ECCV 2024

2,387 papers

Multi-Granularity Sparse Relationship Matrix Prediction Network for End-to-End Scene Graph Generation

Lei Wang, Zejian Yuan, Badong Chen

SNP: Structured Neuron-level Pruning to Preserve Attention Scores

KyungHwan Shim, Jaewoong Yun, Shinkook Choi

Efficient Learning of Event-based Dense Representation using Hierarchical Memories with Adaptive Update

Uday Kamal, Saibal Mukhopadhyay

FAMOUS: High-Fidelity Monocular 3D Human Digitization Using View Synthesis

Vishnu Mani Hema, Shubhra Aich, Christian Haene, Jean-Charles Bazin, Fernando De la Torre

Revisit Self-supervision with Local Structure-from-Motion

Shengjie Zhu, Xiaoming Liu

Training-free Video Temporal Grounding using Large-scale Pre-trained Models

Minghang Zheng, Xinhao Cai, Qingchao Chen, Yuxin Peng, Yang Liu

Exploring Conditional Multi-Modal Prompts for Zero-shot HOI Detection

Ting Lei, Shaofeng Yin, Yuxin Peng, Yang Liu

Instruction Tuning-free Visual Token Complement for Multimodal LLMs

Dongsheng Wang, Jiequan Cui, Miaoge Li, Wang Lin, Bo Chen

High-Fidelity Modeling of Generalizable Wrinkle Deformation

Jingfan Guo, Jae Shin Yoon, Shunsuke Saito, Takaaki Shiratori, Hyun Soo Park

Accelerating Online Mapping and Behavior Prediction via Direct BEV Feature Attention

Xunjiang Gu, Guanyu Song, Igor Gilitschenski, Marco Pavone, Boris Ivanovic

Remove Projective LiDAR Depthmap Artifacts via Exploiting Epipolar Geometry

Shengjie Zhu, Girish Chandar Ganesan, Abhinav Kumar, Xiaoming Liu

STAMP: Outlier-Aware Test-Time Adaptation with Stable Memory Replay

Yu Yongcan, Lijun Sheng, Ran He, Jian Liang

Learning Quantized Adaptive Conditions for Diffusion Models

Yuchen Liang, Yuchuan Tian, Lei Yu, Huaao Tang, Jie Hu

TTD: Text-Tag Self-Distillation Enhancing Image-Text Alignment in CLIP to Alleviate Single Tag Bias

Sanghyun Jo, Soohyun Ryu, SungYub Kim, Eunho Yang, Kyungsu Kim

SAM4MLLM: Enhance Multi-Modal Large Language Model for Referring Expression Segmentation

Yi-Chia Chen, Wei-Hua Li, Cheng Sun, Yu-Chiang Frank Wang, Chu-Song Chen

Follow the Rules: Reasoning for Video Anomaly Detection with Large Language Models

Yuchen Yang, Kwonjoon Lee, Behzad Dariush, Yinzhi Cao, Shao-Yuan Lo

Plug and Play: A Representation Enhanced Domain Adapter for Collaborative Perception

Tianyou Luo, Quan Yuan, Yuchen Xia, Guiyang Luo, Yujia Yang

View-Consistent Hierarchical 3D Segmentation Using Ultrametric Feature Fields

Haodi He, Colton Stearns, Adam Harley, Leonidas Guibas

Pre-trained Visual Dynamics Representations for Efficient Policy Learning

Hao Luo, Bohan Zhou, Zongqing Lu

DHR: Dual Features-Driven Hierarchical Rebalancing in Inter- and Intra-Class Regions for Weakly-Supervised Semantic Segmentation

Sanghyun Jo, Fei Pan, In-Jae Yu, Kyungsu Kim

Reinforcement Learning via Auxillary Task Distillation

Abhinav N Harish, Larry Heck, Josiah P Hanna, Zsolt Kira, Andrew Szot

Comprehensive Attribution: Inherently Explainable Vision Model with Feature Detector

Xianren Zhang, Dongwon Lee, Suhang Wang

Overcome Modal Bias in Multi-modal Federated Learning via Balanced Modality Selection

