ECCV 2024

2,387 papers

Pseudo-Labelling Should Be Aware of Disguising Channel Activations

Changrui Chen, Kurt Debattista, Jungong Han

CityGuessr: City-Level Video Geo-Localization on a Global Scale

Parth Parag Kulkarni, Gaurav Kumar Nayak, Mubarak Shah

Volumetric Rendering with Baked Quadrature Fields

Gopal Sharma, Daniel Rebain, Kwang Moo Yi, Andrea Tagliasacchi

Diffusion Soup: Model Merging for Text-to-Image Diffusion Models

Benjamin J Biggs, Arjun Seshadri, Yang Zou, Achin Jain, Aditya Golatkar

Caltech Aerial RGB-Thermal Dataset in the Wild

Connor Lee, Matthew Anderson, Nikhil Ranganathan, Xingxing Zuo, Kevin T Do

CriSp: Leveraging Tread Depth Maps for Enhanced Crime-Scene Shoeprint Matching

Samia Shafique, Shu Kong, Charless Fowlkes

Contrasting Deepfakes Diffusion via Contrastive Learning and Global-Local Similarities

Lorenzo Baraldi, Federico Cocchi, Marcella Cornia, Alessandro Nicolosi, Rita Cucchiara

Commonly Interesting Images

Fitim Abdullahu, Helmut Grabner

Region-centric Image-Language Pretraining for Open-Vocabulary Detection

Dahun Kim, Anelia Angelova, Weicheng Kuo

"RICA^2: Rubric-Informed, Calibrated Assessment of Actions"

Abrar Majeedi, Viswanatha Reddy Gajjala, Satya Sai Srinath Namburi GNVV, Yin Li

EditShield: Protecting Unauthorized Image Editing by Instruction-guided Diffusion Models

Ruoxi Chen, Haibo Jin, Yixin Liu, Jinyin Chen, Haohan Wang

RT-Pose: A 4D Radar-Tensor based 3D Human Pose Estimation and Localization Benchmark

Yuan-Hao Ho, Jen-Hao Cheng, Sheng Yao Kuan, Zhongyu Jiang, Wenhao Chai

TCLC-GS: Tightly Coupled LiDAR-Camera Gaussian Splatting for Autonomous Driving

Cheng Zhao, Su Sun, Ruoyu Wang, Yuliang Guo, Jun-Jun Wan

Global Counterfactual Directions

Bartłomiej Sobieski, Przemyslaw Biecek

EAGLES: Efficient Accelerated 3D Gaussians with Lightweight EncodingS

Sharath Girish, Kamal Gupta, Abhinav Shrivastava

FedHARM: Harmonizing Model Architectural Diversity in Federated Learning

Anestis Kastellos, Athanasios Psaltis, Charalampos Z Patrikakis, Petros Daras

CoMusion: Towards Consistent Stochastic Human Motion Prediction via Motion Diffusion

Jiarui Sun, Girish Chowdhary

Large-scale Reinforcement Learning for Diffusion Models

Yinan Zhang, Eric Tzeng, Yilun Du, Dmitry Kislyuk

Thinking Outside the BBox: Unconstrained Generative Object Compositing

Gemma Canet Tarrés, Zhe Lin, Zhifei Zhang, Jianming Zhang, Yizhi Song

Image-to-Lidar Relational Distillation for Autonomous Driving Data

Anas Mahmoud, Ali Harakeh, Steven Waslander

HiFi-Score: Fine-grained Image Description Evaluation with Hierarchical Parsing Graphs

Ziwei Yao, Ruiping Wang, Xilin Chen

CoPT: Unsupervised Domain Adaptive Segmentation using Domain-Agnostic Text Embeddings

Cristina Mata, Kanchana N Ranasinghe, Michael S Ryoo

Fast Registration of Photorealistic Avatars for VR Facial Animation

Chaitanya Patel, Shaojie Bai, Te-Li Wang, Jason Saragih, Shih-En Wei

3D-GOI: 3D GAN Omni-Inversion for Multifaceted and Multi-object Editing

Haoran Li, Long Ma, Haolin Shi, Yanbin Hao, Yong Liao

Flowed Time of Flight Radiance Fields

Mikhail Okunev, Marc Mapeke, Benjamin Attal, Christian Richardt, Matthew O'Toole

DatasetNeRF: Efficient 3D-aware Data Factory with Generative Radiance Fields

Yu Chi, Fangneng Zhan, Sibo Wu, Christian Theobalt, Adam Kortylewski

Computing the Lipschitz constant needed for fast scene recovery from CASSI measurements

