ECCV Papers
2,387 papers found • Page 6 of 48
Can OOD Object Detectors Learn from Foundation Models?
Jiahui Liu, Xin Wen, Shizhen Zhao et al.
Can Textual Semantics Mitigate Sounding Object Segmentation Preference?
Yaoting Wang, Peiwen Sun, Yuanchao Li et al.
CARB-Net: Camera-Assisted Radar-Based Network for Vulnerable Road User Detection
Wei-Yu Lee, Martin Dimitrievski, David Van Hamme et al.
CardiacNet: Learning to Reconstruct Abnormalities for Cardiac Disease Assessment from Echocardiogram Videos
JIEWEN YANG, Yiqun Lin, Bin Pu et al.
CARFF: Conditional Auto-encoded Radiance Field for 3D Scene Forecasting
Jiezhi Yang, Khushi P Desai, Charles Packer et al.
CarFormer: Self-Driving with Learned Object-Centric Representations
Shadi Hamdan, Fatma Guney
Cascade Prompt Learning for Visual-Language Model Adaptation
Ge Wu, Xin Zhang, Zheng Li et al.
Cascade-Zero123: One Image to Highly Consistent 3D with Self-Prompted Nearby Views
Yabo Chen, Jiemin Fang, Yuyang Huang et al.
Catastrophic Overfitting: A Potential Blessing in Disguise
MN Zhao, Lihe Zhang, Yuqiu Kong et al.
CatchBackdoor: Backdoor Detection via Critical Trojan Neural Path Fuzzing
Haibo Jin, Ruoxi Chen, Jinyin Chen et al.
Category Adaptation Meets Projected Distillation in Generalized Continual Category Discovery
Grzegorz Rypesc, Daniel Marczak, Sebastian Cygert et al.
Category-level Object Detection, Pose Estimation and Reconstruction from Stereo Images
Chuanrui Zhang, Yonggen Ling, Minglei Lu et al.
CAT: Enhancing Multimodal Large Language Model to Answer Questions in Dynamic Audio-Visual Scenarios
Qilang Ye, Zitong Yu, Rui Shao et al.
CAT-SAM: Conditional Tuning for Few-Shot Adaptation of Segment Anything Model
Aoran Xiao, Weihao Xuan, Heli Qi et al.
Causality-inspired Discriminative Feature Learning in Triple Domains for Gait Recognition
Haijun Xiong, Bin Feng, Xinggang Wang et al.
Causal Subgraphs and Information Bottlenecks: Redefining OOD Robustness in Graph Neural Networks
Weizhi An, Wenliang Zhong, Feng Jiang et al.
CC-SAM: Enhancing SAM with Cross-feature Attention and Context for Ultrasound Image Segmentation
Shreyank Narayana Gowda, David A Clifton
cDP-MIL: Robust Multiple Instance Learning via Cascaded Dirichlet Process
Yihang Chen, TSAI HOR CHAN, Guosheng Yin et al.
Centering the Value of Every Modality: Towards Efficient and Resilient Modality-agnostic Semantic Segmentation
Xu Zheng, Yuanhuiyi Lyu, jiazhou zhou et al.
Certifiably Robust Image Watermark
Zhengyuan Jiang, Moyang Guo, Yuepeng Hu et al.
CG-SLAM: Efficient Dense RGB-D SLAM in a Consistent Uncertainty-aware 3D Gaussian Field
Jiarui Hu, Xianhao Chen, Boyin Feng et al.
Chains of Diffusion Models
Yanheng Wei, Lianghua Huang, Zhi-Fan Wu et al.
Challenging Forgets: Unveiling the Worst-Case Forget Sets in Machine Unlearning
Chongyu Fan, Jiancheng Liu, Alfred Hero et al.
Chameleon: A Data-Efficient Generalist for Dense Visual Prediction in the Wild
Donggyun Kim, Seongwoong Cho, Semin Kim et al.
Champ: Controllable and Consistent Human Image Animation with 3D Parametric Guidance
Shenhao Zhu, Junming Chen, Zuozhuo Dai et al.
