CVPR Poster Papers
4,874 papers found • Page 10 of 98
Decentralized Diffusion Models
David McAllister, Matthew Tancik, Jiaming Song et al.
Decision SpikeFormer: Spike-Driven Transformer for Decision Making
Wei Huang, Qinying Gu, Nanyang Ye
DeCLIP: Decoupled Learning for Open-Vocabulary Dense Perception
Junjie Wang, BIN CHEN, Yulin Li et al.
DeClotH: Decomposable 3D Cloth and Human Body Reconstruction from a Single Image
Hyeongjin Nam, Donghwan Kim, Jeongtaek Oh et al.
Decoder Gradient Shield: Provable and High-Fidelity Prevention of Gradient-Based Box-Free Watermark Removal
Haonan An, Guang Hua, Zhengru Fang et al.
Decompositional Neural Scene Reconstruction with Generative Diffusion Prior
Junfeng Ni, Yu Liu, Ruijie Lu et al.
DecoupledGaussian: Object-Scene Decoupling for Physics-Based Interaction
Miaowei Wang, Yibo Zhang, Rui Ma et al.
Decouple Distortion from Perception: Region Adaptive Diffusion for Extreme-low Bitrate Perception Image Compression
Jinchang Xu, Shaokang Wang, Jintao Chen et al.
Decoupled Motion Expression Video Segmentation
Hao Fang, Runmin Cong, Xiankai Lu et al.
Decouple-Then-Merge: Finetune Diffusion Models as Multi-Task Learning
Qianli Ma, Xuefei Ning, Dongrui Liu et al.
Decoupling Fine Detail and Global Geometry for Compressed Depth Map Super-Resolution
Huan Zheng, Wencheng Han, Jianbing Shen
Decoupling Training-Free Guided Diffusion by ADMM
Youyuan Zhang, Zehua Liu, Zenan Li et al.
DeDe: Detecting Backdoor Samples for SSL Encoders via Decoders
Sizai Hou, Songze Li, Duanyi Yao
DeepCompress-ViT: Rethinking Model Compression to Enhance Efficiency of Vision Transformers at the Edge
Sabbir Ahmed, Abdullah Al Arafat, Deniz Najafi et al.
DeepLA-Net: Very Deep Local Aggregation Networks for Point Cloud Analysis
Ziyin Zeng, Mingyue Dong, Jian Zhou et al.
DefMamba: Deformable Visual State Space Model
Leiye Liu, Miao Zhang, Jihao Yin et al.
DEFOM-Stereo: Depth Foundation Model Based Stereo Matching
Hualie Jiang, Zhiqiang Lou, Laiyan Ding et al.
Deformable Radial Kernel Splatting
Yihua Huang, Mingxian Lin, Yangtian Sun et al.
DeformCL: Learning Deformable Centerline Representation for Vessel Extraction in 3D Medical Image
Ziwei Zhao, Zhixing Zhang, Yuhang Liu et al.
Degradation-Aware Feature Perturbation for All-in-One Image Restoration
Xiangpeng Tian, Xiangyu Liao, Xiao Liu et al.
DEIM: DETR with Improved Matching for Fast Convergence
Shihua Huang, Zhichao Lu, Xiaodong Cun et al.
DejaVid: Encoder-Agnostic Learned Temporal Matching for Video Classification
Darryl Ho, Samuel Madden
DELT: A Simple Diversity-driven EarlyLate Training for Dataset Distillation
Zhiqiang Shen, Ammar Sherif, Zeyuan Yin et al.
Denoising Functional Maps: Diffusion Models for Shape Correspondence
Aleksei Zhuravlev, Zorah Lähner, Vladislav Golyanik
Dense Dispersed Structured Light for Hyperspectral 3D Imaging of Dynamic Scenes
Suhyun Shin, Seungwoo Yoon, Ryota Maeda et al.
Dense Match Summarization for Faster Two-view Estimation
Jonathan Astermark, Anders Heyden, Viktor Larsson
Dense-SfM: Structure from Motion with Dense Consistent Matching
JongMin Lee, Sungjoo Yoo
DeNVeR: Deformable Neural Vessel Representations for Unsupervised Video Vessel Segmentation
Chun-Hung Wu, Shih-Hong Chen, Chih Yao Hu et al.
Depth Any Camera: Zero-Shot Metric Depth Estimation from Any Camera
Yuliang Guo, Sparsh Garg, S. Mahdi H. Miangoleh et al.
DepthCues: Evaluating Monocular Depth Perception in Large Vision Models
Duolikun Danier, Mehmet Aygun, Changjian Li et al.
Depth-Guided Bundle Sampling for Efficient Generalizable Neural Radiance Field Reconstruction
Li Fang, Hao Zhu, Longlong Chen et al.
DepthSplat: Connecting Gaussian Splatting and Depth
Haofei Xu, Songyou Peng, Fangjinhua Wang et al.
Derivative-Free Diffusion Manifold-Constrained Gradient for Unified XAI
Won Jun Kim, Hyungjin Chung, Jaemin Kim et al.
DeRS: Towards Extremely Efficient Upcycled Mixture-of-Experts Models
Yongqi Huang, Peng Ye, Chenyu Huang et al.
Descriptor-In-Pixel : Point-Feature Tracking For Pixel Processor Arrays
Laurie Bose, Piotr Dudek, Jianing Chen
Design2GarmentCode: Turning Design Concepts to Tangible Garments Through Program Synthesis
Feng Zhou, Ruiyang Liu, chen liu et al.
DesignDiffusion: High-Quality Text-to-Design Image Generation with Diffusion Models
Zhendong Wang, Jianmin Bao, Shuyang Gu 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.
DeSplat: Decomposed Gaussian Splatting for Distractor-Free Rendering
Yihao Wang, Marcus Klasson, Matias Turkulainen et al.
Detail-Preserving Latent Diffusion for Stable Shadow Removal
Jiamin Xu, Yuxin Zheng, Zelong Li et al.
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.
Detecting Adversarial Data Using Perturbation Forgery
Qian Wang, Chen Li, Yuchen Luo et al.
Detecting Open World Objects via Partial Attribute Assignment
Muli Yang, Gabriel James Goenawan, Huaiyuan Qin et al.
Detecting Out-of-Distribution Through the Lens of Neural Collapse
Litian Liu, Yao Qin
Deterministic Certification of Graph Neural Networks against Graph Poisoning Attacks with Arbitrary Perturbations
Jiate Li, Meng Pang, Yun Dong et al.
Deterministic Image-to-Image Translation via Denoising Brownian Bridge Models with Dual Approximators
Bohan Xiao, PEIYONG WANG, Qisheng He et al.
Deterministic-to-Stochastic Diverse Latent Feature Mapping for Human Motion Synthesis
Hua Yu, Weiming Liu, Gui Xu et al.
Devil is in the Detail: Towards Injecting Fine Details of Image Prompt in Image Generation via Conflict-free Guidance and Stratified Attention
Kyungmin Jo, Jooyeol Yun, Jaegul Choo
Devils in Middle Layers of Large Vision-Language Models: Interpreting, Detecting and Mitigating Object Hallucinations via Attention Lens
Zhangqi Jiang, Junkai Chen, Beier Zhu et al.