Paper Papers
5,546 papers found • Page 9 of 111
Bridging the Semantic Granularity Gap Between Text and Frame Representations for Partially Relevant Video Retrieval
WooJin Jun, WonJun Moon, Cheol-Ho Cho et al.
Bridging the User-side Knowledge Gap in Knowledge-aware Recommendations with Large Language Models
Zheng Hu, Zhe Li, Ziyun Jiao et al.
Bridging Traffic State and Trajectory for Dynamic Road Network and Trajectory Representation Learning
Chengkai Han, Jingyuan Wang, Yongyao Wang et al.
Bridging Training and Execution via Dynamic Directed Graph-Based Communication in Cooperative Multi-Agent Systems
Zhuohui Zhang, Bin He, Bin Cheng et al.
Bright-NeRF: Brightening Neural Radiance Field with Color Restoration from Low-Light RAW Images
Min Wang, Xin Huang, Guoqing Zhou et al.
BSAFusion: A Bidirectional Stepwise Feature Alignment Network for Unaligned Medical Image Fusion
Huafeng Li, Dayong Su, Qing Cai et al.
BSDB-Net: Band-Split Dual-Branch Network with Selective State Spaces Mechanism for Monaural Speech Enhancement
Cunhang Fan, Enrui Liu, Andong Li et al.
BUFF: Bayesian Uncertainty Guided Diffusion Probabilistic Model for Single Image Super-Resolution
Zihao He, Shengchuan Zhang, Runze Hu et al.
Building a Multi-modal Spatiotemporal Expert for Zero-shot Action Recognition with CLIP
Yating Yu, Congqi Cao, Yueran Zhang et al.
C2F-TP: A Coarse-to-Fine Denoising Framework for Uncertainty-Aware Trajectory Prediction
Zichen Wang, Hao Miao, Senzhang Wang et al.
C2P-CLIP: Injecting Category Common Prompt in CLIP to Enhance Generalization in Deepfake Detection
Chuangchuang Tan, Renshuai Tao, Huan Liu et al.
C2PD: Continuity-Constrained Pixelwise Deformation for Guided Depth Super-Resolution
Jiahui Kang, Qing Cai, Runqing Tan et al.
C3oT: Generating Shorter Chain-of-Thought Without Compromising Effectiveness
Yu Kang, Xianghui Sun, Liangyu Chen et al.
CAD-GPT: Synthesising CAD Construction Sequence with Spatial Reasoning-Enhanced Multimodal LLMs
Siyu Wang, Cailian Chen, Xinyi Le et al.
CA-Edit: Causality-Aware Condition Adapter for High-Fidelity Local Facial Attribute Editing
Xiaole Xian, Xilin He, Zenghao Niu et al.
CAGE: Unsupervised Visual Composition and Animation for Controllable Video Generation
Aram Davtyan, Sepehr Sameni, Björn Ommer et al.
CAKE: Category Aware Knowledge Extraction for Open-Vocabulary Object Detection
Shiyuan Ma, Donglin Qian, Kai Ye et al.
CALF: Aligning LLMs for Time Series Forecasting via Cross-modal Fine-Tuning
Peiyuan Liu, Hang Guo, Tao Dai et al.
Calibrated Disambiguation for Partial Multi-label Learning
Zhuoming Li, Yuheng Jia, Mi Yu et al.
Calibrating Large Language Models with Sample Consistency
Qing Lyu, Kumar Shridhar, Chaitanya Malaviya et al.
CALLIC: Content Adaptive Learning for Lossless Image Compression
Daxin Li, Yuanchao Bai, Kai Wang et al.
CAMH: Advancing Model Hijacking Attack in Machine Learning
Xing He, Jiahao Chen, Yuwen Pu et al.
CA-MLIF: Cross-Attention and Multimodal Low-Rank Interaction Fusion Framework for Tumor Prognostic Prediction
Yajun An, Jiale Chen, Huan Lin et al.
CAMSIC: Content-aware Masked Image Modeling Transformer for Stereo Image Compression
Xinjie Zhang, Shenyuan Gao, Zhening Liu et al.
