CVPR Papers
5,589 papers found • Page 81 of 112
HyperSDFusion: Bridging Hierarchical Structures in Language and Geometry for Enhanced 3D Text2Shape Generation
Zhiying Leng, Tolga Birdal, Xiaohui Liang et al.
Hyperspherical Classification with Dynamic Label-to-Prototype Assignment
Mohammad Saadabadi Saadabadi, Ali Dabouei, Sahar Rahimi Malakshan et al.
IBD-SLAM: Learning Image-Based Depth Fusion for Generalizable SLAM
Minghao Yin, Shangzhe Wu, Kai Han
ICON: Incremental CONfidence for Joint Pose and Radiance Field Optimization
Weiyao Wang, Pierre Gleize, Hao Tang et al.
ICP-Flow: LiDAR Scene Flow Estimation with ICP
Yancong Lin, Holger Caesar
ID-Blau: Image Deblurring by Implicit Diffusion-based reBLurring AUgmentation
Jia-Hao Wu, Fu-Jen Tsai, Yan-Tsung Peng et al.
Identifying Important Group of Pixels using Interactions
Kosuke Sumiyasu, Kazuhiko Kawamoto, Hiroshi Kera
IDGuard: Robust General Identity-centric POI Proactive Defense Against Face Editing Abuse
Yunshu Dai, Jianwei Fei, Fangjun Huang
ID-like Prompt Learning for Few-Shot Out-of-Distribution Detection
Yichen Bai, Zongbo Han, Bing Cao et al.
IIRP-Net: Iterative Inference Residual Pyramid Network for Enhanced Image Registration
Tai Ma, zhangsuwei, Jiafeng Li et al.
iKUN: Speak to Trackers without Retraining
Yunhao Du, Cheng Lei, Zhicheng Zhao et al.
ImageNet-D: Benchmarking Neural Network Robustness on Diffusion Synthetic Object
Chenshuang Zhang, Fei Pan, Junmo Kim et al.
Image Neural Field Diffusion Models
Yinbo Chen, Oliver Wang, Richard Zhang et al.
Image Processing GNN: Breaking Rigidity in Super-Resolution
Yuchuan Tian, Hanting Chen, Chao Xu et al.
Image Restoration by Denoising Diffusion Models with Iteratively Preconditioned Guidance
Tomer Garber, Tom Tirer
Image Sculpting: Precise Object Editing with 3D Geometry Control
Jiraphon Yenphraphai, Xichen Pan, Sainan Liu et al.
Image-Text Co-Decomposition for Text-Supervised Semantic Segmentation
Ji-Jia Wu, Andy Chia-Hao Chang, Chieh-Yu Chuang et al.
Image-to-Image Matching via Foundation Models: A New Perspective for Open-Vocabulary Semantic Segmentation
Yuan Wang, Rui Sun, Naisong Luo et al.
Imagine Before Go: Self-Supervised Generative Map for Object Goal Navigation
Sixian Zhang, Xinyao Yu, Xinhang Song et al.
I'M HOI: Inertia-aware Monocular Capture of 3D Human-Object Interactions
Chengfeng Zhao, Juze Zhang, Jiashen Du et al.
Implicit Discriminative Knowledge Learning for Visible-Infrared Person Re-Identification
kaijie ren, Lei Zhang
Implicit Event-RGBD Neural SLAM
Delin Qu, Chi Yan, Dong Wang et al.
Implicit Motion Function
Yue Gao, Jiahao Li, Lei Chu et al.
IMPRINT: Generative Object Compositing by Learning Identity-Preserving Representation
Yizhi Song, Zhifei Zhang, Zhe Lin et al.
Improved Baselines with Visual Instruction Tuning
Haotian Liu, Chunyuan Li, Yuheng Li et al.
Improved Implicit Neural Representation with Fourier Reparameterized Training
Kexuan Shi, Xingyu Zhou, Shuhang Gu
Improved Self-Training for Test-Time Adaptation
Jing Ma
Improved Visual Grounding through Self-Consistent Explanations
Ruozhen He, Paola Cascante-Bonilla, Ziyan Yang et al.
Improved Zero-Shot Classification by Adapting VLMs with Text Descriptions
Oindrila Saha, Grant Horn, Subhransu Maji
Improving Bird's Eye View Semantic Segmentation by Task Decomposition
Tianhao Zhao, Yongcan Chen, Yu Wu et al.
Improving Depth Completion via Depth Feature Upsampling
Yufei Wang, Ge Zhang, Shaoqian Wang et al.
Improving Distant 3D Object Detection Using 2D Box Supervision
Zetong Yang, Zhiding Yu, Christopher Choy et al.
Improving Generalization via Meta-Learning on Hard Samples
Nishant Jain, Arun Suggala, Pradeep Shenoy
Improving Generalized Zero-Shot Learning by Exploring the Diverse Semantics from External Class Names
Yapeng Li, Yong Luo, Zengmao Wang et al.
Improving Graph Contrastive Learning via Adaptive Positive Sampling
Jiaming Zhuo, Feiyang Qin, Can Cui et al.
Improving Image Restoration through Removing Degradations in Textual Representations
Jingbo Lin, Zhilu Zhang, Yuxiang Wei et al.
Improving Out-of-Distribution Generalization in Graphs via Hierarchical Semantic Environments
Yinhua Piao, Sangseon Lee, Yijingxiu Lu et al.
Improving Physics-Augmented Continuum Neural Radiance Field-Based Geometry-Agnostic System Identification with Lagrangian Particle Optimization
Takuhiro Kaneko
Improving Plasticity in Online Continual Learning via Collaborative Learning
Maorong Wang, Nicolas Michel, Ling Xiao et al.
Improving Semantic Correspondence with Viewpoint-Guided Spherical Maps
Octave Mariotti, Oisin Mac Aodha, Hakan Bilen
Improving Single Domain-Generalized Object Detection: A Focus on Diversification and Alignment
Muhammad Sohail Danish, Muhammad Haris Khan, Muhammad Akhtar Munir et al.
Improving Spectral Snapshot Reconstruction with Spectral-Spatial Rectification
Jiancheng Zhang, Haijin Zeng, Yongyong Chen et al.
Improving Subject-Driven Image Synthesis with Subject-Agnostic Guidance
Kelvin C.K. Chan, Yang Zhao, Xuhui Jia et al.
Improving the Generalization of Segmentation Foundation Model under Distribution Shift via Weakly Supervised Adaptation
Haojie Zhang, Yongyi Su, Xun Xu et al.
Improving Training Efficiency of Diffusion Models via Multi-Stage Framework and Tailored Multi-Decoder Architecture
Huijie Zhang, Yifu Lu, Ismail Alkhouri et al.
Improving Transferable Targeted Adversarial Attacks with Model Self-Enhancement
Han Wu, Guanyan Ou, Weibin Wu et al.
Improving Unsupervised Hierarchical Representation with Reinforcement Learning
Ruyi An, Yewen Li, Xu He et al.
Improving Visual Recognition with Hyperbolical Visual Hierarchy Mapping
Hyeongjun Kwon, Jinhyun Jang, Jin Kim et al.
In2SET: Intra-Inter Similarity Exploiting Transformer for Dual-Camera Compressive Hyperspectral Imaging
Xin Wang, Lizhi Wang, Xiangtian Ma et al.
InceptionNeXt: When Inception Meets ConvNeXt
Weihao Yu, Pan Zhou, Shuicheng Yan et al.