Poster Papers
24,624 papers found • Page 460 of 493
SemiVL: Semi-Supervised Semantic Segmentation with Vision-Language Guidance
Lukas Hoyer, David Tan, Muhammad Ferjad Naeem et al.
SeMoLi: What Moves Together Belongs Together
Jenny Seidenschwarz, Aljoša Ošep, Francesco Ferroni et al.
SeMOPO: Learning High-quality Model and Policy from Low-quality Offline Visual Datasets
Shenghua Wan, Ziyuan Chen, Le Gan et al.
SemReg: Semantics Constrained Point Cloud Registration
Sheldon Fung, Xuequan Lu, Dasith de Silva Edirimuni et al.
SemTrack: A Large-scale Dataset for Semantic Tracking in the Wild
Pengfei Wang, Xiaofei Hui, Jing Wu et al.
SENC: Handling Self-collision in Neural Cloth Simulation
Zhouyingcheng Liao, Sinan Wang, Taku Komura
SeNM-VAE: Semi-Supervised Noise Modeling with Hierarchical Variational Autoencoder
Dihan Zheng, Yihang Zou, Xiaowen Zhang et al.
Separate and Conquer: Decoupling Co-occurrence via Decomposition and Representation for Weakly Supervised Semantic Segmentation
Zhiwei Yang, Kexue Fu, Minghong Duan et al.
Separate and Diffuse: Using a Pretrained Diffusion Model for Better Source Separation
Shahar Lutati, Eliya Nachmani, Lior Wolf
Separating common from salient patterns with Contrastive Representation Learning
Robin Louiset, Edouard Duchesnay, Grigis Antoine et al.
Separating the "Chirp" from the "Chat": Self-supervised Visual Grounding of Sound and Language
Mark Hamilton, Andrew Zisserman, John Hershey et al.
SequenceMatch: Imitation Learning for Autoregressive Sequence Modelling with Backtracking
Chris Cundy, Stefano Ermon
Sequential Asynchronous Action Coordination in Multi-Agent Systems: A Stackelberg Decision Transformer Approach
Bin Zhang, Hangyu Mao, Lijuan Li et al.
Sequential Disentanglement by Extracting Static Information From A Single Sequence Element
Nimrod Berman, Ilan Naiman, Idan Arbiv et al.
Sequential Kernel Goodness-of-fit Testing
Zhengyu Zhou, Weiwei Liu
Sequential Modeling Enables Scalable Learning for Large Vision Models
Yutong Bai, Xinyang Geng, Karttikeya Mangalam et al.
Sequential Representation Learning via Static-Dynamic Conditional Disentanglement
Mathieu Simon, Pascal Frossard, Christophe De Vleeschouwer
SetCSE: Set Operations using Contrastive Learning of Sentence Embeddings
Kang Liu
Set Learning for Accurate and Calibrated Models
Lukas Muttenthaler, Robert A Vandermeulen, Qiuyi (Richard) Zhang et al.
SFC: Achieve Accurate Fast Convolution under Low-precision Arithmetic
Liulu He, yufei zhao, rui gao et al.
SF(DA)$^2$: Source-free Domain Adaptation Through the Lens of Data Augmentation
Uiwon Hwang, Jonghyun Lee, Juhyeon Shin et al.
SF-DQN: Provable Knowledge Transfer using Successor Feature for Deep Reinforcement Learning
Shuai Zhang, Heshan Fernando, Miao Liu et al.
SfmCAD: Unsupervised CAD Reconstruction by Learning Sketch-based Feature Modeling Operations
Pu Li, Jianwei Guo, HUIBIN LI et al.
SFOD: Spiking Fusion Object Detector
Yimeng Fan, Wei Zhang, Changsong Liu et al.
SFPNet: Sparse Focal Point Network for Semantic Segmentation on General LiDAR Point Clouds
Yanbo Wang, Wentao Zhao, Cao Chuan et al.
