ECCV Papers
2,387 papers found • Page 21 of 48
Idea2Img: Iterative Self-Refinement with GPT-4V for Automatic Image Design and Generation
Zhengyuan Yang, Jianfeng Wang, Linjie Li et al.
Idempotent Unsupervised Representation Learning for Skeleton-Based Action Recognition
Lilang Lin, Lehong Wu, Jiahang Zhang et al.
Identity-Consistent Diffusion Network for Grading Knee Osteoarthritis Progression in Radiographic Imaging
Wenhua Wu, Kun Hu, Wenxi Yue et al.
Idling Neurons, Appropriately Lenient Workload During Fine-tuning Leads to Better Generalization
Hongjing Niu, Hanting Li, Bin Li et al.
IDOL: Unified Dual-Modal Latent Diffusion for Human-Centric Joint Video-Depth Generation
Yuanhao Zhai, Kevin Lin, Linjie Li et al.
IFTR: An Instance-Level Fusion Transformer for Visual Collaborative Perception
Shaohong Wang, Lu Bin, Xinyu Xiao et al.
IG Captioner: Information Gain Captioners are Strong Zero-shot Classifiers
Chenglin Yang, Siyuan Qiao, Yuan Cao et al.
IGNORE: Information Gap-based False Negative Loss Rejection for Single Positive Multi-Label Learning
Gyeong Ryeol Song, Noo-ri Kim, Jin-Seop Lee et al.
iHuman: Instant Animatable Digital Humans From Monocular Videos
Pramish Paudel, Anubhav Khanal, Danda Pani Paudel et al.
Image-adaptive 3D Lookup Tables for Real-time Image Enhancement with Bilateral Grids
Wontae Kim, Nam Ik Cho
Image Compression for Machine and Human Vision With Spatial-Frequency Adaptation
han li, Shaohui Li, Shuangrui Ding et al.
Image Demoireing in RAW and sRGB Domains
Shuning Xu, Binbin Song, Xiangyu Chen et al.
Image-Feature Weak-to-Strong Consistency: An Enhanced Paradigm for Semi-Supervised Learning
Zhiyu Wu, Jin shi Cui
Image Manipulation Detection With Implicit Neural Representation and Limited Supervision
Zhenfei Zhang, Mingyang Li, Xin Li et al.
Images are Achilles' Heel of Alignment: Exploiting Visual Vulnerabilities for Jailbreaking Multimodal Large Language Models
Yifan Li, hangyu guo, Kun Zhou et al.
Image-to-Lidar Relational Distillation for Autonomous Driving Data
Anas Mahmoud, Ali Harakeh, Steven Waslander
Imaging Interiors: An Implicit Solution to Electromagnetic Inverse Scattering Problems
Ziyuan Luo, Boxin Shi, Haoliang Li et al.
Imaging with Confidence: Uncertainty Quantification for High-dimensional Undersampled MR Images
Frederik Hoppe, Claudio Mayrink Verdun, Hannah Sophie Laus et al.
iMatching: Imperative Correspondence Learning
Chen Wang, Dasong Gao, Yun-Jou Lin et al.
I-MedSAM: Implicit Medical Image Segmentation with Segment Anything
Xiaobao Wei, Jiajun Cao, Yizhu Jin et al.
IMMA: Immunizing text-to-image Models against Malicious Adaptation
Amber Yijia Zheng, Raymond Yeh
Implicit Concept Removal of Diffusion Models
Zhili LIU, Kai Chen, Yifan Zhang et al.
Implicit Filtering for Learning Neural Signed Distance Functions from 3D Point Clouds
Shengtao Li, Ge Gao, Yudong Liu et al.
Implicit Neural Models to Extract Heart Rate from Video
Pradyumna Chari, Anirudh Bindiganavale Harish, Adnan Armouti et al.
Implicit Steganography Beyond the Constraints of Modality
Sojeong Song, Seoyun Yang, Chang Yoo et al.
Implicit Style-Content Separation using B-LoRA
Yarden Frenkel, Yael Vinker, Ariel Shamir et al.
Improving 2D Feature Representations by 3D-Aware Fine-Tuning
Yuanwen Yue, Anurag Das, Francis Engelmann et al.
Improving 3D Semi-supervised Learning by Effectively Utilizing All Unlabelled Data
Sneha Paul, Zachary Patterson, Nizar Bouguila
Improving Adversarial Transferability via Model Alignment
Avery Ma, Amir-massoud Farahmand, Yangchen Pan et al.
Improving Agent Behaviors with RL Fine-tuning for Autonomous Driving
Zhenghao Peng, Wenjie Luo, Yiren Lu et al.
Improving Diffusion Models for Authentic Virtual Try-on in the Wild
Choi Yisol, Sangkyung Kwak, Kyungmin Lee et al.
Improving Domain Generalization in Self-Supervised Monocular Depth Estimation via Stabilized Adversarial Training
Yuanqi Yao, Gang Wu, Kui Jiang et al.
Improving Feature Stability during Upsampling -- Spectral Artifacts and the Importance of Spatial Context
Shashank Agnihotri, Julia Grabinski, Margret Keuper
Improving Geo-diversity of Generated Images with Contextualized Vendi Score Guidance
Reyhane Askari Hemmat, Melissa Hall, Alicia Yi Sun et al.
Improving Hyperbolic Representations via Gromov-Wasserstein Regularization
yifei Yang, Wonjun Lee, Dongmian Zou et al.
Improving image synthesis with diffusion-negative sampling
Alakh Desai, Nuno Vasconcelos
Improving Intervention Efficacy via Concept Realignment in Concept Bottleneck Models
Nishad Singhi, Jae Myung Kim, Karsten Roth et al.
Improving Knowledge Distillation via Regularizing Feature Direction and Norm
Yuzhu Wang, Lechao Cheng, Manni Duan et al.
Improving Medical Multi-modal Contrastive Learning with Expert Annotations
Yogesh Kumar, Pekka Marttinen
Improving Neural Surface Reconstruction with Feature Priors from Multi-View Images
Xinlin Ren, Chenjie Cao, Yanwei Fu et al.
Improving Point-based Crowd Counting and Localization Based on Auxiliary Point Guidance
I-HSIANG CHEN, Wei-Ting Chen, Yu-Wei Liu et al.
Improving Robustness to Model Inversion Attacks via Sparse Coding Architectures
Sayanton Vhaduri Dibbo, Adam Breuer, Juston Moore et al.
Improving Text-guided Object Inpainting with Semantic Pre-inpainting
Yifu Chen, Jingwen Chen, Yingwei Pan et al.
Improving Unsupervised Domain Adaptation: A Pseudo-Candidate Set Approach
Aveen Dayal, Rishabh Lalla, Linga Reddy Cenkeramaddi et al.
Improving Video Segmentation via Dynamic Anchor Queries
Yikang Zhou, Tao Zhang, Xiangtai Li et al.
Improving Virtual Try-On with Garment-focused Diffusion Models
Siqi Wan, Yehao Li, Jingwen Chen et al.
Improving Vision and Language Concepts Understanding with Multimodal Counterfactual Samples
Chengen Lai, Shengli Song, Sitong Yan et al.
Improving Zero-Shot Generalization for CLIP with Variational Adapter
Ziqian Lu, Fengli Shen, Mushui Liu et al.
Improving Zero-shot Generalization of Learned Prompts via Unsupervised Knowledge Distillation
Marco Mistretta, Alberto Baldrati, Marco Bertini et al.
In Defense of Lazy Visual Grounding for Open-Vocabulary Semantic Segmentation
Dahyun Kang, Minsu Cho