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ORCID18th ECCV Workshops 2024: Milan, Italy - Part XVII
- Alessio Del Bue, Cristian Canton, Jordi Pont-Tuset, Tatiana Tommasi:
Computer Vision - ECCV 2024 Workshops - Milan, Italy, September 29-October 4, 2024, Proceedings, Part XVII. Lecture Notes in Computer Science 15639, Springer 2025, ISBN 978-3-031-91584-0 - Ryoya Nara, Yu-Chieh Lin, Yuji Nozawa
, Youyang Ng, Goh Itoh, Osamu Torii, Yusuke Matsui:
Revisiting Relevance Feedback for CLIP-Based Interactive Image Retrieval. 1-16 - Kengo Nakata, Daisuke Miyashita, Youyang Ng, Yasuto Hoshi, Jun Deguchi:
Rethinking Sparse Lexical Representations for Image Retrieval in the Age of Rising Multi-modal Large Language Models. 17-33 - Mia Gaia Polansky, Charles Herrmann, Junhwa Hur, Deqing Sun, Dor Verbin, Todd E. Zickler:
Boundary Attention: Learning Curves, Corners, Junctions and Grouping. 34-49 - Shuang Song, Luca Morelli, Xinyi Wu, Rongjun Qin, Hessah Albanwan, Fabio Remondino:
Deep Learning Meets Satellite Images - An Evaluation on Handcrafted and Learning-Based Features for Multi-date Satellite Stereo Images. 50-67 - Ismael Benito-Altamirano, David Martínez-Carpena, Hanna Lizarzaburu-Aguilar, Carles Ventura, Cristian Fàbrega, Joan Daniel Prades:
Image Color Consistency in Datasets: The Smooth-TPS3D Method. 68-83 - Anali Alfaro, Ivan Sipiran:
Unsupervised Video Summarization: A Reconstruction Model with Proximal Gradient Methods. 84-99 - Ahmed Radwan, Mohamed Shehata:
TF-OCM: Training-Free Optimal Community Matching for Domain Generalized Few-Shot Learning. 100-115 - Andrew Wang, Mike Davies:
Perspective-Equivariance for Unsupervised Imaging with Camera Geometry. 116-134 - Manuel Hetzel, Hannes Reichert, Konrad Doll, Bernhard Sick:
Reliable Probabilistic Human Trajectory Prediction for Autonomous Applications. 135-152 - Coby Penso, Jacob Goldberger:
Calibration of Network Confidence for Unsupervised Domain Adaptation Using Estimated Accuracy. 153-169 - Kevin Raina:
Logit Disagreement: OoD Detection with Bayesian Neural Networks. 170-183 - Christiaan G. A. Viviers, M. M. Amaan Valiuddin, Francisco Caetano, Lemar Abdi, Lena Filatova, Peter H. N. de With, Fons van der Sommen:
Can Your Generative Model Detect Out-of-Distribution Covariate Shift? 184-201 - Eduardo Aguilar, Bogdan Raducanu, Petia Radeva:
Multi-label Out-of-Distribution Detection via Evidential Learning. 202-218 - Edgardo Solano-Carrillo, Felix Sattler, Antje Alex, Alexander Klein, Bruno Pereira Costa, Ángel Bueno Rodríguez, Jannis Stoppe:
UTrack: Multi-object Tracking with Uncertain Detections. 219-236 - Xixi Liu, Christopher Zach:
TAG: Text Prompt Augmentation for Zero-Shot Out-of-Distribution Detection. 237-254 - Matias Valdenegro-Toro, Mihir Mulye:
Sanity Checks for Explanation Uncertainty. 255-270 - Marcus Klasson, Riccardo Mereu, Juho Kannala, Arno Solin:
Sources of Uncertainty in 3D Scene Reconstruction. 271-289 - Tuan-Hung Vu, Eduardo Valle, Andrei Bursuc, Tommie Kerssies, Daan de Geus, Gijs Dubbelman, Long Qian, Bingke Zhu, Yingying Chen, Ming Tang, Jinqiao Wang, Tomás Vojír, Jan Sochman, Jirí Matas, Michael Smith, Frank P. Ferrie, Shamik Basu, Christos Sakaridis, Luc Van Gool:
The BRAVO Semantic Segmentation Challenge Results in UNCV2024. 290-306 - Tejaswi Kasarla, Abhishek Jha, Faye Tervoort, Rita Cucchiara, Pascal Mettes:
Maximally Separated Active Learning. 307-326 - Álvaro González-Jiménez, Simone Lionetti, Dena Bazazian, Philippe Gottfrois, Fabian Gröger, Alexander A. Navarini, Marc Pouly:
Hyperbolic Metric Learning for Visual Outlier Detection. 327-344 - Sebastian Dille, Ari Blondal, Sylvain Paris, Yagiz Aksoy:
A Bottom-Up Approach to Class-Agnostic Image Segmentation. 345-362 - Max van Spengler, Jan Zahálka, Pascal Mettes:
Adversarial Attacks on Hyperbolic Networks. 363-381 - Paolo Mandica, Luca Franco, Konstantinos Kallidromitis, Suzanne Petryk, Fabio Galasso:
Hyperbolic Learning with Multimodal Large Language Models. 382-398 - Jason Chuan-Chih Chou, Nahid Alam:
Embedding Geometries of Contrastive Language-Image Pre-training. 399-416 - Jeng-Lin Li, Ming-Ching Chang, Wei-Chao Chen:
Learning Multi-Manifold Embedding for Out-of-Distribution Detection. 417-433 - Hyeongji Kim, Changkyu Choi, Michael Kampffmeyer, Terje Berge, Pekka Parviainen, Ketil Malde:
ProxyDR: Deep Hyperspherical Metric Learning with Distance Ratio-Based Formulation. 434-450 - Simone Ricci, Niccolò Biondi, Federico Pernici, Alberto Del Bimbo:
Backward-Compatible Aligned Representations via an Orthogonal Transformation Layer. 451-464
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