Niels Chr Overgaard, Anders Holst

Towards Adaptive Pseudo-label Learning for Semi-Supervised Temporal Action Localization

Feixiang Zhou, Bryan Williams, Hossein Rahmani

Osmosis: RGBD Diffusion Prior for Underwater Image Restoration

Opher Bar Nathan, Deborah Levy, Tali treibitz, Dan Rosenbaum

Which Model Generated This Image? A Model-Agnostic Approach for Origin Attribution

Fengyuan Liu, Haochen Luo, Yiming Li, Philip Torr, Jindong Gu

UNIT: Backdoor Mitigation via Automated Neural Distribution Tightening

Siyuan Cheng, Guangyu Shen, Kaiyuan Zhang, Guanhong Tao, Shengwei An

Open-Set Biometrics: Beyond Good Closed-Set Models

Yiyang Su, Minchul Kim, Feng Liu, Anil Jain, Xiaoming Liu

MobileDiffusion: Instant Text-to-Image Generation on Mobile Devices

Yang Zhao, Zhisheng Xiao, Yanwu Xu, Haolin Jia, Tingbo Hou

Factorizing Text-to-Video Generation by Explicit Image Conditioning

Rohit Girdhar, Mannat Singh, Andrew Brown, Quentin Duval, Samaneh Azadi

ViLA: Efficient Video-Language Alignment for Video Question Answering

Xijun Wang, Junbang Liang, Chun-Kai Wang, Kenan Deng, Yu Lou

OpenIns3D: Snap and Lookup for 3D Open-vocabulary Instance Segmentation

Zhening Huang, Xiaoyang Wu, Xi Chen, Hengshuang Zhao, LEI ZHU

Learning to Drive via Asymmetric Self-Play

Chris Zhang, Sourav Biswas, Kelvin Wong, Kion Fallah, Lunjun Zhang

Embodied Understanding of Driving Scenarios

Yunsong Zhou, Linyan Huang, Qingwen Bu, Jia Zeng, Tianyu Li

ADen: Adaptive Density Representations for Sparse-view Camera Pose Estimation

Hao Tang, Weiyao Wang, Pierre Gleize, Matt Feiszli

RealGen: Retrieval Augmented Generation for Controllable Traffic Scenarios

Wenhao Ding, Yulong Cao, Ding Zhao, Chaowei Xiao, Marco Pavone

Improving Adversarial Transferability via Model Alignment

Avery Ma, Amir-massoud Farahmand, Yangchen Pan, Philip Torr, Jindong Gu

PathMMU: A Massive Multimodal Expert-Level Benchmark for Understanding and Reasoning in Pathology

Yuxuan Sun, Hao Wu, Chenglu Zhu, Sunyi Zheng, Qizi Chen

"SPHINX: A Mixer of Weights, Visual Embeddings and Image Scales for Multi-modal Large Language Models"

Ziyi Lin, Dongyang Liu, Renrui Zhang, peng gao, Longtian Qiu

CoTracker: It is Better to Track Together

Nikita Karaev, Ignacio Rocco, Ben Graham, Natalia Neverova, Andrea Vedaldi

Generating Physically Realistic and Directable Human Motions from Multi-Modal Inputs

Aayam Shrestha, Pan Liu, German Ros, Kai Yuan, Alan Fern

SAMFusion: Sensor-Adaptive Multimodal Fusion for 3D Object Detection in Adverse Weather

Edoardo Palladin, Roland Dietze, Praveen Narayanan, Mario Bijelic, Felix Heide

GAReT: Cross-view Video Geolocalization with Adapters and Auto-Regressive Transformers

Manu S Pillai, Mamshad Nayeem Rizve, Mubarak Shah

Photorealistic Object Insertion with Diffusion-Guided Inverse Rendering

Ruofan Liang, Zan Gojcic, Merlin Nimier-David, David Acuna, Nandita Vijaykumar

"Unsupervised, Online and On-The-Fly Anomaly Detection For Non-Stationary Image Distributions"

