All Papers

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.

SemTra: A Semantic Skill Translator for Cross-Domain Zero-Shot Policy Adaptation

Sangwoo Shin, Minjong Yoo, Jeongwoo Lee 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

SENCR: A Span Enhanced Two-Stage Network with Counterfactual Rethinking for Chinese NER

Hang Zheng, Qingsong Li, Shen Chen et al.

SeNM-VAE: Semi-Supervised Noise Modeling with Hierarchical Variational Autoencoder

Dihan Zheng, Yihang Zou, Xiaowen Zhang et al.

Sentence-level Prompts Benefit Composed Image Retrieval

Yang Bai, Xinxing Xu, Yong Liu 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

Separate the Wheat from the Chaff: Model Deficiency Unlearning via Parameter-Efficient Module Operation

Xinshuo Hu, Dongfang Li, Zihao Zheng et al.

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.

SEPT: Towards Efficient Scene Representation Learning for Motion Prediction

Zhiqian Lan, Yuxuan Jiang, Yao Mu et al.

SeqGPT: An Out-of-the-Box Large Language Model for Open Domain Sequence Understanding

Tianyu Yu, Chengyue Jiang, Chao Lou et al.

SeqRank: Sequential Ranking of Salient Objects

Sequence Compression Speeds Up Credit Assignment in Reinforcement Learning

Aditya A. Ramesh, Kenny Young, Louis Kirsch 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 Fusion Based Multi-Granularity Consistency for Space-Time Transformer Tracking

Kun Hu, Wenjing Yang, Wanrong Huang 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 Neural Score Estimation: Likelihood-Free Inference with Conditional Score Based Diffusion Models

Louis Sharrock, Jack Simons, Song Liu 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

SeTformer Is What You Need for Vision and Language

Pourya Shamsolmoali, Masoumeh Zareapoor, Eric Granger et al.

Set Learning for Accurate and Calibrated Models

Lukas Muttenthaler, Robert A Vandermeulen, Qiuyi (Richard) Zhang et al.

Set Prediction Guided by Semantic Concepts for Diverse Video Captioning

Settling Decentralized Multi-Agent Coordinated Exploration by Novelty Sharing

Haobin Jiang, Ziluo Ding, Zongqing Lu

SFC: Achieve Accurate Fast Convolution under Low-precision Arithmetic

Liulu He, yufei zhao, rui gao et al.

SFC: Shared Feature Calibration in Weakly Supervised Semantic Segmentation

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-BEV: Satellite-Guided BEV Fusion for Cross-View Semantic Segmentation

Junyan Ye, Qiyan Luo, Jinhua Yu et al.

SGD Finds then Tunes Features in Two-Layer Neural Networks with near-Optimal Sample Complexity: A Case Study in the XOR problem

Margalit Glasgow

SGFormer: Semantic Graph Transformer for Point Cloud-Based 3D Scene Graph Generation

Changsheng Lv, Mengshi Qi, Xia Li et al.

SG-NeRF: Neural Surface Reconstruction with Scene Graph Optimization

Yiyang Chen, Siyan Dong, Xulong Wang et al.

SGNet: Structure Guided Network via Gradient-Frequency Awareness for Depth Map Super-resolution

Zhengxue Wang, Zhiqiang Yan, Jian Yang

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.

Shadow Generation with Decomposed Mask Prediction and Attentive Shadow Filling

Xinhao Tao, Junyan Cao, Yan Hong 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.