Yunfeng Fan, Wenchao Xu, Haozhao Wang, Fushuo Huo, Jinyu Chen

Adversarial Robustification via Text-to-Image Diffusion Models

Daewon Choi, Jongheon Jeong, Huiwon Jang, Jinwoo Shin

On the Vulnerability of Skip Connections to Model Inversion Attacks

Jun Hao Koh, Sy-Tuyen Ho, Ngoc-Bao Nguyen, Ngai-Man Cheung

Unified Medical Image Pre-training in Language-Guided Common Semantic Space

Xiaoxuan He, Yifan Yang, XINYANG JIANG, Xufang Luo, Haoji Hu

Hierarchical Separable Video Transformer for Snapshot Compressive Imaging

Ping Wang, Yulun Zhang, Lishun Wang, Xin Yuan

Tackling Structural Hallucination in Image Translation with Local Diffusion

Seunghoi Kim, Chen Jin, Tom Diethe, Matteo Figini, Henry FJ Tregidgo

Bridging Different Language Models and Generative Vision Models for Text-to-Image Generation

Shihao Zhao, Shaozhe Hao, Bojia Zi, Huaizhe Xu, Kwan-Yee K. Wong

Online Continuous Generalized Category Discovery

Keon-Hee Park, Hakyung Lee, Kyungwoo Song, Gyeong-Moon Park

Generalizable Symbolic Optimizer Learning

Xiaotian Song, Peng Zeng, Yanan Sun, Andy Song

An Image is Worth 1/2 Tokens After Layer 2: Plug-and-Play Inference Acceleration for Large Vision-Language Models

Liang Chen, Haozhe Zhao, Tianyu Liu, Shuai Bai, Junyang Lin

Few-shot Class Incremental Learning with Attention-Aware Self-Adaptive Prompt

Chenxi Liu, Zhenyi Wang, Tianyi Xiong, Ruibo Chen, Yihan Wu

An Empirical Study and Analysis of Text-to-Image Generation Using Large Language Model-Powered Textual Representation

Zhiyu Tan, mengping yang, Luozheng Qin, Hao Yang, Ye Qian

DPA-Net: Structured 3D Abstraction from Sparse Views via Differentiable Primitive Assembly

Fenggen Yu, Yiming Qian, Xu Zhang, Francisca Gil-Ureta, Brian Jackson

Free-Editor: Zero-shot Text-driven 3D Scene Editing

Nazmul Karim, Hasan Iqbal, Umar Khalid, Chen Chen, Jing Hua

REDIR: Refocus-free Event-based De-occlusion Image Reconstruction

Qi Guo, Hailong Shi, Huan Li, Jinsheng Xiao, Xingyu Gao

Augmented Neural Fine-tuning for Efficient Backdoor Purification

Nazmul Karim, Abdullah Al Arafat, Umar Khalid, Zhishan Guo, Nazanin Rahnavard

Soft Shadow Diffusion (SSD): Physics-inspired Learning for 3D Computational Periscopy

Fadlullah A Raji, John Murray-Bruce

TurboEdit: Real-time text-based disentangled real image editing

Zongze Wu, Nicholas I Kolkin, Jonathan Brandt, Richard Zhang, Eli Shechtman

Benchmarking Spurious Bias in Few-Shot Image Classifiers

Guangtao Zheng, Wenqian Ye, Aidong Zhang

WoVoGen: World Volume-aware Diffusion for Controllable Multi-camera Driving Scene Generation

Jiachen Lu, Ze Huang, Zeyu Yang, Zhang Jiahui, Li Zhang

CroMo-Mixup: Augmenting Cross-Model Representations for Continual Self-Supervised Learning

Erum Mushtaq, Duygu Nur Yaldiz, Yavuz Faruk Bakman, Jie Ding, Chenyang Tao

BAGS: Blur Agnostic Gaussian Splatting through Multi-Scale Kernel Modeling

Cheng Peng, Yutao Tang, Yifan Zhou, Nengyu Wang, Xijun Liu

Geometry Fidelity for Spherical Images

Anders Christensen, Nooshin Mojab, Khushman Patel, Karan Ahuja, Zeynep Akata

Neural Poisson Solver: A Universal and Continuous Framework for Natural Signal Blending

Delong Wu, Hao Zhu, Qi Zhang, You Li, Xun Cao

Learning Representation for Multitask Learning through Self-Supervised Auxiliary Learning

Seokwon Shin, Hyungrok Do, Youngdoo Son

LRSLAM: Low-rank Representation of Signed Distance Fields in Dense Visual SLAM System

Hongbeen Park, Minjeong Park, Giljoo Nam, Jinkyu Kim

GRiT: A Generative Region-to-text Transformer for Object Understanding

Jialian Wu, Jianfeng Wang, Zhengyuan Yang, Zhe Gan, Zicheng Liu

V-Trans4Style: Visual Transition Recommendation for Video Production Style Adaptation

Pooja Guhan, Tsung-Wei Huang, Guan-Ming Su, Subhadra Gopalakrishnan, Dinesh Manocha

