ECCV 2024

2,387 papers

DεpS: Delayed ε-Shrinking for Faster Once-For-All Training

Aditya Annavajjala, Alind Khare, Animesh Agrawal, Igor Fedorov, Hugo M Latapie

BlenderAlchemy: Editing 3D Graphics with Vision-Language Models

Ian Huang, Guandao Yang, Leonidas Guibas

Exploring Active Learning in Meta-Learning: Enhancing Context Set Labeling

Wonho Bae, Jing Wang, Danica J. Sutherland

Learning to Build by Building Your Own Instructions

Aaron T Walsman, Muru Zhang, Adam Fishman, Ali Farhadi, Dieter Fox

Snuffy: Efficient Whole Slide Image Classifier

Hossein Jafarinia, Alireza Alipanah, Saeed Razavi, Nahal Mirzaie, Mohammad Hossein Rohban

CARFF: Conditional Auto-encoded Radiance Field for 3D Scene Forecasting

Jiezhi Yang, Khushi P Desai, Charles Packer, Harshil Bhatia, Nicholas Rhinehart

GS2Mesh: Surface Reconstruction from Gaussian Splatting via Novel Stereo Views

Yaniv Wolf, Amit Bracha, Ron Kimmel

When and How do negative prompts take effect?

Yuanhao Ban, Ruochen Wang, Tianyi Zhou, Minhao Cheng, Boqing Gong

Co-speech Gesture Video Generation with 3D Human Meshes

Aniruddha Mahapatra, Richa Mishra, Ziyi Chen, Boyang Ding, Renda Li

Markov Knowledge Distillation: Make Nasty Teachers trained by Self-undermining Knowledge Distillation Fully Distillable

En-Hui Yang, Linfeng Ye

Hierarchical Conditioning of Diffusion Models Using Tree-of-Life for Studying Species Evolution

Mridul Khurana, Arka Daw, M. Maruf, Josef C. Uyeda, Wasila Dahdul

LaWa: Using Latent Space for In-Generation Image Watermarking

Ahmad Rezaei, Mohammad Akbari, Saeed Ranjbar Alvar, Arezou Fatemi, Yong Zhang

On Learning Discriminative Features from Synthesized Data for Self-Supervised Fine-Grained Visual Recognition

Zihu Wang, Lingqiao Liu, Scott Ricardo Figueroa Weston, Samuel Tian, Peng Li

Learning Multimodal Latent Generative Models with Energy-Based Prior

Shiyu Yuan, Jiali Cui, Hanao Li, Tian Han

FroSSL: Frobenius Norm Minimization for Efficient Multiview Self-Supervised Learning

Oscar Skean, Aayush Dhakal, Nathan Jacobs, Luis G Sanchez Giraldo

Modality Translation for Object Detection Adaptation without forgetting prior knowledge

Heitor Rapela Medeiros, Masih Aminbeidokhti, Fidel A Guerrero Pena, David Latortue, Eric Granger

Deciphering the Role of Representation Disentanglement: Investigating Compositional Generalization in CLIP Models

Reza Abbasi, Mohammad Rohban, Mahdieh Soleymani Baghshah

Tight and Efficient Upper Bound on Spectral Norm of Convolutional Layers

Ekaterina Grishina, Mikhail Gorbunov, Maxim Rakhuba

How to Train the Teacher Model for Effective Knowledge Distillation

Shayan Mohajer Hamidi, Xizhen Deng, Renhao Tan, Linfeng Ye, Ahmed Hussein Salamah

AddBiomechanics Dataset: Capturing the Physics of Human Motion at Scale

Keenon Werling, Janelle M Kaneda, Tian Tan, Rishi Agarwal, Six Skov

Causal Subgraphs and Information Bottlenecks: Redefining OOD Robustness in Graph Neural Networks

Weizhi An, Wenliang Zhong, Feng Jiang, Hehuan Ma, Junzhou Huang

GOEmbed: Gradient Origin Embeddings for Representation Agnostic 3D Feature Learning

Animesh Karnewar, Roman Shapovalov, Tom Monnier, Andrea Vedaldi, Niloy J. Mitra

NeRF-MAE: Masked AutoEncoders for Self-Supervised 3D Representation Learning for Neural Radiance Fields

Muhammad Zubair Irshad, Sergey Zakharov, Vitor Guizilini, Adrien Gaidon, Zsolt Kira