Declan GD McIntosh, Alexandra Branzan Albu

Graph Neural Network Causal Explanation via Neural Causal Models

Arman Behnam, Binghui Wang

Diffusion Models as Data Mining Tools

Ioannis Siglidis, Aleksander Holynski, Alexei A. Efros, Mathieu Aubry, Shiry Ginosar

LNL+K: Enhancing Learning with Noisy Labels Through Noise Source Knowledge Integration

Siqi Wang, Bryan Plummer

COMPOSE: Comprehensive Portrait Shadow Editing

Andrew Z Hou, Zhixin Shu, Xuaner Zhang, He Zhang, Yannick Hold-Geoffroy

FMBoost: Boosting Latent Diffusion with Flow Matching

Johannes S Fischer, Ming Gui, Pingchuan Ma, Nick Stracke, Stefan Andreas Baumann

CLIP-DINOiser: Teaching CLIP a few DINO tricks for open-vocabulary semantic segmentation

Monika Wysoczanska, Oriane Siméoni, Michael Ramamonjisoa, Andrei Bursuc, Tomasz Trzcinski

Lossy Image Compression with Foundation Diffusion Models

Lucas Relic, Roberto Azevedo, Markus Gross, Christopher Schroers

Depth on Demand: Streaming Dense Depth from a Low Frame Rate Active Sensor

Andrea Conti, Matteo Poggi, Valerio Cambareri, Stefano Mattoccia

GalLop: Learning global and local prompts for vision-language models

Marc Lafon, Elias Ramzi, Clément Rambour, Nicolas Audebert, Nicolas Thome

SceneScript: Reconstructing Scenes With An Autoregressive Structured Language Model

Armen Avetisyan, Christopher Xie, Henry Howard-Jenkins, Tsun-Yi Yang, Samir Aroudj

Holodepth: Programmable Depth-Varying Projection via Computer-Generated Holography

Dorian Chan, Matthew O'Toole, Sizhuo Ma, Jian Wang

Situated Instruction Following

So Yeon Min, Xavier Puig, Devendra Singh Chaplot, Tsung-Yen Yang, Priyam Parashar

Compensation Sampling for Improved Convergence in Diffusion Models

Hui Lu, Albert Ali Salah, Ronald Poppe

Pick-a-back: Selective Device-to-Device Knowledge Transfer in Federated Continual Learning

HyungJune Lee, JinYi Yoon

A Fair Ranking and New Model for Panoptic Scene Graph Generation

Julian Lorenz, Alexander Pest, Daniel Kienzle, Katja Ludwig, Rainer Lienhart

ProSub: Probabilistic Open-Set Semi-Supervised Learning with Subspace-Based Out-of-Distribution Detection

Erik Wallin, Lennart Svensson, Fredrik Kahl, Lars Hammarstrand

Rethinking Few-shot Class-incremental Learning: Learning from Yourself

Yu-Ming Tang, Yi-Xing Peng, Jingke Meng, Wei-Shi Zheng

UAV First-Person Viewers Are Radiance Field Learners

Liqi Yan, Qifan Wang, Junhan Zhao, Qiang Guan, Zheng Tang

Occupancy as Set of Points

Yiang Shi, Tianheng Cheng, Qian Zhang, Wenyu Liu, Xinggang Wang

Mixture of Efficient Diffusion Experts Through Automatic Interval and Sub-Network Selection

Alireza Ganjdanesh, Yan Kang, Yuchen Liu, Richard Zhang, Zhe Lin

ViGoR: Improving Visual Grounding of Large Vision Language Models with Fine-Grained Reward Modeling

Siming Yan, Min Bai, Weifeng Chen, Xiong Zhou, Qixing Huang

TransCAD: A Hierarchical Transformer for CAD Sequence Inference from Point Clouds

Elona Dupont, Kseniya Cherenkova, Dimitrios Mallis, Gleb A Gusev, Anis Kacem

Semantic Residual Prompts for Continual Learning

Martin Menabue, Emanuele Frascaroli, Matteo Boschini, Enver Sangineto, Lorenzo Bonicelli

VideoStudio: Generating Consistent-Content and Multi-Scene Videos

Fuchen Long, Zhaofan Qiu, Ting Yao, Tao Mei

IntrinsicAnything: Learning Diffusion Priors for Inverse Rendering Under Unknown Illumination