Contrastive ground-level image and remote sensing pre-training improves representation learning for natural world imagery

Andy V Huynh, Lauren Gillespie, Jael Lopez-Saucedo, Claire Tang, Rohan Sikand

Direct Distillation between Different Domains

Jialiang Tang, Shuo Chen, Gang Niu, Hongyuan Zhu, Joey Tianyi Zhou

Constructing Concept-based Models to Mitigate Spurious Correlations with Minimal Human Effort

Jeeyung Kim, Ze Wang, Qiang Qiu

Improving Robustness to Model Inversion Attacks via Sparse Coding Architectures

Sayanton V. Dibbo, Adam Breuer, Juston Moore, Michael Teti

Source-Free Domain-Invariant Performance Prediction

Ekaterina Khramtsova, Mahsa Baktashmotlagh, Guido Zuccon, Xi Wang, Mathieu Salzmann

Meta-optimized Angular Margin Contrastive Framework for Video-Language Representation Learning

Thong Thanh Nguyen, Yi Bin, Xiaobao Wu, Xinshuai Dong, Zhiyuan Hu

VideoAgent: Long-form Video Understanding with Large Language Model as Agent

Xiaohan Wang, Yuhui Zhang, Orr Zohar, Serena Yeung-Levy

SAVE: Protagonist Diversification with Structure Agnostic Video Editing

Yeji Song, Wonsik Shin, Junsoo Lee, Jeesoo Kim, Nojun Kwak

Self-Supervised Audio-Visual Soundscape Stylization

Tingle Li, Renhao Wang, Po-Yao Huang, Andrew Owens, Gopala Krishna Anumanchipalli

Ex2Eg-MAE: A Framework for Adaptation of Exocentric Video Masked Autoencoders for Egocentric Social Role Understanding

Minh Tran, Yelin Kim, Che-Chun Su, Min Sun, Cheng-hao Kuo

DECIDER: Leveraging Foundation Model Priors for Improved Model Failure Detection and Explanation

Rakshith Subramanyam, Kowshik Thopalli, Vivek Sivaraman Narayanaswamy, Jayaraman J. Thiagarajan

Object-Aware Query Perturbation for Cross-Modal Image-Text Retrieval

Naoya Sogi, Takashi Shibata, Makoto Terao

TIBET: Identifying and Evaluating Biases in Text-to-Image Generative Models

Aditya Chinchure, Pushkar Shukla, Gaurav Bhatt, Kiri Salij, Kartik Hosanagar

RAVE: Residual Vector Embedding for CLIP-Guided Backlit Image Enhancement

Tatiana Gaintseva, Martin Benning, Gregory Slabaugh

Photorealistic Video Generation with Diffusion Models

Agrim Gupta, Lijun Yu, Kihyuk Sohn, Xiuye Gu, Meera Hahn

EgoBody3M: Egocentric Body Tracking on a VR Headset using a Diverse Dataset

Amy Zhao, Chengcheng Tang, Lezi Wang, Yijing Li, Mihika Dave

TriNeRFLet: A Wavelet Based Triplane NeRF Representation

Rajaei Khatib, Raja Giryes

EpipolarGAN: Omnidirectional Image Synthesis with Explicit Camera Control

Christopher May, Daniel Aliaga

Training A Secure Model against Data-Free Model Extraction

Zhenyi Wang, Li Shen, Junfeng Guo, Tiehang Duan, Siyu Luan

MMVR: Millimeter-wave Multi-View Radar Dataset and Benchmark for Indoor Perception

Mohammad Mahbubur Rahman, Ryoma Yataka, Sorachi Kato, Pu Wang, Peizhao Li

Perceptual Evaluation of Audio-Visual Synchrony Grounded in Viewers’ Opinion Scores

Lucas Goncalves, Prashant Mathur, Chandrashekhar Lavania, Metehan Cekic, Marcello Federico

Animal Avatars: Reconstructing Animatable 3D Animals from Casual Videos

Remy Sabathier, David Novotny, Niloy Mitra

DynMF: Neural Motion Factorization for Real-time Dynamic View Synthesis with 3D Gaussian Splatting

Angelos Kratimenos, Jiahui Lei, Kostas Daniilidis

Merging and Splitting Diffusion Paths for Semantically Coherent Panoramas

Fabio Quattrini, Vittorio Pippi, Silvia Cascianelli, Rita Cucchiara

Keypoint Promptable Re-Identification

Vladimir Somers, Alexandre Alahi, Christophe De Vleeschouwer

Contrastive Region Guidance: Improving Grounding in Vision-Language Models without Training

