Papers
Cycle-Consistent Learning for Joint Layout-to-Image Generation and Object Detection
Xinhao Cai, Qiuxia Lai, Gensheng Pei et al.
CycleCrash: A Dataset of Bicycle Collision Videos for Collision Prediction and Analysis
Nishq Poorav Desai, Ali Etemad, Michael Greenspan
CycleDistill: Bootstrapping Machine Translation using LLMs with Cyclical Distillation
Deepon Halder, Thanmay Jayakumar, Raj Dabre
CycleDistill: Bootstrapping Machine Translation using LLMs with Cyclical Distillation
Deepon Halder, Thanmay Jayakumar, Raj Dabre
CYCLE-INSTRUCT: Fully Seed-Free Instruction Tuning via Dual Self-Training and Cycle Consistency
Zhanming Shen, Hao Chen, Yulei Tang et al.
CycleOIE: A Low-Resource Training Framework For Open Information Extraction
Zhihong Jin, Chunhong Zhang, Zheng Hu et al.
CycleResearcher: Improving Automated Research via Automated Review
Yixuan Weng, Minjun Zhu, Guangsheng Bao et al.
CycleVAR: Repurposing Autoregressive Model for Unsupervised One-Step Image Translation
Yi Liu, Shengqian Li, Zuzeng Lin et al.
Cyclic Contrastive Knowledge Transfer for Open-Vocabulary Object Detection
Chuhan ZHANG, Chaoyang Zhu, Pingcheng Dong et al.
Cyclic Vision-Language Manipulator: Towards Reliable and Fine-Grained Image Interpretation for Automated Report Generation
Yingying Fang, Zihao Jin, Shaojie Guo et al.
CycSeq: Leveraging Cyclic Data Generation for Accurate Perturbation Prediction in Single-Cell RNA-Seq
Yicheng Liu, Sai Wu, Tianyun Zhang et al.
CypherBench: Towards Precise Retrieval over Full-scale Modern Knowledge Graphs in the LLM Era
Yanlin Feng, Simone Papicchio, Sajjadur Rahman
CYUT at SemEval-2025 Task 6: Prompting with Precision – ESG Analysis via Structured Prompts
Shih - Hung Wu, Z h i - H o n g Lin, Ping - Hsuan Lee
CYUT at SemEval-2025 Task 6: Prompting with Precision – ESG Analysis via Structured Prompts
Shih - Hung Wu, Z h i - H o n g Lin, Ping - Hsuan Lee
D2CS - Documents Graph Clustering using LLM supervision
Yoel Ashkenazi, Etzion Harari, Regev Yehezkel Imra et al.
D^2-DPM: Dual Denoising for Quantized Diffusion Probabilistic Models
Qian Zeng, Jie Song, Han Zheng et al.
D2FP: Learning Implicit Prior for Human Parsing
Junyoung Hong, Hyeri Yang, Ye Ju Kim et al.
D^2iT: Dynamic Diffusion Transformer for Accurate Image Generation
Weinan Jia, Mengqi Huang, Nan Chen et al.
D2SP: Dynamic Dual-Stage Purification Framework for Dual Noise Mitigation in Vision-based Affective Recognition.
Haoran Wang, Xinji Mai, Zeng Tao et al.
D2ST-Adapter: Disentangled-and-Deformable Spatio-Temporal Adapter for Few-shot Action Recognition
Wenjie Pei, Qizhong Tan, Guangming Lu et al.
D^3CTTA: Domain-Dependent Decorrelation for Continual Test-Time Adaption of 3D LiDAR Segmentation
Jichun Zhao, Haiyong Jiang, Haoxuan Song et al.
D3: Diversity, Difficulty, and Dependability-Aware Data Selection for Sample-Efficient LLM Instruction Tuning
Jia Zhang, Chen-Xi Zhang, Yao Liu et al.
D^3-Human: Dynamic Disentangled Digital Human from Monocular Video
Honghu Chen, Bo Peng, Yunfan Tao et al.
D3QE: Learning Discrete Distribution Discrepancy-aware Quantization Error for Autoregressive-Generated Image Detection
Yanran Zhang, Bingyao Yu, Yu Zheng et al.
D^3: Scaling Up Deepfake Detection by Learning from Discrepancy
Yongqi Yang, Zhihao Qian, Ye Zhu et al.