Papers
176,624 papers found
Designing Specialized Two-Dimensional Graph Spectral Filters for Spatial-Temporal Graph Modeling
Yuxin Chen, Fangru Lin, Jingyi Huo et al.
Design-o-Meter: Towards Evaluating and Refining Graphic Designs
Sahil Goyal, Abhinav Mahajan, Swasti Mishra et al.
Design Principles of Multi-Scale J-Invariant Networks for Self-Supervised Image Denoising
Hayeong Yu, Seungjae Han, Young-Gyu Yoon
Design Principle Transfer in Neural Architecture Search via Large Language Models
Xun Zhou, Xingyu Wu, Liang Feng et al.
De-singularity Subgradient for the q-th-Powered lₚ-Norm Weber Location Problem
Zhao-Rong Lai, Xiaotian Wu, Liangda Fang et al.
DeSiRe-GS: 4D Street Gaussians for Static-Dynamic Decomposition and Surface Reconstruction for Urban Driving Scenes
Chensheng Peng, Chengwei Zhang, Yixiao Wang et al.
DeSPITE: Exploring Contrastive Deep Skeleton-Pointcloud-IMU-Text Embeddings for Advanced Point Cloud Human Activity Understanding
Thomas Kreutz, Max Mühlhäuser, Alejandro Sanchez Guinea
DeSplat: Decomposed Gaussian Splatting for Distractor-Free Rendering
Yihao Wang, Marcus Klasson, Matias Turkulainen et al.
Destroy and Repair Using Hyper-Graphs for Routing
Ke Li, Fei Liu, Zhenkun Wang et al.
Detail Matters: Mamba-Inspired Joint Unfolding Network for Snapshot Spectral Compressive Imaging
Mengjie Qin, Yuchao Feng, Zongliang Wu et al.
Detail-Preserving Latent Diffusion for Stable Shadow Removal
Jiamin Xu, Yuxin Zheng, Zelong Li et al.
Details Enhancement in Unsigned Distance Field Learning for High-fidelity 3D Surface Reconstruction
Cheng Xu, Fei Hou, Wencheng Wang et al.
Details Matter for Indoor Open-vocabulary 3D Instance Segmentation
Sanghun Jung, Jingjing Zheng, Ke Zhang et al.
DeTAM: Defending LLMs Against Jailbreak Attacks via Targeted Attention Modification
Yu Li, Han Jiang, Zhihua Wei
Detect-and-Guide: Self-regulation of Diffusion Models for Safe Text-to-Image Generation via Guideline Token Optimization
Feifei Li, Mi Zhang, Yiming Sun et al.
Detect Any Mirrors: Boosting Learning Reliability on Large-Scale Unlabeled Data with an Iterative Data Engine
Zhaohu Xing, Lihao Liu, Yijun Yang et al.
Detect Anything 3D in the Wild
Hanxue Zhang, Haoran Jiang, Qingsong Yao et al.
Detect, Disambiguate, and Translate: On-Demand Visual Reasoning for Multimodal Machine Translation with Large Vision-Language Models
Danyang Liu, Fanjie Kong, Xiaohang Sun et al.
Detecting Adversarial Data Using Perturbation Forgery
Qian Wang, Chen Li, Yuchen Luo et al.
Detecting and Corrupting Convolution-based Unlearnable Examples
Minghui Li, Xianlong Wang, Zhifei Yu et al.
Detecting and Mitigating Challenges in Zero-Shot Video Summarization with Video LLMs
Luca Cagliero, Lorenzo Vaiani, Eliana Pastor et al.
Detecting and Mitigating Hallucination in Large Vision Language Models via Fine-Grained AI Feedback
Wenyi Xiao, Ziwei Huang, Leilei Gan et al.
Detecting Backdoor Attacks in Federated Learning via Direction Alignment Inspection
Jiahao Xu, Zikai Zhang, Rui Hu
Detecting Bias and Intersectional Bias in Italian Word Embeddings and Language Models
Alexandre Puttick, Mascha Kurpicz-Briki
Detecting Child Objectification on Social Media: Challenges in Language Modeling
Miriam Schirmer, Angelina Voggenreiter, Juergen Pfeffer et al.