SG-NeRF: Neural Surface Reconstruction with Scene Graph Optimization
Yiyang Chen, Siyan Dong, Xulong Wang et al.
SG-PGM: Partial Graph Matching Network with Semantic Geometric Fusion for 3D Scene Graph Alignment and Its Downstream Tasks
Yaxu Xie, Alain Pagani, Didier Stricker
SGS-SLAM: Semantic Gaussian Splatting For Neural Dense SLAM
Mingrui Li, Shuhong Liu, Heng Zhou et al.
Shadow Cones: A Generalized Framework for Partial Order Embeddings
Tao Yu, Toni Liu, Albert Tseng et al.
Shadow-Enlightened Image Outpainting
Hang Yu, Ruilin Li, Shaorong Xie et al.
Shadow Generation for Composite Image Using Diffusion Model
Qingyang Liu, Junqi You, Jian-Ting Wang et al.
Shadows Don't Lie and Lines Can't Bend! Generative Models don't know Projective Geometry...for now
Ayush Sarkar, Hanlin Mai, Amitabh Mahapatra et al.
Shallow-Deep Collaborative Learning for Unsupervised Visible-Infrared Person Re-Identification
Bin Yang, Jun Chen, Mang Ye
Shape2Scene: 3D Scene Representation Learning Through Pre-training on Shape Data
Tuo FENG, Wenguan Wang, Ruijie Quan et al.
SHAP-EDITOR: Instruction-Guided Latent 3D Editing in Seconds
Minghao Chen, Junyu Xie, Iro Laina et al.
Shape from Heat Conduction
Sriram Narayanan, Mani Ramanagopal, Mark Sheinin et al.
Shapefusion: 3D localized human diffusion models
Rolandos Alexandros Potamias, Michael Tarasiou, Stylianos Ploumpis et al.
Shape-guided Configuration-aware Learning for Endoscopic-image-based Pose Estimation of Flexible Robotic Instruments
YIYAO MA, Kai Chen, Hon-Sing Tong et al.
ShapeLLM: Universal 3D Object Understanding for Embodied Interaction
Zekun Qi, Runpei Dong, Shaochen Zhang et al.
ShapeMatcher: Self-Supervised Joint Shape Canonicalization Segmentation Retrieval and Deformation
Yan Di, Chenyangguang Zhang, Chaowei Wang et al.
ShapeWalk: Compositional Shape Editing Through Language-Guided Chains
Habib Slim, Mohamed Elhoseiny
ShareGPT4V: Improving Large Multi-Modal Models with Better Captions
Lin Chen, Jinsong Li, Xiaoyi Dong et al.
Sharingan: A Transformer Architecture for Multi-Person Gaze Following
Samy Tafasca, Anshul Gupta, Jean-marc Odobez
Sharpness-Aware Data Generation for Zero-shot Quantization
Hoang Dung, Cuong Pham, Trung Le et al.
Sharpness-Aware Minimization Enhances Feature Quality via Balanced Learning
Jacob Springer, Vaishnavh Nagarajan, Aditi Raghunathan
Sheared Backpropagation for Fine-tuning Foundation Models
Zhiyuan Yu, Li Shen, Liang Ding et al.
Sheared LLaMA: Accelerating Language Model Pre-training via Structured Pruning
Mengzhou Xia, Tianyu Gao, Zhiyuan Zeng et al.
Shedding More Light on Robust Classifiers under the lens of Energy-based Models
Mujtaba Hussain Mirza, Maria Rosaria Briglia, Senad Beadini et al.
SHERL: Synthesizing High Accuracy and Efficient Memory for Resource-Limited Transfer Learning
Haiwen Diao, Bo Wan, XU JIA et al.
Sherpa3D: Boosting High-Fidelity Text-to-3D Generation via Coarse 3D Prior
Fangfu Liu, Diankun Wu, Yi Wei et al.