Papers
FRED: Towards a Full Rotation-Equivariance in Aerial Image Object Detection
Chanho Lee, Jinsu Son, Hyounguk Shon et al.
Frequency-Adaptive Pan-Sharpening with Mixture of Experts
Xuanhua He, Keyu Yan, Rui Li et al.
Frequency-Aware Deepfake Detection: Improving Generalizability through Frequency Space Domain Learning
Chuangchuang Tan, Yao Zhao, Shikui Wei et al.
Frequency-Controlled Diffusion Model for Versatile Text-Guided Image-to-Image Translation
Xiang Gao, Zhengbo Xu, Junhan Zhao et al.
Frequency Oracle for Sensitive Data Monitoring (Student Abstract)
Richard Sances, Olivera Kotevska, Paul Laiu
Frequency Shuffling and Enhancement for Open Set Recognition
Lijun Liu, Rui Wang, Yuan Wang et al.
Frequency Spectrum Is More Effective for Multimodal Representation and Fusion: A Multimodal Spectrum Rumor Detector
An Lao, Qi Zhang, Chongyang Shi et al.
Friendly Attacks to Improve Channel Coding Reliability
Anastasiia Kurmukova, Deniz Gunduz
FRIH: Fine-Grained Region-Aware Image Harmonization
Jinlong Peng, Zekun Luo, Liang Liu et al.
From Artificially Real to Real: Leveraging Pseudo Data from Large Language Models for Low-Resource Molecule Discovery
Yuhan Chen, Nuwa Xi, Yanrui Du et al.
From Coarse to Fine: A Distillation Method for Fine-Grained Emotion-Causal Span Pair Extraction in Conversation
Xinhao Chen, Chong Yang, Changzhi Sun et al.
From Consumers to Critical Users: Prompty, an AI Literacy Tool for High School Students
Deepak Varuvel Dennison, Raycelle C. C. Garcia, Parth Sarin et al.
From GARCH to Neural Network for Volatility Forecast
Pengfei Zhao, Haoren Zhu, Wilfred Siu Hung NG et al.
From Hope to Safety: Unlearning Biases of Deep Models via Gradient Penalization in Latent Space
Maximilian Dreyer, Frederik Pahde, Christopher J. Anders et al.
From Past to Future: Rethinking Eligibility Traces
Dhawal Gupta, Scott M. Jordan, Shreyas Chaudhari et al.
From Raw Video to Pedagogical Insights: A Unified Framework for Student Behavior Analysis
Zefang Yu, Mingye Xie, Jingsheng Gao et al.
From Retrieval to Generation: A Simple and Unified Generative Model for End-to-End Task-Oriented Dialogue
Zeyuan Ding, Zhihao Yang, Ling Luo et al.
From Static to Dynamic: Knowledge Metabolism for Large Language Models
Mingzhe Du, Anh Tuan Luu, Bin Ji et al.
From Toxic to Trustworthy: Using Self-Distillation and Semi-supervised Methods to Refine Neural Networks
Xianda Zhang, Baolin Zheng, Jianbao Hu et al.
Frozen CLIP Transformer Is an Efficient Point Cloud Encoder
Xiaoshui Huang, Zhou Huang, Sheng Li et al.
Frugal LMs Trained to Invoke Symbolic Solvers Achieve Parameter-Efficient Arithmetic Reasoning
Subhabrata Dutta, Ishan Pandey, Joykirat Singh et al.
FT-GAN: Fine-Grained Tune Modeling for Chinese Opera Synthesis
Meizhen Zheng, Peng Bai, Xiaodong Shi et al.
Full Bayesian Significance Testing for Neural Networks
Zehua Liu, Zimeng Li, Jingyuan Wang et al.
Full-Body Motion Reconstruction with Sparse Sensing from Graph Perspective
Feiyu Yao, Zongkai Wu, Li Yi