David Wan, Jaemin Cho, Elias Stengel-Eskin, Mohit Bansal

Towards Reliable Evaluation and Fast Training of Robust Semantic Segmentation Models

Francesco Croce, Naman D. Singh, Matthias Hein

SuperFedNAS: Cost-Efficient Federated Neural Architecture Search for On-Device Inference

Alind Khare, Animesh Agrawal, Aditya Annavajjala, Payman Behnam, Myungjin Lee

EraseDraw : Learning to Insert Objects by Erasing Them from Images

Alper Canberk, Maksym Bondarenko, Ege Ozguroglu, Ruoshi Liu, Carl Vondrick

GenerateCT: Text-Conditional Generation of 3D Chest CT Volumes

Ibrahim Ethem Hamamci, Sezgin Er, Anjany Sekuboyina, Enis Simsar, Alperen Tezcan

De-Confusing Pseudo-Labels in Source-Free Domain Adaptation

Idit Diamant, Amir Rosenfeld, Idan Achituve, Jacob Goldberger, Arnon Netzer

PFedEdit: Personalized Federated Learning via Automated Model Editing

Haolin Yuan, William Paul, John Aucott, Philippe Burlina, Yinzhi Cao

AdaDiff: Accelerating Diffusion Models through Step-Wise Adaptive Computation

Shengkun Tang, Yaqing Wang, Caiwen Ding, Yi Liang, Yao Li

GSD: View-Guided Gaussian Splatting Diffusion for 3D Reconstruction

Yuxuan Mu, Xinxin Zuo, Chuan Guo, Yilin Wang, Juwei Lu

Large-Scale Multi-Hypotheses Cell Tracking Using Ultrametric Contours Maps

Jordão Bragantini, Merlin Lange, Loïc A Royer

SkyScenes: A Synthetic Dataset for Aerial Scene Understanding

Sahil S Khose, Anisha Pal, Aayushi Agarwal, . Deepanshi, Judy Hoffman

Evaluating the Adversarial Robustness of Semantic Segmentation: Trying Harder Pays Off

Levente Halmosi, Bálint Mohos, Márk Jelasity

DrivingDiffusion: Layout-Guided Multi-View Driving Scenarios Video Generation with Latent Diffusion Model

Li Xiaofan, Zhang Yifu, Ye Xiaoqing

Generalizable Human Gaussians for Sparse View Synthesis

Youngjoong Kwon, Baole Fang, Yixing Lu, Haoye Dong, Cheng Zhang

Imaging with Confidence: Uncertainty Quantification for High-dimensional Undersampled MR Images

Frederik Hoppe, Claudio Mayrink Verdun, Hannah Sophie Laus, Sebastian Endt, Marion Irene Menzel

Learning to Make Keypoints Sub-Pixel Accurate

Shinjeong Kim, Marc Pollefeys, Daniel Barath

A Diffusion Model for Simulation Ready Coronary Anatomy with Morpho-skeletal Control

Karim Kadry, Shreya Gupta, Jonas Sogbadji, Michiel Schaap, Kersten Petersen

Explorative Inbetweening of Time and Space

Haiwen Feng, Zheng Ding, Zhihao Xia, Simon Niklaus, Victoria Fernandez Abrevaya

Data Augmentation via Latent Diffusion for Saliency Prediction

Bahar Aydemir, Deblina Bhattacharjee, Tong Zhang, Mathieu Salzmann, Sabine Süsstrunk

Salience-Based Adaptive Masking: Revisiting Token Dynamics for Enhanced Pre-training

Hyesong Choi, Hyejin Park, Kwang Moo Yi, Sungmin Cha, Dongbo Min

MetaAT: Active Testing for Label-Efficient Evaluation of Dense Recognition Tasks

Sanbao Su, Xin Li, Thang Doan, Sima Behpour, Wenbin He

Instant Uncertainty Calibration of NeRFs Using a Meta-Calibrator

Niki Amini-Naieni, Tomas Jakab, Andrea Vedaldi, Ronald Clark

Adaptive Compressed Sensing with Diffusion-Based Posterior Sampling

Noam Elata, Tomer Michaeli, Michael Elad

Semi-supervised Segmentation of Histopathology Images with Noise-Aware Topological Consistency

Meilong Xu, Xiaoling Hu, Saumya Gupta, Shahira Abousamra, Chao Chen

Context-Aware Action Recognition: Introducing a Comprehensive Dataset for Behavior Contrast

Tatsuya Sasaki, Yoshiki Ito, Satoshi Kondo