Let the Avatar Talk using Texts without Paired Training Data

Xiuzhe Wu, Yang-Tian Sun, Handi Chen, Hang Zhou, Jingdong Wang

Common Sense Reasoning for Deep Fake Detection

Yue Zhang, Ben Colman, Xiao Guo, Ali Shahriyari, Gaurav Bharaj

Adaptive Bounding Box Uncertainties via Two-Step Conformal Prediction

Alexander Timans, Christoph-Nikolas Straehle, Kaspar Sakmann, Eric Nalisnick

ControlNet-XS: Rethinking the Control of Text-to-Image Diffusion Models as Feedback-Control Systems

Denis Zavadski, Johann-Friedrich Feiden, Carsten Rother

DeTra: A Unified Model for Object Detection and Trajectory Forecasting

Sergio Casas, Ben T Agro, Jiageng Mao, Thomas Gilles, ALEXANDER Y CUI

Concept Arithmetics for Circumventing Concept Inhibition in Diffusion Models

Vitali Petsiuk, Kate Saenko

Introducing Routing Functions to Vision-Language Parameter-Efficient Fine-Tuning with Low-Rank Bottlenecks

Tingyu Qu, Tinne Tuytelaars, Marie-Francine Moens

Scalar Function Topology Divergence: Comparing Topology of 3D Objects

Ilya Trofimov, Daria Voronkova, Eduard Tulchinskii, Evgeny Burnaev, Serguei Barannikov

Image Manipulation Detection With Implicit Neural Representation and Limited Supervision

Zhenfei Zhang, Mingyang Li, Xin Li, Ming-Ching Chang, Jun-Wei Hsieh

Aligning Neuronal Coding of Dynamic Visual Scenes with Foundation Vision Models

Rining Wu, Feixiang Zhou, Ziwei Yin, Jian Liu

NePhi: Neural Deformation Fields for Approximately Diffeomorphic Medical Image Registration

Lin Tian, Thomas H Greer, Raul San Jose Estepar, Roni Sengupta, Marc Niethammer

Distributed Semantic Segmentation with Efficient Joint Source and Task Decoding

Danish Nazir, Timo Bartels, Jan Piewek, Thorsten Bagdonat, Tim Fingscheidt

Non-Line-of-Sight Estimation of Fast Human Motion with Slow Scanning Imagers

Javier Grau Chopite, Patrick Hähn, Matthias B Hullin

Towards Scene Graph Anticipation

Rohith Peddi, Saksham Singh, Saurabh ., Parag Singla, Vibhav Gogate

"A Framework for Efficient Model Evaluation through Stratification, Sampling, and Estimation"

Riccardo Fogliato, Pratik Patil, Mathew Monfort, Pietro Perona

VividDreamer: Invariant Score Distillation for Hyper-Realistic Text-to-3D Generation

Wenjie Zhuo, Fan Ma, Hehe Fan, Yi Yang

Nickel and Diming Your GAN: A Dual-Method Approach to Enhancing GAN Efficiency via Knowledge Distillation

Sangyeop Yeo, Yoojin Jang, Jaejun Yoo

CTRLorALTer: Conditional LoRAdapter for Efficient 0-Shot Control & Altering of T2I Models

Nick Stracke, Stefan Andreas Baumann, Joshua Susskind, Miguel Angel Bautista, Bjorn Ommer

Correspondence-Free SE(3) Point Cloud Registration in RKHS via Unsupervised Equivariant Learning

Ray Zhang, Zheming Zhou, Min Sun, Omid Ghasemalizadeh, Cheng-hao Kuo

Navigating Text-to-Image Generative Bias across Indic Languages

Surbhi Mittal, Arnav Sudan, Mayank Vatsa, Richa Singh, Tamar Glaser

HandDAGT: A Denoising Adaptive Graph Transformer for 3D Hand Pose Estimation

Wencan Cheng, Eunji Kim, Jong Hwan Ko

InstructGIE: Towards Generalizable Image Editing

Zichong Meng, Changdi Yang, Jun Liu, Hao Tang, Pu Zhao

HyperSpaceX: Radial and Angular Exploration of HyperSpherical Dimensions

Chiranjeev Chiranjeev, Muskan Dosi, Kartik Thakral, Mayank Vatsa, Richa Singh

latentSplat: Autoencoding Variational Gaussians for Fast Generalizable 3D Reconstruction

Christopher Wewer, Kevin Raj, Eddy Ilg, Bernt Schiele, Jan E. Lenssen

Bones Can't Be Triangles: Accurate and Efficient Vertebrae Keypoint Estimation through Collaborative Error Revision

