Papers
Exploring Self- and Cross-Triplet Correlations for Human-Object Interaction Detection
Weibo Jiang, Weihong Ren, Jiandong Tian et al.
Exploring Sparse Visual Prompt for Domain Adaptive Dense Prediction
Senqiao Yang, Jiarui Wu, Jiaming Liu et al.
Exploring Temporal Feature Correlation for Efficient and Stable Video Semantic Segmentation
Matthieu Lin, Jenny Sheng, Yubin Hu et al.
Exploring Transformer Extrapolation
Zhen Qin, Yiran Zhong, Hui Deng
Exponential Hardness of Optimization from the Locality in Quantum Neural Networks
Hao-Kai Zhang, Chengkai Zhu, Geng Liu et al.
Exponent Relaxation of Polynomial Zonotopes and Its Applications in Formal Neural Network Verification
Tobias Ladner, Matthias Althoff
Exposing the Deception: Uncovering More Forgery Clues for Deepfake Detection
Zhongjie Ba, Qingyu Liu, Zhenguang Liu et al.
Expressive and Flexible Simulation of Information Spread Strategies in Social Networks Using Planning
Bharath Muppasani, Vignesh Narayanan, Biplav Srivastava et al.
Expressive Forecasting of 3D Whole-Body Human Motions
Pengxiang Ding, Qiongjie Cui, Haofan Wang et al.
Expressive Multi-Agent Communication via Identity-Aware Learning
Wei Du, Shifei Ding, Lili Guo et al.
F³-Pruning: A Training-Free and Generalized Pruning Strategy towards Faster and Finer Text-to-Video Synthesis
Sitong Su, Jianzhi Liu, Lianli Gao et al.
FaceCoresetNet: Differentiable Coresets for Face Set Recognition
Gil Shapira, Yosi Keller
FaceRSA: RSA-Aware Facial Identity Cryptography Framework
Zhongyi Zhang, Tianyi Wei, Wenbo Zhou et al.
FacetCRS: Multi-Faceted Preference Learning for Pricking Filter Bubbles in Conversational Recommender System
Yongsen Zheng, Ziliang Chen, Jinghui Qin et al.
FACL-Attack: Frequency-Aware Contrastive Learning for Transferable Adversarial Attacks
Hunmin Yang, Jongoh Jeong, Kuk-Jin Yoon
Fact-Driven Logical Reasoning for Machine Reading Comprehension
Siru Ouyang, Zhuosheng Zhang, Hai Zhao
Factored Online Planning in Many-Agent POMDPs
Maris F. L. Galesloot, Thiago D. Simão, Sebastian Junges et al.
Factorized Diffusion Autoencoder for Unsupervised Disentangled Representation Learning
Ancong Wu, Wei-Shi Zheng
Factorized Explainer for Graph Neural Networks
Rundong Huang, Farhad Shirani, Dongsheng Luo
Fair Allocation of Items in Multiple Regions
Houyu Zhou, Tianze Wei, Biaoshuai Tao et al.
FAIR-FER: A Latent Alignment Approach for Mitigating Bias in Facial Expression Recognition (Student Abstract)
Syed Sameen Ahmad Rizvi, Aryan Seth, Pratik Narang
Fair Graph Learning Using Constraint-Aware Priority Adjustment and Graph Masking in River Networks
Erhu He, Yiqun Xie, Alexander Sun et al.
Fair Lotteries for Participatory Budgeting
Haris Aziz, Xinhang Lu, Mashbat Suzuki et al.
Fair Multivariate Adaptive Regression Splines for Ensuring Equity and Transparency
Parian Haghighat, Denisa Gándara, Lulu Kang et al.