Papers
20,003 papers found
CapeNext: Rethinking and Refining Dynamic Support Information for Category-Agnostic Pose Estimation
Yu Zhu, Dan Zeng, Shuiwang Li et al.
CAPO: A Unified Policy Gradient Approach for Reward and Cost Optimization in Safe Reinforcement Learning (Student Abstract)
Xiaotao Liu, Prashant Mohit, Arvind Easwaran
CaPro: Curvilinear-aware Prompt Learning with Single Unlabeled Image for Cost-effective Curvilinear Structure Segmentation
Zhuangzhuang Chen, Qiangyu Chen, Chubin Ou et al.
Caption Anything in Video: Fine-grained Object-centric Captioning via Spatiotemporal Multimodal Prompting
Yolo Yunlong Tang, Jing Bi, Chao Huang et al.
Capturing Dynamic User Interests Under Modality Imbalance for Multimodal Sequential Recommendation
Zilong Li, Jia Zhu, Chenglei Huang et al.
CARE-Bench: A Benchmark of Diverse Client Simulations Guided by Expert Principles for Evaluating LLMs in Psychological Counseling
Bichen Wang, Yixin Sun, Junzhe Wang et al.
CareCom: Generative Image Composition with Calibrated Reference Features
Jiaxuan Chen, Bo Zhang, Qingdong He et al.
Careful Queries, Credible Results: Teaching RAG Models Advanced Web Search Tools with Reinforcement Learning
Yuqin Dai, Shuo Yang, Guoqing Wang et al.
CART: Compositional AutoRegressive Transformer for Image Generation
Siddharth Roheda, Rohit Chowdhury, Aniruddha Bala et al.
CASL: Curvature-Augmented Self-supervised Learning for 3D Anomaly Detection
Yaohua Zha, Xue Yuerong, Chunlin Fan et al.
CasMoE: A Cascaded Framework for Efficient MoE Inference on Resource-constrained Devices
Chengcheng Wang, Haowen He, Liang Zhao et al.
CAST-LUT: Tokenizer-Guided HSV Look-Up Tables for Purple Flare Removal
Pu Wang, Shuning Sun, Jialang Lu et al.
CastX: Cohort-Level Causal Inference Meets Statistical Testing for Faithful and Reliable GNN Explanations
Guanyuan Yu, Yijun Chen, Liang Xu et al.
CATAL: Causally Disentangled Task Representation Learning for Offline Meta-Reinforcement Learning
Shan Cong, Chao Yu, Xiangyuan Lan
Catastrophic Forgetting in Kolmogorov-Arnold Networks
Mohammad Marufur Rahman, Guanchu Wang, Kaixiong Zhou et al.
CATCH: A Controllable Theme Detection Framework with Contextualized Clustering and Hierarchical Generation
Rui Ke, Jiahui Xu, Shenghao Yang et al.
Catching the First Light of Tomorrow: A Hackathon-Based Framework for Introducing High School Students to AI Agents
Long Nguyen, Duc Nguyen, Quan Bui et al.
CaT-Diff: Cascaded Text-enhanced Diffusion Model for Time-Series Imputation
Changjian Xu, Yong Wang, Ruizheng Huang et al.
CaTFormer: Causal Temporal Transformer with Dynamic Contextual Fusion for Driving Intention Prediction
Sirui Wang, Zhou Guan, Bingxi Zhao et al.
CAT-Net: A Cross-Attention Tone Network for Cross-Subject EEG-EMG Fusion Tone Decoding
Yifan Zhuang, Calvin Huang, Zepeng Yu et al.
CATP: Contextually Adaptive Token Pruning for Efficient and Enhanced Multimodal In-Context Learning
Yanshu Li, Jianjiang Yang, Zhennan Shen et al.
CATS: Category-Aware Token-level Steering for Training-Free Redundancy Reduction in Large Reasoning Models
Mengfei Zhang, Zhenglin Wang
CausalCLIP: Causally-Informed Feature Disentanglement and Filtering for Generalizable Detection of Generated Images
Bo Liu, Qiao Qin, Qinghui He
Causal Decoupling Domain Generalization for Remote Sensing Change Detection
Jiaqi Zhao, Jianpeng Xie, Yong Zhou et al.
Causal Discovery from Interval-Based Event Sequences
Lénaïg Cornanguer, Joscha Cüppers, Jilles Vreeken