Jinhee Kim, Taesung Kim, Jaegul Choo

Skews in the Phenomenon Space Hinder Generalization in Text-to-Image Generation

Yingshan Chang, Yasi Zhang, Zhiyuan Fang, Ying Nian Wu, Yonatan Bisk

SSL-Cleanse: Trojan Detection and Mitigation in Self-Supervised Learning

Mengxin Zheng, Jiaqi Xue, Zihao Wang, Xun Chen, Qian Lou

UniIR: Training and Benchmarking Universal Multimodal Information Retrievers

Cong Wei, Yang Chen, Haonan Chen, Hexiang Hu, Ge Zhang

EMIE-MAP: Large-Scale Road Surface Reconstruction Based on Explicit Mesh and Implicit Encoding

Wenhua Wu, Qi Wang, Guangming Wang, Junping Wang, Tiankun Zhao

FAFA: Frequency-Aware Flow-Aided Self-Supervision for Underwater Object Pose Estimation

Jingyi Tang, Gu Wang, Zeyu Chen, Shengquan Li, Xiu Li

Dataset Distillation by Automatic Training Trajectories

Dai Liu, Jindong Gu, Hu Cao, Carsten Trinitis, Martin Schulz

O2V-Mapping: Online Open-Vocabulary Mapping with Neural Implicit Representation

Muer Tie, Julong Wei, Zhengjun Wang, Ke Wu, Shanshuai Yuan

Contextual Correspondence Matters: Bidirectional Graph Matching for Video Summarization

Yunzuo Zhang, Yameng Liu

On Spectral Properties of Gradient-based Explanation Methods

Amir Mehrpanah, Erik Englesson, Hossein Azizpour

Information Bottleneck Based Data Correction in Continual Learning

Shuai Chen, mingyi zhang, Junge Zhang, Kaiqi Huang

Masked Generative Video-to-Audio Transformers with Enhanced Synchronicity

Santiago Pascual, Chunghsin YEH, Ioannis Tsiamas, Joan Serrà

Adapting to Shifting Correlations with Unlabeled Data Calibration

Minh Nguyen, Alan Q Wang, Heejong Kim, Mert Sabuncu

Improving Geo-diversity of Generated Images with Contextualized Vendi Score Guidance

Reyhane Askari Hemmat, Melissa Hall, Alicia Yi Sun, Candace Ross, Michal Drozdzal

PromptFusion: Decoupling Stability and Plasticity for Continual Learning

Haoran Chen, Zuxuan Wu, Xintong Han, Menglin Jia, Yu-Gang Jiang

Instant 3D Human Avatar Generation using Image Diffusion Models

Nikos Kolotouros, Thiemo Alldieck, Enric Corona, Eduard Gabriel Bazavan, Cristian Sminchisescu

Convex Relaxations for Manifold-Valued Markov Random Fields with Approximation Guarantees

Robin Kenis, Emanuel Laude, Panagiotis Patrinos

DiffClass: Diffusion-Based Class Incremental Learning

Zichong Meng, Jie Zhang, Changdi Yang, Zheng Zhan, Pu Zhao

IFTR: An Instance-Level Fusion Transformer for Visual Collaborative Perception

Shaohong Wang, Lu Bin, Xinyu Xiao, Zhiyu Xiang, Hangguan Shan

Iterative Ensemble Training with Anti-Gradient Control for Mitigating Memorization in Diffusion Models

Xiao Liu, Xiaoliu Guan, Yu Wu, Jiaxu Miao

Flatness-aware Sequential Learning Generates Resilient Backdoors

Hoang Pham, The-Anh Ta, Anh T Tran, Khoa D Doan

SUMix: Mixup with Semantic and Uncertain Information

Huafeng Qin, Xin Jin, Hongyu Zhu, Hongchao Liao, Mounim A. El Yacoubi

GroCo: Ground Constraint for Metric Self-Supervised Monocular Depth

Aurélien Cecille, Stefan Duffner, Franck Davoine, Thibault Neveu, Rémi Agier

Benchmarking the Robustness of Cross-view Geo-localization Models

Qingwang Zhang, Yingying Zhu

FipTR: A Simple yet Effective Transformer Framework for Future Instance Prediction in Autonomous Driving

Xingtai Gui, Tengteng Huang, Haonan Shao, Haotian Yao, Chi Zhang

Score Distillation Sampling with Learned Manifold Corrective

Thiemo Alldieck, Nikos Kolotouros, Cristian Sminchisescu

Affine steerers for structured keypoint description

Georg Bökman, Johan Edstedt, Michael Felsberg, Fredrik Kahl

Toward Open Vocabulary Aerial Object Detection with CLIP-Activated Student-Teacher Learning

