Papers
172,654 papers found
CLIPDet3D: Vision-Language Collaborative Distillation for 3D Object Detection
Jiaqi Zhao, Huanfeng Hu, Yong Zhou et al.
CLIP-FTI: Fine-Grained Face Template Inversion via CLIP-Driven Attribute Conditioning
Longchen Dai, Zixuan Shen, Zhiheng Zhou et al.
CLIP-IT: CLIP-based Pairing of Histology Images with Privileged Textual Information
Banafsheh Karimian, Giulia Avanzato, Soufiane Belharbi et al.
CLIPPan: Adapting CLIP as a Supervisor for Unsupervised Pansharpening
Lihua Jian, Jiabo Liu, Shaowu Wu et al.
CLIP's Visual Embedding Projector is a Few-shot Cornucopia
Mohammad Fahes, Tuan-Hung Vu, Andrei Bursuc et al.
CLIP-UP: CLIP-Based Unanswerable Problem Detection for Visual Question Answering
Ben Vardi, Oron Nir, Ariel Shamir
Cliqueformer: Model-Based Optimization with Structured Transformers
Jakub Grudzien Kuba, Pieter Abbeel, Sergey Levine
CLM-Access: A Specialized Foundation Model for High-Dimensional Single-Cell ATAC-Seq Analysis
Ziqiang Liu, Bowen Li, Zhenyu Xu et al.
CLoCKDistill: Consistent Location and Context aware Knowledge Distillation for DETRs
Qizhen Lan, Qing Tian
Closer to Biological Mechanism: Drug-Drug Interaction Prediction from the Perspective of Pharmacophore
Mingliang Dou, Linfeng Wen, Jinyang Xie et al.
CloserToMe: A Unified Framework for Accurate and Transferable Latency Prediction Across Heterogeneous Devices
Cheng Tang, Guochong Sui, Wenqi Lou et al.
CloudMamba: Grouped Selective State Spaces for Point Cloud Analysis
Kanglin Qu, Pan Gao, Qun Dai et al.
CluCERT: Certifying LLM Robustness via Clustering-Guided Denoising Smoothing
Zixia Wang, Gaojie Jin, Jia Hu et al.
CLUE: Bringing Machine Unlearning to Mobile Devices
A.Q.M. Sazzad Sayyed, Nathaniel D. Bastian, Michael De Lucia et al.
CLUENet: Cluster Attention Makes Neural Networks Have Eyes
Xiangshuai Song, Jun-Jie Huang, Tianrui Liu et al.
CLUHCS:Dual-View Contrastive Learning Enabled Unsupervised Heterogeneous Community Search with Meta-Path Behavior Modeling
Xiaoqin Xie, Bin Zhao, Mingzhu Chang et al.
Cluster-based Pseudo-labeling for Semi-Supervised LiDAR Semantic Segmentation
Qingju Guo, Shuang Li, Jing Geng et al.
Cluster-Guided Adversarial Perturbations for Robust Contrastive Learning
Seongyun Seo, Sungmin Han, Jeonghyun Lee et al.
Clustering with Self-Learned Graph Regression
Lai Wei, Jin Liu
ClusterMine: Robust Label-Free Visual Out-Of-Distribution Detection via Concept Mining from Text Corpora
Nikolas Adaloglou, Diana Petrusheva, Mohamed Asker et al.
CMedBench: A Comprehensive Benchmark for Efficient Medical Large Language Models
Shengbo Gao, Jinyang Guo, Lixian Su et al.
CMID: Towards Medical Visual Question Answering via Contrastive Mutual Information Decoding
Zhihong Zhu, Yunyan Zhang, Fan Zhang et al.
CMMCoT: Enhancing Complex Multi-Image Comprehension via Multi-Modal Chain-of-Thought and Memory Augmentation
Guanghao Zhang, Tao Zhong, Yan Xia et al.
CNM-UNet: Continuous Ordinary Differential Equations for Medical Image Segmentation
Tianqi Xu, Yashi Zhu, Quansong He et al.
CO²IF: Language-Bridging Hyperspectral-Multispectral Image Fusion with Coordinated and Cross-modal Optimal Transport
Mingjin Zhang, Zhongkai Yang, Fei Gao