Can AI Inspire Biophilic Design in Immersive Virtual Reality Workspaces to Enhance Well-being?
Sara Romano, Luana Marangelli, Enricoandrea Laviola et al.
Can Generative Models Improve Self-Supervised Representation Learning?
Sana Ayromlou, Vahid Reza Khazaie, Fereshteh Forghani et al.
Can Large Language Models Derive High-Level Cognition from Low-Level and Fragmented Foundational Information?
Yang Liu, Xiaoping Wang, Kai Lu
Can LLMs Obfuscate Code? A Systematic Analysis of Large Language Models into Assembly Code Obfuscation
Seyedreza Mohseni, Seyedali Mohammadi, Deepa Tilwani et al.
Can LVLMs Obtain a Driver’s License? A Benchmark Towards Reliable AGI for Autonomous Driving
Yuhang Lu, Yichen Yao, Jiadong Tu et al.
Can People's Brains Synchronize during Remote AR Collaboration?
Jaehwan You, Myeongul Jung, Kwanguk Kim
Can Private Machine Learning Be Fair?
Joseph Rance, Filip Svoboda
Can Students Beyond the Teacher? Distilling Knowledge from Teacher’s Bias
Jianhua Zhang, Yi Gao, Ruyu Liu et al.
Can the Perceived Capability of Your Virtual Avatar Enhance Exercise Performance?
Sen-Zhe Xu, Bosheng Huang, Zian Zhou et al.
Can Watermarking Large Language Models Prevent Copyrighted Text Generation and Hide Training Data?
Michael-Andrei Panaitescu-Liess, Zora Che, Bang An et al.
Can We Get Rid of Handcrafted Feature Extractors? SparseViT: Nonsemantics-Centered, Parameter-Efficient Image Manipulation Localization Through Spare-Coding Transformer
Lei Su, Xiaochen Ma, Xuekang Zhu et al.
Capability Instruction Tuning
Yi-Kai Zhang, De-Chuan Zhan, Han-Jia Ye
CAPrompt: Cyclic Prompt Aggregation for Pre-Trained Model Based Class Incremental Learning
Qiwei Li, Jiahuan Zhou
Capture Global Feature Statistics for One-Shot Federated Learning
Zenghao Guan, Yucan Zhou, Xiaoyan Gu
Capturing the Unseen: Vision-Free Facial Motion Capture Using Inertial Measurement Units
Youjia Wang, Yiwen Wu, Hengan Zhou et al.
Cardboard Controller: A Cost-Effective Method to Support Complex Interactions in Mobile VR
Kristen Grinyer, Robert J. Teather
CaRDiff: Video Salient Object Ranking Chain of Thought Reasoning for Saliency Prediction with Diffusion
Yunlong Tang, Gen Zhan, Li Yang et al.
CareBot: A Pioneering Full-Process Open-Source Medical Language Model
Lulu Zhao, Weihao Zeng, Xiaofeng Shi et al.
Cascaded Diffusion Models for Virtual Try-On: Improving Control and Resolution
Guangyuan Li, Yongkang Wang, Junsheng Luan et al.
CasFT: Future Trend Modeling for Information Popularity Prediction with Dynamic Cues-Driven Diffusion Models
Xin Jing, Yichen Jing, Yuhuan Lu et al.
CASUAL: Conditional Support Alignment for Domain Adaptation with Label Shift
Anh T Nguyen, Lam Tran, Anh Tong et al.
Casual-VRAuth: A Design Framework Bridging Focused and Casual Interactions for Behavioral Authentication in Virtual Reality
Guanyu Ye, BoYu Gao, Huawei Tu
Category Prompt Mamba Network for Nuclei Segmentation and Classification
Ye Zhang, Zijie Fang, Yifeng Wang et al.
Cauchy Diffusion: A Heavy-tailed Denoising Diffusion Probabilistic Model for Speech Synthesis
Qi Lian, Yu Qi, Yueming Wang
Causal Discovery by Interventions via Integer Programming
Abdelmonem Elrefaey, Rong Pan
Causal Inference over Visual-Semantic-Aligned Graph for Image Classification
Lei Meng, Xiangxian Li, Xiaoshuo Yan et al.