Yan Li, Weiwei Guo, Xue Yang, Ning Liao, Dunyun He

Fast Context-Based Low-Light Image Enhancement via Neural Implicit Representations

Tomáš Chobola, Yu Liu, Hanyi Zhang, Julia A Schnabel, Tingying Peng

A Compact Dynamic 3D Gaussian Representation for Real-Time Dynamic View Synthesis

Kai Katsumata, Duc Minh Vo, Hideki Nakayama

Non-transferable Pruning

Ruyi Ding, Lili Su, A. Adam Ding, Yunsi Fei

UMERegRobust – Universal Manifold Embedding Compatible Features for Robust Point Cloud Registration

Yuval Haitman, Amit Efraim, Joseph M Francos

Fast Diffusion-Based Counterfactuals for Shortcut Removal and Generation

Nina Weng, Paraskevas Pegios, Eike Petersen, Aasa Feragen, Siavash Arjomand Bigdeli

LookupViT: Compressing visual information to a limited number of tokens

Rajat Koner, Gagan Jain, Sujoy Paul, Volker Tresp, Prateek Jain

Using My Artistic Style? You Must Obtain My Authorization

Xiuli Bi, Haowei Liu, Weisheng Li, Bo Liu, Bin Xiao

Implicit Steganography Beyond the Constraints of Modality

Sojeong Song, Seoyun Yang, Chang D. Yoo, Junmo Kim

Text-Conditioned Resampler For Long Form Video Understanding

Bruno Korbar, Yongqin Xian, Alessio Tonioni, Andrew Zisserman, Federico Tombari

LISO: Lidar-only Self-Supervised 3D Object Detection

Stefan Andreas Baur, Frank Moosmann, Andreas Geiger

Exploiting Semantic Reconstruction to Mitigate Hallucinations in Vision-Language Models

Minchan Kim, Minyeong Kim, Junik Bae, Suhwan Choi, Sungkyung Kim

Improving Diffusion Models for Authentic Virtual Try-on in the Wild

Yisol Choi, Sangkyung Kwak, Kyungmin Lee, Hyungwon Choi, Jinwoo Shin

Learning Where to Look: Self-supervised Viewpoint Selection for Active Localization using Geometrical Information

Luca Di Giammarino, Boyang Sun, Giorgio Grisetti, Marc Pollefeys, Hermann Blum

Missing Modality Prediction for Unpaired Multimodal Learning via Joint Embedding of Unimodal Models

Taesup Kim, Donggeun Kim

A Multimodal Benchmark Dataset and Model for Crop Disease Diagnosis

Xiang Liu, Zhaoxiang Liu, Huan Hu, Zezhou Chen, Kohou Wang

Explore the Potential of CLIP for Training-Free Open Vocabulary Semantic Segmentation

Tong Shao, Zhuotao Tian, Hang Zhao, Jingyong Su

Explain via Any Concept: Concept Bottleneck Model with Open Vocabulary Concepts

Andong Tan, Fengtao Zhou, Hao Chen

Fake It till You Make It: Curricular Dynamic Forgery Augmentations towards General Deepfake Detection

Yuzhen Lin, Wentang Song, Bin Li, Yuezun Li, Jiangqun Ni

Adversarial Diffusion Distillation

Axel Sauer, Dominik Lorenz, Andreas Blattmann, Robin Rombach

Enhancing Semantic Fidelity in Text-to-Image Synthesis: Attention Regulation in Diffusion Models

Yang Zhang, Tze Tzun Teoh, Wei Hern Lim, Kenji Kawaguchi

SparseRadNet: Sparse Perception Neural Network on Subsampled Radar Data

Jialong Wu, Mirko Meuter, Markus Schoeler, Matthias Rottmann

TreeSBA: Tree-Transformer for Self-Supervised Sequential Brick Assembly

Mengqi Guo, Chen Li, Yuyang Zhao, Gim Hee Lee

Learning Pseudo 3D Guidance for View-consistent Texturing with 2D Diffusion

Kehan Li, Yanbo Fan, Yang Wu, Zhongqian Sun, Wei Yang

Spline-based Transformers

Prashanth Chandran, Agon Serifi, Markus Gross, Moritz Bächer

Differentiable Product Quantization for Memory Efficient Camera Relocalization

Zakaria Laskar, Iaroslav Melekhov, Assia Benbihi, Shuzhe Wang, Juho Kannala