Characterizing Model Robustness via Natural Input Gradients
Adrian Rodriguez-Munoz, Tongzhou Wang, Antonio Torralba
Chat-Edit-3D: Interactive 3D Scene Editing via Text Prompts
Shuangkang Fang, Yufeng Wang, Yi-Hsuan Tsai et al.
ChEX: Interactive Localization and Region Description in Chest X-rays
Philip Müller, Georgios Kaissis, Daniel Rueckert
Chronologically Accurate Retrieval for Temporal Grounding of Motion-Language Models
Kent Fujiwara, Mikihiro Tanaka, Qing Yu
CIC-BART-SSA: : Controllable Image Captioning with Structured Semantic Augmentation
Kalliopi Basioti, Mohamed A Abdelsalam, Federico Fancellu et al.
CipherDM: Secure Three-Party Inference for Diffusion Model Sampling
Xin Zhao, Xiaojun Chen, Xudong Chen et al.
CityGaussian: Real-time High-quality Large-Scale Scene Rendering with Gaussians
Yang Liu, Chuanchen Luo, Lue Fan et al.
CityGuessr: City-Level Video Geo-Localization on a Global Scale
Parth Parag Kulkarni, Gaurav Kumar Nayak, Shah Mubarak
City-on-Web: Real-time Neural Rendering of Large-scale Scenes on the Web
Kaiwen Song, Xiaoyi Zeng, Chenqu Ren et al.
CLAMP-ViT: Contrastive Data-Free Learning for Adaptive Post-Training Quantization of ViTs
Akshat Ramachandran, Souvik Kundu, Tushar Krishna
CLAP: Isolating Content from Style through Contrastive Learning with Augmented Prompts
Yichao Cai, Yuhang Liu, Zhen Zhang et al.
Class-Agnostic Object Counting with Text-to-Image Diffusion Model
Xiaofei Hui, Qian Wu, Hossein Rahmani et al.
Classification Matters: Improving Video Action Detection with Class-Specific Attention
Jinsung Lee, Taeoh Kim, Inwoong Lee et al.
Class-Incremental Learning with CLIP: Adaptive Representation Adjustment and Parameter Fusion
Linlan Huang, Xusheng Cao, Haori Lu et al.
Clean & Compact: Efficient Data-Free Backdoor Defense with Model Compactness
Huy Phan, Jinqi Xiao, Yang Sui et al.
ClearCLIP: Decomposing CLIP Representations for Dense Vision-Language Inference
Mengcheng Lan, Chaofeng Chen, Yiping Ke et al.
Clearer Frames, Anytime: Resolving Velocity Ambiguity in Video Frame Interpolation
Zhihang Zhong, Gurunandan Krishnan, Xiao Sun et al.
CLEO: Continual Learning of Evolving Ontologies
Shishir Muralidhara, Saqib Bukhari, Georg Dr. Schneider et al.
Click-Gaussian: Interactive Segmentation to Any 3D Gaussians
Seokhun Choi, Hyeonseop Song, Jaechul Kim et al.
Click Prompt Learning with Optimal Transport for Interactive Segmentation
Jie Liu, haochen wang, Wenzhe Yin et al.
CLIFF: Continual Latent Diffusion for Open-Vocabulary Object Detection
Wuyang Li, Xinyu Liu, Jiayi Ma et al.
CliffPhys: Camera-based Respiratory Measurement using Clifford Neural Networks
Omar Ghezzi, Giuseppe Boccignone, Giuliano Grossi et al.
CLIP-DINOiser: Teaching CLIP a few DINO tricks for open-vocabulary semantic segmentation
Monika Wysoczanska, Oriane Siméoni, Michaël Ramamonjisoa et al.
CLIP-DPO: Vision-Language Models as a Source of Preference for Fixing Hallucinations in LVLMs
Yassine Ouali, Adrian Bulat, Brais Martinez et al.
CLIP-Guided Generative Networks for Transferable Targeted Adversarial Attacks
Hao Fang, Jiawei Kong, Bin Chen et al.