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ORCID18th ECCV 2024: Milan, Italy - Part LXXXVIII
- Ales Leonardis
, Elisa Ricci, Stefan Roth, Olga Russakovsky, Torsten Sattler, Gül Varol:
Computer Vision - ECCV 2024 - 18th European Conference, Milan, Italy, September 29-October 4, 2024, Proceedings, Part LXXXVIII. Lecture Notes in Computer Science 15146, Springer 2025, ISBN 978-3-031-73222-5 - Chiranjeev Chiranjeev, Muskan Dosi, Kartik Thakral, Mayank Vatsa, Richa Singh:
HyperSpaceX: Radial and Angular Exploration of HyperSpherical Dimensions. 1-17 - Zichong Meng, Changdi Yang, Jun Liu, Hao Tang, Pu Zhao, Yanzhi Wang:
InstructGIE: Towards Generalizable Image Editing. 18-34 - Wencan Cheng, Eunji Kim, Jong Hwan Ko:
HandDAGT: A Denoising Adaptive Graph Transformer for 3D Hand Pose Estimation. 35-52 - Surbhi Mittal, Arnav Sudan, Mayank Vatsa, Richa Singh, Tamar Glaser, Tal Hassner:
Navigating Text-to-Image Generative Bias Across Indic Languages. 53-67 - Ray Zhang, Zheming Zhou, Min Sun, Omid Ghasemalizadeh, Cheng-Hao Kuo, Ryan M. Eustice, Maani Ghaffari, Arnie Sen:
Correspondence-Free SE(3) Point Cloud Registration in RKHS via Unsupervised Equivariant Learning. 68-86 - Nick Stracke, Stefan Andreas Baumann, Joshua Susskind, Miguel Ángel Bautista, Björn Ommer:
CTRLorALTer: Conditional LoRAdapter for Efficient 0-Shot Control and Altering of T2I Models. 87-103 - Sangyeop Yeo, Yoojin Jang, Jaejun Yoo:
Nickel and Diming Your GAN: A Dual-Method Approach to Enhancing GAN Efficiency via Knowledge Distillation. 104-121 - Wenjie Zhuo, Fan Ma, Hehe Fan, Yi Yang:
VividDreamer: Invariant Score Distillation for Hyper-Realistic Text-to-3D Generation. 122-139 - Riccardo Fogliato, Pratik Patil, Mathew Monfort, Pietro Perona:
A Framework for Efficient Model Evaluation Through Stratification, Sampling, and Estimation. 140-158 - Rohith Peddi, Saksham Singh, Saurabh, Parag Singla, Vibhav Gogate:
Towards Scene Graph Anticipation. 159-175 - Javier Grau Chopite, Patrick Haehn, Matthias B. Hullin:
Non-Line-of-Sight Estimation of Fast Human Motion with Slow Scanning Imagers. 176-194 - Danish Nazir, Timo Bartels, Jan Piewek, Thorsten Bagdonat, Tim Fingscheidt:
Distributed Semantic Segmentation with Efficient Joint Source and Task Decoding. 195-212 - Lin Tian, Thomas Hastings Greer, Raúl San José Estépar, Roni Sengupta, Marc Niethammer:
NePhi: Neural Deformation Fields for Approximately Diffeomorphic Medical Image Registration. 213-237 - Rining Wu, Feixiang Zhou, Ziwei Yin, Jian K. Liu:
Aligning Neuronal Coding of Dynamic Visual Scenes with Foundation Vision Models. 238-254 - Zhenfei Zhang, Mingyang Li, Xin Li, Ming-Ching Chang, Jun-Wei Hsieh:
Image Manipulation Detection with Implicit Neural Representation and Limited Supervision. 255-273 - Ilya Trofimov, Daria Voronkova, Eduard Tulchinskii, Evgeny Burnaev, Serguei Barannikov:
Scalar Function Topology Divergence: Comparing Topology of 3D Objects. 274-290 - Tingyu Qu, Tinne Tuytelaars, Marie-Francine Moens:
Introducing Routing Functions to Vision-Language Parameter-Efficient Fine-Tuning with Low-Rank Bottlenecks. 291-308 - Vitali Petsiuk, Kate Saenko:
Concept Arithmetics for Circumventing Concept Inhibition in Diffusion Models. 309-325 - Sergio Casas, Ben Agro, Jiageng Mao, Thomas Gilles, Alexander Cui, Thomas Li, Raquel Urtasun:
DeTra: A Unified Model for Object Detection and Trajectory Forecasting. 326-342 - Denis Zavadski, Johann-Friedrich Feiden, Carsten Rother:
ControlNet-XS: Rethinking the Control of Text-to-Image Diffusion Models as Feedback-Control Systems. 343-362 - Alexander Timans, Christoph-Nikolas Straehle, Kaspar Sakmann, Eric T. Nalisnick:
Adaptive Bounding Box Uncertainties via Two-Step Conformal Prediction. 363-398 - Yue Zhang, Ben Colman, Xiao Guo, Ali Shahriyari, Gaurav Bharaj:
Common Sense Reasoning for Deepfake Detection. 399-415 - Xiuzhe Wu, Yang-Tian Sun, Handi Chen, Hang Zhou, Jingdong Wang, Zhengzhe Liu, Xiaojuan Qi:
3D-Aware Text-Driven Talking Avatar Generation. 416-433 - Muhammad Zubair Irshad, Sergey Zakharov, Vitor Guizilini, Adrien Gaidon, Zsolt Kira, Rares Ambrus:
NeRF-MAE: Masked AutoEncoders for Self-supervised 3D Representation Learning for Neural Radiance Fields. 434-453 - Animesh Karnewar, Roman Shapovalov, Tom Monnier, Andrea Vedaldi, Niloy J. Mitra, David Novotný:
GOEmbed: Gradient Origin Embeddings for Representation Agnostic 3D Feature Learning. 454-472 - Weizhi An, Wenliang Zhong, Feng Jiang, Hehuan Ma, Junzhou Huang:
Causal Subgraphs and Information Bottlenecks: Redefining OOD Robustness in Graph Neural Networks. 473-489 - Keenon Werling, Janelle Kaneda, Tian Tan, Rishi Agarwal, Six Skov, Tom Van Wouwe, Scott D. Uhlrich, Nicholas A. Bianco, Carmichael F. Ong, Antoine Falisse, Shardul Sapkota, Aidan Chandra, Joshua Carter, Ezio Preatoni, Benjamin J. Fregly, Jennifer L. Hicks, Scott L. Delp, C. Karen Liu:
AddBiomechanics Dataset: Capturing the Physics of Human Motion at Scale. 490-508
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