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ORCID18th ECCV 2024: Milan, Italy - Part LXI
- 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 LXI. Lecture Notes in Computer Science 15119, Springer 2025, ISBN 978-3-031-73029-0 - Martin Menabue, Emanuele Frascaroli, Matteo Boschini, Enver Sangineto, Lorenzo Bonicelli, Angelo Porrello, Simone Calderara:
Semantic Residual Prompts for Continual Learning. 1-18 - Elona Dupont, Kseniya Cherenkova, Dimitrios Mallis, Gleb Gusev, Anis Kacem, Djamila Aouada:
TransCAD: A Hierarchical Transformer for CAD Sequence Inference from Point Clouds. 19-36 - Siming Yan, Min Bai, Weifeng Chen, Xiong Zhou, Qixing Huang, Li Erran Li:
ViGoR: Improving Visual Grounding of Large Vision Language Models with Fine-Grained Reward Modeling. 37-53 - Alireza Ganjdanesh, Yan Kang, Yuchen Liu, Richard Zhang, Zhe Lin, Heng Huang:
Mixture of Efficient Diffusion Experts Through Automatic Interval and Sub-network Selection. 54-71 - Yiang Shi, Tianheng Cheng, Qian Zhang, Wenyu Liu, Xinggang Wang:
Occupancy as Set of Points. 72-87 - Liqi Yan, Qifan Wang, Junhan Zhao, Qiang Guan, Zheng Tang, Jianhui Zhang, Dongfang Liu:
Radiance Field Learners As UAV First-Person Viewers. 88-107 - Yu-Ming Tang, Yi-Xing Peng, Jingke Meng, Wei-Shi Zheng:
Rethinking Few-Shot Class-Incremental Learning: Learning from Yourself. 108-128 - Erik Wallin, Lennart Svensson, Fredrik Kahl, Lars Hammarstrand:
ProSub: Probabilistic Open-Set Semi-supervised Learning with Subspace-Based Out-of-Distribution Detection. 129-147 - Julian Lorenz, Alexander Pest, Daniel Kienzle, Katja Ludwig, Rainer Lienhart:
A Fair Ranking and New Model for Panoptic Scene Graph Generation. 148-164 - JinYi Yoon, HyungJune Lee:
Pick-a-Back: Selective Device-to-Device Knowledge Transfer in Federated Continual Learning. 165-182 - Hui Lu, Albert Ali Salah, Ronald Poppe:
Compensation Sampling for Improved Convergence in Diffusion Models. 183-201 - So Yeon Min, Xavier Puig, Devendra Singh Chaplot, Tsung-Yen Yang, Akshara Rai, Priyam Parashar, Ruslan Salakhutdinov, Yonatan Bisk, Roozbeh Mottaghi:
Situated Instruction Following. 202-228 - Dorian Chan, Matthew O'Toole, Sizhuo Ma, Jian Wang:
Holodepth: Programmable Depth-Varying Projection via Computer-Generated Holography. 229-246 - Armen Avetisyan, Christopher Xie, Henry Howard-Jenkins, Tsun-Yi Yang, Samir Aroudj, Suvam Patra, Fuyang Zhang, Duncan P. Frost, Luke Holland, Campbell Orme, Jakob Engel, Edward Miller, Richard A. Newcombe, Vasileios Balntas:
SceneScript: Reconstructing Scenes with an Autoregressive Structured Language Model. 247-263 - Marc Lafon, Elias Ramzi, Clément Rambour, Nicolas Audebert, Nicolas Thome:
GalLoP: Learning Global and Local Prompts for Vision-Language Models. 264-282 - Andrea Conti, Matteo Poggi, Valerio Cambareri, Stefano Mattoccia:
Depth on Demand: Streaming Dense Depth from a Low Frame Rate Active Sensor. 283-302 - Lucas Relic, Roberto Azevedo, Markus Gross, Christopher Schroers:
Lossy Image Compression with Foundation Diffusion Models. 303-319 - Monika Wysoczanska, Oriane Siméoni, Michaël Ramamonjisoa, Andrei Bursuc, Tomasz Trzcinski, Patrick Pérez:
CLIP-DINOiser: Teaching CLIP a Few DINO Tricks for Open-Vocabulary Semantic Segmentation. 320-337 - Johannes Schusterbauer, Ming Gui, Pingchuan Ma, Nick Stracke, Stefan Andreas Baumann, Vincent Tao Hu, Björn Ommer:
FMBoost: Boosting Latent Diffusion with Flow Matching. 338-355 - Andrew Hou, Zhixin Shu, Xuaner Zhang, He Zhang, Yannick Hold-Geoffroy, Jae Shin Yoon, Xiaoming Liu:
COMPOSE: Comprehensive Portrait Shadow Editing. 356-373 - Siqi Wang, Bryan A. Plummer:
LNL+K: Enhancing Learning with Noisy Labels Through Noise Source Knowledge Integration. 374-392 - Ioannis Siglidis, Aleksander Holynski, Alexei A. Efros, Mathieu Aubry, Shiry Ginosar:
Diffusion Models as Data Mining Tools. 393-409 - Arman Behnam, Binghui Wang:
Graph Neural Network Causal Explanation via Neural Causal Models. 410-427 - Declan McIntosh, Alexandra Branzan Albu:
Unsupervised, Online and On-The-Fly Anomaly Detection for Non-stationary Image Distributions. 428-445 - Ruofan Liang, Zan Gojcic, Merlin Nimier-David, David Acuna, Nandita Vijaykumar, Sanja Fidler, Zian Wang:
Photorealistic Object Insertion with Diffusion-Guided Inverse Rendering. 446-465 - Manu S. Pillai, Mamshad Nayeem Rizve, Mubarak Shah:
GAReT: Cross-View Video Geolocalization with Adapters and Auto-Regressive Transformers. 466-483 - Edoardo Palladin, Roland Dietze, Praveen Narayanan, Mario Bijelic, Felix Heide:
SAMFusion: Sensor-Adaptive Multimodal Fusion for 3D Object Detection in Adverse Weather. 484-503
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