting

Jinyong Fan, Yanyan Shen

Stop! Planner Time: Metareasoning for Probabilistic Planning Using Learned Performance Profiles

Matthew Budd, Bruno Lacerda, Nick Hawes

Stop Regressing: Training Value Functions via Classification for Scalable Deep RL

Jesse Farebrother, Jordi Orbay, Quan Vuong et al.

StoryImager: A Unified and Efficient Framework for Coherent Story Visualization and Completion

Ming Tao, BINGKUN BAO, Hao Tang et al.

Str2Str: A Score-based Framework for Zero-shot Protein Conformation Sampling

Jiarui Lu, Bozitao Zhong, Zuobai Zhang et al.

Straightforward Layer-wise Pruning for More Efficient Visual Adaptation

Ruizi Han, Jinglei Tang

StraightPCF: Straight Point Cloud Filtering

Dasith de Silva Edirimuni, Xuequan Lu, Gang Li et al.

Straight-Through Meets Sparse Recovery: the Support Exploration Algorithm

Mimoun Mohamed, Francois Malgouyres, Valentin Emiya et al.

Strategic Preys Make Acute Predators: Enhancing Camouflaged Object Detectors by Generating Camouflaged Objects

Chunming He, Kai Li, Yachao Zhang et al.

Strategyproof Mechanisms for Group-Fair Obnoxious Facility Location Problems

Jiaqian Li, Minming Li, Hau Chan

Stratified Avatar Generation from Sparse Observations

Han Feng, Wenchao Ma, Quankai Gao et al.

Stratified GNN Explanations through Sufficient Expansion

Streaming Dense Video Captioning

Xingyi Zhou, Anurag Arnab, Shyamal Buch et al.

StreamingFlow: Streaming Occupancy Forecasting with Asynchronous Multi-modal Data Streams via Neural Ordinary Differential Equation

Yining Shi, Kun JIANG, Ke Wang et al.

Stream Query Denoising for Vectorized HD-Map Construction

Shuo Wang, Fan Jia, Weixin Mao et al.

STREAM: Spatio-TempoRal Evaluation and Analysis Metric for Video Generative Models

Pum Jun Kim, Seojun Kim, Jaejun Yoo

Street Gaussians: Modeling Dynamic Urban Scenes with Gaussian Splatting

Yunzhi Yan, Haotong Lin, Chenxu Zhou et al.

Strengthening Multimodal Large Language Model with Bootstrapped Preference Optimization

Renjie Pi, Tianyang Han, Wei Xiong et al.

Strike a Balance in Continual Panoptic Segmentation

Jinpeng Chen, Runmin Cong, Yuxuan Luo et al.

Stripe Observation Guided Inference Cost-free Attention Mechanism

Zhongzhan Huang, Shanshan Zhong, Wushao Wen et al.

StrokeFaceNeRF: Stroke-based Facial Appearance Editing in Neural Radiance Field

Xiao-juan Li, Dingxi Zhang, Shu-Yu Chen et al.

StrokeNUWA—Tokenizing Strokes for Vector Graphic Synthesis

Zecheng Tang, Chenfei Wu, Zekai Zhang et al.

Strong Baselines for Parameter-Efficient Few-Shot Fine-Tuning

Samyadeep Basu, Shell Hu, Daniela Massiceti et al.