Xi Chen, Sida Peng, Dongchen Yang, Yuan Liu, Bowen Pan

Probabilistic Image-Driven Traffic Modeling via Remote Sensing

Scott Workman, Armin Hadzic

Match-Stereo-Videos: Bidirectional Alignment for Consistent Dynamic Stereo Matching

Junpeng Jing, Ye Mao, Krystian Mikolajczyk

"ProCreate, Don't Reproduce! Propulsive Energy Diffusion for Creative Generation"

Jack Lu, Ryan Teehan, Mengye Ren

LEROjD: Lidar Extended Radar-Only Object Detection

Patrick Palmer, Martin Krüger, Stefan Schütte, Richard Altendorfer, Ganesh Adam

LogoSticker: Inserting Logos into Diffusion Models for Customized Generation

Mingkang Zhu, Xi Chen, Zhongdao Wang, Hengshuang Zhao, Jiaya Jia

Dataset Quantization with Active Learning based Adaptive Sampling

Zhenghao Zhao, Yuzhang Shang, Junyi Wu, Yan Yan

AttentionHand: Text-driven Controllable Hand Image Generation for 3D Hand Reconstruction in the Wild

Junho Park, Kyeongbo Kong, Suk-Ju Kang

EAS-SNN: End-to-End Adaptive Sampling and Representation for Event-based Detection with Recurrent Spiking Neural Networks

Ziming Wang, Ziling Wang, Huaning Li, Lang Qin, Runhao Jiang

DOCCI: Descriptions of Connected and Contrasting Images

Yasumasa Onoe, Sunayana Rane, Zachary E Berger, Yonatan Bitton, Jaemin Cho

Clean & Compact: Efficient Data-Free Backdoor Defense with Model Compactness

Huy Phan, Jinqi Xiao, Yang Sui, Tianfang Zhang, Zijie Tang

Do text-free diffusion models learn discriminative visual representations?

Soumik Mukhopadhyay, Matthew A Gwilliam, Yosuke Yamaguchi, Vatsal Agarwal, Namitha Padmanabhan

Self-Supervised Representation Learning for Adversarial Attack Detection

Yi Li, Plamen Angelov, Neeraj Suri

Region-Aware Sequence-to-Sequence Learning for Hyperspectral Denoising

JiaHua Xiao, Yang Liu, Xing Wei

Trainable Highly-expressive Activation Functions

Irit Chelly, Shahaf E. Finder, Shira Ifergane, Oren Freifeld

Task-Driven Uncertainty Quantification in Inverse Problems via Conformal Prediction

Jeffrey Wen, Rizwan Ahmad, Phillip Schniter

VF-NeRF: Viewshed Fields for Rigid NeRF Registration

Leo Segre, Shai Avidan

AnatoMask: Enhancing Medical Image Segmentation with Reconstruction-guided Self-masking

Yuheng Li, Tianyu Luan, Yizhou Wu, Shaoyan Pan, Yenho Chen

Towards a Density Preserving Objective Function for Learning on Point Sets

Haritha Jayasinghe, Ioannis Brilakis

GarmentCodeData: A Dataset of 3D Made-to-Measure Garments With Sewing Patterns

Maria Korosteleva, Timur Levent Kesdogan, Fabian Kemper, Stephan Wenninger, Jasmin Koller

PixOOD: Pixel-Level Out-of-Distribution Detection

Tomas Vojir, Jan Sochman, Jiri Matas

Distributed Active Client Selection With Noisy Clients Using Model Association Scores

Kwang In Kim

Consistent 3D Line Mapping

Xulong Bai, Hainan Cui, Shuhan Shen

Pseudo-keypoint RKHS Learning for Self-supervised 6DoF Pose Estimation

Yangzheng Wu, Michael Alan Greenspan

HO-Gaussian: Hybrid Optimization of 3D Gaussian Splatting for Urban Scenes

Zhuopeng Li, Yilin Zhang, Chenming Wu, Jianke Zhu, Liangjun Zhang

Sur^2f: A Hybrid Representation for High-Quality and Efficient Surface Reconstruction from Multi-view Images

Zhangjin Huang, Zhihao Liang, Kui Jia

Relightable Neural Actor with Intrinsic Decomposition and Pose Control

Diogo Carbonera Luvizon, Vladislav Golyanik, Adam Kortylewski, Marc Habermann, Christian Theobalt