Papers
SkeletonVis: Interactive Visualization for Understanding Adversarial Attacks on Human Action Recognition Models
Haekyu Park, Zijie J. Wang, Nilaksh Das et al.
Sketch and Customize: A Counterfactual Story Generator
Changying Hao, Liang Pang, Yanyan Lan et al.
Sketch Generation with Drawing Process Guided by Vector Flow and Grayscale
Zhengyan Tong, Xuanhong Chen, Bingbing Ni et al.
Skills2Job: A Recommender System that Encodes Job Offer Embeddings on Graph Databases (Student Abstract)
Andrea Seveso, Anna Giabelli, Lorenzo Malandri et al.
Slimmable Generative Adversarial Networks
Liang Hou, Zehuan Yuan, Lei Huang et al.
SMART: A Situation Model for Algebra Story Problems via Attributed Grammar
Yining Hong, Qing Li, Ran Gong et al.
SMART Frame Selection for Action Recognition
Shreyank N Gowda, Marcus Rohrbach, Laura Sevilla-Lara
SMIL: Multimodal Learning with Severely Missing Modality
Mengmeng Ma, Jian Ren, Long Zhao et al.
Smooth Convex Optimization Using Sub-Zeroth-Order Oracles
Mustafa O. Karabag, Cyrus Neary, Ufuk Topcu
SMT-based Safety Checking of Parameterized Multi-Agent Systems
Paolo Felli, Alessandro Gianola, Marco Montali
SnapMix: Semantically Proportional Mixing for Augmenting Fine-grained Data
Shaoli Huang, Xinchao Wang, Dacheng Tao
Social-DPF: Socially Acceptable Distribution Prediction of Futures
Xiaodan Shi, Xiaowei Shao, Guangming Wu et al.
Software for Agent-based Network Simulation and Visualization
Patrick Shepherd, Isaac Batts, Judy Goldsmith et al.
Solution Concepts in Hierarchical Games Under Bounded Rationality With Applications to Autonomous Driving
Atrisha Sarkar, Krzysztof Czarnecki
Solving Common-Payoff Games with Approximate Policy Iteration
Samuel Sokota, Edward Lockhart, Finbarr Timbers et al.
Solving Infinite-Domain CSPs Using the Patchwork Property
Konrad K Dabrowski, Peter Jonsson, Sebastian Ordyniak et al.
Solving JumpIN’ Using Zero-Dependency Reinforcement Learning (Student Abstract)
Rachel Ostic, Oliver Benning, Patrick Boily
SongMASS: Automatic Song Writing with Pre-training and Alignment Constraint
Zhonghao Sheng, Kaitao Song, Xu Tan et al.
Source Separation and Depthwise Separable Convolutions for Computer Audition (Student Abstract)
Gabriel Mersy, Jin Hong Kuan
Span-Based Event Coreference Resolution
Jing Lu, Vincent Ng
Sparse Single Sweep LiDAR Point Cloud Segmentation via Learning Contextual Shape Priors from Scene Completion
Xu Yan, Jiantao Gao, Jie Li et al.
Sparsity Aware Normalization for GANs
Idan Kligvasser, Tomer Michaeli
Spatial-temporal Causal Inference for Partial Image-to-video Adaptation
Jin Chen, Xinxiao Wu, Yao Hu et al.
Spatial-Temporal Fusion Graph Neural Networks for Traffic Flow Forecasting
Mengzhang Li, Zhanxing Zhu
Spatio-Temporal Difference Descriptor for Skeleton-Based Action Recognition
Chongyang Ding, Kai Liu, Jari Korhonen et al.