ECCV Poster Papers
2,387 papers found • Page 9 of 48
Cross-Input Certified Training for Universal Perturbations
Changming Xu, Gagandeep Singh
Cross-Platform Video Person ReID: A New Benchmark Dataset and Adaptation Approach
Shizhou Zhang, Wenlong Luo, De Cheng et al.
CrossScore: A Multi-View Approach to Image Evaluation and Scoring
Zirui Wang, Wenjing Bian, Victor Adrian Prisacariu
Cross-view image geo-localization with Panorama-BEV Co-Retrieval Network
ye junyan, Zhutao Lv, Li Weijia et al.
Crowd-SAM:SAM as a smart annotator for object detection in crowded scenes
Zhi Cai, Yingjie Gao, Yaoyan Zheng et al.
Cs2K: Class-specific and Class-shared Knowledge Guidance for Incremental Semantic Segmentation
Wei Cong, Yang Cong, Yuyang Liu et al.
CSOT: Cross-Scan Object Transfer for Semi-Supervised LiDAR Object Detection
Jinglin Zhan, Tiejun Liu, Rengang Li et al.
CTRLorALTer: Conditional LoRAdapter for Efficient 0-Shot Control & Altering of T2I Models
Nick Stracke, Stefan Andreas Baumann, Joshua Susskind et al.
Curved Diffusion: A Generative Model With Optical Geometry Control
Andrey Voynov, Amir Hertz, Moab Arar et al.
Customize-A-Video: One-Shot Motion Customization of Text-to-Video Diffusion Models
Yixuan Ren, Yang Zhou, Jimei Yang et al.
Customized Generation Reimagined: Fidelity and Editability Harmonized
Jian Jin, Yang Shen, Zhenyong Fu et al.
Cut out the Middleman: Revisiting Pose-based Gait Recognition
YANG FU, Saihui Hou, Shibei Meng et al.
CVT-Occ: Cost Volume Temporal Fusion for 3D Occupancy Prediction
Zhangchen Ye, Tao Jiang, Chenfeng Xu et al.
D4-VTON: Dynamic Semantics Disentangling for Differential Diffusion based Virtual Try-On
Zhaotong Yang, Zicheng Jiang, Xinzhe Li et al.
DA-BEV: Unsupervised Domain Adaptation for Bird's Eye View Perception
Kai Jiang, Jiaxing Huang, Weiying Xie et al.
DailyDVS-200: A Comprehensive Benchmark Dataset for Event-Based Action Recognition
Qi Wang, Zhou Xu, Yuming Lin et al.
DAMSDet: Dynamic Adaptive Multispectral Detection Transformer with Competitive Query Selection and Adaptive Feature Fusion
Junjie Guo, Chenqiang Gao, Fangcen liu et al.
Data Augmentation via Latent Diffusion for Saliency Prediction
Bahar Aydemir, Deblina Bhattacharjee, Tong Zhang et al.
Data Collection-free Masked Video Modeling
Yuchi Ishikawa, Masayoshi Kondo, Yoshimitsu Aoki
DataDream: Few-shot Guided Dataset Generation
Jae Myung Kim, Jessica Bader, Stephan Alaniz et al.
Data Overfitting for On-Device Super-Resolution with Dynamic Algorithm and Compiler Co-Design
Li, zhihao shu, Jie Ji et al.
Data Poisoning Quantization Backdoor Attack
Tran Huynh, Anh Tran, Khoa Doan et al.
Dataset Distillation by Automatic Training Trajectories
Dai Liu, Jindong Gu, Hu Cao et al.
Dataset Enhancement with Instance-Level Augmentations
Orest Kupyn, Christian Rupprecht
Dataset Growth
Ziheng Qin, zhaopan xu, YuKun Zhou et al.
DatasetNeRF: Efficient 3D-aware Data Factory with Generative Radiance Fields
Yu Chi, Fangneng Zhan, Sibo Wu et al.
Dataset Quantization with Active Learning based Adaptive Sampling
Zhenghao Zhao, Yuzhang Shang, Junyi Wu et al.
Data-to-Model Distillation: Data-Efficient Learning Framework
Ahmad Sajedi, Samir Khaki, Lucy Z. Liu et al.
DATENeRF: Depth-Aware Text-based Editing of NeRFs
Sara Rojas Martinez, Julien Philip, Kai Zhang et al.
DCDM: Diffusion-Conditioned-Diffusion Model for Scene Text Image Super-Resolution
Shrey Singh, Prateek Keserwani, Masakazu Iwamura et al.
DC-Solver: Improving Predictor-Corrector Diffusion Sampler via Dynamic Compensation
Wenliang Zhao, Haolin Wang, Jie Zhou et al.
DEAL: Disentangle and Localize Concept-level Explanations for VLMs
Tang Li, Mengmeng Ma, Xi Peng
Debiasing surgeon: fantastic weights and how to find them
Remi Nahon, Ivan Luiz De Moura Matos, Van-Tam Nguyen et al.
Deblur e-NeRF: NeRF from Motion-Blurred Events under High-speed or Low-light Conditions
Weng Fei Low, Gim Hee Lee
Deblurring 3D Gaussian Splatting
Byeonghyeon Lee, Howoong Lee, Xiangyu Sun et al.
DECap: Towards Generalized Explicit Caption Editing via Diffusion Mechanism
Zhen Wang, Xinyun Jiang, Jun Xiao et al.
DecentNeRFs: Decentralized Neural Radiance Fields from Crowdsourced Images
Zaid Tasneem, Akshat Dave, Abhishek Singh et al.
DECIDER: Leveraging Foundation Model Priors for Improved Model Failure Detection and Explanation
Rakshith Subramanyam, Kowshik Thopalli, Vivek Sivaraman Narayanaswamy et al.
Deciphering the Role of Representation Disentanglement: Investigating Compositional Generalization in CLIP Models
Reza Abbasi, Mohammad Rohban, Mahdieh Soleymani Baghshah
DeCo: Decoupled Human-Centered Diffusion Video Editing with Motion Consistency
Xiaojing Zhong, Xinyi Huang, Xiaofeng Yang et al.
DECOLLAGE: 3D Detailization by Controllable, Localized, and Learned Geometry Enhancement
Qimin Chen, Zhiqin Chen, Vladimir Kim et al.
Decomposed Vector-Quantized Variational Autoencoder for Human Grasp Generation
zhe zhao, Mengshi Qi, Huadong Ma
Decomposition Betters Tracking Everything Everywhere
Rui Li, Dong Liu
Decomposition of Neural Discrete Representations for Large-Scale 3D Mapping
Minseong Park, Suhan Woo, Euntai Kim
De-confounded Gaze Estimation
Ziyang Liang, Yiwei Bao, Feng Lu
De-Confusing Pseudo-Labels in Source-Free Domain Adaptation
Idit Diamant, Amir Rosenfeld, Idan Achituve et al.
Decoupling Common and Unique Representations for Multimodal Self-supervised Learning
Yi Wang, Conrad M Albrecht, Nassim Ait Ali Braham et al.
Deep Companion Learning: Enhancing Generalization Through Historical Consistency
Ruizhao Zhu, Venkatesh Saligrama
Deep Cost Ray Fusion for Sparse Depth Video Completion
Jungeon Kim, Soongjin Kim, Jaesik Park et al.
Deep Diffusion Image Prior for Efficient OOD Adaptation in 3D Inverse Problems
Hyungjin Chung, Jong Chul Ye